From 30614dd6128e65f755d521644479296e434b19d3 Mon Sep 17 00:00:00 2001
From: bbauvin <baptiste.bauvin@centrale-marseille.fr>
Date: Thu, 25 Aug 2016 14:39:51 -0400
Subject: [PATCH] Added Brnaseq, need to improve it
---
Code/MonoMutliViewClassifiers/ExecClassif.py | 117 +-
.../Monoview/ExecClassifMonoView.py | 5 +-
.../Multiview/ExecMultiview.py | 3 +-
.../Multiview/Fusion/analyzeResults.py | 2 +-
.../Multiview/GetMultiviewDb.py | 31 +-
.../Multiview/Mumbo/analyzeResults.py | 13 +-
..._RNASEQ_Clinical-ModifiedMultiOmic-LOG.log | 19 +
..._RNASEQ_Clinical-ModifiedMultiOmic-LOG.log | 19 +
..._RNASEQ_Clinical-ModifiedMultiOmic-LOG.log | 30 +
.../MonoMutliViewClassifiers/Multiview/run.py | 2 +-
.../ResultAnalysis.py | 33 +-
...hyl_MiRNA__RNASeq_Clinic-MultiOmic-LOG.log | 3216 +++++++++++++++++
...hyl_MiRNA__RNASeq_Clinic-MultiOmic-LOG.log | 8 +
...hyl_MiRNA__RNASeq_Clinic-MultiOmic-LOG.log | 89 +
...hyl_MiRNA__RNASeq_Clinic-MultiOmic-LOG.log | 8 +
...A__RNASeq_Clinic-ModifiedMultiOmic-LOG.log | 41 +
...A__RNASeq_Clinic-ModifiedMultiOmic-LOG.log | 19 +
...A__RNASeq_Clinic-ModifiedMultiOmic-LOG.log | 43 +
...A__RNASeq_Clinic-ModifiedMultiOmic-LOG.log | 261 ++
...A__RNASeq_Clinic-ModifiedMultiOmic-LOG.log | 19 +
...A__RNASeq_Clinic-ModifiedMultiOmic-LOG.log | 353 ++
...A__RNASeq_Clinic-ModifiedMultiOmic-LOG.log | 353 ++
...A__RNASeq_Clinic-ModifiedMultiOmic-LOG.log | 353 ++
...A__RNASeq_Clinic-ModifiedMultiOmic-LOG.log | 353 ++
...A__RNASeq_Clinic-ModifiedMultiOmic-LOG.log | 353 ++
...A__RNASeq_Clinic-ModifiedMultiOmic-LOG.log | 441 +++
...A__RNASeq_Clinic-ModifiedMultiOmic-LOG.log | 19 +
...A__RNASeq_Clinic-ModifiedMultiOmic-LOG.log | 338 ++
.../Results/poulet20160825-093643.png | Bin 0 -> 10223 bytes
.../Results/poulet20160825-093757.png | Bin 0 -> 10565 bytes
.../Results/poulet20160825-093830.png | Bin 0 -> 11661 bytes
.../Results/poulet20160825-094109.png | Bin 0 -> 22324 bytes
.../Results/poulet20160825-094453.png | Bin 0 -> 13825 bytes
.../Results/poulet20160825-094521.png | Bin 0 -> 11821 bytes
.../Results/poulet20160825-104326.png | Bin 0 -> 23995 bytes
.../Results/poulet20160825-115104.png | Bin 0 -> 36578 bytes
.../Results/poulet20160825-122010.png | Bin 0 -> 46390 bytes
37 files changed, 6472 insertions(+), 69 deletions(-)
create mode 100644 Code/MonoMutliViewClassifiers/Multiview/Results/20160825-120401-CMultiV-Fusion-Methyl_MiRNA_RNASEQ_Clinical-ModifiedMultiOmic-LOG.log
create mode 100644 Code/MonoMutliViewClassifiers/Multiview/Results/20160825-120506-CMultiV-Fusion-Methyl_MiRNA_RNASEQ_Clinical-ModifiedMultiOmic-LOG.log
create mode 100644 Code/MonoMutliViewClassifiers/Multiview/Results/20160825-120526-CMultiV-Fusion-Methyl_MiRNA_RNASEQ_Clinical-ModifiedMultiOmic-LOG.log
create mode 100644 Code/MonoMutliViewClassifiers/Results/20160825-095006-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-MultiOmic-LOG.log
create mode 100644 Code/MonoMutliViewClassifiers/Results/20160825-095124-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-MultiOmic-LOG.log
create mode 100644 Code/MonoMutliViewClassifiers/Results/20160825-095531-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-MultiOmic-LOG.log
create mode 100644 Code/MonoMutliViewClassifiers/Results/20160825-095558-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
create mode 100644 Code/MonoMutliViewClassifiers/Results/20160825-095629-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
create mode 100644 Code/MonoMutliViewClassifiers/Results/20160825-095646-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
create mode 100644 Code/MonoMutliViewClassifiers/Results/20160825-095702-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
create mode 100644 Code/MonoMutliViewClassifiers/Results/20160825-100239-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
create mode 100644 Code/MonoMutliViewClassifiers/Results/20160825-100455-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
create mode 100644 Code/MonoMutliViewClassifiers/Results/20160825-101203-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
create mode 100644 Code/MonoMutliViewClassifiers/Results/20160825-103609-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
create mode 100644 Code/MonoMutliViewClassifiers/Results/20160825-105027-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
create mode 100644 Code/MonoMutliViewClassifiers/Results/20160825-114521-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
create mode 100644 Code/MonoMutliViewClassifiers/Results/20160825-121008-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
create mode 100644 Code/MonoMutliViewClassifiers/Results/20160825-131951-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
create mode 100644 Code/MonoMutliViewClassifiers/Results/20160825-132014-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
create mode 100644 Code/MonoMutliViewClassifiers/Results/poulet20160825-093643.png
create mode 100644 Code/MonoMutliViewClassifiers/Results/poulet20160825-093757.png
create mode 100644 Code/MonoMutliViewClassifiers/Results/poulet20160825-093830.png
create mode 100644 Code/MonoMutliViewClassifiers/Results/poulet20160825-094109.png
create mode 100644 Code/MonoMutliViewClassifiers/Results/poulet20160825-094453.png
create mode 100644 Code/MonoMutliViewClassifiers/Results/poulet20160825-094521.png
create mode 100644 Code/MonoMutliViewClassifiers/Results/poulet20160825-104326.png
create mode 100644 Code/MonoMutliViewClassifiers/Results/poulet20160825-115104.png
create mode 100644 Code/MonoMutliViewClassifiers/Results/poulet20160825-122010.png
diff --git a/Code/MonoMutliViewClassifiers/ExecClassif.py b/Code/MonoMutliViewClassifiers/ExecClassif.py
index 2a02e7dd..e3ed083d 100644
--- a/Code/MonoMutliViewClassifiers/ExecClassif.py
+++ b/Code/MonoMutliViewClassifiers/ExecClassif.py
@@ -21,7 +21,7 @@ parser = argparse.ArgumentParser(
groupStandard = parser.add_argument_group('Standard arguments')
groupStandard.add_argument('-log', action='store_true', help='Use option to activate Logging to Console')
groupStandard.add_argument('--name', metavar='STRING', action='store', help='Name of Database (default: %(default)s)',
- default='MultiOmic')
+ default='ModifiedMultiOmic')
groupStandard.add_argument('--type', metavar='STRING', action='store', help='Type of database : .hdf5 or .csv',
default='.hdf5')
groupStandard.add_argument('--views', metavar='STRING', action='store',help='Name of the views selected for learning',
@@ -39,9 +39,9 @@ groupStandard.add_argument('--fileFeat', metavar='STRING', action='store',
groupClass = parser.add_argument_group('Classification arguments')
groupClass.add_argument('--CL_split', metavar='FLOAT', action='store',
help='Determine the learning rate if > 1.0, number of fold for cross validation', type=float,
- default=0.9)
+ default=0.7)
groupClass.add_argument('--CL_nbFolds', metavar='INT', action='store', help='Number of folds in cross validation',
- type=int, default=2)
+ type=int, default=5)
groupClass.add_argument('--CL_nb_class', metavar='INT', action='store', help='Number of classes, -1 for all', type=int,
default=4)
groupClass.add_argument('--CL_classes', metavar='STRING', action='store',
@@ -156,7 +156,7 @@ views = [str(DATASET.get("View"+str(viewIndex)).attrs["name"]) for viewIndex in
NB_CLASS = DATASET.get("Metadata").attrs["nbClass"]
-logging.info("Begginging")
+logging.info("Start:\t Finding all available mono- & multiview algorithms")
benchmark = {}
if args.CL_type.split(":")==["Benchmark"]:
if args.CL_algorithm=='':
@@ -197,7 +197,6 @@ if "Monoview" in args.CL_type.strip(":"):
benchmark["Monoview"] = args.CL_algos_monoview.split(":")
-classifierTable = "a"
fusionClassifierConfig = "a"
fusionMethodConfig = "a"
mumboNB_ITER = 2
@@ -217,7 +216,7 @@ AdaboostKWARGS = {"0": args.CL_Ada_n_est.split(":"), "1": args.CL_Ada_b_est.spli
argumentDictionaries = {"Monoview": {}, "Multiview": []}
if benchmark["Monoview"]:
- for view in args.views.split(":"):
+ for view in views:
argumentDictionaries["Monoview"][str(view)] = []
for classifier in benchmark["Monoview"]:
@@ -227,66 +226,68 @@ if benchmark["Monoview"]:
argumentDictionaries["Monoview"][str(view)].append(arguments)
bestClassifiers = []
bestClassifiersConfigs = []
+resultsMonoview =[]
for viewIndex, viewArguments in enumerate(argumentDictionaries["Monoview"].values()):
- resultsMonoview = Parallel(n_jobs=nbCores)(
- delayed(ExecMonoview)(DATASET.get("View"+str(viewIndex)).value, DATASET.get("labels").value, args.name,
+ resultsMonoview += (Parallel(n_jobs=nbCores)(
+ delayed(ExecMonoview)(DATASET.get("View"+str(viewIndex)), DATASET.get("labels").value, args.name,
args.CL_split, args.CL_nbFolds, 1, args.type, args.pathF, gridSearch=True,
**arguments)
- for arguments in viewArguments)
+ for arguments in viewArguments))
- accuracies = [result[1] for result in resultsMonoview]
- classifiersNames = [result[0] for result in resultsMonoview]
- classifiersConfigs = [result[2] for result in resultsMonoview]
+ accuracies = [result[1] for result in resultsMonoview[viewIndex]]
+ classifiersNames = [result[0] for result in resultsMonoview[viewIndex]]
+ classifiersConfigs = [result[2] for result in resultsMonoview[viewIndex]]
bestClassifiers.append(classifiersNames[np.argmax(np.array(accuracies))])
bestClassifiersConfigs.append(classifiersConfigs[np.argmax(np.array(accuracies))])
# bestClassifiers = ["DecisionTree", "DecisionTree", "DecisionTree", "DecisionTree"]
# bestClassifiersConfigs = [["1"],["1"],["1"],["1"]]
-
-if benchmark["Multiview"]:
- if benchmark["Multiview"]["Mumbo"]:
- for classifier in benchmark["Multiview"]["Mumbo"]:
- arguments = {"CL_type": "Mumbo",
- "views": args.views.split(":"),
- "NB_VIEW": len(args.views.split(":")),
- "NB_CLASS": len(args.CL_classes.split(":")),
- "LABELS_NAMES": args.CL_classes.split(":"),
- "MumboKWARGS": {"classifiersNames": ["DecisionTree", "DecisionTree", "DecisionTree",
- "DecisionTree"],
- "maxIter":int(args.MU_iter[0]), "minIter":int(args.MU_iter[1]),
- "threshold":args.MU_iter[2]}}
- argumentDictionaries["Multiview"].append(arguments)
- if benchmark["Multiview"]["Fusion"]:
- if benchmark["Multiview"]["Fusion"]["Methods"]["LateFusion"] and benchmark["Multiview"]["Fusion"]["Classifiers"]:
- for method in benchmark["Multiview"]["Fusion"]["Methods"]["LateFusion"]:
- arguments = {"CL_type": "Fusion",
- "views": args.views.split(":"),
- "NB_VIEW": len(args.views.split(":")),
- "NB_CLASS": len(args.CL_classes.split(":")),
- "LABELS_NAMES": args.CL_classes.split(":"),
- "FusionKWARGS": {"fusionType":"LateFusion", "fusionMethod":method,
- "classifiersNames": bestClassifiers,
- "classifiersConfigs": bestClassifiersConfigs,
- 'fusionMethodConfig': fusionMethodConfig}}
- argumentDictionaries["Multiview"].append(arguments)
- if benchmark["Multiview"]["Fusion"]["Methods"]["EarlyFusion"] and benchmark["Multiview"]["Fusion"]["Classifiers"]:
- for method in benchmark["Multiview"]["Fusion"]["Methods"]["EarlyFusion"]:
- for classifier in benchmark["Multiview"]["Fusion"]["Classifiers"]:
- arguments = {"CL_type": "Fusion",
- "views": args.views.split(":"),
- "NB_VIEW": len(args.views.split(":")),
- "NB_CLASS": len(args.CL_classes.split(":")),
- "LABELS_NAMES": args.CL_classes.split(":"),
- "FusionKWARGS": {"fusionType":"EarlyFusion", "fusionMethod":method,
- "classifiersNames": classifier,
- "classifiersConfigs": fusionClassifierConfig,
- 'fusionMethodConfig': fusionMethodConfig}}
- argumentDictionaries["Multiview"].append(arguments)
-
-resultsMultiview = Parallel(n_jobs=nbCores)(
- delayed(ExecMultiview)(DATASET, args.name, args.CL_split, args.CL_nbFolds, 1, args.type, args.pathF,
- LABELS_DICTIONARY, gridSearch=True, **arguments)
- for arguments in argumentDictionaries["Multiview"])
-
+#
+# if benchmark["Multiview"]:
+# if benchmark["Multiview"]["Mumbo"]:
+# for classifier in benchmark["Multiview"]["Mumbo"]:
+# arguments = {"CL_type": "Mumbo",
+# "views": args.views.split(":"),
+# "NB_VIEW": len(args.views.split(":")),
+# "NB_CLASS": len(args.CL_classes.split(":")),
+# "LABELS_NAMES": args.CL_classes.split(":"),
+# "MumboKWARGS": {"classifiersNames": ["DecisionTree", "DecisionTree", "DecisionTree",
+# "DecisionTree"],
+# "maxIter":int(args.MU_iter[0]), "minIter":int(args.MU_iter[1]),
+# "threshold":args.MU_iter[2]}}
+# argumentDictionaries["Multiview"].append(arguments)
+# if benchmark["Multiview"]["Fusion"]:
+# if benchmark["Multiview"]["Fusion"]["Methods"]["LateFusion"] and benchmark["Multiview"]["Fusion"]["Classifiers"]:
+# for method in benchmark["Multiview"]["Fusion"]["Methods"]["LateFusion"]:
+# arguments = {"CL_type": "Fusion",
+# "views": args.views.split(":"),
+# "NB_VIEW": len(args.views.split(":")),
+# "NB_CLASS": len(args.CL_classes.split(":")),
+# "LABELS_NAMES": args.CL_classes.split(":"),
+# "FusionKWARGS": {"fusionType":"LateFusion", "fusionMethod":method,
+# "classifiersNames": bestClassifiers,
+# "classifiersConfigs": bestClassifiersConfigs,
+# 'fusionMethodConfig': fusionMethodConfig}}
+# argumentDictionaries["Multiview"].append(arguments)
+# if benchmark["Multiview"]["Fusion"]["Methods"]["EarlyFusion"] and benchmark["Multiview"]["Fusion"]["Classifiers"]:
+# for method in benchmark["Multiview"]["Fusion"]["Methods"]["EarlyFusion"]:
+# for classifier in benchmark["Multiview"]["Fusion"]["Classifiers"]:
+# arguments = {"CL_type": "Fusion",
+# "views": args.views.split(":"),
+# "NB_VIEW": len(args.views.split(":")),
+# "NB_CLASS": len(args.CL_classes.split(":")),
+# "LABELS_NAMES": args.CL_classes.split(":"),
+# "FusionKWARGS": {"fusionType":"EarlyFusion", "fusionMethod":method,
+# "classifiersNames": classifier,
+# "classifiersConfigs": fusionClassifierConfig,
+# 'fusionMethodConfig': fusionMethodConfig}}
+# argumentDictionaries["Multiview"].append(arguments)
+
+# resultsMultiview = Parallel(n_jobs=nbCores)(
+# delayed(ExecMultiview)(DATASET, args.name, args.CL_split, args.CL_nbFolds, 1, args.type, args.pathF,
+# LABELS_DICTIONARY, gridSearch=True, **arguments)
+# for arguments in argumentDictionaries["Multiview"])
+resultsMultiview = []
+results = (resultsMonoview, resultsMultiview)
resultAnalysis(benchmark, results)
print len(argumentDictionaries["Multiview"]), len(argumentDictionaries["Monoview"])
diff --git a/Code/MonoMutliViewClassifiers/Monoview/ExecClassifMonoView.py b/Code/MonoMutliViewClassifiers/Monoview/ExecClassifMonoView.py
index 55d4e86f..dda9e5d7 100644
--- a/Code/MonoMutliViewClassifiers/Monoview/ExecClassifMonoView.py
+++ b/Code/MonoMutliViewClassifiers/Monoview/ExecClassifMonoView.py
@@ -31,14 +31,16 @@ __date__ = 2016-03-25
def ExecMonoview(X, Y, name, learningRate, nbFolds, nbCores, databaseType, path, gridSearch=True, **kwargs):
+
t_start = time.time()
directory = os.path.dirname(os.path.abspath(__file__)) + "/Results-ClassMonoView/"
- feat = kwargs["feat"]
+ feat = X.attrs["name"]
fileFeat = kwargs["fileFeat"]
fileCL = kwargs["fileCL"]
fileCLD = kwargs["fileCLD"]
CL_type = kwargs["CL_type"]
classifierKWARGS = kwargs[CL_type+"KWARGS"]
+ X = X.value
# Determine the Database to extract features
logging.debug("### Main Programm for Classification MonoView")
@@ -93,6 +95,7 @@ def ExecMonoview(X, Y, name, learningRate, nbFolds, nbCores, databaseType, path,
accuracy_score = ExportResults.accuracy_score(y_test, y_test_pred)
logging.info("Accuracy :" +str(accuracy_score))
+ return [CL_type, accuracy_score, cl_desc, feat]
# # Classification Report with Precision, Recall, F1 , Support
# logging.debug("Info:\t Classification report:")
# filename = datetime.datetime.now().strftime("%Y_%m_%d") + "-CMV-" + name + "-" + feat + "-Report"
diff --git a/Code/MonoMutliViewClassifiers/Multiview/ExecMultiview.py b/Code/MonoMutliViewClassifiers/Multiview/ExecMultiview.py
index cffd6f01..09268a89 100644
--- a/Code/MonoMutliViewClassifiers/Multiview/ExecMultiview.py
+++ b/Code/MonoMutliViewClassifiers/Multiview/ExecMultiview.py
@@ -112,7 +112,7 @@ def ExecMultiview(DATASET, name, learningRate, nbFolds, nbCores, databaseType, p
times = (extractionTime, kFoldLearningTime, kFoldPredictionTime, classificationTime)
- stringAnalysis, imagesAnalysis = analysisModule.execute(kFoldClassifier, kFoldPredictedTrainLabels,
+ stringAnalysis, imagesAnalysis, train, test, val = analysisModule.execute(kFoldClassifier, kFoldPredictedTrainLabels,
kFoldPredictedTestLabels, kFoldPredictedValidationLabels,
DATASET, initKWARGS, learningRate, LABELS_DICTIONARY,
views, nbCores, times, kFolds, name, nbFolds,
@@ -141,6 +141,7 @@ def ExecMultiview(DATASET, name, learningRate, nbFolds, nbCores, databaseType, p
imagesAnalysis[imageName].savefig(outputFileName + imageName + '.png')
logging.info("Done:\t Result Analysis")
+ return CL_type, classificationKWARGS, train, test, val
if __name__=='__main__':
diff --git a/Code/MonoMutliViewClassifiers/Multiview/Fusion/analyzeResults.py b/Code/MonoMutliViewClassifiers/Multiview/Fusion/analyzeResults.py
index 6f319500..2dabc62c 100644
--- a/Code/MonoMutliViewClassifiers/Multiview/Fusion/analyzeResults.py
+++ b/Code/MonoMutliViewClassifiers/Multiview/Fusion/analyzeResults.py
@@ -121,4 +121,4 @@ def execute(kFoldClassifier, kFoldPredictedTrainLabels, kFoldPredictedTestLabels
# name, image = plotAccuracyByIter(predictedTrainLabelsByIter, predictedTestLabelsByIter, trainLabels, testLabels, NB_ITER)
# imagesAnalysis[name] = image
- return stringAnalysis, imagesAnalysis
+ return stringAnalysis, imagesAnalysis, totalAccuracyOnTrain, totalAccuracyOnTest, totalAccuracyOnValidation
diff --git a/Code/MonoMutliViewClassifiers/Multiview/GetMultiviewDb.py b/Code/MonoMutliViewClassifiers/Multiview/GetMultiviewDb.py
index b839496f..c7d4a6c1 100644
--- a/Code/MonoMutliViewClassifiers/Multiview/GetMultiviewDb.py
+++ b/Code/MonoMutliViewClassifiers/Multiview/GetMultiviewDb.py
@@ -392,7 +392,7 @@ def getModifiedMultiOmicDBcsv(features, path, name, NB_CLASS, LABELS_NAMES):
labelsDset.attrs["name"] = "Labels"
metaDataGrp = datasetFile.create_group("Metadata")
- metaDataGrp.attrs["nbView"] = 4
+ metaDataGrp.attrs["nbView"] = 5
metaDataGrp.attrs["nbClass"] = 2
metaDataGrp.attrs["datasetLength"] = len(labels)
labelDictionary = {0:"No", 1:"Yes"}
@@ -408,12 +408,41 @@ def getModifiedMultiOmicDBcsv(features, path, name, NB_CLASS, LABELS_NAMES):
mrnaseqDset.attrs["name"] = "MRNASeq"
logging.debug("Done:\t Getting Modified RNASeq Data")
+ datasetFile = h5py.File(path+"ModifiedMultiOmic.hdf5", "r")
+ logging.debug("Start:\t Getting Binary RNASeq Data")
+ binarizedRNASeqDset = datasetFile.create_dataset("View5", shape=(len(labels), len(rnaseqData)*(len(rnaseqData)-1)/2), dtype=bool)
+ for exampleIndex in range(len(labels)):
+ offseti=0
+ rnaseqData = datasetFile["View2"][exampleIndex]
+ for i, idata in enumerate(rnaseqData):
+ for j, jdata in enumerate(rnaseqData):
+ if i < j:
+ binarizedRNASeqDset[offseti+j] = idata > jdata
+ offseti += len(rnaseqData)-i-1
+ binarizedRNASeqDset.attrs["name"] = "BRNASeq"
+ i=0
+ for featureIndex in range(len(rnaseqData)*(len(rnaseqData)-1)/2):
+ if allSame(binarizedRNASeqDset[:, featureIndex]):
+ i+=1
+ print i
+ logging.debug("Done:\t Getting Binary RNASeq Data")
+
+
datasetFile.close()
datasetFile = h5py.File(path+"ModifiedMultiOmic.hdf5", "r")
return datasetFile, labelDictionary
+def allSame(array):
+ value = array[0]
+ areAllSame = True
+ for i in array:
+ if i != value:
+ areAllSame = False
+ return areAllSame
+
+
def getModifiedMultiOmicDBhdf5(features, path, name, NB_CLASS, LABELS_NAMES):
datasetFile = h5py.File(path+"ModifiedMultiOmic.hdf5", "r")
labelDictionary = {0:"No", 1:"Yes"}
diff --git a/Code/MonoMutliViewClassifiers/Multiview/Mumbo/analyzeResults.py b/Code/MonoMutliViewClassifiers/Multiview/Mumbo/analyzeResults.py
index ebca5333..6afefd12 100644
--- a/Code/MonoMutliViewClassifiers/Multiview/Mumbo/analyzeResults.py
+++ b/Code/MonoMutliViewClassifiers/Multiview/Mumbo/analyzeResults.py
@@ -80,7 +80,10 @@ def execute(kFoldClassifier, kFoldPredictedTrainLabels, kFoldPredictedTestLabels
DATASET, initKWARGS, LEARNING_RATE, LABELS_DICTIONARY, views, NB_CORES, times, kFolds, databaseName,
nbFolds, validationIndices):
CLASS_LABELS = DATASET.get("labels")[...]
- NB_ITER, classifierNames, classifierConfigs = initKWARGS.values()
+ MumboKWARGS = {"classifiersConfigs":mumboClassifierConfig,
+ "classifiersNames":mumboclassifierNames, "maxIter":int(args.MU_iter[0]),
+ "minIter":int(args.MU_iter[1]), "threshold":args.MU_iter[2]}
+ classifierConfigs, classifierNames, maxIter, minIter, threshold = initKWARGS.values()
nbView = DATASET.get("Metadata").attrs["nbView"]
viewNames = [DATASET.get("View"+str(viewIndex)).attrs["name"] for viewIndex in range(nbView)]
@@ -161,11 +164,11 @@ def execute(kFoldClassifier, kFoldPredictedTrainLabels, kFoldPredictedTestLabels
nbFolds) + \
" folds\n\t- Validation set length : "+str(len(validationIndices))+" for learning rate : "+\
str(LEARNING_RATE)+\
- "\n\nClassification configuration : \n\t-Algorithm used : Mumbo \n\t-Iterations : " + \
- str(NB_ITER) + "\n\t-Weak Classifiers : " + "\n\t\t-".join(
+ "\n\nClassification configuration : \n\t-Algorithm used : Mumbo \n\t-Iterations : min " + \
+ str(minIter)+ ", max "+ str(maxIter)+", threshold "+ str(threshold)+ + "\n\t-Weak Classifiers : " + "\n\t\t-".join(
classifierAnalysis) + "\n\n Mean average accuracies and stats for each fold : "
for foldIdx in range(nbFolds):
- stringAnalysis += "\n\t- Fold "+str(foldIdx)
+ stringAnalysis += "\n\t- Fold "+str(foldIdx)+", used "+str(kFoldClassifier.iterIndex + 1)
for viewIndex, (meanAverageAccuracy, bestViewStat) in enumerate(zip(kFoldMeanAverageAccuracies[foldIdx], kFoldBestViewsStats[foldIdx])):
stringAnalysis+="\n\t\t- On "+viewNames[viewIndex]+\
" : \n\t\t\t- Mean average Accuracy : "+str(meanAverageAccuracy)+\
@@ -204,4 +207,4 @@ def execute(kFoldClassifier, kFoldPredictedTrainLabels, kFoldPredictedTestLabels
bestViews, views, classifierAnalysis, viewNames)
imagesAnalysis = {name: image}
- return stringAnalysis, imagesAnalysis
+ return stringAnalysis, imagesAnalysis, totalAccuracyOnTrain, totalAccuracyOnTest, totalAccuracyOnValidation
diff --git a/Code/MonoMutliViewClassifiers/Multiview/Results/20160825-120401-CMultiV-Fusion-Methyl_MiRNA_RNASEQ_Clinical-ModifiedMultiOmic-LOG.log b/Code/MonoMutliViewClassifiers/Multiview/Results/20160825-120401-CMultiV-Fusion-Methyl_MiRNA_RNASEQ_Clinical-ModifiedMultiOmic-LOG.log
new file mode 100644
index 00000000..e62dae8b
--- /dev/null
+++ b/Code/MonoMutliViewClassifiers/Multiview/Results/20160825-120401-CMultiV-Fusion-Methyl_MiRNA_RNASEQ_Clinical-ModifiedMultiOmic-LOG.log
@@ -0,0 +1,19 @@
+2016-08-25 12:04:01,154 INFO: Start: Read HDF5 Database Files for ModifiedMultiOmic
+2016-08-25 12:04:01,160 INFO: Info: Labels used: No, Yes
+2016-08-25 12:04:01,160 INFO: Info: Length of dataset:347
+2016-08-25 12:04:01,171 INFO: ### Main Programm for Multiview Classification
+2016-08-25 12:04:01,172 INFO: ### Classification - Database : ModifiedMultiOmic ; Views : Methyl, MiRNA, RNASEQ, Clinical ; Algorithm : Fusion ; Cores : 4
+2016-08-25 12:04:01,172 INFO: Info: Shape of Methyl_ :(347, 25978)
+2016-08-25 12:04:01,172 INFO: Info: Shape of MiRNA__ :(347, 1046)
+2016-08-25 12:04:01,173 INFO: Info: Shape of RANSeq_ :(347, 73599)
+2016-08-25 12:04:01,173 INFO: Info: Shape of Clinic_ :(347, 127)
+2016-08-25 12:04:01,173 INFO: Done: Read Database Files
+2016-08-25 12:04:01,175 INFO: Start: Determine validation split for ratio 0.7
+2016-08-25 12:04:01,180 INFO: Done: Determine validation split
+2016-08-25 12:04:01,181 INFO: Start: Determine 5 folds
+2016-08-25 12:04:01,190 INFO: Info: Length of Learning Sets: 196
+2016-08-25 12:04:01,192 INFO: Info: Length of Testing Sets: 48
+2016-08-25 12:04:01,194 INFO: Info: Length of Validation Set: 103
+2016-08-25 12:04:01,195 INFO: Done: Determine folds
+2016-08-25 12:04:01,197 INFO: Start: Learning with Fusion and 5 folds
+2016-08-25 12:04:01,199 INFO: Start: Fold number 1
diff --git a/Code/MonoMutliViewClassifiers/Multiview/Results/20160825-120506-CMultiV-Fusion-Methyl_MiRNA_RNASEQ_Clinical-ModifiedMultiOmic-LOG.log b/Code/MonoMutliViewClassifiers/Multiview/Results/20160825-120506-CMultiV-Fusion-Methyl_MiRNA_RNASEQ_Clinical-ModifiedMultiOmic-LOG.log
new file mode 100644
index 00000000..5b90600e
--- /dev/null
+++ b/Code/MonoMutliViewClassifiers/Multiview/Results/20160825-120506-CMultiV-Fusion-Methyl_MiRNA_RNASEQ_Clinical-ModifiedMultiOmic-LOG.log
@@ -0,0 +1,19 @@
+2016-08-25 12:05:06,726 INFO: Start: Read HDF5 Database Files for ModifiedMultiOmic
+2016-08-25 12:05:06,732 INFO: Info: Labels used: No, Yes
+2016-08-25 12:05:06,738 INFO: Info: Length of dataset:347
+2016-08-25 12:05:06,745 INFO: ### Main Programm for Multiview Classification
+2016-08-25 12:05:06,748 INFO: ### Classification - Database : ModifiedMultiOmic ; Views : Methyl, MiRNA, RNASEQ, Clinical ; Algorithm : Fusion ; Cores : 4
+2016-08-25 12:05:06,750 INFO: Info: Shape of Methyl_ :(347, 25978)
+2016-08-25 12:05:06,753 INFO: Info: Shape of MiRNA__ :(347, 1046)
+2016-08-25 12:05:06,755 INFO: Info: Shape of RANSeq_ :(347, 73599)
+2016-08-25 12:05:06,758 INFO: Info: Shape of Clinic_ :(347, 127)
+2016-08-25 12:05:06,760 INFO: Done: Read Database Files
+2016-08-25 12:05:06,762 INFO: Start: Determine validation split for ratio 0.7
+2016-08-25 12:05:06,767 INFO: Done: Determine validation split
+2016-08-25 12:05:06,769 INFO: Start: Determine 5 folds
+2016-08-25 12:05:06,779 INFO: Info: Length of Learning Sets: 196
+2016-08-25 12:05:06,781 INFO: Info: Length of Testing Sets: 48
+2016-08-25 12:05:06,783 INFO: Info: Length of Validation Set: 103
+2016-08-25 12:05:06,785 INFO: Done: Determine folds
+2016-08-25 12:05:06,787 INFO: Start: Learning with Fusion and 5 folds
+2016-08-25 12:05:06,789 INFO: Start: Fold number 1
diff --git a/Code/MonoMutliViewClassifiers/Multiview/Results/20160825-120526-CMultiV-Fusion-Methyl_MiRNA_RNASEQ_Clinical-ModifiedMultiOmic-LOG.log b/Code/MonoMutliViewClassifiers/Multiview/Results/20160825-120526-CMultiV-Fusion-Methyl_MiRNA_RNASEQ_Clinical-ModifiedMultiOmic-LOG.log
new file mode 100644
index 00000000..756bfd0c
--- /dev/null
+++ b/Code/MonoMutliViewClassifiers/Multiview/Results/20160825-120526-CMultiV-Fusion-Methyl_MiRNA_RNASEQ_Clinical-ModifiedMultiOmic-LOG.log
@@ -0,0 +1,30 @@
+2016-08-25 12:05:26,273 INFO: Start: Read CSV Database Files for ModifiedMultiOmic
+2016-08-25 12:05:26,331 DEBUG: Start: Getting Methylation Data
+2016-08-25 12:05:39,490 DEBUG: Done: Getting Methylation Data
+2016-08-25 12:05:39,495 DEBUG: Start: Getting MiRNA Data
+2016-08-25 12:05:40,023 DEBUG: Done: Getting MiRNA Data
+2016-08-25 12:05:40,025 DEBUG: Start: Getting RNASeq Data
+2016-08-25 12:06:36,383 DEBUG: Done: Getting RNASeq Data
+2016-08-25 12:06:36,527 DEBUG: Start: Getting Clinical Data
+2016-08-25 12:06:37,052 DEBUG: Done: Getting Clinical Data
+2016-08-25 12:06:37,247 DEBUG: Start: Getting Modified RNASeq Data
+2016-08-25 12:07:27,431 DEBUG: Done: Getting Modified RNASeq Data
+2016-08-25 12:07:27,433 DEBUG: Done: Getting Binary RNASeq Data
+2016-08-25 12:07:29,769 INFO: Info: Labels used: No, Yes
+2016-08-25 12:07:29,789 INFO: Info: Length of dataset:347
+2016-08-25 12:07:29,819 INFO: ### Main Programm for Multiview Classification
+2016-08-25 12:07:29,821 INFO: ### Classification - Database : ModifiedMultiOmic ; Views : Methyl, MiRNA, RNASEQ, Clinical ; Algorithm : Fusion ; Cores : 4
+2016-08-25 12:07:29,823 INFO: Info: Shape of Methyl_ :(347, 25978)
+2016-08-25 12:07:29,825 INFO: Info: Shape of MiRNA__ :(347, 1046)
+2016-08-25 12:07:29,827 INFO: Info: Shape of RNASeq_ :(347, 73599)
+2016-08-25 12:07:29,830 INFO: Info: Shape of Clinic_ :(347, 127)
+2016-08-25 12:07:29,832 INFO: Done: Read Database Files
+2016-08-25 12:07:29,833 INFO: Start: Determine validation split for ratio 0.7
+2016-08-25 12:07:29,890 INFO: Done: Determine validation split
+2016-08-25 12:07:29,892 INFO: Start: Determine 5 folds
+2016-08-25 12:07:29,900 INFO: Info: Length of Learning Sets: 196
+2016-08-25 12:07:29,902 INFO: Info: Length of Testing Sets: 48
+2016-08-25 12:07:29,903 INFO: Info: Length of Validation Set: 103
+2016-08-25 12:07:29,905 INFO: Done: Determine folds
+2016-08-25 12:07:29,907 INFO: Start: Learning with Fusion and 5 folds
+2016-08-25 12:07:29,908 INFO: Start: Fold number 1
diff --git a/Code/MonoMutliViewClassifiers/Multiview/run.py b/Code/MonoMutliViewClassifiers/Multiview/run.py
index 7a3b56c1..9d67bc8b 100644
--- a/Code/MonoMutliViewClassifiers/Multiview/run.py
+++ b/Code/MonoMutliViewClassifiers/Multiview/run.py
@@ -1,6 +1,6 @@
# coding=utf-8
import os
-os.system('python ExecMultiview.py -log --name ModifiedMultiOmic --type .hdf5 --views Methyl:MiRNA:RNASEQ:Clinical --pathF /home/bbauvin/Documents/Data/Data_multi_omics/ --CL_split 0.7 --CL_nbFolds 5 --CL_nb_class 2 --CL_classes Positive:Negative --CL_type Fusion --CL_cores 4 --FU_type EarlyFusion --FU_method WeightedLinear')
+os.system('python ExecMultiview.py -log --name ModifiedMultiOmic --type .csv --views Methyl:MiRNA:RNASEQ:Clinical --pathF /home/bbauvin/Documents/Data/Data_multi_omics/ --CL_split 0.7 --CL_nbFolds 5 --CL_nb_class 2 --CL_classes Positive:Negative --CL_type Fusion --CL_cores 4 --FU_type EarlyFusion --FU_method WeightedLinear')
# /donnees/pj_bdd_bbauvin/Data_multi_omics/
#
# /home/bbauvin/Documents/Data/Data_multi_omics/
diff --git a/Code/MonoMutliViewClassifiers/ResultAnalysis.py b/Code/MonoMutliViewClassifiers/ResultAnalysis.py
index d21d43ce..1145fad9 100644
--- a/Code/MonoMutliViewClassifiers/ResultAnalysis.py
+++ b/Code/MonoMutliViewClassifiers/ResultAnalysis.py
@@ -1,2 +1,33 @@
+import matplotlib.pyplot as plt
+import time
+import pylab
+
def resultAnalysis(benchmark, results):
- pass
\ No newline at end of file
+ mono, multi = results
+ names = [type_+feat for [type_, b, c, feat] in mono]+[type_ if type_ != "Fusion" else type_+a["FusionType"]+a["FusionMethod"] for type_, a, b, c, d in multi]
+ nbResults = len(mono)+len(multi)
+ accuracies = [float(accuracy)*100 for [a, accuracy, c, d] in mono]+[float(accuracy)*100 for a, b, c, d, accuracy in multi]
+ f = pylab.figure()
+ ax = f.add_axes([0.1, 0.1, 0.8, 0.8])
+ ax.set_title("Accuracies on validation set for each classifier")
+ ax.bar(range(nbResults), accuracies, align='center')
+ ax.set_xticks(range(nbResults))
+ ax.set_xticklabels(names, rotation="vertical")
+ try:
+ fig = plt.gcf()
+ fig.subplots_adjust(bottom=0.8)
+ except:
+ pass
+ # plt.bar(range(nbResults), accuracies, 1)
+ # plt.xlabel('ClassLabels')
+ # plt.ylabel('Precision in %')
+ # plt.title('Results of benchmark-Classification')
+ # plt.axis([0, nbResults, 0, 100])
+ # plt.xticks(range(nbResults), rotation="vertical")
+
+ # Makes sure that the file does not yet exist
+ f.savefig("Results/poulet"+time.strftime("%Y%m%d-%H%M%S")+".png")
+
+ #plt.close()
+
+
diff --git a/Code/MonoMutliViewClassifiers/Results/20160824-171252-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-MultiOmic-LOG.log b/Code/MonoMutliViewClassifiers/Results/20160824-171252-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-MultiOmic-LOG.log
index f3d65d39..bc28e9bc 100644
--- a/Code/MonoMutliViewClassifiers/Results/20160824-171252-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-MultiOmic-LOG.log
+++ b/Code/MonoMutliViewClassifiers/Results/20160824-171252-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-MultiOmic-LOG.log
@@ -1524,3 +1524,3219 @@ avg / total 0.43 0.66 0.52 35
2016-08-24 17:30:04,041 DEBUG: View 2 : 0.310344827586
2016-08-24 17:30:04,050 DEBUG: View 3 : 0.477011494253
2016-08-24 17:30:04,310 DEBUG: Best view : MiRNA_
+2016-08-24 17:30:09,405 DEBUG: Start: Iteration 74
+2016-08-24 17:30:09,423 DEBUG: View 0 : 0.603448275862
+2016-08-24 17:30:09,432 DEBUG: View 1 : 0.385057471264
+2016-08-24 17:30:09,471 DEBUG: View 2 : 0.620689655172
+2016-08-24 17:30:09,479 DEBUG: View 3 : 0.298850574713
+2016-08-24 17:30:09,742 DEBUG: Best view : Methyl
+2016-08-24 17:30:14,797 DEBUG: Start: Iteration 75
+2016-08-24 17:30:14,816 DEBUG: View 0 : 0.545977011494
+2016-08-24 17:30:14,825 DEBUG: View 1 : 0.672413793103
+2016-08-24 17:30:14,864 DEBUG: View 2 : 0.471264367816
+2016-08-24 17:30:14,873 DEBUG: View 3 : 0.373563218391
+2016-08-24 17:30:15,154 DEBUG: Best view : MiRNA_
+2016-08-24 17:30:20,250 DEBUG: Start: Iteration 76
+2016-08-24 17:30:20,268 DEBUG: View 0 : 0.666666666667
+2016-08-24 17:30:20,277 DEBUG: View 1 : 0.64367816092
+2016-08-24 17:30:20,317 DEBUG: View 2 : 0.591954022989
+2016-08-24 17:30:20,326 DEBUG: View 3 : 0.402298850575
+2016-08-24 17:30:20,594 DEBUG: Best view : Methyl
+2016-08-24 17:30:25,824 DEBUG: Start: Iteration 77
+2016-08-24 17:30:25,843 DEBUG: View 0 : 0.695402298851
+2016-08-24 17:30:25,852 DEBUG: View 1 : 0.528735632184
+2016-08-24 17:30:25,891 DEBUG: View 2 : 0.390804597701
+2016-08-24 17:30:25,900 DEBUG: View 3 : 0.362068965517
+2016-08-24 17:30:26,170 DEBUG: Best view : Methyl
+2016-08-24 17:30:31,410 DEBUG: Start: Iteration 78
+2016-08-24 17:30:31,429 DEBUG: View 0 : 0.488505747126
+2016-08-24 17:30:31,438 DEBUG: View 1 : 0.534482758621
+2016-08-24 17:30:31,477 DEBUG: View 2 : 0.551724137931
+2016-08-24 17:30:31,486 DEBUG: View 3 : 0.390804597701
+2016-08-24 17:30:31,763 DEBUG: Best view : MiRNA_
+2016-08-24 17:30:37,027 DEBUG: Start: Iteration 79
+2016-08-24 17:30:37,045 DEBUG: View 0 : 0.396551724138
+2016-08-24 17:30:37,054 DEBUG: View 1 : 0.609195402299
+2016-08-24 17:30:37,094 DEBUG: View 2 : 0.511494252874
+2016-08-24 17:30:37,102 DEBUG: View 3 : 0.448275862069
+2016-08-24 17:30:37,377 DEBUG: Best view : MiRNA_
+2016-08-24 17:30:42,709 DEBUG: Start: Iteration 80
+2016-08-24 17:30:42,728 DEBUG: View 0 : 0.729885057471
+2016-08-24 17:30:42,737 DEBUG: View 1 : 0.64367816092
+2016-08-24 17:30:42,776 DEBUG: View 2 : 0.379310344828
+2016-08-24 17:30:42,785 DEBUG: View 3 : 0.597701149425
+2016-08-24 17:30:43,061 DEBUG: Best view : Methyl
+2016-08-24 17:30:48,512 DEBUG: Start: Iteration 81
+2016-08-24 17:30:48,531 DEBUG: View 0 : 0.459770114943
+2016-08-24 17:30:48,540 DEBUG: View 1 : 0.528735632184
+2016-08-24 17:30:48,580 DEBUG: View 2 : 0.689655172414
+2016-08-24 17:30:48,589 DEBUG: View 3 : 0.448275862069
+2016-08-24 17:30:48,875 DEBUG: Best view : RANSeq
+2016-08-24 17:30:54,436 DEBUG: Start: Iteration 82
+2016-08-24 17:30:54,454 DEBUG: View 0 : 0.494252873563
+2016-08-24 17:30:54,463 DEBUG: View 1 : 0.574712643678
+2016-08-24 17:30:54,502 DEBUG: View 2 : 0.413793103448
+2016-08-24 17:30:54,511 DEBUG: View 3 : 0.5
+2016-08-24 17:30:54,794 DEBUG: Best view : MiRNA_
+2016-08-24 17:31:00,344 DEBUG: Start: Iteration 83
+2016-08-24 17:31:00,363 DEBUG: View 0 : 0.637931034483
+2016-08-24 17:31:00,372 DEBUG: View 1 : 0.620689655172
+2016-08-24 17:31:00,412 DEBUG: View 2 : 0.655172413793
+2016-08-24 17:31:00,421 DEBUG: View 3 : 0.603448275862
+2016-08-24 17:31:00,708 DEBUG: Best view : RANSeq
+2016-08-24 17:31:06,329 DEBUG: Start: Iteration 84
+2016-08-24 17:31:06,347 DEBUG: View 0 : 0.557471264368
+2016-08-24 17:31:06,356 DEBUG: View 1 : 0.735632183908
+2016-08-24 17:31:06,395 DEBUG: View 2 : 0.586206896552
+2016-08-24 17:31:06,404 DEBUG: View 3 : 0.477011494253
+2016-08-24 17:31:06,694 DEBUG: Best view : MiRNA_
+2016-08-24 17:31:12,402 DEBUG: Start: Iteration 85
+2016-08-24 17:31:12,421 DEBUG: View 0 : 0.586206896552
+2016-08-24 17:31:12,430 DEBUG: View 1 : 0.327586206897
+2016-08-24 17:31:12,479 DEBUG: View 2 : 0.379310344828
+2016-08-24 17:31:12,488 DEBUG: View 3 : 0.586206896552
+2016-08-24 17:31:12,780 DEBUG: Best view : Methyl
+2016-08-24 17:31:18,552 DEBUG: Start: Iteration 86
+2016-08-24 17:31:18,570 DEBUG: View 0 : 0.603448275862
+2016-08-24 17:31:18,579 DEBUG: View 1 : 0.695402298851
+2016-08-24 17:31:18,622 DEBUG: View 2 : 0.362068965517
+2016-08-24 17:31:18,631 DEBUG: View 3 : 0.64367816092
+2016-08-24 17:31:18,925 DEBUG: Best view : MiRNA_
+2016-08-24 17:31:24,807 DEBUG: Start: Iteration 87
+2016-08-24 17:31:24,825 DEBUG: View 0 : 0.316091954023
+2016-08-24 17:31:24,834 DEBUG: View 1 : 0.701149425287
+2016-08-24 17:31:24,890 DEBUG: View 2 : 0.637931034483
+2016-08-24 17:31:24,899 DEBUG: View 3 : 0.522988505747
+2016-08-24 17:31:25,197 DEBUG: Best view : MiRNA_
+2016-08-24 17:31:31,454 DEBUG: Start: Iteration 88
+2016-08-24 17:31:31,473 DEBUG: View 0 : 0.522988505747
+2016-08-24 17:31:31,484 DEBUG: View 1 : 0.373563218391
+2016-08-24 17:31:31,543 DEBUG: View 2 : 0.614942528736
+2016-08-24 17:31:31,553 DEBUG: View 3 : 0.408045977011
+2016-08-24 17:31:31,879 DEBUG: Best view : RANSeq
+2016-08-24 17:31:38,242 DEBUG: Start: Iteration 89
+2016-08-24 17:31:38,261 DEBUG: View 0 : 0.304597701149
+2016-08-24 17:31:38,270 DEBUG: View 1 : 0.316091954023
+2016-08-24 17:31:38,325 DEBUG: View 2 : 0.67816091954
+2016-08-24 17:31:38,335 DEBUG: View 3 : 0.522988505747
+2016-08-24 17:31:38,644 DEBUG: Best view : RANSeq
+2016-08-24 17:31:44,797 DEBUG: Start: Iteration 90
+2016-08-24 17:31:44,815 DEBUG: View 0 : 0.586206896552
+2016-08-24 17:31:44,824 DEBUG: View 1 : 0.666666666667
+2016-08-24 17:31:44,868 DEBUG: View 2 : 0.626436781609
+2016-08-24 17:31:44,877 DEBUG: View 3 : 0.540229885057
+2016-08-24 17:31:45,184 DEBUG: Best view : MiRNA_
+2016-08-24 17:31:51,360 DEBUG: Start: Iteration 91
+2016-08-24 17:31:51,378 DEBUG: View 0 : 0.48275862069
+2016-08-24 17:31:51,387 DEBUG: View 1 : 0.689655172414
+2016-08-24 17:31:51,436 DEBUG: View 2 : 0.367816091954
+2016-08-24 17:31:51,445 DEBUG: View 3 : 0.67816091954
+2016-08-24 17:31:51,759 DEBUG: Best view : MiRNA_
+2016-08-24 17:31:57,972 DEBUG: Start: Iteration 92
+2016-08-24 17:31:57,990 DEBUG: View 0 : 0.614942528736
+2016-08-24 17:31:57,999 DEBUG: View 1 : 0.494252873563
+2016-08-24 17:31:58,039 DEBUG: View 2 : 0.609195402299
+2016-08-24 17:31:58,048 DEBUG: View 3 : 0.48275862069
+2016-08-24 17:31:58,360 DEBUG: Best view : Methyl
+2016-08-24 17:32:04,641 DEBUG: Start: Iteration 93
+2016-08-24 17:32:04,659 DEBUG: View 0 : 0.471264367816
+2016-08-24 17:32:04,668 DEBUG: View 1 : 0.683908045977
+2016-08-24 17:32:04,709 DEBUG: View 2 : 0.350574712644
+2016-08-24 17:32:04,718 DEBUG: View 3 : 0.689655172414
+2016-08-24 17:32:05,035 DEBUG: Best view : MiRNA_
+2016-08-24 17:32:11,392 DEBUG: Start: Iteration 94
+2016-08-24 17:32:11,410 DEBUG: View 0 : 0.442528735632
+2016-08-24 17:32:11,419 DEBUG: View 1 : 0.431034482759
+2016-08-24 17:32:11,464 DEBUG: View 2 : 0.494252873563
+2016-08-24 17:32:11,477 DEBUG: View 3 : 0.408045977011
+2016-08-24 17:32:11,477 WARNING: WARNING: All bad for iteration 93
+2016-08-24 17:32:11,795 DEBUG: Best view : RANSeq
+2016-08-24 17:32:18,239 DEBUG: Start: Iteration 95
+2016-08-24 17:32:18,257 DEBUG: View 0 : 0.689655172414
+2016-08-24 17:32:18,267 DEBUG: View 1 : 0.683908045977
+2016-08-24 17:32:18,306 DEBUG: View 2 : 0.35632183908
+2016-08-24 17:32:18,315 DEBUG: View 3 : 0.655172413793
+2016-08-24 17:32:18,634 DEBUG: Best view : Methyl
+2016-08-24 17:32:25,201 DEBUG: Start: Iteration 96
+2016-08-24 17:32:25,220 DEBUG: View 0 : 0.712643678161
+2016-08-24 17:32:25,229 DEBUG: View 1 : 0.551724137931
+2016-08-24 17:32:25,274 DEBUG: View 2 : 0.51724137931
+2016-08-24 17:32:25,283 DEBUG: View 3 : 0.672413793103
+2016-08-24 17:32:25,622 DEBUG: Best view : Methyl
+2016-08-24 17:32:32,355 DEBUG: Start: Iteration 97
+2016-08-24 17:32:32,376 DEBUG: View 0 : 0.540229885057
+2016-08-24 17:32:32,387 DEBUG: View 1 : 0.701149425287
+2016-08-24 17:32:32,446 DEBUG: View 2 : 0.344827586207
+2016-08-24 17:32:32,455 DEBUG: View 3 : 0.586206896552
+2016-08-24 17:32:32,802 DEBUG: Best view : MiRNA_
+2016-08-24 17:32:39,463 DEBUG: Start: Iteration 98
+2016-08-24 17:32:39,481 DEBUG: View 0 : 0.701149425287
+2016-08-24 17:32:39,490 DEBUG: View 1 : 0.51724137931
+2016-08-24 17:32:39,529 DEBUG: View 2 : 0.442528735632
+2016-08-24 17:32:39,538 DEBUG: View 3 : 0.373563218391
+2016-08-24 17:32:39,871 DEBUG: Best view : Methyl
+2016-08-24 17:32:46,650 DEBUG: Start: Iteration 99
+2016-08-24 17:32:46,668 DEBUG: View 0 : 0.729885057471
+2016-08-24 17:32:46,677 DEBUG: View 1 : 0.350574712644
+2016-08-24 17:32:46,721 DEBUG: View 2 : 0.396551724138
+2016-08-24 17:32:46,730 DEBUG: View 3 : 0.620689655172
+2016-08-24 17:32:47,072 DEBUG: Best view : Methyl
+2016-08-24 17:32:53,846 DEBUG: Start: Iteration 100
+2016-08-24 17:32:53,865 DEBUG: View 0 : 0.408045977011
+2016-08-24 17:32:53,875 DEBUG: View 1 : 0.505747126437
+2016-08-24 17:32:53,920 DEBUG: View 2 : 0.419540229885
+2016-08-24 17:32:53,929 DEBUG: View 3 : 0.597701149425
+2016-08-24 17:32:54,268 DEBUG: Best view : Clinic
+2016-08-24 17:33:01,107 DEBUG: Start: Iteration 101
+2016-08-24 17:33:01,126 DEBUG: View 0 : 0.689655172414
+2016-08-24 17:33:01,135 DEBUG: View 1 : 0.64367816092
+2016-08-24 17:33:01,183 DEBUG: View 2 : 0.551724137931
+2016-08-24 17:33:01,193 DEBUG: View 3 : 0.402298850575
+2016-08-24 17:33:01,535 DEBUG: Best view : Methyl
+2016-08-24 17:33:08,420 DEBUG: Start: Iteration 102
+2016-08-24 17:33:08,439 DEBUG: View 0 : 0.540229885057
+2016-08-24 17:33:08,448 DEBUG: View 1 : 0.408045977011
+2016-08-24 17:33:08,495 DEBUG: View 2 : 0.402298850575
+2016-08-24 17:33:08,505 DEBUG: View 3 : 0.534482758621
+2016-08-24 17:33:08,847 DEBUG: Best view : Methyl
+2016-08-24 17:33:15,795 DEBUG: Start: Iteration 103
+2016-08-24 17:33:15,813 DEBUG: View 0 : 0.706896551724
+2016-08-24 17:33:15,823 DEBUG: View 1 : 0.764367816092
+2016-08-24 17:33:15,873 DEBUG: View 2 : 0.350574712644
+2016-08-24 17:33:15,883 DEBUG: View 3 : 0.304597701149
+2016-08-24 17:33:16,223 DEBUG: Best view : MiRNA_
+2016-08-24 17:33:23,242 DEBUG: Start: Iteration 104
+2016-08-24 17:33:23,261 DEBUG: View 0 : 0.591954022989
+2016-08-24 17:33:23,270 DEBUG: View 1 : 0.712643678161
+2016-08-24 17:33:23,321 DEBUG: View 2 : 0.48275862069
+2016-08-24 17:33:23,331 DEBUG: View 3 : 0.655172413793
+2016-08-24 17:33:23,678 DEBUG: Best view : MiRNA_
+2016-08-24 17:33:30,753 DEBUG: Start: Iteration 105
+2016-08-24 17:33:30,772 DEBUG: View 0 : 0.609195402299
+2016-08-24 17:33:30,781 DEBUG: View 1 : 0.419540229885
+2016-08-24 17:33:30,831 DEBUG: View 2 : 0.362068965517
+2016-08-24 17:33:30,842 DEBUG: View 3 : 0.488505747126
+2016-08-24 17:33:31,190 DEBUG: Best view : Methyl
+2016-08-24 17:33:38,341 DEBUG: Start: Iteration 106
+2016-08-24 17:33:38,360 DEBUG: View 0 : 0.390804597701
+2016-08-24 17:33:38,369 DEBUG: View 1 : 0.706896551724
+2016-08-24 17:33:38,422 DEBUG: View 2 : 0.591954022989
+2016-08-24 17:33:38,435 DEBUG: View 3 : 0.626436781609
+2016-08-24 17:33:38,788 DEBUG: Best view : MiRNA_
+2016-08-24 17:33:46,024 DEBUG: Start: Iteration 107
+2016-08-24 17:33:46,042 DEBUG: View 0 : 0.67816091954
+2016-08-24 17:33:46,051 DEBUG: View 1 : 0.770114942529
+2016-08-24 17:33:46,115 DEBUG: View 2 : 0.511494252874
+2016-08-24 17:33:46,125 DEBUG: View 3 : 0.373563218391
+2016-08-24 17:33:46,480 DEBUG: Best view : MiRNA_
+2016-08-24 17:33:53,765 DEBUG: Start: Iteration 108
+2016-08-24 17:33:53,784 DEBUG: View 0 : 0.419540229885
+2016-08-24 17:33:53,793 DEBUG: View 1 : 0.448275862069
+2016-08-24 17:33:53,849 DEBUG: View 2 : 0.327586206897
+2016-08-24 17:33:53,860 DEBUG: View 3 : 0.683908045977
+2016-08-24 17:33:54,217 DEBUG: Best view : Clinic
+2016-08-24 17:34:01,574 DEBUG: Start: Iteration 109
+2016-08-24 17:34:01,593 DEBUG: View 0 : 0.626436781609
+2016-08-24 17:34:01,602 DEBUG: View 1 : 0.448275862069
+2016-08-24 17:34:01,658 DEBUG: View 2 : 0.477011494253
+2016-08-24 17:34:01,671 DEBUG: View 3 : 0.64367816092
+2016-08-24 17:34:02,040 DEBUG: Best view : Methyl
+2016-08-24 17:34:09,486 DEBUG: Start: Iteration 110
+2016-08-24 17:34:09,504 DEBUG: View 0 : 0.603448275862
+2016-08-24 17:34:09,513 DEBUG: View 1 : 0.666666666667
+2016-08-24 17:34:09,565 DEBUG: View 2 : 0.454022988506
+2016-08-24 17:34:09,576 DEBUG: View 3 : 0.5
+2016-08-24 17:34:09,940 DEBUG: Best view : MiRNA_
+2016-08-24 17:34:17,450 DEBUG: Start: Iteration 111
+2016-08-24 17:34:17,469 DEBUG: View 0 : 0.620689655172
+2016-08-24 17:34:17,478 DEBUG: View 1 : 0.390804597701
+2016-08-24 17:34:17,531 DEBUG: View 2 : 0.522988505747
+2016-08-24 17:34:17,543 DEBUG: View 3 : 0.373563218391
+2016-08-24 17:34:17,912 DEBUG: Best view : Methyl
+2016-08-24 17:34:25,472 DEBUG: Start: Iteration 112
+2016-08-24 17:34:25,490 DEBUG: View 0 : 0.655172413793
+2016-08-24 17:34:25,499 DEBUG: View 1 : 0.563218390805
+2016-08-24 17:34:25,550 DEBUG: View 2 : 0.310344827586
+2016-08-24 17:34:25,561 DEBUG: View 3 : 0.344827586207
+2016-08-24 17:34:25,929 DEBUG: Best view : Methyl
+2016-08-24 17:34:33,559 DEBUG: Start: Iteration 113
+2016-08-24 17:34:33,577 DEBUG: View 0 : 0.454022988506
+2016-08-24 17:34:33,586 DEBUG: View 1 : 0.32183908046
+2016-08-24 17:34:33,637 DEBUG: View 2 : 0.563218390805
+2016-08-24 17:34:33,648 DEBUG: View 3 : 0.534482758621
+2016-08-24 17:34:34,019 DEBUG: Best view : RANSeq
+2016-08-24 17:34:41,727 DEBUG: Start: Iteration 114
+2016-08-24 17:34:41,745 DEBUG: View 0 : 0.448275862069
+2016-08-24 17:34:41,755 DEBUG: View 1 : 0.655172413793
+2016-08-24 17:34:41,809 DEBUG: View 2 : 0.471264367816
+2016-08-24 17:34:41,822 DEBUG: View 3 : 0.431034482759
+2016-08-24 17:34:42,198 DEBUG: Best view : MiRNA_
+2016-08-24 17:34:49,951 DEBUG: Start: Iteration 115
+2016-08-24 17:34:49,969 DEBUG: View 0 : 0.35632183908
+2016-08-24 17:34:49,978 DEBUG: View 1 : 0.442528735632
+2016-08-24 17:34:50,035 DEBUG: View 2 : 0.649425287356
+2016-08-24 17:34:50,046 DEBUG: View 3 : 0.413793103448
+2016-08-24 17:34:50,427 DEBUG: Best view : RANSeq
+2016-08-24 17:34:58,324 DEBUG: Start: Iteration 116
+2016-08-24 17:34:58,343 DEBUG: View 0 : 0.614942528736
+2016-08-24 17:34:58,354 DEBUG: View 1 : 0.471264367816
+2016-08-24 17:34:58,411 DEBUG: View 2 : 0.540229885057
+2016-08-24 17:34:58,422 DEBUG: View 3 : 0.408045977011
+2016-08-24 17:34:58,799 DEBUG: Best view : Methyl
+2016-08-24 17:35:06,729 DEBUG: Start: Iteration 117
+2016-08-24 17:35:06,748 DEBUG: View 0 : 0.695402298851
+2016-08-24 17:35:06,760 DEBUG: View 1 : 0.735632183908
+2016-08-24 17:35:06,812 DEBUG: View 2 : 0.402298850575
+2016-08-24 17:35:06,823 DEBUG: View 3 : 0.597701149425
+2016-08-24 17:35:07,206 DEBUG: Best view : MiRNA_
+2016-08-24 17:35:15,169 DEBUG: Start: Iteration 118
+2016-08-24 17:35:15,188 DEBUG: View 0 : 0.379310344828
+2016-08-24 17:35:15,197 DEBUG: View 1 : 0.528735632184
+2016-08-24 17:35:15,250 DEBUG: View 2 : 0.563218390805
+2016-08-24 17:35:15,262 DEBUG: View 3 : 0.413793103448
+2016-08-24 17:35:15,650 DEBUG: Best view : RANSeq
+2016-08-24 17:35:23,686 DEBUG: Start: Iteration 119
+2016-08-24 17:35:23,704 DEBUG: View 0 : 0.465517241379
+2016-08-24 17:35:23,713 DEBUG: View 1 : 0.425287356322
+2016-08-24 17:35:23,769 DEBUG: View 2 : 0.488505747126
+2016-08-24 17:35:23,782 DEBUG: View 3 : 0.574712643678
+2016-08-24 17:35:24,170 DEBUG: Best view : Clinic
+2016-08-24 17:35:32,271 DEBUG: Start: Iteration 120
+2016-08-24 17:35:32,289 DEBUG: View 0 : 0.35632183908
+2016-08-24 17:35:32,298 DEBUG: View 1 : 0.33908045977
+2016-08-24 17:35:32,349 DEBUG: View 2 : 0.649425287356
+2016-08-24 17:35:32,360 DEBUG: View 3 : 0.557471264368
+2016-08-24 17:35:32,756 DEBUG: Best view : RANSeq
+2016-08-24 17:35:40,934 DEBUG: Start: Iteration 121
+2016-08-24 17:35:40,953 DEBUG: View 0 : 0.706896551724
+2016-08-24 17:35:40,962 DEBUG: View 1 : 0.655172413793
+2016-08-24 17:35:41,011 DEBUG: View 2 : 0.563218390805
+2016-08-24 17:35:41,021 DEBUG: View 3 : 0.586206896552
+2016-08-24 17:35:41,417 DEBUG: Best view : Methyl
+2016-08-24 17:35:49,690 DEBUG: Start: Iteration 122
+2016-08-24 17:35:49,709 DEBUG: View 0 : 0.35632183908
+2016-08-24 17:35:49,718 DEBUG: View 1 : 0.545977011494
+2016-08-24 17:35:49,769 DEBUG: View 2 : 0.655172413793
+2016-08-24 17:35:49,780 DEBUG: View 3 : 0.563218390805
+2016-08-24 17:35:50,176 DEBUG: Best view : RANSeq
+2016-08-24 17:35:58,503 DEBUG: Start: Iteration 123
+2016-08-24 17:35:58,522 DEBUG: View 0 : 0.683908045977
+2016-08-24 17:35:58,531 DEBUG: View 1 : 0.614942528736
+2016-08-24 17:35:58,583 DEBUG: View 2 : 0.534482758621
+2016-08-24 17:35:58,593 DEBUG: View 3 : 0.609195402299
+2016-08-24 17:35:58,990 DEBUG: Best view : Methyl
+2016-08-24 17:36:07,392 DEBUG: Start: Iteration 124
+2016-08-24 17:36:07,411 DEBUG: View 0 : 0.270114942529
+2016-08-24 17:36:07,420 DEBUG: View 1 : 0.373563218391
+2016-08-24 17:36:07,471 DEBUG: View 2 : 0.488505747126
+2016-08-24 17:36:07,482 DEBUG: View 3 : 0.327586206897
+2016-08-24 17:36:07,482 WARNING: WARNING: All bad for iteration 123
+2016-08-24 17:36:07,884 DEBUG: Best view : RANSeq
+2016-08-24 17:36:16,345 DEBUG: Start: Iteration 125
+2016-08-24 17:36:16,363 DEBUG: View 0 : 0.385057471264
+2016-08-24 17:36:16,373 DEBUG: View 1 : 0.459770114943
+2016-08-24 17:36:16,443 DEBUG: View 2 : 0.689655172414
+2016-08-24 17:36:16,454 DEBUG: View 3 : 0.333333333333
+2016-08-24 17:36:16,861 DEBUG: Best view : RANSeq
+2016-08-24 17:36:25,407 DEBUG: Start: Iteration 126
+2016-08-24 17:36:25,426 DEBUG: View 0 : 0.465517241379
+2016-08-24 17:36:25,435 DEBUG: View 1 : 0.534482758621
+2016-08-24 17:36:25,488 DEBUG: View 2 : 0.304597701149
+2016-08-24 17:36:25,499 DEBUG: View 3 : 0.5
+2016-08-24 17:36:25,906 DEBUG: Best view : MiRNA_
+2016-08-24 17:36:34,500 DEBUG: Start: Iteration 127
+2016-08-24 17:36:34,519 DEBUG: View 0 : 0.419540229885
+2016-08-24 17:36:34,528 DEBUG: View 1 : 0.304597701149
+2016-08-24 17:36:34,580 DEBUG: View 2 : 0.367816091954
+2016-08-24 17:36:34,591 DEBUG: View 3 : 0.718390804598
+2016-08-24 17:36:35,003 DEBUG: Best view : Clinic
+2016-08-24 17:36:43,667 DEBUG: Start: Iteration 128
+2016-08-24 17:36:43,685 DEBUG: View 0 : 0.413793103448
+2016-08-24 17:36:43,694 DEBUG: View 1 : 0.724137931034
+2016-08-24 17:36:43,741 DEBUG: View 2 : 0.425287356322
+2016-08-24 17:36:43,752 DEBUG: View 3 : 0.67816091954
+2016-08-24 17:36:44,165 DEBUG: Best view : MiRNA_
+2016-08-24 17:36:52,890 DEBUG: Start: Iteration 129
+2016-08-24 17:36:52,908 DEBUG: View 0 : 0.51724137931
+2016-08-24 17:36:52,917 DEBUG: View 1 : 0.471264367816
+2016-08-24 17:36:52,978 DEBUG: View 2 : 0.350574712644
+2016-08-24 17:36:52,987 DEBUG: View 3 : 0.333333333333
+2016-08-24 17:36:53,407 DEBUG: Best view : Methyl
+2016-08-24 17:37:02,224 DEBUG: Start: Iteration 130
+2016-08-24 17:37:02,242 DEBUG: View 0 : 0.505747126437
+2016-08-24 17:37:02,251 DEBUG: View 1 : 0.287356321839
+2016-08-24 17:37:02,297 DEBUG: View 2 : 0.620689655172
+2016-08-24 17:37:02,306 DEBUG: View 3 : 0.637931034483
+2016-08-24 17:37:02,730 DEBUG: Best view : Clinic
+2016-08-24 17:37:11,612 DEBUG: Start: Iteration 131
+2016-08-24 17:37:11,630 DEBUG: View 0 : 0.620689655172
+2016-08-24 17:37:11,639 DEBUG: View 1 : 0.316091954023
+2016-08-24 17:37:11,683 DEBUG: View 2 : 0.649425287356
+2016-08-24 17:37:11,692 DEBUG: View 3 : 0.591954022989
+2016-08-24 17:37:12,119 DEBUG: Best view : RANSeq
+2016-08-24 17:37:21,055 DEBUG: Start: Iteration 132
+2016-08-24 17:37:21,073 DEBUG: View 0 : 0.591954022989
+2016-08-24 17:37:21,082 DEBUG: View 1 : 0.528735632184
+2016-08-24 17:37:21,122 DEBUG: View 2 : 0.597701149425
+2016-08-24 17:37:21,131 DEBUG: View 3 : 0.413793103448
+2016-08-24 17:37:21,559 DEBUG: Best view : Methyl
+2016-08-24 17:37:30,584 DEBUG: Start: Iteration 133
+2016-08-24 17:37:30,603 DEBUG: View 0 : 0.316091954023
+2016-08-24 17:37:30,612 DEBUG: View 1 : 0.448275862069
+2016-08-24 17:37:30,655 DEBUG: View 2 : 0.534482758621
+2016-08-24 17:37:30,664 DEBUG: View 3 : 0.413793103448
+2016-08-24 17:37:31,092 DEBUG: Best view : RANSeq
+2016-08-24 17:37:40,229 DEBUG: Start: Iteration 134
+2016-08-24 17:37:40,247 DEBUG: View 0 : 0.540229885057
+2016-08-24 17:37:40,256 DEBUG: View 1 : 0.350574712644
+2016-08-24 17:37:40,298 DEBUG: View 2 : 0.695402298851
+2016-08-24 17:37:40,307 DEBUG: View 3 : 0.327586206897
+2016-08-24 17:37:40,738 DEBUG: Best view : RANSeq
+2016-08-24 17:37:49,915 DEBUG: Start: Iteration 135
+2016-08-24 17:37:49,933 DEBUG: View 0 : 0.683908045977
+2016-08-24 17:37:49,942 DEBUG: View 1 : 0.718390804598
+2016-08-24 17:37:49,990 DEBUG: View 2 : 0.528735632184
+2016-08-24 17:37:49,999 DEBUG: View 3 : 0.448275862069
+2016-08-24 17:37:50,435 DEBUG: Best view : MiRNA_
+2016-08-24 17:37:59,660 DEBUG: Start: Iteration 136
+2016-08-24 17:37:59,678 DEBUG: View 0 : 0.390804597701
+2016-08-24 17:37:59,687 DEBUG: View 1 : 0.666666666667
+2016-08-24 17:37:59,729 DEBUG: View 2 : 0.477011494253
+2016-08-24 17:37:59,737 DEBUG: View 3 : 0.33908045977
+2016-08-24 17:38:00,178 DEBUG: Best view : MiRNA_
+2016-08-24 17:38:09,483 DEBUG: Start: Iteration 137
+2016-08-24 17:38:09,502 DEBUG: View 0 : 0.390804597701
+2016-08-24 17:38:09,511 DEBUG: View 1 : 0.568965517241
+2016-08-24 17:38:09,550 DEBUG: View 2 : 0.350574712644
+2016-08-24 17:38:09,559 DEBUG: View 3 : 0.385057471264
+2016-08-24 17:38:09,998 DEBUG: Best view : MiRNA_
+2016-08-24 17:38:19,360 DEBUG: Start: Iteration 138
+2016-08-24 17:38:19,379 DEBUG: View 0 : 0.563218390805
+2016-08-24 17:38:19,388 DEBUG: View 1 : 0.701149425287
+2016-08-24 17:38:19,429 DEBUG: View 2 : 0.66091954023
+2016-08-24 17:38:19,438 DEBUG: View 3 : 0.66091954023
+2016-08-24 17:38:19,881 DEBUG: Best view : MiRNA_
+2016-08-24 17:38:29,314 DEBUG: Start: Iteration 139
+2016-08-24 17:38:29,333 DEBUG: View 0 : 0.655172413793
+2016-08-24 17:38:29,342 DEBUG: View 1 : 0.718390804598
+2016-08-24 17:38:29,388 DEBUG: View 2 : 0.649425287356
+2016-08-24 17:38:29,398 DEBUG: View 3 : 0.442528735632
+2016-08-24 17:38:29,847 DEBUG: Best view : MiRNA_
+2016-08-24 17:38:39,332 DEBUG: Start: Iteration 140
+2016-08-24 17:38:39,351 DEBUG: View 0 : 0.488505747126
+2016-08-24 17:38:39,360 DEBUG: View 1 : 0.735632183908
+2016-08-24 17:38:39,406 DEBUG: View 2 : 0.459770114943
+2016-08-24 17:38:39,416 DEBUG: View 3 : 0.408045977011
+2016-08-24 17:38:39,870 DEBUG: Best view : MiRNA_
+2016-08-24 17:38:49,444 DEBUG: Start: Iteration 141
+2016-08-24 17:38:49,462 DEBUG: View 0 : 0.396551724138
+2016-08-24 17:38:49,471 DEBUG: View 1 : 0.695402298851
+2016-08-24 17:38:49,521 DEBUG: View 2 : 0.477011494253
+2016-08-24 17:38:49,532 DEBUG: View 3 : 0.425287356322
+2016-08-24 17:38:49,986 DEBUG: Best view : MiRNA_
+2016-08-24 17:38:59,620 DEBUG: Start: Iteration 142
+2016-08-24 17:38:59,638 DEBUG: View 0 : 0.563218390805
+2016-08-24 17:38:59,647 DEBUG: View 1 : 0.419540229885
+2016-08-24 17:38:59,700 DEBUG: View 2 : 0.712643678161
+2016-08-24 17:38:59,710 DEBUG: View 3 : 0.580459770115
+2016-08-24 17:39:00,168 DEBUG: Best view : RANSeq
+2016-08-24 17:39:09,866 DEBUG: Start: Iteration 143
+2016-08-24 17:39:09,885 DEBUG: View 0 : 0.48275862069
+2016-08-24 17:39:09,894 DEBUG: View 1 : 0.672413793103
+2016-08-24 17:39:09,955 DEBUG: View 2 : 0.448275862069
+2016-08-24 17:39:09,964 DEBUG: View 3 : 0.310344827586
+2016-08-24 17:39:10,422 DEBUG: Best view : MiRNA_
+2016-08-24 17:39:20,210 DEBUG: Start: Iteration 144
+2016-08-24 17:39:20,228 DEBUG: View 0 : 0.534482758621
+2016-08-24 17:39:20,237 DEBUG: View 1 : 0.563218390805
+2016-08-24 17:39:20,282 DEBUG: View 2 : 0.419540229885
+2016-08-24 17:39:20,291 DEBUG: View 3 : 0.32183908046
+2016-08-24 17:39:20,754 DEBUG: Best view : MiRNA_
+2016-08-24 17:39:30,590 DEBUG: Start: Iteration 145
+2016-08-24 17:39:30,609 DEBUG: View 0 : 0.557471264368
+2016-08-24 17:39:30,618 DEBUG: View 1 : 0.563218390805
+2016-08-24 17:39:30,663 DEBUG: View 2 : 0.540229885057
+2016-08-24 17:39:30,673 DEBUG: View 3 : 0.522988505747
+2016-08-24 17:39:31,137 DEBUG: Best view : MiRNA_
+2016-08-24 17:39:41,027 DEBUG: Start: Iteration 146
+2016-08-24 17:39:41,046 DEBUG: View 0 : 0.419540229885
+2016-08-24 17:39:41,055 DEBUG: View 1 : 0.597701149425
+2016-08-24 17:39:41,099 DEBUG: View 2 : 0.304597701149
+2016-08-24 17:39:41,109 DEBUG: View 3 : 0.436781609195
+2016-08-24 17:39:41,574 DEBUG: Best view : MiRNA_
+2016-08-24 17:39:51,534 DEBUG: Start: Iteration 147
+2016-08-24 17:39:51,553 DEBUG: View 0 : 0.637931034483
+2016-08-24 17:39:51,562 DEBUG: View 1 : 0.724137931034
+2016-08-24 17:39:51,607 DEBUG: View 2 : 0.465517241379
+2016-08-24 17:39:51,617 DEBUG: View 3 : 0.436781609195
+2016-08-24 17:39:52,085 DEBUG: Best view : MiRNA_
+2016-08-24 17:40:02,097 DEBUG: Start: Iteration 148
+2016-08-24 17:40:02,116 DEBUG: View 0 : 0.626436781609
+2016-08-24 17:40:02,125 DEBUG: View 1 : 0.293103448276
+2016-08-24 17:40:02,174 DEBUG: View 2 : 0.448275862069
+2016-08-24 17:40:02,184 DEBUG: View 3 : 0.620689655172
+2016-08-24 17:40:02,656 DEBUG: Best view : Clinic
+2016-08-24 17:40:12,740 DEBUG: Start: Iteration 149
+2016-08-24 17:40:12,759 DEBUG: View 0 : 0.522988505747
+2016-08-24 17:40:12,768 DEBUG: View 1 : 0.724137931034
+2016-08-24 17:40:12,819 DEBUG: View 2 : 0.568965517241
+2016-08-24 17:40:12,830 DEBUG: View 3 : 0.367816091954
+2016-08-24 17:40:13,309 DEBUG: Best view : MiRNA_
+2016-08-24 17:40:23,488 DEBUG: Start: Iteration 150
+2016-08-24 17:40:23,506 DEBUG: View 0 : 0.488505747126
+2016-08-24 17:40:23,515 DEBUG: View 1 : 0.64367816092
+2016-08-24 17:40:23,567 DEBUG: View 2 : 0.48275862069
+2016-08-24 17:40:23,578 DEBUG: View 3 : 0.442528735632
+2016-08-24 17:40:24,067 DEBUG: Best view : MiRNA_
+2016-08-24 17:40:34,274 DEBUG: Start: Iteration 151
+2016-08-24 17:40:34,292 DEBUG: View 0 : 0.379310344828
+2016-08-24 17:40:34,302 DEBUG: View 1 : 0.281609195402
+2016-08-24 17:40:34,356 DEBUG: View 2 : 0.402298850575
+2016-08-24 17:40:34,369 DEBUG: View 3 : 0.448275862069
+2016-08-24 17:40:34,369 WARNING: WARNING: All bad for iteration 150
+2016-08-24 17:40:34,854 DEBUG: Best view : Clinic
+2016-08-24 17:40:45,101 DEBUG: Start: Iteration 152
+2016-08-24 17:40:45,120 DEBUG: View 0 : 0.419540229885
+2016-08-24 17:40:45,129 DEBUG: View 1 : 0.310344827586
+2016-08-24 17:40:45,183 DEBUG: View 2 : 0.695402298851
+2016-08-24 17:40:45,195 DEBUG: View 3 : 0.591954022989
+2016-08-24 17:40:45,676 DEBUG: Best view : RANSeq
+2016-08-24 17:40:56,055 DEBUG: Start: Iteration 153
+2016-08-24 17:40:56,074 DEBUG: View 0 : 0.609195402299
+2016-08-24 17:40:56,083 DEBUG: View 1 : 0.33908045977
+2016-08-24 17:40:56,137 DEBUG: View 2 : 0.425287356322
+2016-08-24 17:40:56,149 DEBUG: View 3 : 0.32183908046
+2016-08-24 17:40:56,637 DEBUG: Best view : Methyl
+2016-08-24 17:41:07,096 DEBUG: Start: Iteration 154
+2016-08-24 17:41:07,115 DEBUG: View 0 : 0.540229885057
+2016-08-24 17:41:07,124 DEBUG: View 1 : 0.798850574713
+2016-08-24 17:41:07,176 DEBUG: View 2 : 0.396551724138
+2016-08-24 17:41:07,188 DEBUG: View 3 : 0.51724137931
+2016-08-24 17:41:07,678 DEBUG: Best view : MiRNA_
+2016-08-24 17:41:18,152 DEBUG: Start: Iteration 155
+2016-08-24 17:41:18,170 DEBUG: View 0 : 0.344827586207
+2016-08-24 17:41:18,180 DEBUG: View 1 : 0.270114942529
+2016-08-24 17:41:18,234 DEBUG: View 2 : 0.32183908046
+2016-08-24 17:41:18,248 DEBUG: View 3 : 0.632183908046
+2016-08-24 17:41:18,746 DEBUG: Best view : Clinic
+2016-08-24 17:41:29,326 DEBUG: Start: Iteration 156
+2016-08-24 17:41:29,345 DEBUG: View 0 : 0.66091954023
+2016-08-24 17:41:29,354 DEBUG: View 1 : 0.35632183908
+2016-08-24 17:41:29,407 DEBUG: View 2 : 0.597701149425
+2016-08-24 17:41:29,419 DEBUG: View 3 : 0.373563218391
+2016-08-24 17:41:29,912 DEBUG: Best view : Methyl
+2016-08-24 17:41:40,583 DEBUG: Start: Iteration 157
+2016-08-24 17:41:40,601 DEBUG: View 0 : 0.454022988506
+2016-08-24 17:41:40,610 DEBUG: View 1 : 0.287356321839
+2016-08-24 17:41:40,663 DEBUG: View 2 : 0.614942528736
+2016-08-24 17:41:40,674 DEBUG: View 3 : 0.425287356322
+2016-08-24 17:41:41,183 DEBUG: Best view : RANSeq
+2016-08-24 17:41:51,914 DEBUG: Start: Iteration 158
+2016-08-24 17:41:51,933 DEBUG: View 0 : 0.67816091954
+2016-08-24 17:41:51,942 DEBUG: View 1 : 0.379310344828
+2016-08-24 17:41:51,994 DEBUG: View 2 : 0.51724137931
+2016-08-24 17:41:52,005 DEBUG: View 3 : 0.620689655172
+2016-08-24 17:41:52,503 DEBUG: Best view : Methyl
+2016-08-24 17:42:03,257 DEBUG: Start: Iteration 159
+2016-08-24 17:42:03,275 DEBUG: View 0 : 0.574712643678
+2016-08-24 17:42:03,285 DEBUG: View 1 : 0.620689655172
+2016-08-24 17:42:03,336 DEBUG: View 2 : 0.488505747126
+2016-08-24 17:42:03,347 DEBUG: View 3 : 0.655172413793
+2016-08-24 17:42:03,858 DEBUG: Best view : MiRNA_
+2016-08-24 17:42:14,693 DEBUG: Start: Iteration 160
+2016-08-24 17:42:14,711 DEBUG: View 0 : 0.33908045977
+2016-08-24 17:42:14,720 DEBUG: View 1 : 0.614942528736
+2016-08-24 17:42:14,771 DEBUG: View 2 : 0.586206896552
+2016-08-24 17:42:14,782 DEBUG: View 3 : 0.48275862069
+2016-08-24 17:42:15,296 DEBUG: Best view : MiRNA_
+2016-08-24 17:42:26,213 DEBUG: Start: Iteration 161
+2016-08-24 17:42:26,232 DEBUG: View 0 : 0.603448275862
+2016-08-24 17:42:26,241 DEBUG: View 1 : 0.568965517241
+2016-08-24 17:42:26,292 DEBUG: View 2 : 0.344827586207
+2016-08-24 17:42:26,303 DEBUG: View 3 : 0.534482758621
+2016-08-24 17:42:26,812 DEBUG: Best view : Methyl
+2016-08-24 17:42:37,784 DEBUG: Start: Iteration 162
+2016-08-24 17:42:37,803 DEBUG: View 0 : 0.683908045977
+2016-08-24 17:42:37,812 DEBUG: View 1 : 0.494252873563
+2016-08-24 17:42:37,860 DEBUG: View 2 : 0.413793103448
+2016-08-24 17:42:37,870 DEBUG: View 3 : 0.436781609195
+2016-08-24 17:42:38,383 DEBUG: Best view : Methyl
+2016-08-24 17:42:49,411 DEBUG: Start: Iteration 163
+2016-08-24 17:42:49,429 DEBUG: View 0 : 0.609195402299
+2016-08-24 17:42:49,439 DEBUG: View 1 : 0.247126436782
+2016-08-24 17:42:49,485 DEBUG: View 2 : 0.425287356322
+2016-08-24 17:42:49,496 DEBUG: View 3 : 0.48275862069
+2016-08-24 17:42:50,008 DEBUG: Best view : Methyl
+2016-08-24 17:43:01,121 DEBUG: Start: Iteration 164
+2016-08-24 17:43:01,139 DEBUG: View 0 : 0.66091954023
+2016-08-24 17:43:01,148 DEBUG: View 1 : 0.695402298851
+2016-08-24 17:43:01,202 DEBUG: View 2 : 0.683908045977
+2016-08-24 17:43:01,211 DEBUG: View 3 : 0.557471264368
+2016-08-24 17:43:01,730 DEBUG: Best view : Methyl
+2016-08-24 17:43:12,909 DEBUG: Start: Iteration 165
+2016-08-24 17:43:12,927 DEBUG: View 0 : 0.591954022989
+2016-08-24 17:43:12,936 DEBUG: View 1 : 0.741379310345
+2016-08-24 17:43:12,977 DEBUG: View 2 : 0.67816091954
+2016-08-24 17:43:12,986 DEBUG: View 3 : 0.477011494253
+2016-08-24 17:43:13,509 DEBUG: Best view : MiRNA_
+2016-08-24 17:43:24,730 DEBUG: Start: Iteration 166
+2016-08-24 17:43:24,749 DEBUG: View 0 : 0.522988505747
+2016-08-24 17:43:24,758 DEBUG: View 1 : 0.373563218391
+2016-08-24 17:43:24,797 DEBUG: View 2 : 0.367816091954
+2016-08-24 17:43:24,806 DEBUG: View 3 : 0.51724137931
+2016-08-24 17:43:25,332 DEBUG: Best view : Clinic
+2016-08-24 17:43:36,677 DEBUG: Start: Iteration 167
+2016-08-24 17:43:36,695 DEBUG: View 0 : 0.51724137931
+2016-08-24 17:43:36,704 DEBUG: View 1 : 0.64367816092
+2016-08-24 17:43:36,744 DEBUG: View 2 : 0.666666666667
+2016-08-24 17:43:36,753 DEBUG: View 3 : 0.649425287356
+2016-08-24 17:43:37,282 DEBUG: Best view : RANSeq
+2016-08-24 17:43:48,708 DEBUG: Start: Iteration 168
+2016-08-24 17:43:48,726 DEBUG: View 0 : 0.344827586207
+2016-08-24 17:43:48,735 DEBUG: View 1 : 0.563218390805
+2016-08-24 17:43:48,778 DEBUG: View 2 : 0.304597701149
+2016-08-24 17:43:48,787 DEBUG: View 3 : 0.51724137931
+2016-08-24 17:43:49,315 DEBUG: Best view : MiRNA_
+2016-08-24 17:44:00,768 DEBUG: Start: Iteration 169
+2016-08-24 17:44:00,787 DEBUG: View 0 : 0.540229885057
+2016-08-24 17:44:00,796 DEBUG: View 1 : 0.459770114943
+2016-08-24 17:44:00,835 DEBUG: View 2 : 0.35632183908
+2016-08-24 17:44:00,844 DEBUG: View 3 : 0.701149425287
+2016-08-24 17:44:01,381 DEBUG: Best view : Clinic
+2016-08-24 17:44:12,911 DEBUG: Start: Iteration 170
+2016-08-24 17:44:12,930 DEBUG: View 0 : 0.413793103448
+2016-08-24 17:44:12,939 DEBUG: View 1 : 0.505747126437
+2016-08-24 17:44:12,980 DEBUG: View 2 : 0.488505747126
+2016-08-24 17:44:12,988 DEBUG: View 3 : 0.51724137931
+2016-08-24 17:44:13,529 DEBUG: Best view : MiRNA_
+2016-08-24 17:44:25,070 DEBUG: Start: Iteration 171
+2016-08-24 17:44:25,088 DEBUG: View 0 : 0.534482758621
+2016-08-24 17:44:25,098 DEBUG: View 1 : 0.712643678161
+2016-08-24 17:44:25,142 DEBUG: View 2 : 0.568965517241
+2016-08-24 17:44:25,151 DEBUG: View 3 : 0.551724137931
+2016-08-24 17:44:25,694 DEBUG: Best view : MiRNA_
+2016-08-24 17:44:37,291 DEBUG: Start: Iteration 172
+2016-08-24 17:44:37,309 DEBUG: View 0 : 0.448275862069
+2016-08-24 17:44:37,318 DEBUG: View 1 : 0.666666666667
+2016-08-24 17:44:37,363 DEBUG: View 2 : 0.35632183908
+2016-08-24 17:44:37,371 DEBUG: View 3 : 0.586206896552
+2016-08-24 17:44:37,913 DEBUG: Best view : MiRNA_
+2016-08-24 17:44:49,653 DEBUG: Start: Iteration 173
+2016-08-24 17:44:49,672 DEBUG: View 0 : 0.408045977011
+2016-08-24 17:44:49,681 DEBUG: View 1 : 0.310344827586
+2016-08-24 17:44:49,727 DEBUG: View 2 : 0.64367816092
+2016-08-24 17:44:49,736 DEBUG: View 3 : 0.408045977011
+2016-08-24 17:44:50,277 DEBUG: Best view : RANSeq
+2016-08-24 17:45:02,043 DEBUG: Start: Iteration 174
+2016-08-24 17:45:02,061 DEBUG: View 0 : 0.408045977011
+2016-08-24 17:45:02,070 DEBUG: View 1 : 0.281609195402
+2016-08-24 17:45:02,113 DEBUG: View 2 : 0.465517241379
+2016-08-24 17:45:02,122 DEBUG: View 3 : 0.396551724138
+2016-08-24 17:45:02,122 WARNING: WARNING: All bad for iteration 173
+2016-08-24 17:45:02,667 DEBUG: Best view : RANSeq
+2016-08-24 17:45:14,508 DEBUG: Start: Iteration 175
+2016-08-24 17:45:14,526 DEBUG: View 0 : 0.568965517241
+2016-08-24 17:45:14,535 DEBUG: View 1 : 0.655172413793
+2016-08-24 17:45:14,574 DEBUG: View 2 : 0.568965517241
+2016-08-24 17:45:14,583 DEBUG: View 3 : 0.442528735632
+2016-08-24 17:45:15,131 DEBUG: Best view : MiRNA_
+2016-08-24 17:45:27,100 DEBUG: Start: Iteration 176
+2016-08-24 17:45:27,118 DEBUG: View 0 : 0.534482758621
+2016-08-24 17:45:27,127 DEBUG: View 1 : 0.729885057471
+2016-08-24 17:45:27,167 DEBUG: View 2 : 0.327586206897
+2016-08-24 17:45:27,176 DEBUG: View 3 : 0.32183908046
+2016-08-24 17:45:27,742 DEBUG: Best view : MiRNA_
+2016-08-24 17:45:39,709 DEBUG: Start: Iteration 177
+2016-08-24 17:45:39,727 DEBUG: View 0 : 0.373563218391
+2016-08-24 17:45:39,736 DEBUG: View 1 : 0.551724137931
+2016-08-24 17:45:39,778 DEBUG: View 2 : 0.522988505747
+2016-08-24 17:45:39,787 DEBUG: View 3 : 0.522988505747
+2016-08-24 17:45:40,345 DEBUG: Best view : MiRNA_
+2016-08-24 17:45:52,383 DEBUG: Start: Iteration 178
+2016-08-24 17:45:52,401 DEBUG: View 0 : 0.408045977011
+2016-08-24 17:45:52,410 DEBUG: View 1 : 0.459770114943
+2016-08-24 17:45:52,455 DEBUG: View 2 : 0.362068965517
+2016-08-24 17:45:52,464 DEBUG: View 3 : 0.419540229885
+2016-08-24 17:45:52,464 WARNING: WARNING: All bad for iteration 177
+2016-08-24 17:45:53,022 DEBUG: Best view : MiRNA_
+2016-08-24 17:46:05,161 DEBUG: Start: Iteration 179
+2016-08-24 17:46:05,180 DEBUG: View 0 : 0.522988505747
+2016-08-24 17:46:05,189 DEBUG: View 1 : 0.385057471264
+2016-08-24 17:46:05,228 DEBUG: View 2 : 0.494252873563
+2016-08-24 17:46:05,237 DEBUG: View 3 : 0.591954022989
+2016-08-24 17:46:05,801 DEBUG: Best view : Clinic
+2016-08-24 17:46:17,979 DEBUG: Start: Iteration 180
+2016-08-24 17:46:17,998 DEBUG: View 0 : 0.741379310345
+2016-08-24 17:46:18,007 DEBUG: View 1 : 0.706896551724
+2016-08-24 17:46:18,047 DEBUG: View 2 : 0.591954022989
+2016-08-24 17:46:18,056 DEBUG: View 3 : 0.591954022989
+2016-08-24 17:46:18,618 DEBUG: Best view : Methyl
+2016-08-24 17:46:30,868 DEBUG: Start: Iteration 181
+2016-08-24 17:46:30,887 DEBUG: View 0 : 0.574712643678
+2016-08-24 17:46:30,896 DEBUG: View 1 : 0.574712643678
+2016-08-24 17:46:30,936 DEBUG: View 2 : 0.327586206897
+2016-08-24 17:46:30,944 DEBUG: View 3 : 0.385057471264
+2016-08-24 17:46:31,510 DEBUG: Best view : MiRNA_
+2016-08-24 17:46:43,839 DEBUG: Start: Iteration 182
+2016-08-24 17:46:43,857 DEBUG: View 0 : 0.689655172414
+2016-08-24 17:46:43,866 DEBUG: View 1 : 0.689655172414
+2016-08-24 17:46:43,905 DEBUG: View 2 : 0.402298850575
+2016-08-24 17:46:43,914 DEBUG: View 3 : 0.649425287356
+2016-08-24 17:46:44,490 DEBUG: Best view : Methyl
+2016-08-24 17:46:56,912 DEBUG: Start: Iteration 183
+2016-08-24 17:46:56,931 DEBUG: View 0 : 0.333333333333
+2016-08-24 17:46:56,940 DEBUG: View 1 : 0.701149425287
+2016-08-24 17:46:56,979 DEBUG: View 2 : 0.528735632184
+2016-08-24 17:46:56,988 DEBUG: View 3 : 0.591954022989
+2016-08-24 17:46:57,565 DEBUG: Best view : MiRNA_
+2016-08-24 17:47:10,009 DEBUG: Start: Iteration 184
+2016-08-24 17:47:10,028 DEBUG: View 0 : 0.597701149425
+2016-08-24 17:47:10,037 DEBUG: View 1 : 0.252873563218
+2016-08-24 17:47:10,077 DEBUG: View 2 : 0.471264367816
+2016-08-24 17:47:10,086 DEBUG: View 3 : 0.385057471264
+2016-08-24 17:47:10,665 DEBUG: Best view : Methyl
+2016-08-24 17:47:23,195 DEBUG: Start: Iteration 185
+2016-08-24 17:47:23,214 DEBUG: View 0 : 0.396551724138
+2016-08-24 17:47:23,223 DEBUG: View 1 : 0.48275862069
+2016-08-24 17:47:23,263 DEBUG: View 2 : 0.528735632184
+2016-08-24 17:47:23,271 DEBUG: View 3 : 0.557471264368
+2016-08-24 17:47:23,856 DEBUG: Best view : Clinic
+2016-08-24 17:47:36,456 DEBUG: Start: Iteration 186
+2016-08-24 17:47:36,474 DEBUG: View 0 : 0.614942528736
+2016-08-24 17:47:36,483 DEBUG: View 1 : 0.465517241379
+2016-08-24 17:47:36,523 DEBUG: View 2 : 0.609195402299
+2016-08-24 17:47:36,531 DEBUG: View 3 : 0.580459770115
+2016-08-24 17:47:37,116 DEBUG: Best view : Methyl
+2016-08-24 17:47:49,764 DEBUG: Start: Iteration 187
+2016-08-24 17:47:49,782 DEBUG: View 0 : 0.557471264368
+2016-08-24 17:47:49,791 DEBUG: View 1 : 0.419540229885
+2016-08-24 17:47:49,830 DEBUG: View 2 : 0.35632183908
+2016-08-24 17:47:49,839 DEBUG: View 3 : 0.33908045977
+2016-08-24 17:47:50,425 DEBUG: Best view : Methyl
+2016-08-24 17:48:03,148 DEBUG: Start: Iteration 188
+2016-08-24 17:48:03,167 DEBUG: View 0 : 0.563218390805
+2016-08-24 17:48:03,176 DEBUG: View 1 : 0.51724137931
+2016-08-24 17:48:03,215 DEBUG: View 2 : 0.385057471264
+2016-08-24 17:48:03,224 DEBUG: View 3 : 0.528735632184
+2016-08-24 17:48:03,815 DEBUG: Best view : Methyl
+2016-08-24 17:48:16,606 DEBUG: Start: Iteration 189
+2016-08-24 17:48:16,625 DEBUG: View 0 : 0.408045977011
+2016-08-24 17:48:16,634 DEBUG: View 1 : 0.695402298851
+2016-08-24 17:48:16,673 DEBUG: View 2 : 0.344827586207
+2016-08-24 17:48:16,682 DEBUG: View 3 : 0.655172413793
+2016-08-24 17:48:17,270 DEBUG: Best view : MiRNA_
+2016-08-24 17:48:30,116 DEBUG: Start: Iteration 190
+2016-08-24 17:48:30,134 DEBUG: View 0 : 0.568965517241
+2016-08-24 17:48:30,144 DEBUG: View 1 : 0.689655172414
+2016-08-24 17:48:30,183 DEBUG: View 2 : 0.390804597701
+2016-08-24 17:48:30,192 DEBUG: View 3 : 0.413793103448
+2016-08-24 17:48:30,780 DEBUG: Best view : MiRNA_
+2016-08-24 17:48:43,728 DEBUG: Start: Iteration 191
+2016-08-24 17:48:43,747 DEBUG: View 0 : 0.551724137931
+2016-08-24 17:48:43,756 DEBUG: View 1 : 0.402298850575
+2016-08-24 17:48:43,795 DEBUG: View 2 : 0.534482758621
+2016-08-24 17:48:43,804 DEBUG: View 3 : 0.477011494253
+2016-08-24 17:48:44,404 DEBUG: Best view : Methyl
+2016-08-24 17:48:57,389 DEBUG: Start: Iteration 192
+2016-08-24 17:48:57,408 DEBUG: View 0 : 0.557471264368
+2016-08-24 17:48:57,417 DEBUG: View 1 : 0.333333333333
+2016-08-24 17:48:57,457 DEBUG: View 2 : 0.551724137931
+2016-08-24 17:48:57,465 DEBUG: View 3 : 0.350574712644
+2016-08-24 17:48:58,057 DEBUG: Best view : Methyl
+2016-08-24 17:49:11,015 DEBUG: Start: Iteration 193
+2016-08-24 17:49:11,033 DEBUG: View 0 : 0.66091954023
+2016-08-24 17:49:11,042 DEBUG: View 1 : 0.494252873563
+2016-08-24 17:49:11,099 DEBUG: View 2 : 0.293103448276
+2016-08-24 17:49:11,109 DEBUG: View 3 : 0.35632183908
+2016-08-24 17:49:11,704 DEBUG: Best view : Methyl
+2016-08-24 17:49:24,640 DEBUG: Start: Iteration 194
+2016-08-24 17:49:24,659 DEBUG: View 0 : 0.511494252874
+2016-08-24 17:49:24,668 DEBUG: View 1 : 0.568965517241
+2016-08-24 17:49:24,709 DEBUG: View 2 : 0.390804597701
+2016-08-24 17:49:24,718 DEBUG: View 3 : 0.505747126437
+2016-08-24 17:49:25,323 DEBUG: Best view : MiRNA_
+2016-08-24 17:49:38,288 DEBUG: Start: Iteration 195
+2016-08-24 17:49:38,307 DEBUG: View 0 : 0.436781609195
+2016-08-24 17:49:38,315 DEBUG: View 1 : 0.591954022989
+2016-08-24 17:49:38,355 DEBUG: View 2 : 0.580459770115
+2016-08-24 17:49:38,364 DEBUG: View 3 : 0.712643678161
+2016-08-24 17:49:38,968 DEBUG: Best view : Clinic
+2016-08-24 17:49:51,972 DEBUG: Start: Iteration 196
+2016-08-24 17:49:51,991 DEBUG: View 0 : 0.413793103448
+2016-08-24 17:49:52,000 DEBUG: View 1 : 0.632183908046
+2016-08-24 17:49:52,040 DEBUG: View 2 : 0.390804597701
+2016-08-24 17:49:52,048 DEBUG: View 3 : 0.344827586207
+2016-08-24 17:49:52,654 DEBUG: Best view : MiRNA_
+2016-08-24 17:50:05,741 DEBUG: Start: Iteration 197
+2016-08-24 17:50:05,760 DEBUG: View 0 : 0.689655172414
+2016-08-24 17:50:05,769 DEBUG: View 1 : 0.413793103448
+2016-08-24 17:50:05,808 DEBUG: View 2 : 0.591954022989
+2016-08-24 17:50:05,817 DEBUG: View 3 : 0.586206896552
+2016-08-24 17:50:06,422 DEBUG: Best view : Methyl
+2016-08-24 17:50:19,565 DEBUG: Start: Iteration 198
+2016-08-24 17:50:19,583 DEBUG: View 0 : 0.689655172414
+2016-08-24 17:50:19,592 DEBUG: View 1 : 0.390804597701
+2016-08-24 17:50:19,632 DEBUG: View 2 : 0.402298850575
+2016-08-24 17:50:19,641 DEBUG: View 3 : 0.620689655172
+2016-08-24 17:50:20,256 DEBUG: Best view : Methyl
+2016-08-24 17:50:33,466 DEBUG: Start: Iteration 199
+2016-08-24 17:50:33,484 DEBUG: View 0 : 0.419540229885
+2016-08-24 17:50:33,493 DEBUG: View 1 : 0.385057471264
+2016-08-24 17:50:33,534 DEBUG: View 2 : 0.637931034483
+2016-08-24 17:50:33,543 DEBUG: View 3 : 0.396551724138
+2016-08-24 17:50:34,155 DEBUG: Best view : RANSeq
+2016-08-24 17:50:47,425 DEBUG: Start: Iteration 200
+2016-08-24 17:50:47,444 DEBUG: View 0 : 0.33908045977
+2016-08-24 17:50:47,452 DEBUG: View 1 : 0.649425287356
+2016-08-24 17:50:47,492 DEBUG: View 2 : 0.545977011494
+2016-08-24 17:50:47,501 DEBUG: View 3 : 0.316091954023
+2016-08-24 17:50:48,114 DEBUG: Best view : MiRNA_
+2016-08-24 17:51:01,410 DEBUG: Start: Iteration 201
+2016-08-24 17:51:01,428 DEBUG: View 0 : 0.448275862069
+2016-08-24 17:51:01,437 DEBUG: View 1 : 0.649425287356
+2016-08-24 17:51:01,481 DEBUG: View 2 : 0.465517241379
+2016-08-24 17:51:01,490 DEBUG: View 3 : 0.557471264368
+2016-08-24 17:51:02,108 DEBUG: Best view : MiRNA_
+2016-08-24 17:51:15,498 DEBUG: Start: Iteration 202
+2016-08-24 17:51:15,517 DEBUG: View 0 : 0.597701149425
+2016-08-24 17:51:15,526 DEBUG: View 1 : 0.586206896552
+2016-08-24 17:51:15,568 DEBUG: View 2 : 0.48275862069
+2016-08-24 17:51:15,577 DEBUG: View 3 : 0.586206896552
+2016-08-24 17:51:16,199 DEBUG: Best view : Methyl
+2016-08-24 17:51:29,658 DEBUG: Start: Iteration 203
+2016-08-24 17:51:29,677 DEBUG: View 0 : 0.327586206897
+2016-08-24 17:51:29,686 DEBUG: View 1 : 0.706896551724
+2016-08-24 17:51:29,728 DEBUG: View 2 : 0.51724137931
+2016-08-24 17:51:29,737 DEBUG: View 3 : 0.620689655172
+2016-08-24 17:51:30,366 DEBUG: Best view : MiRNA_
+2016-08-24 17:51:43,922 DEBUG: Start: Iteration 204
+2016-08-24 17:51:43,940 DEBUG: View 0 : 0.488505747126
+2016-08-24 17:51:43,949 DEBUG: View 1 : 0.551724137931
+2016-08-24 17:51:43,990 DEBUG: View 2 : 0.408045977011
+2016-08-24 17:51:43,999 DEBUG: View 3 : 0.35632183908
+2016-08-24 17:51:44,624 DEBUG: Best view : MiRNA_
+2016-08-24 17:51:58,199 DEBUG: Start: Iteration 205
+2016-08-24 17:51:58,218 DEBUG: View 0 : 0.344827586207
+2016-08-24 17:51:58,227 DEBUG: View 1 : 0.580459770115
+2016-08-24 17:51:58,269 DEBUG: View 2 : 0.695402298851
+2016-08-24 17:51:58,278 DEBUG: View 3 : 0.695402298851
+2016-08-24 17:51:58,910 DEBUG: Best view : RANSeq
+2016-08-24 17:52:12,568 DEBUG: Start: Iteration 206
+2016-08-24 17:52:12,586 DEBUG: View 0 : 0.350574712644
+2016-08-24 17:52:12,596 DEBUG: View 1 : 0.35632183908
+2016-08-24 17:52:12,637 DEBUG: View 2 : 0.494252873563
+2016-08-24 17:52:12,647 DEBUG: View 3 : 0.672413793103
+2016-08-24 17:52:13,280 DEBUG: Best view : Clinic
+2016-08-24 17:52:27,005 DEBUG: Start: Iteration 207
+2016-08-24 17:52:27,023 DEBUG: View 0 : 0.32183908046
+2016-08-24 17:52:27,032 DEBUG: View 1 : 0.67816091954
+2016-08-24 17:52:27,074 DEBUG: View 2 : 0.373563218391
+2016-08-24 17:52:27,083 DEBUG: View 3 : 0.51724137931
+2016-08-24 17:52:27,723 DEBUG: Best view : MiRNA_
+2016-08-24 17:52:41,535 DEBUG: Start: Iteration 208
+2016-08-24 17:52:41,554 DEBUG: View 0 : 0.425287356322
+2016-08-24 17:52:41,562 DEBUG: View 1 : 0.35632183908
+2016-08-24 17:52:41,605 DEBUG: View 2 : 0.373563218391
+2016-08-24 17:52:41,614 DEBUG: View 3 : 0.373563218391
+2016-08-24 17:52:41,615 WARNING: WARNING: All bad for iteration 207
+2016-08-24 17:52:42,251 DEBUG: Best view : Methyl
+2016-08-24 17:52:56,095 DEBUG: Start: Iteration 209
+2016-08-24 17:52:56,113 DEBUG: View 0 : 0.741379310345
+2016-08-24 17:52:56,123 DEBUG: View 1 : 0.586206896552
+2016-08-24 17:52:56,165 DEBUG: View 2 : 0.316091954023
+2016-08-24 17:52:56,174 DEBUG: View 3 : 0.385057471264
+2016-08-24 17:52:56,811 DEBUG: Best view : Methyl
+2016-08-24 17:53:10,739 DEBUG: Start: Iteration 210
+2016-08-24 17:53:10,757 DEBUG: View 0 : 0.706896551724
+2016-08-24 17:53:10,766 DEBUG: View 1 : 0.528735632184
+2016-08-24 17:53:10,808 DEBUG: View 2 : 0.574712643678
+2016-08-24 17:53:10,817 DEBUG: View 3 : 0.511494252874
+2016-08-24 17:53:11,460 DEBUG: Best view : Methyl
+2016-08-24 17:53:25,435 DEBUG: Start: Iteration 211
+2016-08-24 17:53:25,453 DEBUG: View 0 : 0.465517241379
+2016-08-24 17:53:25,462 DEBUG: View 1 : 0.51724137931
+2016-08-24 17:53:25,504 DEBUG: View 2 : 0.33908045977
+2016-08-24 17:53:25,514 DEBUG: View 3 : 0.488505747126
+2016-08-24 17:53:26,159 DEBUG: Best view : MiRNA_
+2016-08-24 17:53:40,193 DEBUG: Start: Iteration 212
+2016-08-24 17:53:40,211 DEBUG: View 0 : 0.51724137931
+2016-08-24 17:53:40,220 DEBUG: View 1 : 0.408045977011
+2016-08-24 17:53:40,262 DEBUG: View 2 : 0.689655172414
+2016-08-24 17:53:40,272 DEBUG: View 3 : 0.35632183908
+2016-08-24 17:53:40,922 DEBUG: Best view : RANSeq
+2016-08-24 17:53:55,030 DEBUG: Start: Iteration 213
+2016-08-24 17:53:55,049 DEBUG: View 0 : 0.557471264368
+2016-08-24 17:53:55,058 DEBUG: View 1 : 0.425287356322
+2016-08-24 17:53:55,100 DEBUG: View 2 : 0.540229885057
+2016-08-24 17:53:55,109 DEBUG: View 3 : 0.632183908046
+2016-08-24 17:53:55,760 DEBUG: Best view : Clinic
+2016-08-24 17:54:09,952 DEBUG: Start: Iteration 214
+2016-08-24 17:54:09,970 DEBUG: View 0 : 0.448275862069
+2016-08-24 17:54:09,979 DEBUG: View 1 : 0.413793103448
+2016-08-24 17:54:10,024 DEBUG: View 2 : 0.706896551724
+2016-08-24 17:54:10,033 DEBUG: View 3 : 0.448275862069
+2016-08-24 17:54:10,691 DEBUG: Best view : RANSeq
+2016-08-24 17:54:24,954 DEBUG: Start: Iteration 215
+2016-08-24 17:54:24,972 DEBUG: View 0 : 0.528735632184
+2016-08-24 17:54:24,982 DEBUG: View 1 : 0.333333333333
+2016-08-24 17:54:25,024 DEBUG: View 2 : 0.66091954023
+2016-08-24 17:54:25,034 DEBUG: View 3 : 0.586206896552
+2016-08-24 17:54:25,695 DEBUG: Best view : RANSeq
+2016-08-24 17:54:40,013 DEBUG: Start: Iteration 216
+2016-08-24 17:54:40,031 DEBUG: View 0 : 0.5
+2016-08-24 17:54:40,040 DEBUG: View 1 : 0.689655172414
+2016-08-24 17:54:40,083 DEBUG: View 2 : 0.511494252874
+2016-08-24 17:54:40,092 DEBUG: View 3 : 0.379310344828
+2016-08-24 17:54:40,752 DEBUG: Best view : MiRNA_
+2016-08-24 17:54:55,136 DEBUG: Start: Iteration 217
+2016-08-24 17:54:55,154 DEBUG: View 0 : 0.396551724138
+2016-08-24 17:54:55,163 DEBUG: View 1 : 0.545977011494
+2016-08-24 17:54:55,207 DEBUG: View 2 : 0.344827586207
+2016-08-24 17:54:55,216 DEBUG: View 3 : 0.67816091954
+2016-08-24 17:54:55,882 DEBUG: Best view : Clinic
+2016-08-24 17:55:10,416 DEBUG: Start: Iteration 218
+2016-08-24 17:55:10,434 DEBUG: View 0 : 0.431034482759
+2016-08-24 17:55:10,443 DEBUG: View 1 : 0.488505747126
+2016-08-24 17:55:10,486 DEBUG: View 2 : 0.454022988506
+2016-08-24 17:55:10,495 DEBUG: View 3 : 0.574712643678
+2016-08-24 17:55:11,164 DEBUG: Best view : Clinic
+2016-08-24 17:55:25,681 DEBUG: Start: Iteration 219
+2016-08-24 17:55:25,699 DEBUG: View 0 : 0.620689655172
+2016-08-24 17:55:25,708 DEBUG: View 1 : 0.706896551724
+2016-08-24 17:55:25,750 DEBUG: View 2 : 0.32183908046
+2016-08-24 17:55:25,759 DEBUG: View 3 : 0.413793103448
+2016-08-24 17:55:26,427 DEBUG: Best view : MiRNA_
+2016-08-24 17:55:41,025 DEBUG: Start: Iteration 220
+2016-08-24 17:55:41,043 DEBUG: View 0 : 0.33908045977
+2016-08-24 17:55:41,052 DEBUG: View 1 : 0.316091954023
+2016-08-24 17:55:41,094 DEBUG: View 2 : 0.408045977011
+2016-08-24 17:55:41,103 DEBUG: View 3 : 0.683908045977
+2016-08-24 17:55:41,776 DEBUG: Best view : Clinic
+2016-08-24 17:55:56,405 DEBUG: Start: Iteration 221
+2016-08-24 17:55:56,424 DEBUG: View 0 : 0.442528735632
+2016-08-24 17:55:56,433 DEBUG: View 1 : 0.741379310345
+2016-08-24 17:55:56,475 DEBUG: View 2 : 0.632183908046
+2016-08-24 17:55:56,484 DEBUG: View 3 : 0.586206896552
+2016-08-24 17:55:57,165 DEBUG: Best view : MiRNA_
+2016-08-24 17:56:11,886 DEBUG: Start: Iteration 222
+2016-08-24 17:56:11,904 DEBUG: View 0 : 0.511494252874
+2016-08-24 17:56:11,913 DEBUG: View 1 : 0.287356321839
+2016-08-24 17:56:11,955 DEBUG: View 2 : 0.540229885057
+2016-08-24 17:56:11,964 DEBUG: View 3 : 0.568965517241
+2016-08-24 17:56:12,644 DEBUG: Best view : Clinic
+2016-08-24 17:56:27,404 DEBUG: Start: Iteration 223
+2016-08-24 17:56:27,422 DEBUG: View 0 : 0.454022988506
+2016-08-24 17:56:27,431 DEBUG: View 1 : 0.718390804598
+2016-08-24 17:56:27,473 DEBUG: View 2 : 0.390804597701
+2016-08-24 17:56:27,483 DEBUG: View 3 : 0.425287356322
+2016-08-24 17:56:28,165 DEBUG: Best view : MiRNA_
+2016-08-24 17:56:42,969 DEBUG: Start: Iteration 224
+2016-08-24 17:56:42,987 DEBUG: View 0 : 0.390804597701
+2016-08-24 17:56:42,996 DEBUG: View 1 : 0.459770114943
+2016-08-24 17:56:43,039 DEBUG: View 2 : 0.545977011494
+2016-08-24 17:56:43,048 DEBUG: View 3 : 0.419540229885
+2016-08-24 17:56:43,733 DEBUG: Best view : RANSeq
+2016-08-24 17:56:58,634 DEBUG: Start: Iteration 225
+2016-08-24 17:56:58,653 DEBUG: View 0 : 0.67816091954
+2016-08-24 17:56:58,662 DEBUG: View 1 : 0.632183908046
+2016-08-24 17:56:58,704 DEBUG: View 2 : 0.666666666667
+2016-08-24 17:56:58,713 DEBUG: View 3 : 0.511494252874
+2016-08-24 17:56:59,408 DEBUG: Best view : Methyl
+2016-08-24 17:57:14,394 DEBUG: Start: Iteration 226
+2016-08-24 17:57:14,413 DEBUG: View 0 : 0.712643678161
+2016-08-24 17:57:14,422 DEBUG: View 1 : 0.362068965517
+2016-08-24 17:57:14,464 DEBUG: View 2 : 0.362068965517
+2016-08-24 17:57:14,473 DEBUG: View 3 : 0.471264367816
+2016-08-24 17:57:15,164 DEBUG: Best view : Methyl
+2016-08-24 17:57:30,247 DEBUG: Start: Iteration 227
+2016-08-24 17:57:30,265 DEBUG: View 0 : 0.373563218391
+2016-08-24 17:57:30,274 DEBUG: View 1 : 0.534482758621
+2016-08-24 17:57:30,316 DEBUG: View 2 : 0.32183908046
+2016-08-24 17:57:30,325 DEBUG: View 3 : 0.488505747126
+2016-08-24 17:57:31,027 DEBUG: Best view : MiRNA_
+2016-08-24 17:57:46,124 DEBUG: Start: Iteration 228
+2016-08-24 17:57:46,142 DEBUG: View 0 : 0.459770114943
+2016-08-24 17:57:46,151 DEBUG: View 1 : 0.614942528736
+2016-08-24 17:57:46,193 DEBUG: View 2 : 0.614942528736
+2016-08-24 17:57:46,202 DEBUG: View 3 : 0.64367816092
+2016-08-24 17:57:46,898 DEBUG: Best view : Clinic
+2016-08-24 17:58:02,052 DEBUG: Start: Iteration 229
+2016-08-24 17:58:02,071 DEBUG: View 0 : 0.511494252874
+2016-08-24 17:58:02,079 DEBUG: View 1 : 0.379310344828
+2016-08-24 17:58:02,122 DEBUG: View 2 : 0.614942528736
+2016-08-24 17:58:02,131 DEBUG: View 3 : 0.459770114943
+2016-08-24 17:58:02,834 DEBUG: Best view : RANSeq
+2016-08-24 17:58:18,082 DEBUG: Start: Iteration 230
+2016-08-24 17:58:18,100 DEBUG: View 0 : 0.379310344828
+2016-08-24 17:58:18,109 DEBUG: View 1 : 0.350574712644
+2016-08-24 17:58:18,151 DEBUG: View 2 : 0.327586206897
+2016-08-24 17:58:18,160 DEBUG: View 3 : 0.511494252874
+2016-08-24 17:58:18,863 DEBUG: Best view : Clinic
+2016-08-24 17:58:34,173 DEBUG: Start: Iteration 231
+2016-08-24 17:58:34,191 DEBUG: View 0 : 0.425287356322
+2016-08-24 17:58:34,200 DEBUG: View 1 : 0.367816091954
+2016-08-24 17:58:34,242 DEBUG: View 2 : 0.683908045977
+2016-08-24 17:58:34,252 DEBUG: View 3 : 0.505747126437
+2016-08-24 17:58:34,961 DEBUG: Best view : RANSeq
+2016-08-24 17:58:50,336 DEBUG: Start: Iteration 232
+2016-08-24 17:58:50,355 DEBUG: View 0 : 0.701149425287
+2016-08-24 17:58:50,364 DEBUG: View 1 : 0.48275862069
+2016-08-24 17:58:50,406 DEBUG: View 2 : 0.373563218391
+2016-08-24 17:58:50,415 DEBUG: View 3 : 0.655172413793
+2016-08-24 17:58:51,134 DEBUG: Best view : Methyl
+2016-08-24 17:59:06,604 DEBUG: Start: Iteration 233
+2016-08-24 17:59:06,622 DEBUG: View 0 : 0.557471264368
+2016-08-24 17:59:06,631 DEBUG: View 1 : 0.362068965517
+2016-08-24 17:59:06,673 DEBUG: View 2 : 0.557471264368
+2016-08-24 17:59:06,682 DEBUG: View 3 : 0.367816091954
+2016-08-24 17:59:07,391 DEBUG: Best view : Methyl
+2016-08-24 17:59:22,923 DEBUG: Start: Iteration 234
+2016-08-24 17:59:22,941 DEBUG: View 0 : 0.477011494253
+2016-08-24 17:59:22,951 DEBUG: View 1 : 0.448275862069
+2016-08-24 17:59:22,993 DEBUG: View 2 : 0.425287356322
+2016-08-24 17:59:23,002 DEBUG: View 3 : 0.367816091954
+2016-08-24 17:59:23,002 WARNING: WARNING: All bad for iteration 233
+2016-08-24 17:59:23,712 DEBUG: Best view : Methyl
+2016-08-24 17:59:39,354 DEBUG: Start: Iteration 235
+2016-08-24 17:59:39,372 DEBUG: View 0 : 0.350574712644
+2016-08-24 17:59:39,382 DEBUG: View 1 : 0.396551724138
+2016-08-24 17:59:39,423 DEBUG: View 2 : 0.580459770115
+2016-08-24 17:59:39,432 DEBUG: View 3 : 0.373563218391
+2016-08-24 17:59:40,144 DEBUG: Best view : RANSeq
+2016-08-24 17:59:55,805 DEBUG: Start: Iteration 236
+2016-08-24 17:59:55,823 DEBUG: View 0 : 0.557471264368
+2016-08-24 17:59:55,832 DEBUG: View 1 : 0.362068965517
+2016-08-24 17:59:55,874 DEBUG: View 2 : 0.431034482759
+2016-08-24 17:59:55,883 DEBUG: View 3 : 0.706896551724
+2016-08-24 17:59:56,602 DEBUG: Best view : Clinic
+2016-08-24 18:00:12,309 DEBUG: Start: Iteration 237
+2016-08-24 18:00:12,327 DEBUG: View 0 : 0.471264367816
+2016-08-24 18:00:12,336 DEBUG: View 1 : 0.637931034483
+2016-08-24 18:00:12,378 DEBUG: View 2 : 0.402298850575
+2016-08-24 18:00:12,387 DEBUG: View 3 : 0.488505747126
+2016-08-24 18:00:13,109 DEBUG: Best view : MiRNA_
+2016-08-24 18:00:28,899 DEBUG: Start: Iteration 238
+2016-08-24 18:00:28,917 DEBUG: View 0 : 0.66091954023
+2016-08-24 18:00:28,926 DEBUG: View 1 : 0.471264367816
+2016-08-24 18:00:28,968 DEBUG: View 2 : 0.379310344828
+2016-08-24 18:00:28,977 DEBUG: View 3 : 0.33908045977
+2016-08-24 18:00:29,706 DEBUG: Best view : Methyl
+2016-08-24 18:00:45,519 DEBUG: Start: Iteration 239
+2016-08-24 18:00:45,537 DEBUG: View 0 : 0.419540229885
+2016-08-24 18:00:45,547 DEBUG: View 1 : 0.505747126437
+2016-08-24 18:00:45,589 DEBUG: View 2 : 0.379310344828
+2016-08-24 18:00:45,598 DEBUG: View 3 : 0.591954022989
+2016-08-24 18:00:46,320 DEBUG: Best view : Clinic
+2016-08-24 18:01:02,207 DEBUG: Start: Iteration 240
+2016-08-24 18:01:02,225 DEBUG: View 0 : 0.649425287356
+2016-08-24 18:01:02,234 DEBUG: View 1 : 0.706896551724
+2016-08-24 18:01:02,275 DEBUG: View 2 : 0.333333333333
+2016-08-24 18:01:02,284 DEBUG: View 3 : 0.689655172414
+2016-08-24 18:01:03,012 DEBUG: Best view : MiRNA_
+2016-08-24 18:01:19,043 DEBUG: Start: Iteration 241
+2016-08-24 18:01:19,061 DEBUG: View 0 : 0.775862068966
+2016-08-24 18:01:19,071 DEBUG: View 1 : 0.281609195402
+2016-08-24 18:01:19,113 DEBUG: View 2 : 0.344827586207
+2016-08-24 18:01:19,122 DEBUG: View 3 : 0.32183908046
+2016-08-24 18:01:19,858 DEBUG: Best view : Methyl
+2016-08-24 18:01:35,919 DEBUG: Start: Iteration 242
+2016-08-24 18:01:35,937 DEBUG: View 0 : 0.655172413793
+2016-08-24 18:01:35,946 DEBUG: View 1 : 0.327586206897
+2016-08-24 18:01:35,988 DEBUG: View 2 : 0.385057471264
+2016-08-24 18:01:35,998 DEBUG: View 3 : 0.51724137931
+2016-08-24 18:01:36,732 DEBUG: Best view : Methyl
+2016-08-24 18:01:52,827 DEBUG: Start: Iteration 243
+2016-08-24 18:01:52,845 DEBUG: View 0 : 0.459770114943
+2016-08-24 18:01:52,854 DEBUG: View 1 : 0.67816091954
+2016-08-24 18:01:52,896 DEBUG: View 2 : 0.5
+2016-08-24 18:01:52,905 DEBUG: View 3 : 0.459770114943
+2016-08-24 18:01:53,651 DEBUG: Best view : MiRNA_
+2016-08-24 18:02:09,807 DEBUG: Start: Iteration 244
+2016-08-24 18:02:09,825 DEBUG: View 0 : 0.298850574713
+2016-08-24 18:02:09,834 DEBUG: View 1 : 0.551724137931
+2016-08-24 18:02:09,876 DEBUG: View 2 : 0.436781609195
+2016-08-24 18:02:09,885 DEBUG: View 3 : 0.545977011494
+2016-08-24 18:02:10,626 DEBUG: Best view : MiRNA_
+2016-08-24 18:02:26,864 DEBUG: Start: Iteration 245
+2016-08-24 18:02:26,882 DEBUG: View 0 : 0.454022988506
+2016-08-24 18:02:26,891 DEBUG: View 1 : 0.787356321839
+2016-08-24 18:02:26,933 DEBUG: View 2 : 0.603448275862
+2016-08-24 18:02:26,942 DEBUG: View 3 : 0.385057471264
+2016-08-24 18:02:27,687 DEBUG: Best view : MiRNA_
+2016-08-24 18:02:44,017 DEBUG: Start: Iteration 246
+2016-08-24 18:02:44,035 DEBUG: View 0 : 0.333333333333
+2016-08-24 18:02:44,044 DEBUG: View 1 : 0.695402298851
+2016-08-24 18:02:44,087 DEBUG: View 2 : 0.379310344828
+2016-08-24 18:02:44,096 DEBUG: View 3 : 0.396551724138
+2016-08-24 18:02:44,845 DEBUG: Best view : MiRNA_
+2016-08-24 18:03:01,238 DEBUG: Start: Iteration 247
+2016-08-24 18:03:01,256 DEBUG: View 0 : 0.465517241379
+2016-08-24 18:03:01,265 DEBUG: View 1 : 0.752873563218
+2016-08-24 18:03:01,307 DEBUG: View 2 : 0.465517241379
+2016-08-24 18:03:01,316 DEBUG: View 3 : 0.390804597701
+2016-08-24 18:03:02,068 DEBUG: Best view : MiRNA_
+2016-08-24 18:03:18,467 DEBUG: Start: Iteration 248
+2016-08-24 18:03:18,485 DEBUG: View 0 : 0.471264367816
+2016-08-24 18:03:18,494 DEBUG: View 1 : 0.574712643678
+2016-08-24 18:03:18,536 DEBUG: View 2 : 0.362068965517
+2016-08-24 18:03:18,545 DEBUG: View 3 : 0.465517241379
+2016-08-24 18:03:19,301 DEBUG: Best view : MiRNA_
+2016-08-24 18:03:35,792 DEBUG: Start: Iteration 249
+2016-08-24 18:03:35,810 DEBUG: View 0 : 0.396551724138
+2016-08-24 18:03:35,819 DEBUG: View 1 : 0.695402298851
+2016-08-24 18:03:35,861 DEBUG: View 2 : 0.402298850575
+2016-08-24 18:03:35,870 DEBUG: View 3 : 0.494252873563
+2016-08-24 18:03:36,631 DEBUG: Best view : MiRNA_
+2016-08-24 18:03:53,181 DEBUG: Start: Iteration 250
+2016-08-24 18:03:53,199 DEBUG: View 0 : 0.557471264368
+2016-08-24 18:03:53,208 DEBUG: View 1 : 0.672413793103
+2016-08-24 18:03:53,251 DEBUG: View 2 : 0.333333333333
+2016-08-24 18:03:53,261 DEBUG: View 3 : 0.477011494253
+2016-08-24 18:03:54,015 DEBUG: Best view : MiRNA_
+2016-08-24 18:04:10,702 DEBUG: Start: Iteration 251
+2016-08-24 18:04:10,721 DEBUG: View 0 : 0.591954022989
+2016-08-24 18:04:10,729 DEBUG: View 1 : 0.609195402299
+2016-08-24 18:04:10,773 DEBUG: View 2 : 0.396551724138
+2016-08-24 18:04:10,783 DEBUG: View 3 : 0.522988505747
+2016-08-24 18:04:11,563 DEBUG: Best view : MiRNA_
+2016-08-24 18:04:28,206 DEBUG: Start: Iteration 252
+2016-08-24 18:04:28,224 DEBUG: View 0 : 0.597701149425
+2016-08-24 18:04:28,233 DEBUG: View 1 : 0.344827586207
+2016-08-24 18:04:28,277 DEBUG: View 2 : 0.408045977011
+2016-08-24 18:04:28,286 DEBUG: View 3 : 0.488505747126
+2016-08-24 18:04:29,050 DEBUG: Best view : Methyl
+2016-08-24 18:04:45,762 DEBUG: Start: Iteration 253
+2016-08-24 18:04:45,780 DEBUG: View 0 : 0.528735632184
+2016-08-24 18:04:45,789 DEBUG: View 1 : 0.735632183908
+2016-08-24 18:04:45,833 DEBUG: View 2 : 0.316091954023
+2016-08-24 18:04:45,842 DEBUG: View 3 : 0.580459770115
+2016-08-24 18:04:46,609 DEBUG: Best view : MiRNA_
+2016-08-24 18:05:03,414 DEBUG: Start: Iteration 254
+2016-08-24 18:05:03,432 DEBUG: View 0 : 0.614942528736
+2016-08-24 18:05:03,441 DEBUG: View 1 : 0.712643678161
+2016-08-24 18:05:03,485 DEBUG: View 2 : 0.64367816092
+2016-08-24 18:05:03,494 DEBUG: View 3 : 0.655172413793
+2016-08-24 18:05:04,265 DEBUG: Best view : MiRNA_
+2016-08-24 18:05:21,144 DEBUG: Start: Iteration 255
+2016-08-24 18:05:21,162 DEBUG: View 0 : 0.752873563218
+2016-08-24 18:05:21,171 DEBUG: View 1 : 0.373563218391
+2016-08-24 18:05:21,215 DEBUG: View 2 : 0.471264367816
+2016-08-24 18:05:21,225 DEBUG: View 3 : 0.580459770115
+2016-08-24 18:05:22,004 DEBUG: Best view : Methyl
+2016-08-24 18:05:38,962 DEBUG: Start: Iteration 256
+2016-08-24 18:05:38,980 DEBUG: View 0 : 0.557471264368
+2016-08-24 18:05:38,989 DEBUG: View 1 : 0.666666666667
+2016-08-24 18:05:39,033 DEBUG: View 2 : 0.637931034483
+2016-08-24 18:05:39,043 DEBUG: View 3 : 0.488505747126
+2016-08-24 18:05:39,821 DEBUG: Best view : MiRNA_
+2016-08-24 18:05:56,824 DEBUG: Start: Iteration 257
+2016-08-24 18:05:56,842 DEBUG: View 0 : 0.310344827586
+2016-08-24 18:05:56,851 DEBUG: View 1 : 0.528735632184
+2016-08-24 18:05:56,894 DEBUG: View 2 : 0.557471264368
+2016-08-24 18:05:56,903 DEBUG: View 3 : 0.66091954023
+2016-08-24 18:05:57,680 DEBUG: Best view : Clinic
+2016-08-24 18:06:14,758 DEBUG: Start: Iteration 258
+2016-08-24 18:06:14,776 DEBUG: View 0 : 0.442528735632
+2016-08-24 18:06:14,785 DEBUG: View 1 : 0.701149425287
+2016-08-24 18:06:14,828 DEBUG: View 2 : 0.33908045977
+2016-08-24 18:06:14,837 DEBUG: View 3 : 0.511494252874
+2016-08-24 18:06:15,617 DEBUG: Best view : MiRNA_
+2016-08-24 18:06:32,721 DEBUG: Start: Iteration 259
+2016-08-24 18:06:32,739 DEBUG: View 0 : 0.551724137931
+2016-08-24 18:06:32,748 DEBUG: View 1 : 0.48275862069
+2016-08-24 18:06:32,792 DEBUG: View 2 : 0.626436781609
+2016-08-24 18:06:32,801 DEBUG: View 3 : 0.448275862069
+2016-08-24 18:06:33,620 DEBUG: Best view : RANSeq
+2016-08-24 18:06:50,811 DEBUG: Start: Iteration 260
+2016-08-24 18:06:50,830 DEBUG: View 0 : 0.637931034483
+2016-08-24 18:06:50,839 DEBUG: View 1 : 0.402298850575
+2016-08-24 18:06:50,883 DEBUG: View 2 : 0.603448275862
+2016-08-24 18:06:50,892 DEBUG: View 3 : 0.465517241379
+2016-08-24 18:06:51,686 DEBUG: Best view : Methyl
+2016-08-24 18:07:08,917 DEBUG: Start: Iteration 261
+2016-08-24 18:07:08,935 DEBUG: View 0 : 0.402298850575
+2016-08-24 18:07:08,944 DEBUG: View 1 : 0.568965517241
+2016-08-24 18:07:08,987 DEBUG: View 2 : 0.729885057471
+2016-08-24 18:07:08,997 DEBUG: View 3 : 0.390804597701
+2016-08-24 18:07:09,790 DEBUG: Best view : RANSeq
+2016-08-24 18:07:27,144 DEBUG: Start: Iteration 262
+2016-08-24 18:07:27,162 DEBUG: View 0 : 0.488505747126
+2016-08-24 18:07:27,171 DEBUG: View 1 : 0.333333333333
+2016-08-24 18:07:27,216 DEBUG: View 2 : 0.304597701149
+2016-08-24 18:07:27,225 DEBUG: View 3 : 0.706896551724
+2016-08-24 18:07:28,017 DEBUG: Best view : Clinic
+2016-08-24 18:07:45,452 DEBUG: Start: Iteration 263
+2016-08-24 18:07:45,470 DEBUG: View 0 : 0.522988505747
+2016-08-24 18:07:45,479 DEBUG: View 1 : 0.413793103448
+2016-08-24 18:07:45,522 DEBUG: View 2 : 0.551724137931
+2016-08-24 18:07:45,532 DEBUG: View 3 : 0.637931034483
+2016-08-24 18:07:46,323 DEBUG: Best view : Clinic
+2016-08-24 18:08:03,863 DEBUG: Start: Iteration 264
+2016-08-24 18:08:03,882 DEBUG: View 0 : 0.32183908046
+2016-08-24 18:08:03,891 DEBUG: View 1 : 0.258620689655
+2016-08-24 18:08:03,934 DEBUG: View 2 : 0.310344827586
+2016-08-24 18:08:03,944 DEBUG: View 3 : 0.568965517241
+2016-08-24 18:08:04,741 DEBUG: Best view : Clinic
+2016-08-24 18:08:22,302 DEBUG: Start: Iteration 265
+2016-08-24 18:08:22,320 DEBUG: View 0 : 0.35632183908
+2016-08-24 18:08:22,329 DEBUG: View 1 : 0.712643678161
+2016-08-24 18:08:22,373 DEBUG: View 2 : 0.672413793103
+2016-08-24 18:08:22,382 DEBUG: View 3 : 0.603448275862
+2016-08-24 18:08:23,184 DEBUG: Best view : MiRNA_
+2016-08-24 18:08:40,832 DEBUG: Start: Iteration 266
+2016-08-24 18:08:40,851 DEBUG: View 0 : 0.591954022989
+2016-08-24 18:08:40,859 DEBUG: View 1 : 0.655172413793
+2016-08-24 18:08:40,903 DEBUG: View 2 : 0.505747126437
+2016-08-24 18:08:40,912 DEBUG: View 3 : 0.448275862069
+2016-08-24 18:08:41,722 DEBUG: Best view : MiRNA_
+2016-08-24 18:08:59,412 DEBUG: Start: Iteration 267
+2016-08-24 18:08:59,430 DEBUG: View 0 : 0.64367816092
+2016-08-24 18:08:59,439 DEBUG: View 1 : 0.413793103448
+2016-08-24 18:08:59,483 DEBUG: View 2 : 0.505747126437
+2016-08-24 18:08:59,492 DEBUG: View 3 : 0.689655172414
+2016-08-24 18:09:00,308 DEBUG: Best view : Clinic
+2016-08-24 18:09:18,044 DEBUG: Start: Iteration 268
+2016-08-24 18:09:18,062 DEBUG: View 0 : 0.545977011494
+2016-08-24 18:09:18,071 DEBUG: View 1 : 0.344827586207
+2016-08-24 18:09:18,115 DEBUG: View 2 : 0.390804597701
+2016-08-24 18:09:18,124 DEBUG: View 3 : 0.390804597701
+2016-08-24 18:09:18,930 DEBUG: Best view : Methyl
+2016-08-24 18:09:36,760 DEBUG: Start: Iteration 269
+2016-08-24 18:09:36,778 DEBUG: View 0 : 0.477011494253
+2016-08-24 18:09:36,787 DEBUG: View 1 : 0.718390804598
+2016-08-24 18:09:36,833 DEBUG: View 2 : 0.344827586207
+2016-08-24 18:09:36,842 DEBUG: View 3 : 0.350574712644
+2016-08-24 18:09:37,669 DEBUG: Best view : MiRNA_
+2016-08-24 18:09:55,584 DEBUG: Start: Iteration 270
+2016-08-24 18:09:55,602 DEBUG: View 0 : 0.689655172414
+2016-08-24 18:09:55,612 DEBUG: View 1 : 0.689655172414
+2016-08-24 18:09:55,658 DEBUG: View 2 : 0.419540229885
+2016-08-24 18:09:55,667 DEBUG: View 3 : 0.5
+2016-08-24 18:09:56,486 DEBUG: Best view : MiRNA_
+2016-08-24 18:10:14,443 DEBUG: Start: Iteration 271
+2016-08-24 18:10:14,461 DEBUG: View 0 : 0.402298850575
+2016-08-24 18:10:14,470 DEBUG: View 1 : 0.540229885057
+2016-08-24 18:10:14,515 DEBUG: View 2 : 0.591954022989
+2016-08-24 18:10:14,524 DEBUG: View 3 : 0.649425287356
+2016-08-24 18:10:15,347 DEBUG: Best view : Clinic
+2016-08-24 18:10:33,351 DEBUG: Start: Iteration 272
+2016-08-24 18:10:33,369 DEBUG: View 0 : 0.649425287356
+2016-08-24 18:10:33,378 DEBUG: View 1 : 0.712643678161
+2016-08-24 18:10:33,421 DEBUG: View 2 : 0.373563218391
+2016-08-24 18:10:33,431 DEBUG: View 3 : 0.385057471264
+2016-08-24 18:10:34,249 DEBUG: Best view : MiRNA_
+2016-08-24 18:10:52,314 DEBUG: Start: Iteration 273
+2016-08-24 18:10:52,332 DEBUG: View 0 : 0.568965517241
+2016-08-24 18:10:52,341 DEBUG: View 1 : 0.494252873563
+2016-08-24 18:10:52,384 DEBUG: View 2 : 0.597701149425
+2016-08-24 18:10:52,394 DEBUG: View 3 : 0.344827586207
+2016-08-24 18:10:53,223 DEBUG: Best view : RANSeq
+2016-08-24 18:11:11,355 DEBUG: Start: Iteration 274
+2016-08-24 18:11:11,373 DEBUG: View 0 : 0.66091954023
+2016-08-24 18:11:11,382 DEBUG: View 1 : 0.390804597701
+2016-08-24 18:11:11,426 DEBUG: View 2 : 0.425287356322
+2016-08-24 18:11:11,435 DEBUG: View 3 : 0.540229885057
+2016-08-24 18:11:12,260 DEBUG: Best view : Methyl
+2016-08-24 18:11:30,480 DEBUG: Start: Iteration 275
+2016-08-24 18:11:30,498 DEBUG: View 0 : 0.528735632184
+2016-08-24 18:11:30,507 DEBUG: View 1 : 0.436781609195
+2016-08-24 18:11:30,551 DEBUG: View 2 : 0.563218390805
+2016-08-24 18:11:30,560 DEBUG: View 3 : 0.67816091954
+2016-08-24 18:11:31,388 DEBUG: Best view : Clinic
+2016-08-24 18:11:49,669 DEBUG: Start: Iteration 276
+2016-08-24 18:11:49,687 DEBUG: View 0 : 0.505747126437
+2016-08-24 18:11:49,696 DEBUG: View 1 : 0.563218390805
+2016-08-24 18:11:49,740 DEBUG: View 2 : 0.609195402299
+2016-08-24 18:11:49,749 DEBUG: View 3 : 0.310344827586
+2016-08-24 18:11:50,579 DEBUG: Best view : RANSeq
+2016-08-24 18:12:08,939 DEBUG: Start: Iteration 277
+2016-08-24 18:12:08,958 DEBUG: View 0 : 0.626436781609
+2016-08-24 18:12:08,967 DEBUG: View 1 : 0.540229885057
+2016-08-24 18:12:09,010 DEBUG: View 2 : 0.436781609195
+2016-08-24 18:12:09,020 DEBUG: View 3 : 0.32183908046
+2016-08-24 18:12:09,854 DEBUG: Best view : Methyl
+2016-08-24 18:12:28,283 DEBUG: Start: Iteration 278
+2016-08-24 18:12:28,301 DEBUG: View 0 : 0.586206896552
+2016-08-24 18:12:28,310 DEBUG: View 1 : 0.48275862069
+2016-08-24 18:12:28,354 DEBUG: View 2 : 0.442528735632
+2016-08-24 18:12:28,363 DEBUG: View 3 : 0.522988505747
+2016-08-24 18:12:29,230 DEBUG: Best view : Methyl
+2016-08-24 18:12:47,688 DEBUG: Start: Iteration 279
+2016-08-24 18:12:47,706 DEBUG: View 0 : 0.5
+2016-08-24 18:12:47,715 DEBUG: View 1 : 0.33908045977
+2016-08-24 18:12:47,760 DEBUG: View 2 : 0.344827586207
+2016-08-24 18:12:47,769 DEBUG: View 3 : 0.511494252874
+2016-08-24 18:12:48,622 DEBUG: Best view : Clinic
+2016-08-24 18:13:07,162 DEBUG: Start: Iteration 280
+2016-08-24 18:13:07,180 DEBUG: View 0 : 0.545977011494
+2016-08-24 18:13:07,189 DEBUG: View 1 : 0.563218390805
+2016-08-24 18:13:07,233 DEBUG: View 2 : 0.333333333333
+2016-08-24 18:13:07,243 DEBUG: View 3 : 0.568965517241
+2016-08-24 18:13:08,083 DEBUG: Best view : MiRNA_
+2016-08-24 18:13:26,692 DEBUG: Start: Iteration 281
+2016-08-24 18:13:26,711 DEBUG: View 0 : 0.580459770115
+2016-08-24 18:13:26,720 DEBUG: View 1 : 0.706896551724
+2016-08-24 18:13:26,764 DEBUG: View 2 : 0.597701149425
+2016-08-24 18:13:26,773 DEBUG: View 3 : 0.35632183908
+2016-08-24 18:13:27,628 DEBUG: Best view : MiRNA_
+2016-08-24 18:13:46,280 DEBUG: Start: Iteration 282
+2016-08-24 18:13:46,299 DEBUG: View 0 : 0.551724137931
+2016-08-24 18:13:46,307 DEBUG: View 1 : 0.586206896552
+2016-08-24 18:13:46,352 DEBUG: View 2 : 0.304597701149
+2016-08-24 18:13:46,361 DEBUG: View 3 : 0.712643678161
+2016-08-24 18:13:47,210 DEBUG: Best view : Clinic
+2016-08-24 18:14:05,990 DEBUG: Start: Iteration 283
+2016-08-24 18:14:06,009 DEBUG: View 0 : 0.597701149425
+2016-08-24 18:14:06,017 DEBUG: View 1 : 0.390804597701
+2016-08-24 18:14:06,062 DEBUG: View 2 : 0.327586206897
+2016-08-24 18:14:06,071 DEBUG: View 3 : 0.379310344828
+2016-08-24 18:14:06,920 DEBUG: Best view : Methyl
+2016-08-24 18:14:25,730 DEBUG: Start: Iteration 284
+2016-08-24 18:14:25,748 DEBUG: View 0 : 0.477011494253
+2016-08-24 18:14:25,757 DEBUG: View 1 : 0.649425287356
+2016-08-24 18:14:25,801 DEBUG: View 2 : 0.522988505747
+2016-08-24 18:14:25,811 DEBUG: View 3 : 0.67816091954
+2016-08-24 18:14:26,663 DEBUG: Best view : Clinic
+2016-08-24 18:14:45,512 DEBUG: Start: Iteration 285
+2016-08-24 18:14:45,530 DEBUG: View 0 : 0.591954022989
+2016-08-24 18:14:45,539 DEBUG: View 1 : 0.67816091954
+2016-08-24 18:14:45,583 DEBUG: View 2 : 0.511494252874
+2016-08-24 18:14:45,593 DEBUG: View 3 : 0.67816091954
+2016-08-24 18:14:46,445 DEBUG: Best view : MiRNA_
+2016-08-24 18:15:05,398 DEBUG: Start: Iteration 286
+2016-08-24 18:15:05,416 DEBUG: View 0 : 0.597701149425
+2016-08-24 18:15:05,425 DEBUG: View 1 : 0.293103448276
+2016-08-24 18:15:05,469 DEBUG: View 2 : 0.620689655172
+2016-08-24 18:15:05,479 DEBUG: View 3 : 0.344827586207
+2016-08-24 18:15:06,343 DEBUG: Best view : Methyl
+2016-08-24 18:15:25,350 DEBUG: Start: Iteration 287
+2016-08-24 18:15:25,368 DEBUG: View 0 : 0.33908045977
+2016-08-24 18:15:25,377 DEBUG: View 1 : 0.689655172414
+2016-08-24 18:15:25,421 DEBUG: View 2 : 0.419540229885
+2016-08-24 18:15:25,431 DEBUG: View 3 : 0.362068965517
+2016-08-24 18:15:26,298 DEBUG: Best view : MiRNA_
+2016-08-24 18:15:45,363 DEBUG: Start: Iteration 288
+2016-08-24 18:15:45,382 DEBUG: View 0 : 0.701149425287
+2016-08-24 18:15:45,391 DEBUG: View 1 : 0.367816091954
+2016-08-24 18:15:45,435 DEBUG: View 2 : 0.35632183908
+2016-08-24 18:15:45,444 DEBUG: View 3 : 0.494252873563
+2016-08-24 18:15:46,313 DEBUG: Best view : Methyl
+2016-08-24 18:16:05,468 DEBUG: Start: Iteration 289
+2016-08-24 18:16:05,486 DEBUG: View 0 : 0.465517241379
+2016-08-24 18:16:05,495 DEBUG: View 1 : 0.568965517241
+2016-08-24 18:16:05,539 DEBUG: View 2 : 0.436781609195
+2016-08-24 18:16:05,548 DEBUG: View 3 : 0.431034482759
+2016-08-24 18:16:06,421 DEBUG: Best view : MiRNA_
+2016-08-24 18:16:25,605 DEBUG: Start: Iteration 290
+2016-08-24 18:16:25,624 DEBUG: View 0 : 0.557471264368
+2016-08-24 18:16:25,633 DEBUG: View 1 : 0.655172413793
+2016-08-24 18:16:25,677 DEBUG: View 2 : 0.649425287356
+2016-08-24 18:16:25,687 DEBUG: View 3 : 0.379310344828
+2016-08-24 18:16:26,560 DEBUG: Best view : MiRNA_
+2016-08-24 18:16:45,788 DEBUG: Start: Iteration 291
+2016-08-24 18:16:45,806 DEBUG: View 0 : 0.293103448276
+2016-08-24 18:16:45,815 DEBUG: View 1 : 0.396551724138
+2016-08-24 18:16:45,859 DEBUG: View 2 : 0.551724137931
+2016-08-24 18:16:45,868 DEBUG: View 3 : 0.425287356322
+2016-08-24 18:16:46,752 DEBUG: Best view : RANSeq
+2016-08-24 18:17:06,093 DEBUG: Start: Iteration 292
+2016-08-24 18:17:06,111 DEBUG: View 0 : 0.465517241379
+2016-08-24 18:17:06,120 DEBUG: View 1 : 0.425287356322
+2016-08-24 18:17:06,163 DEBUG: View 2 : 0.551724137931
+2016-08-24 18:17:06,172 DEBUG: View 3 : 0.385057471264
+2016-08-24 18:17:07,066 DEBUG: Best view : RANSeq
+2016-08-24 18:17:26,493 DEBUG: Start: Iteration 293
+2016-08-24 18:17:26,511 DEBUG: View 0 : 0.471264367816
+2016-08-24 18:17:26,520 DEBUG: View 1 : 0.64367816092
+2016-08-24 18:17:26,566 DEBUG: View 2 : 0.712643678161
+2016-08-24 18:17:26,575 DEBUG: View 3 : 0.637931034483
+2016-08-24 18:17:27,458 DEBUG: Best view : RANSeq
+2016-08-24 18:17:46,915 DEBUG: Start: Iteration 294
+2016-08-24 18:17:46,933 DEBUG: View 0 : 0.402298850575
+2016-08-24 18:17:46,942 DEBUG: View 1 : 0.511494252874
+2016-08-24 18:17:46,987 DEBUG: View 2 : 0.442528735632
+2016-08-24 18:17:46,996 DEBUG: View 3 : 0.5
+2016-08-24 18:17:47,880 DEBUG: Best view : MiRNA_
+2016-08-24 18:18:07,439 DEBUG: Start: Iteration 295
+2016-08-24 18:18:07,457 DEBUG: View 0 : 0.344827586207
+2016-08-24 18:18:07,467 DEBUG: View 1 : 0.511494252874
+2016-08-24 18:18:07,513 DEBUG: View 2 : 0.701149425287
+2016-08-24 18:18:07,523 DEBUG: View 3 : 0.373563218391
+2016-08-24 18:18:08,411 DEBUG: Best view : RANSeq
+2016-08-24 18:18:28,032 DEBUG: Start: Iteration 296
+2016-08-24 18:18:28,050 DEBUG: View 0 : 0.511494252874
+2016-08-24 18:18:28,059 DEBUG: View 1 : 0.614942528736
+2016-08-24 18:18:28,104 DEBUG: View 2 : 0.67816091954
+2016-08-24 18:18:28,114 DEBUG: View 3 : 0.419540229885
+2016-08-24 18:18:29,001 DEBUG: Best view : RANSeq
+2016-08-24 18:18:48,697 DEBUG: Start: Iteration 297
+2016-08-24 18:18:48,715 DEBUG: View 0 : 0.67816091954
+2016-08-24 18:18:48,724 DEBUG: View 1 : 0.655172413793
+2016-08-24 18:18:48,769 DEBUG: View 2 : 0.51724137931
+2016-08-24 18:18:48,779 DEBUG: View 3 : 0.471264367816
+2016-08-24 18:18:49,670 DEBUG: Best view : Methyl
+2016-08-24 18:19:09,525 DEBUG: Start: Iteration 298
+2016-08-24 18:19:09,543 DEBUG: View 0 : 0.666666666667
+2016-08-24 18:19:09,552 DEBUG: View 1 : 0.51724137931
+2016-08-24 18:19:09,598 DEBUG: View 2 : 0.379310344828
+2016-08-24 18:19:09,608 DEBUG: View 3 : 0.67816091954
+2016-08-24 18:19:10,497 DEBUG: Best view : Clinic
+2016-08-24 18:19:30,325 DEBUG: Start: Iteration 299
+2016-08-24 18:19:30,343 DEBUG: View 0 : 0.304597701149
+2016-08-24 18:19:30,352 DEBUG: View 1 : 0.459770114943
+2016-08-24 18:19:30,397 DEBUG: View 2 : 0.413793103448
+2016-08-24 18:19:30,407 DEBUG: View 3 : 0.620689655172
+2016-08-24 18:19:31,308 DEBUG: Best view : Clinic
+2016-08-24 18:19:51,204 DEBUG: Start: Iteration 300
+2016-08-24 18:19:51,222 DEBUG: View 0 : 0.67816091954
+2016-08-24 18:19:51,231 DEBUG: View 1 : 0.281609195402
+2016-08-24 18:19:51,276 DEBUG: View 2 : 0.563218390805
+2016-08-24 18:19:51,286 DEBUG: View 3 : 0.712643678161
+2016-08-24 18:19:52,186 DEBUG: Best view : Methyl
+2016-08-24 18:20:12,169 DEBUG: Start: Iteration 301
+2016-08-24 18:20:12,187 DEBUG: View 0 : 0.620689655172
+2016-08-24 18:20:12,196 DEBUG: View 1 : 0.67816091954
+2016-08-24 18:20:12,242 DEBUG: View 2 : 0.568965517241
+2016-08-24 18:20:12,252 DEBUG: View 3 : 0.379310344828
+2016-08-24 18:20:13,154 DEBUG: Best view : MiRNA_
+2016-08-24 18:20:33,472 DEBUG: Start: Iteration 302
+2016-08-24 18:20:33,493 DEBUG: View 0 : 0.632183908046
+2016-08-24 18:20:33,503 DEBUG: View 1 : 0.574712643678
+2016-08-24 18:20:33,555 DEBUG: View 2 : 0.459770114943
+2016-08-24 18:20:33,567 DEBUG: View 3 : 0.551724137931
+2016-08-24 18:20:34,493 DEBUG: Best view : Methyl
+2016-08-24 18:20:54,594 INFO: Start: Classification
+2016-08-24 18:21:36,812 INFO: Done: Fold number 1
+2016-08-24 18:21:36,812 INFO: Start: Fold number 2
+2016-08-24 18:21:38,581 DEBUG: Start: Iteration 1
+2016-08-24 18:21:38,601 DEBUG: View 0 : 0.405882352941
+2016-08-24 18:21:38,610 DEBUG: View 1 : 0.547058823529
+2016-08-24 18:21:38,650 DEBUG: View 2 : 0.7
+2016-08-24 18:21:38,660 DEBUG: View 3 : 0.394117647059
+2016-08-24 18:21:38,704 DEBUG: Best view : MiRNA_
+2016-08-24 18:21:38,780 DEBUG: Start: Iteration 2
+2016-08-24 18:21:38,798 DEBUG: View 0 : 0.635294117647
+2016-08-24 18:21:38,807 DEBUG: View 1 : 0.435294117647
+2016-08-24 18:21:38,856 DEBUG: View 2 : 0.323529411765
+2016-08-24 18:21:38,866 DEBUG: View 3 : 0.547058823529
+2016-08-24 18:21:38,922 DEBUG: Best view : Methyl
+2016-08-24 18:21:39,065 DEBUG: Start: Iteration 3
+2016-08-24 18:21:39,083 DEBUG: View 0 : 0.329411764706
+2016-08-24 18:21:39,092 DEBUG: View 1 : 0.529411764706
+2016-08-24 18:21:39,142 DEBUG: View 2 : 0.488235294118
+2016-08-24 18:21:39,152 DEBUG: View 3 : 0.447058823529
+2016-08-24 18:21:39,211 DEBUG: Best view : RANSeq
+2016-08-24 18:21:39,433 DEBUG: Start: Iteration 4
+2016-08-24 18:21:39,452 DEBUG: View 0 : 0.511764705882
+2016-08-24 18:21:39,460 DEBUG: View 1 : 0.635294117647
+2016-08-24 18:21:39,511 DEBUG: View 2 : 0.670588235294
+2016-08-24 18:21:39,521 DEBUG: View 3 : 0.694117647059
+2016-08-24 18:21:39,582 DEBUG: Best view : Clinic
+2016-08-24 18:21:39,864 DEBUG: Start: Iteration 5
+2016-08-24 18:21:39,881 DEBUG: View 0 : 0.5
+2016-08-24 18:21:39,890 DEBUG: View 1 : 0.276470588235
+2016-08-24 18:21:39,939 DEBUG: View 2 : 0.488235294118
+2016-08-24 18:21:39,949 DEBUG: View 3 : 0.364705882353
+2016-08-24 18:21:40,013 DEBUG: Best view : Methyl
+2016-08-24 18:21:40,360 DEBUG: Start: Iteration 6
+2016-08-24 18:21:40,378 DEBUG: View 0 : 0.452941176471
+2016-08-24 18:21:40,386 DEBUG: View 1 : 0.488235294118
+2016-08-24 18:21:40,444 DEBUG: View 2 : 0.6
+2016-08-24 18:21:40,454 DEBUG: View 3 : 0.652941176471
+2016-08-24 18:21:40,522 DEBUG: Best view : Clinic
+2016-08-24 18:21:40,931 DEBUG: Start: Iteration 7
+2016-08-24 18:21:40,949 DEBUG: View 0 : 0.447058823529
+2016-08-24 18:21:40,958 DEBUG: View 1 : 0.3
+2016-08-24 18:21:41,002 DEBUG: View 2 : 0.488235294118
+2016-08-24 18:21:41,012 DEBUG: View 3 : 0.447058823529
+2016-08-24 18:21:41,012 WARNING: WARNING: All bad for iteration 6
+2016-08-24 18:21:41,082 DEBUG: Best view : RANSeq
+2016-08-24 18:21:41,567 DEBUG: Start: Iteration 8
+2016-08-24 18:21:41,585 DEBUG: View 0 : 0.364705882353
+2016-08-24 18:21:41,594 DEBUG: View 1 : 0.552941176471
+2016-08-24 18:21:41,638 DEBUG: View 2 : 0.417647058824
+2016-08-24 18:21:41,647 DEBUG: View 3 : 0.447058823529
+2016-08-24 18:21:41,721 DEBUG: Best view : MiRNA_
+2016-08-24 18:21:42,268 DEBUG: Start: Iteration 9
+2016-08-24 18:21:42,287 DEBUG: View 0 : 0.552941176471
+2016-08-24 18:21:42,295 DEBUG: View 1 : 0.276470588235
+2016-08-24 18:21:42,340 DEBUG: View 2 : 0.429411764706
+2016-08-24 18:21:42,349 DEBUG: View 3 : 0.611764705882
+2016-08-24 18:21:42,426 DEBUG: Best view : Clinic
+2016-08-24 18:21:43,032 DEBUG: Start: Iteration 10
+2016-08-24 18:21:43,050 DEBUG: View 0 : 0.652941176471
+2016-08-24 18:21:43,059 DEBUG: View 1 : 0.464705882353
+2016-08-24 18:21:43,103 DEBUG: View 2 : 0.364705882353
+2016-08-24 18:21:43,112 DEBUG: View 3 : 0.335294117647
+2016-08-24 18:21:43,192 DEBUG: Best view : Methyl
+2016-08-24 18:21:43,864 DEBUG: Start: Iteration 11
+2016-08-24 18:21:43,882 DEBUG: View 0 : 0.711764705882
+2016-08-24 18:21:43,891 DEBUG: View 1 : 0.247058823529
+2016-08-24 18:21:43,936 DEBUG: View 2 : 0.417647058824
+2016-08-24 18:21:43,945 DEBUG: View 3 : 0.341176470588
+2016-08-24 18:21:44,028 DEBUG: Best view : Methyl
+2016-08-24 18:21:44,763 DEBUG: Start: Iteration 12
+2016-08-24 18:21:44,781 DEBUG: View 0 : 0.605882352941
+2016-08-24 18:21:44,790 DEBUG: View 1 : 0.329411764706
+2016-08-24 18:21:44,835 DEBUG: View 2 : 0.364705882353
+2016-08-24 18:21:44,844 DEBUG: View 3 : 0.470588235294
+2016-08-24 18:21:44,929 DEBUG: Best view : Methyl
+2016-08-24 18:21:45,730 DEBUG: Start: Iteration 13
+2016-08-24 18:21:45,748 DEBUG: View 0 : 0.576470588235
+2016-08-24 18:21:45,757 DEBUG: View 1 : 0.605882352941
+2016-08-24 18:21:45,800 DEBUG: View 2 : 0.5
+2016-08-24 18:21:45,810 DEBUG: View 3 : 0.470588235294
+2016-08-24 18:21:45,898 DEBUG: Best view : MiRNA_
+2016-08-24 18:21:46,770 DEBUG: Start: Iteration 14
+2016-08-24 18:21:46,788 DEBUG: View 0 : 0.611764705882
+2016-08-24 18:21:46,797 DEBUG: View 1 : 0.723529411765
+2016-08-24 18:21:46,841 DEBUG: View 2 : 0.576470588235
+2016-08-24 18:21:46,851 DEBUG: View 3 : 0.623529411765
+2016-08-24 18:21:46,942 DEBUG: Best view : MiRNA_
+2016-08-24 18:21:47,872 DEBUG: Start: Iteration 15
+2016-08-24 18:21:47,890 DEBUG: View 0 : 0.458823529412
+2016-08-24 18:21:47,899 DEBUG: View 1 : 0.547058823529
+2016-08-24 18:21:47,943 DEBUG: View 2 : 0.594117647059
+2016-08-24 18:21:47,952 DEBUG: View 3 : 0.694117647059
+2016-08-24 18:21:48,046 DEBUG: Best view : Clinic
+2016-08-24 18:21:49,028 DEBUG: Start: Iteration 16
+2016-08-24 18:21:49,046 DEBUG: View 0 : 0.511764705882
+2016-08-24 18:21:49,054 DEBUG: View 1 : 0.723529411765
+2016-08-24 18:21:49,099 DEBUG: View 2 : 0.594117647059
+2016-08-24 18:21:49,108 DEBUG: View 3 : 0.541176470588
+2016-08-24 18:21:49,204 DEBUG: Best view : MiRNA_
+2016-08-24 18:21:50,253 DEBUG: Start: Iteration 17
+2016-08-24 18:21:50,272 DEBUG: View 0 : 0.429411764706
+2016-08-24 18:21:50,280 DEBUG: View 1 : 0.382352941176
+2016-08-24 18:21:50,325 DEBUG: View 2 : 0.423529411765
+2016-08-24 18:21:50,334 DEBUG: View 3 : 0.458823529412
+2016-08-24 18:21:50,334 WARNING: WARNING: All bad for iteration 16
+2016-08-24 18:21:50,432 DEBUG: Best view : Clinic
+2016-08-24 18:21:51,542 DEBUG: Start: Iteration 18
+2016-08-24 18:21:51,560 DEBUG: View 0 : 0.5
+2016-08-24 18:21:51,568 DEBUG: View 1 : 0.435294117647
+2016-08-24 18:21:51,613 DEBUG: View 2 : 0.688235294118
+2016-08-24 18:21:51,623 DEBUG: View 3 : 0.388235294118
+2016-08-24 18:21:51,725 DEBUG: Best view : RANSeq
+2016-08-24 18:21:52,912 DEBUG: Start: Iteration 19
+2016-08-24 18:21:52,930 DEBUG: View 0 : 0.488235294118
+2016-08-24 18:21:52,938 DEBUG: View 1 : 0.552941176471
+2016-08-24 18:21:52,983 DEBUG: View 2 : 0.576470588235
+2016-08-24 18:21:52,992 DEBUG: View 3 : 0.370588235294
+2016-08-24 18:21:53,097 DEBUG: Best view : RANSeq
+2016-08-24 18:21:54,361 DEBUG: Start: Iteration 20
+2016-08-24 18:21:54,379 DEBUG: View 0 : 0.258823529412
+2016-08-24 18:21:54,388 DEBUG: View 1 : 0.329411764706
+2016-08-24 18:21:54,433 DEBUG: View 2 : 0.305882352941
+2016-08-24 18:21:54,442 DEBUG: View 3 : 0.511764705882
+2016-08-24 18:21:54,549 DEBUG: Best view : Clinic
+2016-08-24 18:21:55,870 DEBUG: Start: Iteration 21
+2016-08-24 18:21:55,889 DEBUG: View 0 : 0.529411764706
+2016-08-24 18:21:55,898 DEBUG: View 1 : 0.664705882353
+2016-08-24 18:21:55,943 DEBUG: View 2 : 0.641176470588
+2016-08-24 18:21:55,952 DEBUG: View 3 : 0.488235294118
+2016-08-24 18:21:56,063 DEBUG: Best view : MiRNA_
+2016-08-24 18:21:57,448 DEBUG: Start: Iteration 22
+2016-08-24 18:21:57,466 DEBUG: View 0 : 0.588235294118
+2016-08-24 18:21:57,474 DEBUG: View 1 : 0.447058823529
+2016-08-24 18:21:57,519 DEBUG: View 2 : 0.341176470588
+2016-08-24 18:21:57,528 DEBUG: View 3 : 0.611764705882
+2016-08-24 18:21:57,641 DEBUG: Best view : Methyl
+2016-08-24 18:21:59,088 DEBUG: Start: Iteration 23
+2016-08-24 18:21:59,106 DEBUG: View 0 : 0.476470588235
+2016-08-24 18:21:59,115 DEBUG: View 1 : 0.252941176471
+2016-08-24 18:21:59,159 DEBUG: View 2 : 0.452941176471
+2016-08-24 18:21:59,168 DEBUG: View 3 : 0.335294117647
+2016-08-24 18:21:59,168 WARNING: WARNING: All bad for iteration 22
+2016-08-24 18:21:59,284 DEBUG: Best view : Methyl
+2016-08-24 18:22:00,799 DEBUG: Start: Iteration 24
+2016-08-24 18:22:00,817 DEBUG: View 0 : 0.511764705882
+2016-08-24 18:22:00,826 DEBUG: View 1 : 0.3
+2016-08-24 18:22:00,869 DEBUG: View 2 : 0.447058823529
+2016-08-24 18:22:00,879 DEBUG: View 3 : 0.435294117647
+2016-08-24 18:22:00,997 DEBUG: Best view : Methyl
+2016-08-24 18:22:02,576 DEBUG: Start: Iteration 25
+2016-08-24 18:22:02,594 DEBUG: View 0 : 0.564705882353
+2016-08-24 18:22:02,602 DEBUG: View 1 : 0.623529411765
+2016-08-24 18:22:02,647 DEBUG: View 2 : 0.376470588235
+2016-08-24 18:22:02,656 DEBUG: View 3 : 0.505882352941
+2016-08-24 18:22:02,778 DEBUG: Best view : MiRNA_
+2016-08-24 18:22:04,419 DEBUG: Start: Iteration 26
+2016-08-24 18:22:04,437 DEBUG: View 0 : 0.411764705882
+2016-08-24 18:22:04,446 DEBUG: View 1 : 0.517647058824
+2016-08-24 18:22:04,491 DEBUG: View 2 : 0.605882352941
+2016-08-24 18:22:04,500 DEBUG: View 3 : 0.335294117647
+2016-08-24 18:22:04,627 DEBUG: Best view : RANSeq
+2016-08-24 18:22:06,341 DEBUG: Start: Iteration 27
+2016-08-24 18:22:06,359 DEBUG: View 0 : 0.452941176471
+2016-08-24 18:22:06,368 DEBUG: View 1 : 0.764705882353
+2016-08-24 18:22:06,413 DEBUG: View 2 : 0.523529411765
+2016-08-24 18:22:06,422 DEBUG: View 3 : 0.441176470588
+2016-08-24 18:22:06,551 DEBUG: Best view : MiRNA_
+2016-08-24 18:22:08,331 DEBUG: Start: Iteration 28
+2016-08-24 18:22:08,349 DEBUG: View 0 : 0.4
+2016-08-24 18:22:08,358 DEBUG: View 1 : 0.7
+2016-08-24 18:22:08,402 DEBUG: View 2 : 0.364705882353
+2016-08-24 18:22:08,411 DEBUG: View 3 : 0.4
+2016-08-24 18:22:08,541 DEBUG: Best view : MiRNA_
+2016-08-24 18:22:10,383 DEBUG: Start: Iteration 29
+2016-08-24 18:22:10,401 DEBUG: View 0 : 0.441176470588
+2016-08-24 18:22:10,410 DEBUG: View 1 : 0.735294117647
+2016-08-24 18:22:10,455 DEBUG: View 2 : 0.511764705882
+2016-08-24 18:22:10,464 DEBUG: View 3 : 0.564705882353
+2016-08-24 18:22:10,598 DEBUG: Best view : MiRNA_
+2016-08-24 18:22:12,502 DEBUG: Start: Iteration 30
+2016-08-24 18:22:12,520 DEBUG: View 0 : 0.417647058824
+2016-08-24 18:22:12,529 DEBUG: View 1 : 0.452941176471
+2016-08-24 18:22:12,573 DEBUG: View 2 : 0.523529411765
+2016-08-24 18:22:12,582 DEBUG: View 3 : 0.458823529412
+2016-08-24 18:22:12,719 DEBUG: Best view : RANSeq
+2016-08-24 18:22:14,698 DEBUG: Start: Iteration 31
+2016-08-24 18:22:14,716 DEBUG: View 0 : 0.694117647059
+2016-08-24 18:22:14,724 DEBUG: View 1 : 0.658823529412
+2016-08-24 18:22:14,768 DEBUG: View 2 : 0.541176470588
+2016-08-24 18:22:14,778 DEBUG: View 3 : 0.347058823529
+2016-08-24 18:22:14,916 DEBUG: Best view : Methyl
+2016-08-24 18:22:16,980 DEBUG: Start: Iteration 32
+2016-08-24 18:22:16,998 DEBUG: View 0 : 0.311764705882
+2016-08-24 18:22:17,007 DEBUG: View 1 : 0.452941176471
+2016-08-24 18:22:17,051 DEBUG: View 2 : 0.488235294118
+2016-08-24 18:22:17,060 DEBUG: View 3 : 0.676470588235
+2016-08-24 18:22:17,201 DEBUG: Best view : Clinic
+2016-08-24 18:22:19,307 DEBUG: Start: Iteration 33
+2016-08-24 18:22:19,325 DEBUG: View 0 : 0.252941176471
+2016-08-24 18:22:19,333 DEBUG: View 1 : 0.523529411765
+2016-08-24 18:22:19,378 DEBUG: View 2 : 0.588235294118
+2016-08-24 18:22:19,387 DEBUG: View 3 : 0.458823529412
+2016-08-24 18:22:19,531 DEBUG: Best view : RANSeq
+2016-08-24 18:22:21,714 DEBUG: Start: Iteration 34
+2016-08-24 18:22:21,732 DEBUG: View 0 : 0.288235294118
+2016-08-24 18:22:21,740 DEBUG: View 1 : 0.741176470588
+2016-08-24 18:22:21,785 DEBUG: View 2 : 0.458823529412
+2016-08-24 18:22:21,794 DEBUG: View 3 : 0.505882352941
+2016-08-24 18:22:21,942 DEBUG: Best view : MiRNA_
+2016-08-24 18:22:24,188 DEBUG: Start: Iteration 35
+2016-08-24 18:22:24,206 DEBUG: View 0 : 0.541176470588
+2016-08-24 18:22:24,215 DEBUG: View 1 : 0.682352941176
+2016-08-24 18:22:24,260 DEBUG: View 2 : 0.588235294118
+2016-08-24 18:22:24,270 DEBUG: View 3 : 0.417647058824
+2016-08-24 18:22:24,421 DEBUG: Best view : MiRNA_
+2016-08-24 18:22:26,724 DEBUG: Start: Iteration 36
+2016-08-24 18:22:26,742 DEBUG: View 0 : 0.358823529412
+2016-08-24 18:22:26,750 DEBUG: View 1 : 0.552941176471
+2016-08-24 18:22:26,795 DEBUG: View 2 : 0.447058823529
+2016-08-24 18:22:26,804 DEBUG: View 3 : 0.394117647059
+2016-08-24 18:22:26,957 DEBUG: Best view : MiRNA_
+2016-08-24 18:22:29,319 DEBUG: Start: Iteration 37
+2016-08-24 18:22:29,338 DEBUG: View 0 : 0.435294117647
+2016-08-24 18:22:29,346 DEBUG: View 1 : 0.582352941176
+2016-08-24 18:22:29,391 DEBUG: View 2 : 0.464705882353
+2016-08-24 18:22:29,400 DEBUG: View 3 : 0.494117647059
+2016-08-24 18:22:29,556 DEBUG: Best view : MiRNA_
+2016-08-24 18:22:31,984 DEBUG: Start: Iteration 38
+2016-08-24 18:22:32,002 DEBUG: View 0 : 0.494117647059
+2016-08-24 18:22:32,011 DEBUG: View 1 : 0.729411764706
+2016-08-24 18:22:32,056 DEBUG: View 2 : 0.541176470588
+2016-08-24 18:22:32,065 DEBUG: View 3 : 0.347058823529
+2016-08-24 18:22:32,225 DEBUG: Best view : MiRNA_
+2016-08-24 18:22:34,712 DEBUG: Start: Iteration 39
+2016-08-24 18:22:34,730 DEBUG: View 0 : 0.647058823529
+2016-08-24 18:22:34,739 DEBUG: View 1 : 0.552941176471
+2016-08-24 18:22:34,785 DEBUG: View 2 : 0.458823529412
+2016-08-24 18:22:34,794 DEBUG: View 3 : 0.505882352941
+2016-08-24 18:22:34,955 DEBUG: Best view : Methyl
+2016-08-24 18:22:37,505 DEBUG: Start: Iteration 40
+2016-08-24 18:22:37,524 DEBUG: View 0 : 0.382352941176
+2016-08-24 18:22:37,532 DEBUG: View 1 : 0.452941176471
+2016-08-24 18:22:37,577 DEBUG: View 2 : 0.611764705882
+2016-08-24 18:22:37,586 DEBUG: View 3 : 0.517647058824
+2016-08-24 18:22:37,751 DEBUG: Best view : RANSeq
+2016-08-24 18:22:40,382 DEBUG: Start: Iteration 41
+2016-08-24 18:22:40,400 DEBUG: View 0 : 0.476470588235
+2016-08-24 18:22:40,409 DEBUG: View 1 : 0.252941176471
+2016-08-24 18:22:40,458 DEBUG: View 2 : 0.570588235294
+2016-08-24 18:22:40,467 DEBUG: View 3 : 0.558823529412
+2016-08-24 18:22:40,638 DEBUG: Best view : RANSeq
+2016-08-24 18:22:43,351 DEBUG: Start: Iteration 42
+2016-08-24 18:22:43,369 DEBUG: View 0 : 0.7
+2016-08-24 18:22:43,378 DEBUG: View 1 : 0.494117647059
+2016-08-24 18:22:43,423 DEBUG: View 2 : 0.417647058824
+2016-08-24 18:22:43,432 DEBUG: View 3 : 0.447058823529
+2016-08-24 18:22:43,604 DEBUG: Best view : Methyl
+2016-08-24 18:22:46,384 DEBUG: Start: Iteration 43
+2016-08-24 18:22:46,403 DEBUG: View 0 : 0.711764705882
+2016-08-24 18:22:46,411 DEBUG: View 1 : 0.6
+2016-08-24 18:22:46,456 DEBUG: View 2 : 0.370588235294
+2016-08-24 18:22:46,466 DEBUG: View 3 : 0.564705882353
+2016-08-24 18:22:46,640 DEBUG: Best view : Methyl
+2016-08-24 18:22:49,481 DEBUG: Start: Iteration 44
+2016-08-24 18:22:49,499 DEBUG: View 0 : 0.429411764706
+2016-08-24 18:22:49,508 DEBUG: View 1 : 0.517647058824
+2016-08-24 18:22:49,555 DEBUG: View 2 : 0.358823529412
+2016-08-24 18:22:49,565 DEBUG: View 3 : 0.652941176471
+2016-08-24 18:22:49,740 DEBUG: Best view : Clinic
+2016-08-24 18:22:52,638 DEBUG: Start: Iteration 45
+2016-08-24 18:22:52,656 DEBUG: View 0 : 0.617647058824
+2016-08-24 18:22:52,665 DEBUG: View 1 : 0.594117647059
+2016-08-24 18:22:52,711 DEBUG: View 2 : 0.4
+2016-08-24 18:22:52,721 DEBUG: View 3 : 0.494117647059
+2016-08-24 18:22:52,900 DEBUG: Best view : MiRNA_
+2016-08-24 18:22:55,850 DEBUG: Start: Iteration 46
+2016-08-24 18:22:55,868 DEBUG: View 0 : 0.523529411765
+2016-08-24 18:22:55,877 DEBUG: View 1 : 0.517647058824
+2016-08-24 18:22:55,922 DEBUG: View 2 : 0.505882352941
+2016-08-24 18:22:55,931 DEBUG: View 3 : 0.341176470588
+2016-08-24 18:22:56,113 DEBUG: Best view : MiRNA_
+2016-08-24 18:22:59,129 DEBUG: Start: Iteration 47
+2016-08-24 18:22:59,147 DEBUG: View 0 : 0.4
+2016-08-24 18:22:59,156 DEBUG: View 1 : 0.317647058824
+2016-08-24 18:22:59,199 DEBUG: View 2 : 0.676470588235
+2016-08-24 18:22:59,209 DEBUG: View 3 : 0.629411764706
+2016-08-24 18:22:59,393 DEBUG: Best view : RANSeq
+2016-08-24 18:23:02,489 DEBUG: Start: Iteration 48
+2016-08-24 18:23:02,507 DEBUG: View 0 : 0.5
+2016-08-24 18:23:02,516 DEBUG: View 1 : 0.276470588235
+2016-08-24 18:23:02,561 DEBUG: View 2 : 0.423529411765
+2016-08-24 18:23:02,570 DEBUG: View 3 : 0.629411764706
+2016-08-24 18:23:02,758 DEBUG: Best view : Clinic
+2016-08-24 18:23:05,934 DEBUG: Start: Iteration 49
+2016-08-24 18:23:05,952 DEBUG: View 0 : 0.541176470588
+2016-08-24 18:23:05,960 DEBUG: View 1 : 0.552941176471
+2016-08-24 18:23:06,005 DEBUG: View 2 : 0.635294117647
+2016-08-24 18:23:06,014 DEBUG: View 3 : 0.558823529412
+2016-08-24 18:23:06,204 DEBUG: Best view : RANSeq
+2016-08-24 18:23:09,451 DEBUG: Start: Iteration 50
+2016-08-24 18:23:09,469 DEBUG: View 0 : 0.652941176471
+2016-08-24 18:23:09,478 DEBUG: View 1 : 0.535294117647
+2016-08-24 18:23:09,523 DEBUG: View 2 : 0.576470588235
+2016-08-24 18:23:09,532 DEBUG: View 3 : 0.505882352941
+2016-08-24 18:23:09,725 DEBUG: Best view : Methyl
+2016-08-24 18:23:13,028 DEBUG: Start: Iteration 51
+2016-08-24 18:23:13,046 DEBUG: View 0 : 0.588235294118
+2016-08-24 18:23:13,055 DEBUG: View 1 : 0.717647058824
+2016-08-24 18:23:13,100 DEBUG: View 2 : 0.447058823529
+2016-08-24 18:23:13,109 DEBUG: View 3 : 0.352941176471
+2016-08-24 18:23:13,306 DEBUG: Best view : MiRNA_
+2016-08-24 18:23:16,677 DEBUG: Start: Iteration 52
+2016-08-24 18:23:16,695 DEBUG: View 0 : 0.558823529412
+2016-08-24 18:23:16,704 DEBUG: View 1 : 0.3
+2016-08-24 18:23:16,748 DEBUG: View 2 : 0.641176470588
+2016-08-24 18:23:16,757 DEBUG: View 3 : 0.405882352941
+2016-08-24 18:23:16,955 DEBUG: Best view : RANSeq
+2016-08-24 18:23:20,393 DEBUG: Start: Iteration 53
+2016-08-24 18:23:20,411 DEBUG: View 0 : 0.582352941176
+2016-08-24 18:23:20,420 DEBUG: View 1 : 0.435294117647
+2016-08-24 18:23:20,464 DEBUG: View 2 : 0.447058823529
+2016-08-24 18:23:20,474 DEBUG: View 3 : 0.611764705882
+2016-08-24 18:23:20,674 DEBUG: Best view : Clinic
+2016-08-24 18:23:24,172 DEBUG: Start: Iteration 54
+2016-08-24 18:23:24,190 DEBUG: View 0 : 0.582352941176
+2016-08-24 18:23:24,199 DEBUG: View 1 : 0.582352941176
+2016-08-24 18:23:24,243 DEBUG: View 2 : 0.558823529412
+2016-08-24 18:23:24,252 DEBUG: View 3 : 0.447058823529
+2016-08-24 18:23:24,456 DEBUG: Best view : MiRNA_
+2016-08-24 18:23:28,019 DEBUG: Start: Iteration 55
+2016-08-24 18:23:28,037 DEBUG: View 0 : 0.376470588235
+2016-08-24 18:23:28,046 DEBUG: View 1 : 0.7
+2016-08-24 18:23:28,090 DEBUG: View 2 : 0.347058823529
+2016-08-24 18:23:28,099 DEBUG: View 3 : 0.335294117647
+2016-08-24 18:23:28,304 DEBUG: Best view : MiRNA_
+2016-08-24 18:23:31,929 DEBUG: Start: Iteration 56
+2016-08-24 18:23:31,948 DEBUG: View 0 : 0.723529411765
+2016-08-24 18:23:31,956 DEBUG: View 1 : 0.664705882353
+2016-08-24 18:23:32,001 DEBUG: View 2 : 0.617647058824
+2016-08-24 18:23:32,010 DEBUG: View 3 : 0.482352941176
+2016-08-24 18:23:32,222 DEBUG: Best view : Methyl
+2016-08-24 18:23:35,915 DEBUG: Start: Iteration 57
+2016-08-24 18:23:35,933 DEBUG: View 0 : 0.494117647059
+2016-08-24 18:23:35,942 DEBUG: View 1 : 0.276470588235
+2016-08-24 18:23:35,986 DEBUG: View 2 : 0.664705882353
+2016-08-24 18:23:35,995 DEBUG: View 3 : 0.364705882353
+2016-08-24 18:23:36,206 DEBUG: Best view : RANSeq
+2016-08-24 18:23:39,969 DEBUG: Start: Iteration 58
+2016-08-24 18:23:39,986 DEBUG: View 0 : 0.664705882353
+2016-08-24 18:23:39,995 DEBUG: View 1 : 0.694117647059
+2016-08-24 18:23:40,039 DEBUG: View 2 : 0.547058823529
+2016-08-24 18:23:40,049 DEBUG: View 3 : 0.494117647059
+2016-08-24 18:23:40,262 DEBUG: Best view : MiRNA_
+2016-08-24 18:23:44,087 DEBUG: Start: Iteration 59
+2016-08-24 18:23:44,105 DEBUG: View 0 : 0.6
+2016-08-24 18:23:44,114 DEBUG: View 1 : 0.647058823529
+2016-08-24 18:23:44,157 DEBUG: View 2 : 0.417647058824
+2016-08-24 18:23:44,167 DEBUG: View 3 : 0.505882352941
+2016-08-24 18:23:44,385 DEBUG: Best view : MiRNA_
+2016-08-24 18:23:48,264 DEBUG: Start: Iteration 60
+2016-08-24 18:23:48,282 DEBUG: View 0 : 0.694117647059
+2016-08-24 18:23:48,291 DEBUG: View 1 : 0.717647058824
+2016-08-24 18:23:48,335 DEBUG: View 2 : 0.388235294118
+2016-08-24 18:23:48,345 DEBUG: View 3 : 0.452941176471
+2016-08-24 18:23:48,563 DEBUG: Best view : MiRNA_
+2016-08-24 18:23:52,500 DEBUG: Start: Iteration 61
+2016-08-24 18:23:52,519 DEBUG: View 0 : 0.405882352941
+2016-08-24 18:23:52,527 DEBUG: View 1 : 0.723529411765
+2016-08-24 18:23:52,571 DEBUG: View 2 : 0.635294117647
+2016-08-24 18:23:52,581 DEBUG: View 3 : 0.429411764706
+2016-08-24 18:23:52,802 DEBUG: Best view : MiRNA_
+2016-08-24 18:23:56,808 DEBUG: Start: Iteration 62
+2016-08-24 18:23:56,826 DEBUG: View 0 : 0.447058823529
+2016-08-24 18:23:56,835 DEBUG: View 1 : 0.276470588235
+2016-08-24 18:23:56,880 DEBUG: View 2 : 0.347058823529
+2016-08-24 18:23:56,889 DEBUG: View 3 : 0.664705882353
+2016-08-24 18:23:57,113 DEBUG: Best view : Clinic
+2016-08-24 18:24:01,185 DEBUG: Start: Iteration 63
+2016-08-24 18:24:01,204 DEBUG: View 0 : 0.311764705882
+2016-08-24 18:24:01,212 DEBUG: View 1 : 0.505882352941
+2016-08-24 18:24:01,262 DEBUG: View 2 : 0.682352941176
+2016-08-24 18:24:01,272 DEBUG: View 3 : 0.623529411765
+2016-08-24 18:24:01,500 DEBUG: Best view : RANSeq
+2016-08-24 18:24:05,641 DEBUG: Start: Iteration 64
+2016-08-24 18:24:05,659 DEBUG: View 0 : 0.470588235294
+2016-08-24 18:24:05,668 DEBUG: View 1 : 0.747058823529
+2016-08-24 18:24:05,725 DEBUG: View 2 : 0.376470588235
+2016-08-24 18:24:05,735 DEBUG: View 3 : 0.335294117647
+2016-08-24 18:24:05,965 DEBUG: Best view : MiRNA_
+2016-08-24 18:24:10,165 DEBUG: Start: Iteration 65
+2016-08-24 18:24:10,183 DEBUG: View 0 : 0.529411764706
+2016-08-24 18:24:10,191 DEBUG: View 1 : 0.394117647059
+2016-08-24 18:24:10,235 DEBUG: View 2 : 0.317647058824
+2016-08-24 18:24:10,243 DEBUG: View 3 : 0.358823529412
+2016-08-24 18:24:10,476 DEBUG: Best view : Methyl
+2016-08-24 18:24:14,752 DEBUG: Start: Iteration 66
+2016-08-24 18:24:14,770 DEBUG: View 0 : 0.558823529412
+2016-08-24 18:24:14,779 DEBUG: View 1 : 0.282352941176
+2016-08-24 18:24:14,822 DEBUG: View 2 : 0.717647058824
+2016-08-24 18:24:14,831 DEBUG: View 3 : 0.552941176471
+2016-08-24 18:24:15,066 DEBUG: Best view : RANSeq
+2016-08-24 18:24:19,408 DEBUG: Start: Iteration 67
+2016-08-24 18:24:19,426 DEBUG: View 0 : 0.711764705882
+2016-08-24 18:24:19,434 DEBUG: View 1 : 0.670588235294
+2016-08-24 18:24:19,478 DEBUG: View 2 : 0.652941176471
+2016-08-24 18:24:19,487 DEBUG: View 3 : 0.694117647059
+2016-08-24 18:24:19,724 DEBUG: Best view : Methyl
+2016-08-24 18:24:24,139 DEBUG: Start: Iteration 68
+2016-08-24 18:24:24,157 DEBUG: View 0 : 0.652941176471
+2016-08-24 18:24:24,166 DEBUG: View 1 : 0.564705882353
+2016-08-24 18:24:24,208 DEBUG: View 2 : 0.482352941176
+2016-08-24 18:24:24,218 DEBUG: View 3 : 0.317647058824
+2016-08-24 18:24:24,458 DEBUG: Best view : Methyl
+2016-08-24 18:24:28,936 DEBUG: Start: Iteration 69
+2016-08-24 18:24:28,954 DEBUG: View 0 : 0.7
+2016-08-24 18:24:28,963 DEBUG: View 1 : 0.594117647059
+2016-08-24 18:24:29,006 DEBUG: View 2 : 0.364705882353
+2016-08-24 18:24:29,015 DEBUG: View 3 : 0.623529411765
+2016-08-24 18:24:29,258 DEBUG: Best view : Methyl
+2016-08-24 18:24:33,795 DEBUG: Start: Iteration 70
+2016-08-24 18:24:33,813 DEBUG: View 0 : 0.411764705882
+2016-08-24 18:24:33,822 DEBUG: View 1 : 0.252941176471
+2016-08-24 18:24:33,865 DEBUG: View 2 : 0.688235294118
+2016-08-24 18:24:33,874 DEBUG: View 3 : 0.523529411765
+2016-08-24 18:24:34,123 DEBUG: Best view : RANSeq
+2016-08-24 18:24:38,728 DEBUG: Start: Iteration 71
+2016-08-24 18:24:38,747 DEBUG: View 0 : 0.417647058824
+2016-08-24 18:24:38,755 DEBUG: View 1 : 0.182352941176
+2016-08-24 18:24:38,798 DEBUG: View 2 : 0.382352941176
+2016-08-24 18:24:38,807 DEBUG: View 3 : 0.670588235294
+2016-08-24 18:24:39,054 DEBUG: Best view : Clinic
+2016-08-24 18:24:43,741 DEBUG: Start: Iteration 72
+2016-08-24 18:24:43,759 DEBUG: View 0 : 0.488235294118
+2016-08-24 18:24:43,768 DEBUG: View 1 : 0.6
+2016-08-24 18:24:43,811 DEBUG: View 2 : 0.635294117647
+2016-08-24 18:24:43,820 DEBUG: View 3 : 0.335294117647
+2016-08-24 18:24:44,072 DEBUG: Best view : MiRNA_
+2016-08-24 18:24:48,813 DEBUG: Start: Iteration 73
+2016-08-24 18:24:48,832 DEBUG: View 0 : 0.647058823529
+2016-08-24 18:24:48,841 DEBUG: View 1 : 0.741176470588
+2016-08-24 18:24:48,884 DEBUG: View 2 : 0.5
+2016-08-24 18:24:48,893 DEBUG: View 3 : 0.611764705882
+2016-08-24 18:24:49,147 DEBUG: Best view : MiRNA_
+2016-08-24 18:24:53,947 DEBUG: Start: Iteration 74
+2016-08-24 18:24:53,965 DEBUG: View 0 : 0.435294117647
+2016-08-24 18:24:53,974 DEBUG: View 1 : 0.758823529412
+2016-08-24 18:24:54,017 DEBUG: View 2 : 0.341176470588
+2016-08-24 18:24:54,026 DEBUG: View 3 : 0.605882352941
+2016-08-24 18:24:54,283 DEBUG: Best view : MiRNA_
+2016-08-24 18:24:59,144 DEBUG: Start: Iteration 75
+2016-08-24 18:24:59,162 DEBUG: View 0 : 0.688235294118
+2016-08-24 18:24:59,171 DEBUG: View 1 : 0.635294117647
+2016-08-24 18:24:59,214 DEBUG: View 2 : 0.347058823529
+2016-08-24 18:24:59,223 DEBUG: View 3 : 0.441176470588
+2016-08-24 18:24:59,483 DEBUG: Best view : Methyl
+2016-08-24 18:25:04,412 DEBUG: Start: Iteration 76
+2016-08-24 18:25:04,430 DEBUG: View 0 : 0.311764705882
+2016-08-24 18:25:04,439 DEBUG: View 1 : 0.429411764706
+2016-08-24 18:25:04,481 DEBUG: View 2 : 0.576470588235
+2016-08-24 18:25:04,491 DEBUG: View 3 : 0.370588235294
+2016-08-24 18:25:04,754 DEBUG: Best view : RANSeq
+2016-08-24 18:25:09,764 DEBUG: Start: Iteration 77
+2016-08-24 18:25:09,782 DEBUG: View 0 : 0.588235294118
+2016-08-24 18:25:09,791 DEBUG: View 1 : 0.488235294118
+2016-08-24 18:25:09,834 DEBUG: View 2 : 0.505882352941
+2016-08-24 18:25:09,843 DEBUG: View 3 : 0.347058823529
+2016-08-24 18:25:10,108 DEBUG: Best view : Methyl
+2016-08-24 18:25:15,175 DEBUG: Start: Iteration 78
+2016-08-24 18:25:15,193 DEBUG: View 0 : 0.488235294118
+2016-08-24 18:25:15,202 DEBUG: View 1 : 0.311764705882
+2016-08-24 18:25:15,245 DEBUG: View 2 : 0.382352941176
+2016-08-24 18:25:15,255 DEBUG: View 3 : 0.370588235294
+2016-08-24 18:25:15,255 WARNING: WARNING: All bad for iteration 77
+2016-08-24 18:25:15,523 DEBUG: Best view : Methyl
+2016-08-24 18:25:20,661 DEBUG: Start: Iteration 79
+2016-08-24 18:25:20,679 DEBUG: View 0 : 0.588235294118
+2016-08-24 18:25:20,688 DEBUG: View 1 : 0.547058823529
+2016-08-24 18:25:20,731 DEBUG: View 2 : 0.417647058824
+2016-08-24 18:25:20,740 DEBUG: View 3 : 0.676470588235
+2016-08-24 18:25:21,015 DEBUG: Best view : Clinic
+2016-08-24 18:25:26,211 DEBUG: Start: Iteration 80
+2016-08-24 18:25:26,229 DEBUG: View 0 : 0.623529411765
+2016-08-24 18:25:26,238 DEBUG: View 1 : 0.794117647059
+2016-08-24 18:25:26,281 DEBUG: View 2 : 0.405882352941
+2016-08-24 18:25:26,290 DEBUG: View 3 : 0.494117647059
+2016-08-24 18:25:26,562 DEBUG: Best view : MiRNA_
+2016-08-24 18:25:31,816 DEBUG: Start: Iteration 81
+2016-08-24 18:25:31,834 DEBUG: View 0 : 0.317647058824
+2016-08-24 18:25:31,843 DEBUG: View 1 : 0.717647058824
+2016-08-24 18:25:31,886 DEBUG: View 2 : 0.6
+2016-08-24 18:25:31,895 DEBUG: View 3 : 0.6
+2016-08-24 18:25:32,172 DEBUG: Best view : MiRNA_
+2016-08-24 18:25:37,499 DEBUG: Start: Iteration 82
+2016-08-24 18:25:37,517 DEBUG: View 0 : 0.352941176471
+2016-08-24 18:25:37,526 DEBUG: View 1 : 0.476470588235
+2016-08-24 18:25:37,569 DEBUG: View 2 : 0.352941176471
+2016-08-24 18:25:37,579 DEBUG: View 3 : 0.494117647059
+2016-08-24 18:25:37,579 WARNING: WARNING: All bad for iteration 81
+2016-08-24 18:25:37,859 DEBUG: Best view : Clinic
+2016-08-24 18:25:43,231 DEBUG: Start: Iteration 83
+2016-08-24 18:25:43,249 DEBUG: View 0 : 0.364705882353
+2016-08-24 18:25:43,258 DEBUG: View 1 : 0.558823529412
+2016-08-24 18:25:43,302 DEBUG: View 2 : 0.541176470588
+2016-08-24 18:25:43,311 DEBUG: View 3 : 0.611764705882
+2016-08-24 18:25:43,596 DEBUG: Best view : Clinic
+2016-08-24 18:25:49,029 DEBUG: Start: Iteration 84
+2016-08-24 18:25:49,047 DEBUG: View 0 : 0.723529411765
+2016-08-24 18:25:49,056 DEBUG: View 1 : 0.323529411765
+2016-08-24 18:25:49,099 DEBUG: View 2 : 0.464705882353
+2016-08-24 18:25:49,108 DEBUG: View 3 : 0.694117647059
+2016-08-24 18:25:49,391 DEBUG: Best view : Methyl
+2016-08-24 18:25:54,890 DEBUG: Start: Iteration 85
+2016-08-24 18:25:54,908 DEBUG: View 0 : 0.241176470588
+2016-08-24 18:25:54,917 DEBUG: View 1 : 0.576470588235
+2016-08-24 18:25:54,960 DEBUG: View 2 : 0.564705882353
+2016-08-24 18:25:54,969 DEBUG: View 3 : 0.558823529412
+2016-08-24 18:25:55,257 DEBUG: Best view : MiRNA_
+2016-08-24 18:26:00,833 DEBUG: Start: Iteration 86
+2016-08-24 18:26:00,851 DEBUG: View 0 : 0.594117647059
+2016-08-24 18:26:00,860 DEBUG: View 1 : 0.623529411765
+2016-08-24 18:26:00,903 DEBUG: View 2 : 0.652941176471
+2016-08-24 18:26:00,912 DEBUG: View 3 : 0.370588235294
+2016-08-24 18:26:01,203 DEBUG: Best view : MiRNA_
+2016-08-24 18:26:06,831 DEBUG: Start: Iteration 87
+2016-08-24 18:26:06,849 DEBUG: View 0 : 0.482352941176
+2016-08-24 18:26:06,858 DEBUG: View 1 : 0.729411764706
+2016-08-24 18:26:06,902 DEBUG: View 2 : 0.423529411765
+2016-08-24 18:26:06,911 DEBUG: View 3 : 0.564705882353
+2016-08-24 18:26:07,206 DEBUG: Best view : MiRNA_
+2016-08-24 18:26:12,928 DEBUG: Start: Iteration 88
+2016-08-24 18:26:12,946 DEBUG: View 0 : 0.464705882353
+2016-08-24 18:26:12,955 DEBUG: View 1 : 0.711764705882
+2016-08-24 18:26:12,998 DEBUG: View 2 : 0.535294117647
+2016-08-24 18:26:13,007 DEBUG: View 3 : 0.305882352941
+2016-08-24 18:26:13,304 DEBUG: Best view : MiRNA_
+2016-08-24 18:26:19,079 DEBUG: Start: Iteration 89
+2016-08-24 18:26:19,097 DEBUG: View 0 : 0.652941176471
+2016-08-24 18:26:19,106 DEBUG: View 1 : 0.364705882353
+2016-08-24 18:26:19,149 DEBUG: View 2 : 0.588235294118
+2016-08-24 18:26:19,159 DEBUG: View 3 : 0.523529411765
+2016-08-24 18:26:19,459 DEBUG: Best view : Methyl
+2016-08-24 18:26:25,291 DEBUG: Start: Iteration 90
+2016-08-24 18:26:25,308 DEBUG: View 0 : 0.564705882353
+2016-08-24 18:26:25,317 DEBUG: View 1 : 0.688235294118
+2016-08-24 18:26:25,360 DEBUG: View 2 : 0.488235294118
+2016-08-24 18:26:25,369 DEBUG: View 3 : 0.664705882353
+2016-08-24 18:26:25,672 DEBUG: Best view : MiRNA_
+2016-08-24 18:26:31,570 DEBUG: Start: Iteration 91
+2016-08-24 18:26:31,588 DEBUG: View 0 : 0.576470588235
+2016-08-24 18:26:31,597 DEBUG: View 1 : 0.570588235294
+2016-08-24 18:26:31,640 DEBUG: View 2 : 0.523529411765
+2016-08-24 18:26:31,649 DEBUG: View 3 : 0.7
+2016-08-24 18:26:31,957 DEBUG: Best view : Clinic
+2016-08-24 18:26:37,897 DEBUG: Start: Iteration 92
+2016-08-24 18:26:37,915 DEBUG: View 0 : 0.705882352941
+2016-08-24 18:26:37,924 DEBUG: View 1 : 0.417647058824
+2016-08-24 18:26:37,968 DEBUG: View 2 : 0.623529411765
+2016-08-24 18:26:37,977 DEBUG: View 3 : 0.323529411765
+2016-08-24 18:26:38,289 DEBUG: Best view : Methyl
+2016-08-24 18:26:44,367 DEBUG: Start: Iteration 93
+2016-08-24 18:26:44,385 DEBUG: View 0 : 0.541176470588
+2016-08-24 18:26:44,394 DEBUG: View 1 : 0.711764705882
+2016-08-24 18:26:44,437 DEBUG: View 2 : 0.341176470588
+2016-08-24 18:26:44,446 DEBUG: View 3 : 0.352941176471
+2016-08-24 18:26:44,756 DEBUG: Best view : MiRNA_
+2016-08-24 18:26:50,828 DEBUG: Start: Iteration 94
+2016-08-24 18:26:50,846 DEBUG: View 0 : 0.711764705882
+2016-08-24 18:26:50,855 DEBUG: View 1 : 0.452941176471
+2016-08-24 18:26:50,898 DEBUG: View 2 : 0.582352941176
+2016-08-24 18:26:50,907 DEBUG: View 3 : 0.447058823529
+2016-08-24 18:26:51,219 DEBUG: Best view : Methyl
+2016-08-24 18:26:57,341 DEBUG: Start: Iteration 95
+2016-08-24 18:26:57,358 DEBUG: View 0 : 0.447058823529
+2016-08-24 18:26:57,367 DEBUG: View 1 : 0.717647058824
+2016-08-24 18:26:57,410 DEBUG: View 2 : 0.470588235294
+2016-08-24 18:26:57,419 DEBUG: View 3 : 0.588235294118
+2016-08-24 18:26:57,736 DEBUG: Best view : MiRNA_
+2016-08-24 18:27:03,927 DEBUG: Start: Iteration 96
+2016-08-24 18:27:03,945 DEBUG: View 0 : 0.558823529412
+2016-08-24 18:27:03,953 DEBUG: View 1 : 0.617647058824
+2016-08-24 18:27:03,996 DEBUG: View 2 : 0.588235294118
+2016-08-24 18:27:04,005 DEBUG: View 3 : 0.364705882353
+2016-08-24 18:27:04,321 DEBUG: Best view : MiRNA_
+2016-08-24 18:27:10,595 DEBUG: Start: Iteration 97
+2016-08-24 18:27:10,613 DEBUG: View 0 : 0.417647058824
+2016-08-24 18:27:10,622 DEBUG: View 1 : 0.458823529412
+2016-08-24 18:27:10,665 DEBUG: View 2 : 0.535294117647
+2016-08-24 18:27:10,674 DEBUG: View 3 : 0.523529411765
+2016-08-24 18:27:10,993 DEBUG: Best view : RANSeq
+2016-08-24 18:27:17,333 DEBUG: Start: Iteration 98
+2016-08-24 18:27:17,351 DEBUG: View 0 : 0.4
+2016-08-24 18:27:17,360 DEBUG: View 1 : 0.676470588235
+2016-08-24 18:27:17,403 DEBUG: View 2 : 0.447058823529
+2016-08-24 18:27:17,412 DEBUG: View 3 : 0.594117647059
+2016-08-24 18:27:17,735 DEBUG: Best view : MiRNA_
+2016-08-24 18:27:24,115 DEBUG: Start: Iteration 99
+2016-08-24 18:27:24,133 DEBUG: View 0 : 0.758823529412
+2016-08-24 18:27:24,141 DEBUG: View 1 : 0.705882352941
+2016-08-24 18:27:24,184 DEBUG: View 2 : 0.511764705882
+2016-08-24 18:27:24,194 DEBUG: View 3 : 0.405882352941
+2016-08-24 18:27:24,521 DEBUG: Best view : Methyl
+2016-08-24 18:27:30,977 DEBUG: Start: Iteration 100
+2016-08-24 18:27:30,995 DEBUG: View 0 : 0.594117647059
+2016-08-24 18:27:31,004 DEBUG: View 1 : 0.352941176471
+2016-08-24 18:27:31,047 DEBUG: View 2 : 0.5
+2016-08-24 18:27:31,057 DEBUG: View 3 : 0.494117647059
+2016-08-24 18:27:31,383 DEBUG: Best view : Methyl
+2016-08-24 18:27:37,894 DEBUG: Start: Iteration 101
+2016-08-24 18:27:37,912 DEBUG: View 0 : 0.423529411765
+2016-08-24 18:27:37,921 DEBUG: View 1 : 0.4
+2016-08-24 18:27:37,963 DEBUG: View 2 : 0.364705882353
+2016-08-24 18:27:37,972 DEBUG: View 3 : 0.7
+2016-08-24 18:27:38,304 DEBUG: Best view : Clinic
+2016-08-24 18:27:44,875 DEBUG: Start: Iteration 102
+2016-08-24 18:27:44,893 DEBUG: View 0 : 0.641176470588
+2016-08-24 18:27:44,902 DEBUG: View 1 : 0.405882352941
+2016-08-24 18:27:44,945 DEBUG: View 2 : 0.417647058824
+2016-08-24 18:27:44,955 DEBUG: View 3 : 0.705882352941
+2016-08-24 18:27:45,288 DEBUG: Best view : Clinic
+2016-08-24 18:27:51,962 DEBUG: Start: Iteration 103
+2016-08-24 18:27:51,980 DEBUG: View 0 : 0.329411764706
+2016-08-24 18:27:51,989 DEBUG: View 1 : 0.405882352941
+2016-08-24 18:27:52,032 DEBUG: View 2 : 0.517647058824
+2016-08-24 18:27:52,041 DEBUG: View 3 : 0.652941176471
+2016-08-24 18:27:52,380 DEBUG: Best view : Clinic
+2016-08-24 18:27:59,071 DEBUG: Start: Iteration 104
+2016-08-24 18:27:59,089 DEBUG: View 0 : 0.664705882353
+2016-08-24 18:27:59,097 DEBUG: View 1 : 0.358823529412
+2016-08-24 18:27:59,141 DEBUG: View 2 : 0.564705882353
+2016-08-24 18:27:59,150 DEBUG: View 3 : 0.441176470588
+2016-08-24 18:27:59,493 DEBUG: Best view : Methyl
+2016-08-24 18:28:06,252 DEBUG: Start: Iteration 105
+2016-08-24 18:28:06,270 DEBUG: View 0 : 0.670588235294
+2016-08-24 18:28:06,279 DEBUG: View 1 : 0.729411764706
+2016-08-24 18:28:06,322 DEBUG: View 2 : 0.517647058824
+2016-08-24 18:28:06,331 DEBUG: View 3 : 0.329411764706
+2016-08-24 18:28:06,674 DEBUG: Best view : MiRNA_
+2016-08-24 18:28:13,516 DEBUG: Start: Iteration 106
+2016-08-24 18:28:13,534 DEBUG: View 0 : 0.635294117647
+2016-08-24 18:28:13,543 DEBUG: View 1 : 0.711764705882
+2016-08-24 18:28:13,585 DEBUG: View 2 : 0.570588235294
+2016-08-24 18:28:13,595 DEBUG: View 3 : 0.705882352941
+2016-08-24 18:28:13,942 DEBUG: Best view : MiRNA_
+2016-08-24 18:28:20,856 DEBUG: Start: Iteration 107
+2016-08-24 18:28:20,874 DEBUG: View 0 : 0.558823529412
+2016-08-24 18:28:20,882 DEBUG: View 1 : 0.582352941176
+2016-08-24 18:28:20,925 DEBUG: View 2 : 0.405882352941
+2016-08-24 18:28:20,935 DEBUG: View 3 : 0.635294117647
+2016-08-24 18:28:21,281 DEBUG: Best view : Clinic
+2016-08-24 18:28:28,241 DEBUG: Start: Iteration 108
+2016-08-24 18:28:28,259 DEBUG: View 0 : 0.558823529412
+2016-08-24 18:28:28,268 DEBUG: View 1 : 0.335294117647
+2016-08-24 18:28:28,311 DEBUG: View 2 : 0.382352941176
+2016-08-24 18:28:28,320 DEBUG: View 3 : 0.505882352941
+2016-08-24 18:28:28,672 DEBUG: Best view : Methyl
+2016-08-24 18:28:35,692 DEBUG: Start: Iteration 109
+2016-08-24 18:28:35,711 DEBUG: View 0 : 0.658823529412
+2016-08-24 18:28:35,720 DEBUG: View 1 : 0.770588235294
+2016-08-24 18:28:35,763 DEBUG: View 2 : 0.658823529412
+2016-08-24 18:28:35,772 DEBUG: View 3 : 0.682352941176
+2016-08-24 18:28:36,126 DEBUG: Best view : MiRNA_
+2016-08-24 18:28:43,207 DEBUG: Start: Iteration 110
+2016-08-24 18:28:43,225 DEBUG: View 0 : 0.564705882353
+2016-08-24 18:28:43,234 DEBUG: View 1 : 0.741176470588
+2016-08-24 18:28:43,278 DEBUG: View 2 : 0.388235294118
+2016-08-24 18:28:43,287 DEBUG: View 3 : 0.411764705882
+2016-08-24 18:28:43,645 DEBUG: Best view : MiRNA_
+2016-08-24 18:28:50,781 DEBUG: Start: Iteration 111
+2016-08-24 18:28:50,800 DEBUG: View 0 : 0.529411764706
+2016-08-24 18:28:50,808 DEBUG: View 1 : 0.352941176471
+2016-08-24 18:28:50,852 DEBUG: View 2 : 0.594117647059
+2016-08-24 18:28:50,861 DEBUG: View 3 : 0.629411764706
+2016-08-24 18:28:51,220 DEBUG: Best view : Clinic
+2016-08-24 18:28:58,428 DEBUG: Start: Iteration 112
+2016-08-24 18:28:58,447 DEBUG: View 0 : 0.752941176471
+2016-08-24 18:28:58,456 DEBUG: View 1 : 0.376470588235
+2016-08-24 18:28:58,501 DEBUG: View 2 : 0.335294117647
+2016-08-24 18:28:58,510 DEBUG: View 3 : 0.364705882353
+2016-08-24 18:28:58,876 DEBUG: Best view : Methyl
+2016-08-24 18:29:06,152 DEBUG: Start: Iteration 113
+2016-08-24 18:29:06,170 DEBUG: View 0 : 0.605882352941
+2016-08-24 18:29:06,179 DEBUG: View 1 : 0.235294117647
+2016-08-24 18:29:06,222 DEBUG: View 2 : 0.552941176471
+2016-08-24 18:29:06,232 DEBUG: View 3 : 0.352941176471
+2016-08-24 18:29:06,601 DEBUG: Best view : Methyl
+2016-08-24 18:29:13,952 DEBUG: Start: Iteration 114
+2016-08-24 18:29:13,971 DEBUG: View 0 : 0.317647058824
+2016-08-24 18:29:13,979 DEBUG: View 1 : 0.682352941176
+2016-08-24 18:29:14,022 DEBUG: View 2 : 0.605882352941
+2016-08-24 18:29:14,032 DEBUG: View 3 : 0.452941176471
+2016-08-24 18:29:14,399 DEBUG: Best view : MiRNA_
+2016-08-24 18:29:21,825 DEBUG: Start: Iteration 115
+2016-08-24 18:29:21,843 DEBUG: View 0 : 0.488235294118
+2016-08-24 18:29:21,851 DEBUG: View 1 : 0.7
+2016-08-24 18:29:21,895 DEBUG: View 2 : 0.464705882353
+2016-08-24 18:29:21,904 DEBUG: View 3 : 0.470588235294
+2016-08-24 18:29:22,273 DEBUG: Best view : MiRNA_
+2016-08-24 18:29:29,733 DEBUG: Start: Iteration 116
+2016-08-24 18:29:29,751 DEBUG: View 0 : 0.352941176471
+2016-08-24 18:29:29,760 DEBUG: View 1 : 0.3
+2016-08-24 18:29:29,803 DEBUG: View 2 : 0.576470588235
+2016-08-24 18:29:29,812 DEBUG: View 3 : 0.641176470588
+2016-08-24 18:29:30,188 DEBUG: Best view : Clinic
+2016-08-24 18:29:37,713 DEBUG: Start: Iteration 117
+2016-08-24 18:29:37,731 DEBUG: View 0 : 0.411764705882
+2016-08-24 18:29:37,740 DEBUG: View 1 : 0.588235294118
+2016-08-24 18:29:37,783 DEBUG: View 2 : 0.370588235294
+2016-08-24 18:29:37,793 DEBUG: View 3 : 0.664705882353
+2016-08-24 18:29:38,167 DEBUG: Best view : Clinic
+2016-08-24 18:29:45,747 DEBUG: Start: Iteration 118
+2016-08-24 18:29:45,765 DEBUG: View 0 : 0.4
+2016-08-24 18:29:45,774 DEBUG: View 1 : 0.376470588235
+2016-08-24 18:29:45,818 DEBUG: View 2 : 0.558823529412
+2016-08-24 18:29:45,827 DEBUG: View 3 : 0.494117647059
+2016-08-24 18:29:46,207 DEBUG: Best view : RANSeq
+2016-08-24 18:29:53,895 DEBUG: Start: Iteration 119
+2016-08-24 18:29:53,913 DEBUG: View 0 : 0.423529411765
+2016-08-24 18:29:53,921 DEBUG: View 1 : 0.452941176471
+2016-08-24 18:29:53,965 DEBUG: View 2 : 0.564705882353
+2016-08-24 18:29:53,974 DEBUG: View 3 : 0.505882352941
+2016-08-24 18:29:54,355 DEBUG: Best view : RANSeq
+2016-08-24 18:30:02,086 DEBUG: Start: Iteration 120
+2016-08-24 18:30:02,104 DEBUG: View 0 : 0.476470588235
+2016-08-24 18:30:02,113 DEBUG: View 1 : 0.382352941176
+2016-08-24 18:30:02,156 DEBUG: View 2 : 0.552941176471
+2016-08-24 18:30:02,165 DEBUG: View 3 : 0.670588235294
+2016-08-24 18:30:02,549 DEBUG: Best view : Clinic
+2016-08-24 18:30:10,374 DEBUG: Start: Iteration 121
+2016-08-24 18:30:10,392 DEBUG: View 0 : 0.635294117647
+2016-08-24 18:30:10,400 DEBUG: View 1 : 0.411764705882
+2016-08-24 18:30:10,447 DEBUG: View 2 : 0.6
+2016-08-24 18:30:10,457 DEBUG: View 3 : 0.664705882353
+2016-08-24 18:30:10,843 DEBUG: Best view : Methyl
+2016-08-24 18:30:18,709 DEBUG: Start: Iteration 122
+2016-08-24 18:30:18,727 DEBUG: View 0 : 0.658823529412
+2016-08-24 18:30:18,735 DEBUG: View 1 : 0.517647058824
+2016-08-24 18:30:18,780 DEBUG: View 2 : 0.611764705882
+2016-08-24 18:30:18,790 DEBUG: View 3 : 0.417647058824
+2016-08-24 18:30:19,179 DEBUG: Best view : Methyl
+2016-08-24 18:30:27,103 DEBUG: Start: Iteration 123
+2016-08-24 18:30:27,121 DEBUG: View 0 : 0.605882352941
+2016-08-24 18:30:27,130 DEBUG: View 1 : 0.270588235294
+2016-08-24 18:30:27,178 DEBUG: View 2 : 0.558823529412
+2016-08-24 18:30:27,188 DEBUG: View 3 : 0.347058823529
+2016-08-24 18:30:27,585 DEBUG: Best view : Methyl
+2016-08-24 18:30:35,579 DEBUG: Start: Iteration 124
+2016-08-24 18:30:35,597 DEBUG: View 0 : 0.376470588235
+2016-08-24 18:30:35,606 DEBUG: View 1 : 0.341176470588
+2016-08-24 18:30:35,657 DEBUG: View 2 : 0.464705882353
+2016-08-24 18:30:35,667 DEBUG: View 3 : 0.394117647059
+2016-08-24 18:30:35,667 WARNING: WARNING: All bad for iteration 123
+2016-08-24 18:30:36,059 DEBUG: Best view : RANSeq
+2016-08-24 18:30:44,137 DEBUG: Start: Iteration 125
+2016-08-24 18:30:44,156 DEBUG: View 0 : 0.5
+2016-08-24 18:30:44,164 DEBUG: View 1 : 0.588235294118
+2016-08-24 18:30:44,214 DEBUG: View 2 : 0.647058823529
+2016-08-24 18:30:44,225 DEBUG: View 3 : 0.694117647059
+2016-08-24 18:30:44,622 DEBUG: Best view : Clinic
+2016-08-24 18:30:52,748 DEBUG: Start: Iteration 126
+2016-08-24 18:30:52,766 DEBUG: View 0 : 0.335294117647
+2016-08-24 18:30:52,774 DEBUG: View 1 : 0.517647058824
+2016-08-24 18:30:52,825 DEBUG: View 2 : 0.458823529412
+2016-08-24 18:30:52,835 DEBUG: View 3 : 0.564705882353
+2016-08-24 18:30:53,239 DEBUG: Best view : Clinic
+2016-08-24 18:31:01,426 DEBUG: Start: Iteration 127
+2016-08-24 18:31:01,444 DEBUG: View 0 : 0.305882352941
+2016-08-24 18:31:01,453 DEBUG: View 1 : 0.664705882353
+2016-08-24 18:31:01,504 DEBUG: View 2 : 0.511764705882
+2016-08-24 18:31:01,514 DEBUG: View 3 : 0.570588235294
+2016-08-24 18:31:01,916 DEBUG: Best view : MiRNA_
+2016-08-24 18:31:10,193 DEBUG: Start: Iteration 128
+2016-08-24 18:31:10,211 DEBUG: View 0 : 0.423529411765
+2016-08-24 18:31:10,220 DEBUG: View 1 : 0.464705882353
+2016-08-24 18:31:10,270 DEBUG: View 2 : 0.694117647059
+2016-08-24 18:31:10,281 DEBUG: View 3 : 0.594117647059
+2016-08-24 18:31:10,687 DEBUG: Best view : RANSeq
+2016-08-24 18:31:19,022 DEBUG: Start: Iteration 129
+2016-08-24 18:31:19,040 DEBUG: View 0 : 0.411764705882
+2016-08-24 18:31:19,049 DEBUG: View 1 : 0.452941176471
+2016-08-24 18:31:19,100 DEBUG: View 2 : 0.441176470588
+2016-08-24 18:31:19,110 DEBUG: View 3 : 0.5
+2016-08-24 18:31:19,517 DEBUG: Best view : Clinic
+2016-08-24 18:31:27,932 DEBUG: Start: Iteration 130
+2016-08-24 18:31:27,950 DEBUG: View 0 : 0.694117647059
+2016-08-24 18:31:27,959 DEBUG: View 1 : 0.341176470588
+2016-08-24 18:31:28,009 DEBUG: View 2 : 0.470588235294
+2016-08-24 18:31:28,019 DEBUG: View 3 : 0.652941176471
+2016-08-24 18:31:28,430 DEBUG: Best view : Methyl
+2016-08-24 18:31:36,874 DEBUG: Start: Iteration 131
+2016-08-24 18:31:36,892 DEBUG: View 0 : 0.776470588235
+2016-08-24 18:31:36,902 DEBUG: View 1 : 0.705882352941
+2016-08-24 18:31:36,952 DEBUG: View 2 : 0.552941176471
+2016-08-24 18:31:36,963 DEBUG: View 3 : 0.476470588235
+2016-08-24 18:31:37,378 DEBUG: Best view : Methyl
+2016-08-24 18:31:45,890 DEBUG: Start: Iteration 132
+2016-08-24 18:31:45,908 DEBUG: View 0 : 0.382352941176
+2016-08-24 18:31:45,916 DEBUG: View 1 : 0.576470588235
+2016-08-24 18:31:45,966 DEBUG: View 2 : 0.582352941176
+2016-08-24 18:31:45,976 DEBUG: View 3 : 0.629411764706
+2016-08-24 18:31:46,393 DEBUG: Best view : Clinic
+2016-08-24 18:31:54,973 DEBUG: Start: Iteration 133
+2016-08-24 18:31:54,991 DEBUG: View 0 : 0.652941176471
+2016-08-24 18:31:55,000 DEBUG: View 1 : 0.552941176471
+2016-08-24 18:31:55,049 DEBUG: View 2 : 0.358823529412
+2016-08-24 18:31:55,059 DEBUG: View 3 : 0.458823529412
+2016-08-24 18:31:55,478 DEBUG: Best view : Methyl
+2016-08-24 18:32:04,109 DEBUG: Start: Iteration 134
+2016-08-24 18:32:04,127 DEBUG: View 0 : 0.576470588235
+2016-08-24 18:32:04,136 DEBUG: View 1 : 0.729411764706
+2016-08-24 18:32:04,186 DEBUG: View 2 : 0.476470588235
+2016-08-24 18:32:04,197 DEBUG: View 3 : 0.488235294118
+2016-08-24 18:32:04,620 DEBUG: Best view : MiRNA_
+2016-08-24 18:32:13,349 DEBUG: Start: Iteration 135
+2016-08-24 18:32:13,367 DEBUG: View 0 : 0.447058823529
+2016-08-24 18:32:13,375 DEBUG: View 1 : 0.782352941176
+2016-08-24 18:32:13,426 DEBUG: View 2 : 0.376470588235
+2016-08-24 18:32:13,436 DEBUG: View 3 : 0.376470588235
+2016-08-24 18:32:13,859 DEBUG: Best view : MiRNA_
+2016-08-24 18:32:22,664 DEBUG: Start: Iteration 136
+2016-08-24 18:32:22,682 DEBUG: View 0 : 0.482352941176
+2016-08-24 18:32:22,691 DEBUG: View 1 : 0.694117647059
+2016-08-24 18:32:22,742 DEBUG: View 2 : 0.582352941176
+2016-08-24 18:32:22,752 DEBUG: View 3 : 0.494117647059
+2016-08-24 18:32:23,181 DEBUG: Best view : MiRNA_
+2016-08-24 18:32:32,016 DEBUG: Start: Iteration 137
+2016-08-24 18:32:32,034 DEBUG: View 0 : 0.541176470588
+2016-08-24 18:32:32,043 DEBUG: View 1 : 0.452941176471
+2016-08-24 18:32:32,093 DEBUG: View 2 : 0.652941176471
+2016-08-24 18:32:32,103 DEBUG: View 3 : 0.588235294118
+2016-08-24 18:32:32,532 DEBUG: Best view : RANSeq
+2016-08-24 18:32:41,422 DEBUG: Start: Iteration 138
+2016-08-24 18:32:41,441 DEBUG: View 0 : 0.564705882353
+2016-08-24 18:32:41,449 DEBUG: View 1 : 0.705882352941
+2016-08-24 18:32:41,499 DEBUG: View 2 : 0.576470588235
+2016-08-24 18:32:41,510 DEBUG: View 3 : 0.458823529412
+2016-08-24 18:32:41,945 DEBUG: Best view : MiRNA_
+2016-08-24 18:32:50,900 DEBUG: Start: Iteration 139
+2016-08-24 18:32:50,919 DEBUG: View 0 : 0.641176470588
+2016-08-24 18:32:50,927 DEBUG: View 1 : 0.211764705882
+2016-08-24 18:32:50,973 DEBUG: View 2 : 0.635294117647
+2016-08-24 18:32:50,983 DEBUG: View 3 : 0.305882352941
+2016-08-24 18:32:51,420 DEBUG: Best view : Methyl
+2016-08-24 18:33:00,443 DEBUG: Start: Iteration 140
+2016-08-24 18:33:00,462 DEBUG: View 0 : 0.488235294118
+2016-08-24 18:33:00,470 DEBUG: View 1 : 0.588235294118
+2016-08-24 18:33:00,528 DEBUG: View 2 : 0.423529411765
+2016-08-24 18:33:00,538 DEBUG: View 3 : 0.341176470588
+2016-08-24 18:33:00,975 DEBUG: Best view : MiRNA_
+2016-08-24 18:33:10,052 DEBUG: Start: Iteration 141
+2016-08-24 18:33:10,070 DEBUG: View 0 : 0.729411764706
+2016-08-24 18:33:10,079 DEBUG: View 1 : 0.305882352941
+2016-08-24 18:33:10,127 DEBUG: View 2 : 0.629411764706
+2016-08-24 18:33:10,135 DEBUG: View 3 : 0.535294117647
+2016-08-24 18:33:10,578 DEBUG: Best view : Methyl
+2016-08-24 18:33:19,726 DEBUG: Start: Iteration 142
+2016-08-24 18:33:19,744 DEBUG: View 0 : 0.617647058824
+2016-08-24 18:33:19,752 DEBUG: View 1 : 0.558823529412
+2016-08-24 18:33:19,795 DEBUG: View 2 : 0.558823529412
+2016-08-24 18:33:19,804 DEBUG: View 3 : 0.711764705882
+2016-08-24 18:33:20,249 DEBUG: Best view : Clinic
+2016-08-24 18:33:29,476 DEBUG: Start: Iteration 143
+2016-08-24 18:33:29,494 DEBUG: View 0 : 0.535294117647
+2016-08-24 18:33:29,503 DEBUG: View 1 : 0.658823529412
+2016-08-24 18:33:29,542 DEBUG: View 2 : 0.464705882353
+2016-08-24 18:33:29,550 DEBUG: View 3 : 0.623529411765
+2016-08-24 18:33:29,997 DEBUG: Best view : MiRNA_
+2016-08-24 18:33:39,307 DEBUG: Start: Iteration 144
+2016-08-24 18:33:39,325 DEBUG: View 0 : 0.423529411765
+2016-08-24 18:33:39,334 DEBUG: View 1 : 0.476470588235
+2016-08-24 18:33:39,378 DEBUG: View 2 : 0.358823529412
+2016-08-24 18:33:39,387 DEBUG: View 3 : 0.376470588235
+2016-08-24 18:33:39,387 WARNING: WARNING: All bad for iteration 143
+2016-08-24 18:33:39,836 DEBUG: Best view : MiRNA_
+2016-08-24 18:33:49,236 DEBUG: Start: Iteration 145
+2016-08-24 18:33:49,254 DEBUG: View 0 : 0.4
+2016-08-24 18:33:49,262 DEBUG: View 1 : 0.641176470588
+2016-08-24 18:33:49,307 DEBUG: View 2 : 0.694117647059
+2016-08-24 18:33:49,316 DEBUG: View 3 : 0.676470588235
+2016-08-24 18:33:49,765 DEBUG: Best view : RANSeq
+2016-08-24 18:33:59,199 DEBUG: Start: Iteration 146
+2016-08-24 18:33:59,217 DEBUG: View 0 : 0.535294117647
+2016-08-24 18:33:59,226 DEBUG: View 1 : 0.694117647059
+2016-08-24 18:33:59,264 DEBUG: View 2 : 0.323529411765
+2016-08-24 18:33:59,273 DEBUG: View 3 : 0.476470588235
+2016-08-24 18:33:59,729 DEBUG: Best view : MiRNA_
+2016-08-24 18:34:09,200 DEBUG: Start: Iteration 147
+2016-08-24 18:34:09,218 DEBUG: View 0 : 0.652941176471
+2016-08-24 18:34:09,227 DEBUG: View 1 : 0.341176470588
+2016-08-24 18:34:09,268 DEBUG: View 2 : 0.494117647059
+2016-08-24 18:34:09,277 DEBUG: View 3 : 0.629411764706
+2016-08-24 18:34:09,740 DEBUG: Best view : Methyl
+2016-08-24 18:34:19,294 DEBUG: Start: Iteration 148
+2016-08-24 18:34:19,312 DEBUG: View 0 : 0.582352941176
+2016-08-24 18:34:19,321 DEBUG: View 1 : 0.7
+2016-08-24 18:34:19,370 DEBUG: View 2 : 0.394117647059
+2016-08-24 18:34:19,378 DEBUG: View 3 : 0.629411764706
+2016-08-24 18:34:19,839 DEBUG: Best view : MiRNA_
+2016-08-24 18:34:29,448 DEBUG: Start: Iteration 149
+2016-08-24 18:34:29,466 DEBUG: View 0 : 0.570588235294
+2016-08-24 18:34:29,475 DEBUG: View 1 : 0.705882352941
+2016-08-24 18:34:29,520 DEBUG: View 2 : 0.323529411765
+2016-08-24 18:34:29,528 DEBUG: View 3 : 0.370588235294
+2016-08-24 18:34:29,993 DEBUG: Best view : MiRNA_
+2016-08-24 18:34:39,663 DEBUG: Start: Iteration 150
+2016-08-24 18:34:39,681 DEBUG: View 0 : 0.511764705882
+2016-08-24 18:34:39,690 DEBUG: View 1 : 0.735294117647
+2016-08-24 18:34:39,735 DEBUG: View 2 : 0.347058823529
+2016-08-24 18:34:39,745 DEBUG: View 3 : 0.411764705882
+2016-08-24 18:34:40,211 DEBUG: Best view : MiRNA_
+2016-08-24 18:34:49,939 DEBUG: Start: Iteration 151
+2016-08-24 18:34:49,957 DEBUG: View 0 : 0.723529411765
+2016-08-24 18:34:49,966 DEBUG: View 1 : 0.8
+2016-08-24 18:34:50,017 DEBUG: View 2 : 0.505882352941
+2016-08-24 18:34:50,027 DEBUG: View 3 : 0.558823529412
+2016-08-24 18:34:50,500 DEBUG: Best view : MiRNA_
+2016-08-24 18:35:00,288 DEBUG: Start: Iteration 152
+2016-08-24 18:35:00,306 DEBUG: View 0 : 0.617647058824
+2016-08-24 18:35:00,315 DEBUG: View 1 : 0.729411764706
+2016-08-24 18:35:00,367 DEBUG: View 2 : 0.617647058824
+2016-08-24 18:35:00,377 DEBUG: View 3 : 0.647058823529
+2016-08-24 18:35:00,850 DEBUG: Best view : MiRNA_
+2016-08-24 18:35:10,685 DEBUG: Start: Iteration 153
+2016-08-24 18:35:10,703 DEBUG: View 0 : 0.382352941176
+2016-08-24 18:35:10,712 DEBUG: View 1 : 0.411764705882
+2016-08-24 18:35:10,764 DEBUG: View 2 : 0.523529411765
+2016-08-24 18:35:10,774 DEBUG: View 3 : 0.505882352941
+2016-08-24 18:35:11,248 DEBUG: Best view : RANSeq
+2016-08-24 18:35:21,233 DEBUG: Start: Iteration 154
+2016-08-24 18:35:21,252 DEBUG: View 0 : 0.352941176471
+2016-08-24 18:35:21,261 DEBUG: View 1 : 0.588235294118
+2016-08-24 18:35:21,309 DEBUG: View 2 : 0.447058823529
+2016-08-24 18:35:21,319 DEBUG: View 3 : 0.611764705882
+2016-08-24 18:35:21,795 DEBUG: Best view : Clinic
+2016-08-24 18:35:31,787 DEBUG: Start: Iteration 155
+2016-08-24 18:35:31,805 DEBUG: View 0 : 0.5
+2016-08-24 18:35:31,814 DEBUG: View 1 : 0.341176470588
+2016-08-24 18:35:31,861 DEBUG: View 2 : 0.323529411765
+2016-08-24 18:35:31,871 DEBUG: View 3 : 0.435294117647
+2016-08-24 18:35:32,350 DEBUG: Best view : Methyl
+2016-08-24 18:35:42,386 DEBUG: Start: Iteration 156
+2016-08-24 18:35:42,405 DEBUG: View 0 : 0.435294117647
+2016-08-24 18:35:42,414 DEBUG: View 1 : 0.664705882353
+2016-08-24 18:35:42,461 DEBUG: View 2 : 0.341176470588
+2016-08-24 18:35:42,471 DEBUG: View 3 : 0.435294117647
+2016-08-24 18:35:42,953 DEBUG: Best view : MiRNA_
+2016-08-24 18:35:53,075 DEBUG: Start: Iteration 157
+2016-08-24 18:35:53,093 DEBUG: View 0 : 0.576470588235
+2016-08-24 18:35:53,102 DEBUG: View 1 : 0.252941176471
+2016-08-24 18:35:53,150 DEBUG: View 2 : 0.452941176471
+2016-08-24 18:35:53,160 DEBUG: View 3 : 0.347058823529
+2016-08-24 18:35:53,650 DEBUG: Best view : Methyl
+2016-08-24 18:36:03,816 DEBUG: Start: Iteration 158
+2016-08-24 18:36:03,834 DEBUG: View 0 : 0.423529411765
+2016-08-24 18:36:03,843 DEBUG: View 1 : 0.664705882353
+2016-08-24 18:36:03,893 DEBUG: View 2 : 0.376470588235
+2016-08-24 18:36:03,904 DEBUG: View 3 : 0.6
+2016-08-24 18:36:04,395 DEBUG: Best view : MiRNA_
+2016-08-24 18:36:14,656 DEBUG: Start: Iteration 159
+2016-08-24 18:36:14,674 DEBUG: View 0 : 0.7
+2016-08-24 18:36:14,682 DEBUG: View 1 : 0.635294117647
+2016-08-24 18:36:14,733 DEBUG: View 2 : 0.376470588235
+2016-08-24 18:36:14,743 DEBUG: View 3 : 0.558823529412
+2016-08-24 18:36:15,236 DEBUG: Best view : Methyl
+2016-08-24 18:36:25,541 DEBUG: Start: Iteration 160
+2016-08-24 18:36:25,559 DEBUG: View 0 : 0.641176470588
+2016-08-24 18:36:25,567 DEBUG: View 1 : 0.629411764706
+2016-08-24 18:36:25,617 DEBUG: View 2 : 0.5
+2016-08-24 18:36:25,628 DEBUG: View 3 : 0.405882352941
+2016-08-24 18:36:26,119 DEBUG: Best view : Methyl
+2016-08-24 18:36:36,504 DEBUG: Start: Iteration 161
+2016-08-24 18:36:36,522 DEBUG: View 0 : 0.570588235294
+2016-08-24 18:36:36,531 DEBUG: View 1 : 0.670588235294
+2016-08-24 18:36:36,582 DEBUG: View 2 : 0.617647058824
+2016-08-24 18:36:36,592 DEBUG: View 3 : 0.505882352941
+2016-08-24 18:36:37,091 DEBUG: Best view : MiRNA_
+2016-08-24 18:36:47,500 DEBUG: Start: Iteration 162
+2016-08-24 18:36:47,518 DEBUG: View 0 : 0.329411764706
+2016-08-24 18:36:47,527 DEBUG: View 1 : 0.517647058824
+2016-08-24 18:36:47,578 DEBUG: View 2 : 0.641176470588
+2016-08-24 18:36:47,588 DEBUG: View 3 : 0.335294117647
+2016-08-24 18:36:48,087 DEBUG: Best view : RANSeq
+2016-08-24 18:36:58,578 DEBUG: Start: Iteration 163
+2016-08-24 18:36:58,596 DEBUG: View 0 : 0.594117647059
+2016-08-24 18:36:58,605 DEBUG: View 1 : 0.605882352941
+2016-08-24 18:36:58,658 DEBUG: View 2 : 0.523529411765
+2016-08-24 18:36:58,668 DEBUG: View 3 : 0.364705882353
+2016-08-24 18:36:59,189 DEBUG: Best view : MiRNA_
+2016-08-24 18:37:09,753 DEBUG: Start: Iteration 164
+2016-08-24 18:37:09,771 DEBUG: View 0 : 0.470588235294
+2016-08-24 18:37:09,780 DEBUG: View 1 : 0.658823529412
+2016-08-24 18:37:09,830 DEBUG: View 2 : 0.523529411765
+2016-08-24 18:37:09,841 DEBUG: View 3 : 0.652941176471
+2016-08-24 18:37:10,345 DEBUG: Best view : MiRNA_
+2016-08-24 18:37:20,973 DEBUG: Start: Iteration 165
+2016-08-24 18:37:20,992 DEBUG: View 0 : 0.252941176471
+2016-08-24 18:37:21,000 DEBUG: View 1 : 0.505882352941
+2016-08-24 18:37:21,052 DEBUG: View 2 : 0.488235294118
+2016-08-24 18:37:21,062 DEBUG: View 3 : 0.541176470588
+2016-08-24 18:37:21,577 DEBUG: Best view : Clinic
+2016-08-24 18:37:32,291 DEBUG: Start: Iteration 166
+2016-08-24 18:37:32,309 DEBUG: View 0 : 0.511764705882
+2016-08-24 18:37:32,318 DEBUG: View 1 : 0.752941176471
+2016-08-24 18:37:32,368 DEBUG: View 2 : 0.658823529412
+2016-08-24 18:37:32,378 DEBUG: View 3 : 0.464705882353
+2016-08-24 18:37:32,890 DEBUG: Best view : MiRNA_
+2016-08-24 18:37:43,639 DEBUG: Start: Iteration 167
+2016-08-24 18:37:43,657 DEBUG: View 0 : 0.629411764706
+2016-08-24 18:37:43,666 DEBUG: View 1 : 0.376470588235
+2016-08-24 18:37:43,716 DEBUG: View 2 : 0.576470588235
+2016-08-24 18:37:43,727 DEBUG: View 3 : 0.647058823529
+2016-08-24 18:37:44,241 DEBUG: Best view : Clinic
+2016-08-24 18:37:55,048 DEBUG: Start: Iteration 168
+2016-08-24 18:37:55,066 DEBUG: View 0 : 0.552941176471
+2016-08-24 18:37:55,075 DEBUG: View 1 : 0.329411764706
+2016-08-24 18:37:55,126 DEBUG: View 2 : 0.441176470588
+2016-08-24 18:37:55,136 DEBUG: View 3 : 0.541176470588
+2016-08-24 18:37:55,651 DEBUG: Best view : Methyl
+2016-08-24 18:38:06,545 DEBUG: Start: Iteration 169
+2016-08-24 18:38:06,563 DEBUG: View 0 : 0.770588235294
+2016-08-24 18:38:06,571 DEBUG: View 1 : 0.676470588235
+2016-08-24 18:38:06,621 DEBUG: View 2 : 0.329411764706
+2016-08-24 18:38:06,632 DEBUG: View 3 : 0.488235294118
+2016-08-24 18:38:07,148 DEBUG: Best view : Methyl
+2016-08-24 18:38:18,086 DEBUG: Start: Iteration 170
+2016-08-24 18:38:18,104 DEBUG: View 0 : 0.605882352941
+2016-08-24 18:38:18,113 DEBUG: View 1 : 0.552941176471
+2016-08-24 18:38:18,163 DEBUG: View 2 : 0.341176470588
+2016-08-24 18:38:18,173 DEBUG: View 3 : 0.488235294118
+2016-08-24 18:38:18,699 DEBUG: Best view : Methyl
+2016-08-24 18:38:29,701 DEBUG: Start: Iteration 171
+2016-08-24 18:38:29,719 DEBUG: View 0 : 0.658823529412
+2016-08-24 18:38:29,727 DEBUG: View 1 : 0.282352941176
+2016-08-24 18:38:29,778 DEBUG: View 2 : 0.541176470588
+2016-08-24 18:38:29,788 DEBUG: View 3 : 0.635294117647
+2016-08-24 18:38:30,308 DEBUG: Best view : Methyl
+2016-08-24 18:38:41,384 DEBUG: Start: Iteration 172
+2016-08-24 18:38:41,402 DEBUG: View 0 : 0.370588235294
+2016-08-24 18:38:41,411 DEBUG: View 1 : 0.635294117647
+2016-08-24 18:38:41,461 DEBUG: View 2 : 0.447058823529
+2016-08-24 18:38:41,471 DEBUG: View 3 : 0.7
+2016-08-24 18:38:41,997 DEBUG: Best view : Clinic
+2016-08-24 18:38:53,133 DEBUG: Start: Iteration 173
+2016-08-24 18:38:53,151 DEBUG: View 0 : 0.541176470588
+2016-08-24 18:38:53,160 DEBUG: View 1 : 0.717647058824
+2016-08-24 18:38:53,211 DEBUG: View 2 : 0.441176470588
+2016-08-24 18:38:53,221 DEBUG: View 3 : 0.652941176471
+2016-08-24 18:38:53,751 DEBUG: Best view : MiRNA_
+2016-08-24 18:39:04,932 DEBUG: Start: Iteration 174
+2016-08-24 18:39:04,951 DEBUG: View 0 : 0.364705882353
+2016-08-24 18:39:04,959 DEBUG: View 1 : 0.388235294118
+2016-08-24 18:39:05,010 DEBUG: View 2 : 0.482352941176
+2016-08-24 18:39:05,020 DEBUG: View 3 : 0.694117647059
+2016-08-24 18:39:05,551 DEBUG: Best view : Clinic
+2016-08-24 18:39:16,803 DEBUG: Start: Iteration 175
+2016-08-24 18:39:16,821 DEBUG: View 0 : 0.517647058824
+2016-08-24 18:39:16,830 DEBUG: View 1 : 0.388235294118
+2016-08-24 18:39:16,880 DEBUG: View 2 : 0.629411764706
+2016-08-24 18:39:16,890 DEBUG: View 3 : 0.552941176471
+2016-08-24 18:39:17,431 DEBUG: Best view : RANSeq
+2016-08-24 18:39:28,760 DEBUG: Start: Iteration 176
+2016-08-24 18:39:28,778 DEBUG: View 0 : 0.511764705882
+2016-08-24 18:39:28,787 DEBUG: View 1 : 0.429411764706
+2016-08-24 18:39:28,836 DEBUG: View 2 : 0.323529411765
+2016-08-24 18:39:28,846 DEBUG: View 3 : 0.494117647059
+2016-08-24 18:39:29,382 DEBUG: Best view : Methyl
+2016-08-24 18:39:40,781 DEBUG: Start: Iteration 177
+2016-08-24 18:39:40,799 DEBUG: View 0 : 0.517647058824
+2016-08-24 18:39:40,808 DEBUG: View 1 : 0.5
+2016-08-24 18:39:40,858 DEBUG: View 2 : 0.623529411765
+2016-08-24 18:39:40,868 DEBUG: View 3 : 0.564705882353
+2016-08-24 18:39:41,411 DEBUG: Best view : RANSeq
+2016-08-24 18:39:52,878 DEBUG: Start: Iteration 178
+2016-08-24 18:39:52,896 DEBUG: View 0 : 0.441176470588
+2016-08-24 18:39:52,904 DEBUG: View 1 : 0.729411764706
+2016-08-24 18:39:52,964 DEBUG: View 2 : 0.482352941176
+2016-08-24 18:39:52,974 DEBUG: View 3 : 0.505882352941
+2016-08-24 18:39:53,516 DEBUG: Best view : MiRNA_
+2016-08-24 18:40:05,028 DEBUG: Start: Iteration 179
+2016-08-24 18:40:05,047 DEBUG: View 0 : 0.647058823529
+2016-08-24 18:40:05,055 DEBUG: View 1 : 0.470588235294
+2016-08-24 18:40:05,102 DEBUG: View 2 : 0.376470588235
+2016-08-24 18:40:05,111 DEBUG: View 3 : 0.535294117647
+2016-08-24 18:40:05,656 DEBUG: Best view : Methyl
+2016-08-24 18:40:17,234 DEBUG: Start: Iteration 180
+2016-08-24 18:40:17,252 DEBUG: View 0 : 0.470588235294
+2016-08-24 18:40:17,261 DEBUG: View 1 : 0.352941176471
+2016-08-24 18:40:17,308 DEBUG: View 2 : 0.670588235294
+2016-08-24 18:40:17,317 DEBUG: View 3 : 0.376470588235
+2016-08-24 18:40:17,882 DEBUG: Best view : RANSeq
+2016-08-24 18:40:29,553 DEBUG: Start: Iteration 181
+2016-08-24 18:40:29,571 DEBUG: View 0 : 0.347058823529
+2016-08-24 18:40:29,579 DEBUG: View 1 : 0.747058823529
+2016-08-24 18:40:29,626 DEBUG: View 2 : 0.688235294118
+2016-08-24 18:40:29,635 DEBUG: View 3 : 0.5
+2016-08-24 18:40:30,191 DEBUG: Best view : MiRNA_
+2016-08-24 18:40:41,945 DEBUG: Start: Iteration 182
+2016-08-24 18:40:41,963 DEBUG: View 0 : 0.558823529412
+2016-08-24 18:40:41,972 DEBUG: View 1 : 0.429411764706
+2016-08-24 18:40:42,019 DEBUG: View 2 : 0.611764705882
+2016-08-24 18:40:42,030 DEBUG: View 3 : 0.617647058824
+2016-08-24 18:40:42,584 DEBUG: Best view : Clinic
+2016-08-24 18:40:54,394 DEBUG: Start: Iteration 183
+2016-08-24 18:40:54,412 DEBUG: View 0 : 0.535294117647
+2016-08-24 18:40:54,421 DEBUG: View 1 : 0.547058823529
+2016-08-24 18:40:54,472 DEBUG: View 2 : 0.317647058824
+2016-08-24 18:40:54,482 DEBUG: View 3 : 0.323529411765
+2016-08-24 18:40:55,041 DEBUG: Best view : MiRNA_
+2016-08-24 18:41:06,896 DEBUG: Start: Iteration 184
+2016-08-24 18:41:06,914 DEBUG: View 0 : 0.488235294118
+2016-08-24 18:41:06,922 DEBUG: View 1 : 0.388235294118
+2016-08-24 18:41:06,972 DEBUG: View 2 : 0.664705882353
+2016-08-24 18:41:06,983 DEBUG: View 3 : 0.388235294118
+2016-08-24 18:41:07,546 DEBUG: Best view : RANSeq
+2016-08-24 18:41:19,487 DEBUG: Start: Iteration 185
+2016-08-24 18:41:19,505 DEBUG: View 0 : 0.364705882353
+2016-08-24 18:41:19,514 DEBUG: View 1 : 0.476470588235
+2016-08-24 18:41:19,564 DEBUG: View 2 : 0.617647058824
+2016-08-24 18:41:19,575 DEBUG: View 3 : 0.635294117647
+2016-08-24 18:41:20,140 DEBUG: Best view : Clinic
+2016-08-24 18:41:32,119 DEBUG: Start: Iteration 186
+2016-08-24 18:41:32,137 DEBUG: View 0 : 0.376470588235
+2016-08-24 18:41:32,145 DEBUG: View 1 : 0.411764705882
+2016-08-24 18:41:32,195 DEBUG: View 2 : 0.376470588235
+2016-08-24 18:41:32,206 DEBUG: View 3 : 0.4
+2016-08-24 18:41:32,206 WARNING: WARNING: All bad for iteration 185
+2016-08-24 18:41:32,773 DEBUG: Best view : MiRNA_
+2016-08-24 18:41:44,853 DEBUG: Start: Iteration 187
+2016-08-24 18:41:44,871 DEBUG: View 0 : 0.523529411765
+2016-08-24 18:41:44,880 DEBUG: View 1 : 0.329411764706
+2016-08-24 18:41:44,926 DEBUG: View 2 : 0.6
+2016-08-24 18:41:44,936 DEBUG: View 3 : 0.552941176471
+2016-08-24 18:41:45,510 DEBUG: Best view : RANSeq
+2016-08-24 18:41:57,653 DEBUG: Start: Iteration 188
+2016-08-24 18:41:57,671 DEBUG: View 0 : 0.647058823529
+2016-08-24 18:41:57,680 DEBUG: View 1 : 0.735294117647
+2016-08-24 18:41:57,742 DEBUG: View 2 : 0.6
+2016-08-24 18:41:57,750 DEBUG: View 3 : 0.623529411765
+2016-08-24 18:41:58,320 DEBUG: Best view : MiRNA_
+2016-08-24 18:42:10,508 DEBUG: Start: Iteration 189
+2016-08-24 18:42:10,526 DEBUG: View 0 : 0.505882352941
+2016-08-24 18:42:10,535 DEBUG: View 1 : 0.511764705882
+2016-08-24 18:42:10,578 DEBUG: View 2 : 0.358823529412
+2016-08-24 18:42:10,586 DEBUG: View 3 : 0.670588235294
+2016-08-24 18:42:11,161 DEBUG: Best view : Clinic
+2016-08-24 18:42:23,420 DEBUG: Start: Iteration 190
+2016-08-24 18:42:23,438 DEBUG: View 0 : 0.529411764706
+2016-08-24 18:42:23,447 DEBUG: View 1 : 0.517647058824
+2016-08-24 18:42:23,490 DEBUG: View 2 : 0.670588235294
+2016-08-24 18:42:23,498 DEBUG: View 3 : 0.417647058824
+2016-08-24 18:42:24,072 DEBUG: Best view : RANSeq
+2016-08-24 18:42:36,402 DEBUG: Start: Iteration 191
+2016-08-24 18:42:36,420 DEBUG: View 0 : 0.488235294118
+2016-08-24 18:42:36,429 DEBUG: View 1 : 0.305882352941
+2016-08-24 18:42:36,474 DEBUG: View 2 : 0.682352941176
+2016-08-24 18:42:36,482 DEBUG: View 3 : 0.352941176471
+2016-08-24 18:42:37,071 DEBUG: Best view : RANSeq
+2016-08-24 18:42:49,472 DEBUG: Start: Iteration 192
+2016-08-24 18:42:49,490 DEBUG: View 0 : 0.623529411765
+2016-08-24 18:42:49,498 DEBUG: View 1 : 0.658823529412
+2016-08-24 18:42:49,543 DEBUG: View 2 : 0.517647058824
+2016-08-24 18:42:49,551 DEBUG: View 3 : 0.6
+2016-08-24 18:42:50,132 DEBUG: Best view : MiRNA_
+2016-08-24 18:43:02,587 DEBUG: Start: Iteration 193
+2016-08-24 18:43:02,605 DEBUG: View 0 : 0.705882352941
+2016-08-24 18:43:02,613 DEBUG: View 1 : 0.435294117647
+2016-08-24 18:43:02,663 DEBUG: View 2 : 0.388235294118
+2016-08-24 18:43:02,672 DEBUG: View 3 : 0.611764705882
+2016-08-24 18:43:03,257 DEBUG: Best view : Methyl
+2016-08-24 18:43:15,781 DEBUG: Start: Iteration 194
+2016-08-24 18:43:15,799 DEBUG: View 0 : 0.535294117647
+2016-08-24 18:43:15,808 DEBUG: View 1 : 0.658823529412
+2016-08-24 18:43:15,849 DEBUG: View 2 : 0.7
+2016-08-24 18:43:15,857 DEBUG: View 3 : 0.347058823529
+2016-08-24 18:43:16,450 DEBUG: Best view : MiRNA_
+2016-08-24 18:43:29,031 DEBUG: Start: Iteration 195
+2016-08-24 18:43:29,049 DEBUG: View 0 : 0.658823529412
+2016-08-24 18:43:29,057 DEBUG: View 1 : 0.329411764706
+2016-08-24 18:43:29,101 DEBUG: View 2 : 0.517647058824
+2016-08-24 18:43:29,109 DEBUG: View 3 : 0.435294117647
+2016-08-24 18:43:29,699 DEBUG: Best view : Methyl
+2016-08-24 18:43:42,370 DEBUG: Start: Iteration 196
+2016-08-24 18:43:42,388 DEBUG: View 0 : 0.535294117647
+2016-08-24 18:43:42,397 DEBUG: View 1 : 0.717647058824
+2016-08-24 18:43:42,437 DEBUG: View 2 : 0.7
+2016-08-24 18:43:42,446 DEBUG: View 3 : 0.547058823529
+2016-08-24 18:43:43,038 DEBUG: Best view : MiRNA_
+2016-08-24 18:43:55,776 DEBUG: Start: Iteration 197
+2016-08-24 18:43:55,794 DEBUG: View 0 : 0.4
+2016-08-24 18:43:55,803 DEBUG: View 1 : 0.682352941176
+2016-08-24 18:43:55,842 DEBUG: View 2 : 0.576470588235
+2016-08-24 18:43:55,850 DEBUG: View 3 : 0.394117647059
+2016-08-24 18:43:56,443 DEBUG: Best view : MiRNA_
+2016-08-24 18:44:09,224 DEBUG: Start: Iteration 198
+2016-08-24 18:44:09,242 DEBUG: View 0 : 0.558823529412
+2016-08-24 18:44:09,251 DEBUG: View 1 : 0.652941176471
+2016-08-24 18:44:09,290 DEBUG: View 2 : 0.664705882353
+2016-08-24 18:44:09,298 DEBUG: View 3 : 0.494117647059
+2016-08-24 18:44:09,898 DEBUG: Best view : MiRNA_
+2016-08-24 18:44:22,723 DEBUG: Start: Iteration 199
+2016-08-24 18:44:22,741 DEBUG: View 0 : 0.417647058824
+2016-08-24 18:44:22,750 DEBUG: View 1 : 0.376470588235
+2016-08-24 18:44:22,803 DEBUG: View 2 : 0.588235294118
+2016-08-24 18:44:22,812 DEBUG: View 3 : 0.523529411765
+2016-08-24 18:44:23,415 DEBUG: Best view : RANSeq
+2016-08-24 18:44:36,321 DEBUG: Start: Iteration 200
+2016-08-24 18:44:36,339 DEBUG: View 0 : 0.494117647059
+2016-08-24 18:44:36,348 DEBUG: View 1 : 0.3
+2016-08-24 18:44:36,393 DEBUG: View 2 : 0.635294117647
+2016-08-24 18:44:36,402 DEBUG: View 3 : 0.6
+2016-08-24 18:44:37,004 DEBUG: Best view : RANSeq
+2016-08-24 18:44:50,017 DEBUG: Start: Iteration 201
+2016-08-24 18:44:50,035 DEBUG: View 0 : 0.364705882353
+2016-08-24 18:44:50,043 DEBUG: View 1 : 0.641176470588
+2016-08-24 18:44:50,092 DEBUG: View 2 : 0.405882352941
+2016-08-24 18:44:50,101 DEBUG: View 3 : 0.388235294118
+2016-08-24 18:44:50,704 DEBUG: Best view : MiRNA_
+2016-08-24 18:45:03,770 DEBUG: Start: Iteration 202
+2016-08-24 18:45:03,788 DEBUG: View 0 : 0.429411764706
+2016-08-24 18:45:03,797 DEBUG: View 1 : 0.735294117647
+2016-08-24 18:45:03,845 DEBUG: View 2 : 0.547058823529
+2016-08-24 18:45:03,854 DEBUG: View 3 : 0.470588235294
+2016-08-24 18:45:04,463 DEBUG: Best view : MiRNA_
+2016-08-24 18:45:17,603 DEBUG: Start: Iteration 203
+2016-08-24 18:45:17,621 DEBUG: View 0 : 0.611764705882
+2016-08-24 18:45:17,630 DEBUG: View 1 : 0.482352941176
+2016-08-24 18:45:17,677 DEBUG: View 2 : 0.423529411765
+2016-08-24 18:45:17,687 DEBUG: View 3 : 0.652941176471
+2016-08-24 18:45:18,297 DEBUG: Best view : Clinic
+2016-08-24 18:45:31,495 DEBUG: Start: Iteration 204
+2016-08-24 18:45:31,513 DEBUG: View 0 : 0.311764705882
+2016-08-24 18:45:31,522 DEBUG: View 1 : 0.547058823529
+2016-08-24 18:45:31,570 DEBUG: View 2 : 0.541176470588
+2016-08-24 18:45:31,580 DEBUG: View 3 : 0.523529411765
+2016-08-24 18:45:32,199 DEBUG: Best view : MiRNA_
+2016-08-24 18:45:45,439 DEBUG: Start: Iteration 205
+2016-08-24 18:45:45,457 DEBUG: View 0 : 0.470588235294
+2016-08-24 18:45:45,466 DEBUG: View 1 : 0.276470588235
+2016-08-24 18:45:45,516 DEBUG: View 2 : 0.441176470588
+2016-08-24 18:45:45,526 DEBUG: View 3 : 0.647058823529
+2016-08-24 18:45:46,144 DEBUG: Best view : Clinic
+2016-08-24 18:45:59,471 DEBUG: Start: Iteration 206
+2016-08-24 18:45:59,489 DEBUG: View 0 : 0.405882352941
+2016-08-24 18:45:59,498 DEBUG: View 1 : 0.7
+2016-08-24 18:45:59,549 DEBUG: View 2 : 0.5
+2016-08-24 18:45:59,559 DEBUG: View 3 : 0.670588235294
+2016-08-24 18:46:00,183 DEBUG: Best view : MiRNA_
+2016-08-24 18:46:13,569 DEBUG: Start: Iteration 207
+2016-08-24 18:46:13,587 DEBUG: View 0 : 0.341176470588
+2016-08-24 18:46:13,596 DEBUG: View 1 : 0.635294117647
+2016-08-24 18:46:13,647 DEBUG: View 2 : 0.676470588235
+2016-08-24 18:46:13,657 DEBUG: View 3 : 0.352941176471
+2016-08-24 18:46:14,280 DEBUG: Best view : RANSeq
+2016-08-24 18:46:27,734 DEBUG: Start: Iteration 208
+2016-08-24 18:46:27,752 DEBUG: View 0 : 0.664705882353
+2016-08-24 18:46:27,761 DEBUG: View 1 : 0.711764705882
+2016-08-24 18:46:27,812 DEBUG: View 2 : 0.523529411765
+2016-08-24 18:46:27,822 DEBUG: View 3 : 0.358823529412
+2016-08-24 18:46:28,448 DEBUG: Best view : MiRNA_
+2016-08-24 18:46:41,948 DEBUG: Start: Iteration 209
+2016-08-24 18:46:41,966 DEBUG: View 0 : 0.347058823529
+2016-08-24 18:46:41,975 DEBUG: View 1 : 0.388235294118
+2016-08-24 18:46:42,026 DEBUG: View 2 : 0.664705882353
+2016-08-24 18:46:42,036 DEBUG: View 3 : 0.329411764706
+2016-08-24 18:46:42,663 DEBUG: Best view : RANSeq
+2016-08-24 18:46:56,253 DEBUG: Start: Iteration 210
+2016-08-24 18:46:56,271 DEBUG: View 0 : 0.517647058824
+2016-08-24 18:46:56,280 DEBUG: View 1 : 0.747058823529
+2016-08-24 18:46:56,331 DEBUG: View 2 : 0.658823529412
+2016-08-24 18:46:56,341 DEBUG: View 3 : 0.447058823529
+2016-08-24 18:46:56,975 DEBUG: Best view : MiRNA_
+2016-08-24 18:47:10,614 DEBUG: Start: Iteration 211
+2016-08-24 18:47:10,632 DEBUG: View 0 : 0.717647058824
+2016-08-24 18:47:10,640 DEBUG: View 1 : 0.494117647059
+2016-08-24 18:47:10,691 DEBUG: View 2 : 0.505882352941
+2016-08-24 18:47:10,701 DEBUG: View 3 : 0.447058823529
+2016-08-24 18:47:11,337 DEBUG: Best view : Methyl
+2016-08-24 18:47:25,033 DEBUG: Start: Iteration 212
+2016-08-24 18:47:25,051 DEBUG: View 0 : 0.305882352941
+2016-08-24 18:47:25,059 DEBUG: View 1 : 0.329411764706
+2016-08-24 18:47:25,110 DEBUG: View 2 : 0.482352941176
+2016-08-24 18:47:25,120 DEBUG: View 3 : 0.411764705882
+2016-08-24 18:47:25,120 WARNING: WARNING: All bad for iteration 211
+2016-08-24 18:47:25,764 DEBUG: Best view : RANSeq
+2016-08-24 18:47:39,534 DEBUG: Start: Iteration 213
+2016-08-24 18:47:39,552 DEBUG: View 0 : 0.494117647059
+2016-08-24 18:47:39,561 DEBUG: View 1 : 0.741176470588
+2016-08-24 18:47:39,611 DEBUG: View 2 : 0.447058823529
+2016-08-24 18:47:39,622 DEBUG: View 3 : 0.476470588235
+2016-08-24 18:47:40,262 DEBUG: Best view : MiRNA_
+2016-08-24 18:47:54,092 DEBUG: Start: Iteration 214
+2016-08-24 18:47:54,110 DEBUG: View 0 : 0.635294117647
+2016-08-24 18:47:54,119 DEBUG: View 1 : 0.570588235294
+2016-08-24 18:47:54,169 DEBUG: View 2 : 0.370588235294
+2016-08-24 18:47:54,180 DEBUG: View 3 : 0.611764705882
+2016-08-24 18:47:54,821 DEBUG: Best view : Methyl
+2016-08-24 18:48:08,756 DEBUG: Start: Iteration 215
+2016-08-24 18:48:08,774 DEBUG: View 0 : 0.347058823529
+2016-08-24 18:48:08,783 DEBUG: View 1 : 0.276470588235
+2016-08-24 18:48:08,834 DEBUG: View 2 : 0.364705882353
+2016-08-24 18:48:08,844 DEBUG: View 3 : 0.364705882353
+2016-08-24 18:48:08,845 WARNING: WARNING: All bad for iteration 214
+2016-08-24 18:48:09,499 DEBUG: Best view : Clinic
+2016-08-24 18:48:23,474 DEBUG: Start: Iteration 216
+2016-08-24 18:48:23,492 DEBUG: View 0 : 0.405882352941
+2016-08-24 18:48:23,501 DEBUG: View 1 : 0.417647058824
+2016-08-24 18:48:23,550 DEBUG: View 2 : 0.376470588235
+2016-08-24 18:48:23,560 DEBUG: View 3 : 0.352941176471
+2016-08-24 18:48:23,561 WARNING: WARNING: All bad for iteration 215
+2016-08-24 18:48:24,212 DEBUG: Best view : MiRNA_
+2016-08-24 18:48:38,205 DEBUG: Start: Iteration 217
+2016-08-24 18:48:38,223 DEBUG: View 0 : 0.452941176471
+2016-08-24 18:48:38,232 DEBUG: View 1 : 0.623529411765
+2016-08-24 18:48:38,283 DEBUG: View 2 : 0.641176470588
+2016-08-24 18:48:38,293 DEBUG: View 3 : 0.711764705882
+2016-08-24 18:48:38,947 DEBUG: Best view : Clinic
+2016-08-24 18:48:53,053 DEBUG: Start: Iteration 218
+2016-08-24 18:48:53,071 DEBUG: View 0 : 0.452941176471
+2016-08-24 18:48:53,080 DEBUG: View 1 : 0.4
+2016-08-24 18:48:53,131 DEBUG: View 2 : 0.323529411765
+2016-08-24 18:48:53,141 DEBUG: View 3 : 0.535294117647
+2016-08-24 18:48:53,799 DEBUG: Best view : Clinic
+2016-08-24 18:49:07,967 DEBUG: Start: Iteration 219
+2016-08-24 18:49:07,985 DEBUG: View 0 : 0.452941176471
+2016-08-24 18:49:07,995 DEBUG: View 1 : 0.458823529412
+2016-08-24 18:49:08,045 DEBUG: View 2 : 0.470588235294
+2016-08-24 18:49:08,055 DEBUG: View 3 : 0.505882352941
+2016-08-24 18:49:08,720 DEBUG: Best view : Clinic
+2016-08-24 18:49:22,917 DEBUG: Start: Iteration 220
+2016-08-24 18:49:22,935 DEBUG: View 0 : 0.347058823529
+2016-08-24 18:49:22,943 DEBUG: View 1 : 0.605882352941
+2016-08-24 18:49:22,993 DEBUG: View 2 : 0.670588235294
+2016-08-24 18:49:23,003 DEBUG: View 3 : 0.352941176471
+2016-08-24 18:49:23,671 DEBUG: Best view : RANSeq
+2016-08-24 18:49:37,973 DEBUG: Start: Iteration 221
+2016-08-24 18:49:37,991 DEBUG: View 0 : 0.541176470588
+2016-08-24 18:49:38,000 DEBUG: View 1 : 0.394117647059
+2016-08-24 18:49:38,052 DEBUG: View 2 : 0.511764705882
+2016-08-24 18:49:38,061 DEBUG: View 3 : 0.470588235294
+2016-08-24 18:49:38,728 DEBUG: Best view : Methyl
+2016-08-24 18:49:53,062 DEBUG: Start: Iteration 222
+2016-08-24 18:49:53,080 DEBUG: View 0 : 0.511764705882
+2016-08-24 18:49:53,089 DEBUG: View 1 : 0.435294117647
+2016-08-24 18:49:53,134 DEBUG: View 2 : 0.452941176471
+2016-08-24 18:49:53,143 DEBUG: View 3 : 0.511764705882
+2016-08-24 18:49:53,818 DEBUG: Best view : Methyl
+2016-08-24 18:50:08,218 DEBUG: Start: Iteration 223
+2016-08-24 18:50:08,236 DEBUG: View 0 : 0.541176470588
+2016-08-24 18:50:08,245 DEBUG: View 1 : 0.547058823529
+2016-08-24 18:50:08,290 DEBUG: View 2 : 0.347058823529
+2016-08-24 18:50:08,300 DEBUG: View 3 : 0.352941176471
+2016-08-24 18:50:08,964 DEBUG: Best view : MiRNA_
+2016-08-24 18:50:23,482 DEBUG: Start: Iteration 224
+2016-08-24 18:50:23,501 DEBUG: View 0 : 0.688235294118
+2016-08-24 18:50:23,509 DEBUG: View 1 : 0.511764705882
+2016-08-24 18:50:23,554 DEBUG: View 2 : 0.470588235294
+2016-08-24 18:50:23,564 DEBUG: View 3 : 0.394117647059
+2016-08-24 18:50:24,233 DEBUG: Best view : Methyl
+2016-08-24 18:50:38,770 DEBUG: Start: Iteration 225
+2016-08-24 18:50:38,788 DEBUG: View 0 : 0.729411764706
+2016-08-24 18:50:38,797 DEBUG: View 1 : 0.364705882353
+2016-08-24 18:50:38,842 DEBUG: View 2 : 0.476470588235
+2016-08-24 18:50:38,852 DEBUG: View 3 : 0.605882352941
+2016-08-24 18:50:39,525 DEBUG: Best view : Methyl
+2016-08-24 18:50:54,133 DEBUG: Start: Iteration 226
+2016-08-24 18:50:54,151 DEBUG: View 0 : 0.5
+2016-08-24 18:50:54,160 DEBUG: View 1 : 0.323529411765
+2016-08-24 18:50:54,204 DEBUG: View 2 : 0.411764705882
+2016-08-24 18:50:54,214 DEBUG: View 3 : 0.611764705882
+2016-08-24 18:50:54,887 DEBUG: Best view : Clinic
+2016-08-24 18:51:09,532 DEBUG: Start: Iteration 227
+2016-08-24 18:51:09,550 DEBUG: View 0 : 0.629411764706
+2016-08-24 18:51:09,559 DEBUG: View 1 : 0.688235294118
+2016-08-24 18:51:09,603 DEBUG: View 2 : 0.411764705882
+2016-08-24 18:51:09,613 DEBUG: View 3 : 0.458823529412
+2016-08-24 18:51:10,295 DEBUG: Best view : MiRNA_
+2016-08-24 18:51:25,022 DEBUG: Start: Iteration 228
+2016-08-24 18:51:25,040 DEBUG: View 0 : 0.288235294118
+2016-08-24 18:51:25,049 DEBUG: View 1 : 0.717647058824
+2016-08-24 18:51:25,093 DEBUG: View 2 : 0.647058823529
+2016-08-24 18:51:25,103 DEBUG: View 3 : 0.376470588235
+2016-08-24 18:51:25,790 DEBUG: Best view : MiRNA_
+2016-08-24 18:51:40,558 DEBUG: Start: Iteration 229
+2016-08-24 18:51:40,576 DEBUG: View 0 : 0.582352941176
+2016-08-24 18:51:40,585 DEBUG: View 1 : 0.282352941176
+2016-08-24 18:51:40,629 DEBUG: View 2 : 0.652941176471
+2016-08-24 18:51:40,638 DEBUG: View 3 : 0.658823529412
+2016-08-24 18:51:41,319 DEBUG: Best view : Clinic
+2016-08-24 18:51:56,188 DEBUG: Start: Iteration 230
+2016-08-24 18:51:56,206 DEBUG: View 0 : 0.570588235294
+2016-08-24 18:51:56,215 DEBUG: View 1 : 0.705882352941
+2016-08-24 18:51:56,259 DEBUG: View 2 : 0.547058823529
+2016-08-24 18:51:56,269 DEBUG: View 3 : 0.647058823529
+2016-08-24 18:51:56,971 DEBUG: Best view : MiRNA_
+2016-08-24 18:52:11,890 DEBUG: Start: Iteration 231
+2016-08-24 18:52:11,908 DEBUG: View 0 : 0.329411764706
+2016-08-24 18:52:11,917 DEBUG: View 1 : 0.282352941176
+2016-08-24 18:52:11,961 DEBUG: View 2 : 0.635294117647
+2016-08-24 18:52:11,971 DEBUG: View 3 : 0.617647058824
+2016-08-24 18:52:12,665 DEBUG: Best view : RANSeq
+2016-08-24 18:52:27,675 DEBUG: Start: Iteration 232
+2016-08-24 18:52:27,693 DEBUG: View 0 : 0.635294117647
+2016-08-24 18:52:27,701 DEBUG: View 1 : 0.570588235294
+2016-08-24 18:52:27,745 DEBUG: View 2 : 0.4
+2016-08-24 18:52:27,755 DEBUG: View 3 : 0.676470588235
+2016-08-24 18:52:28,444 DEBUG: Best view : Clinic
+2016-08-24 18:52:43,572 DEBUG: Start: Iteration 233
+2016-08-24 18:52:43,590 DEBUG: View 0 : 0.388235294118
+2016-08-24 18:52:43,599 DEBUG: View 1 : 0.635294117647
+2016-08-24 18:52:43,643 DEBUG: View 2 : 0.617647058824
+2016-08-24 18:52:43,652 DEBUG: View 3 : 0.558823529412
+2016-08-24 18:52:44,358 DEBUG: Best view : MiRNA_
+2016-08-24 18:52:59,500 DEBUG: Start: Iteration 234
+2016-08-24 18:52:59,519 DEBUG: View 0 : 0.294117647059
+2016-08-24 18:52:59,528 DEBUG: View 1 : 0.647058823529
+2016-08-24 18:52:59,572 DEBUG: View 2 : 0.505882352941
+2016-08-24 18:52:59,582 DEBUG: View 3 : 0.435294117647
+2016-08-24 18:53:00,294 DEBUG: Best view : MiRNA_
+2016-08-24 18:53:15,474 DEBUG: Start: Iteration 235
+2016-08-24 18:53:15,492 DEBUG: View 0 : 0.305882352941
+2016-08-24 18:53:15,501 DEBUG: View 1 : 0.511764705882
+2016-08-24 18:53:15,546 DEBUG: View 2 : 0.470588235294
+2016-08-24 18:53:15,555 DEBUG: View 3 : 0.547058823529
+2016-08-24 18:53:16,253 DEBUG: Best view : Clinic
+2016-08-24 18:53:31,485 DEBUG: Start: Iteration 236
+2016-08-24 18:53:31,503 DEBUG: View 0 : 0.670588235294
+2016-08-24 18:53:31,512 DEBUG: View 1 : 0.3
+2016-08-24 18:53:31,558 DEBUG: View 2 : 0.552941176471
+2016-08-24 18:53:31,568 DEBUG: View 3 : 0.494117647059
+2016-08-24 18:53:32,277 DEBUG: Best view : Methyl
+2016-08-24 18:53:47,571 DEBUG: Start: Iteration 237
+2016-08-24 18:53:47,589 DEBUG: View 0 : 0.652941176471
+2016-08-24 18:53:47,597 DEBUG: View 1 : 0.382352941176
+2016-08-24 18:53:47,644 DEBUG: View 2 : 0.447058823529
+2016-08-24 18:53:47,653 DEBUG: View 3 : 0.488235294118
+2016-08-24 18:53:48,357 DEBUG: Best view : Methyl
+2016-08-24 18:54:03,730 DEBUG: Start: Iteration 238
+2016-08-24 18:54:03,748 DEBUG: View 0 : 0.4
+2016-08-24 18:54:03,757 DEBUG: View 1 : 0.294117647059
+2016-08-24 18:54:03,803 DEBUG: View 2 : 0.394117647059
+2016-08-24 18:54:03,813 DEBUG: View 3 : 0.7
+2016-08-24 18:54:04,524 DEBUG: Best view : Clinic
+2016-08-24 18:54:19,940 DEBUG: Start: Iteration 239
+2016-08-24 18:54:19,958 DEBUG: View 0 : 0.523529411765
+2016-08-24 18:54:19,967 DEBUG: View 1 : 0.688235294118
+2016-08-24 18:54:20,013 DEBUG: View 2 : 0.517647058824
+2016-08-24 18:54:20,023 DEBUG: View 3 : 0.694117647059
+2016-08-24 18:54:20,734 DEBUG: Best view : MiRNA_
+2016-08-24 18:54:36,225 DEBUG: Start: Iteration 240
+2016-08-24 18:54:36,243 DEBUG: View 0 : 0.464705882353
+2016-08-24 18:54:36,251 DEBUG: View 1 : 0.405882352941
+2016-08-24 18:54:36,298 DEBUG: View 2 : 0.364705882353
+2016-08-24 18:54:36,307 DEBUG: View 3 : 0.347058823529
+2016-08-24 18:54:36,308 WARNING: WARNING: All bad for iteration 239
+2016-08-24 18:54:37,021 DEBUG: Best view : Methyl
+2016-08-24 18:54:52,580 DEBUG: Start: Iteration 241
+2016-08-24 18:54:52,598 DEBUG: View 0 : 0.717647058824
+2016-08-24 18:54:52,607 DEBUG: View 1 : 0.717647058824
+2016-08-24 18:54:52,653 DEBUG: View 2 : 0.411764705882
+2016-08-24 18:54:52,662 DEBUG: View 3 : 0.588235294118
+2016-08-24 18:54:53,377 DEBUG: Best view : MiRNA_
+2016-08-24 18:55:09,016 DEBUG: Start: Iteration 242
+2016-08-24 18:55:09,035 DEBUG: View 0 : 0.470588235294
+2016-08-24 18:55:09,045 DEBUG: View 1 : 0.735294117647
+2016-08-24 18:55:09,092 DEBUG: View 2 : 0.617647058824
+2016-08-24 18:55:09,102 DEBUG: View 3 : 0.611764705882
+2016-08-24 18:55:09,820 DEBUG: Best view : MiRNA_
+2016-08-24 18:55:25,525 DEBUG: Start: Iteration 243
+2016-08-24 18:55:25,543 DEBUG: View 0 : 0.558823529412
+2016-08-24 18:55:25,553 DEBUG: View 1 : 0.594117647059
+2016-08-24 18:55:25,600 DEBUG: View 2 : 0.658823529412
+2016-08-24 18:55:25,610 DEBUG: View 3 : 0.311764705882
+2016-08-24 18:55:26,345 DEBUG: Best view : RANSeq
+2016-08-24 18:55:42,147 DEBUG: Start: Iteration 244
+2016-08-24 18:55:42,165 DEBUG: View 0 : 0.347058823529
+2016-08-24 18:55:42,174 DEBUG: View 1 : 0.394117647059
+2016-08-24 18:55:42,219 DEBUG: View 2 : 0.570588235294
+2016-08-24 18:55:42,229 DEBUG: View 3 : 0.482352941176
+2016-08-24 18:55:42,949 DEBUG: Best view : RANSeq
+2016-08-24 18:55:58,776 DEBUG: Start: Iteration 245
+2016-08-24 18:55:58,794 DEBUG: View 0 : 0.529411764706
+2016-08-24 18:55:58,803 DEBUG: View 1 : 0.747058823529
+2016-08-24 18:55:58,849 DEBUG: View 2 : 0.447058823529
+2016-08-24 18:55:58,859 DEBUG: View 3 : 0.476470588235
+2016-08-24 18:55:59,583 DEBUG: Best view : MiRNA_
+2016-08-24 18:56:15,479 DEBUG: Start: Iteration 246
+2016-08-24 18:56:15,497 DEBUG: View 0 : 0.4
+2016-08-24 18:56:15,506 DEBUG: View 1 : 0.629411764706
+2016-08-24 18:56:15,553 DEBUG: View 2 : 0.435294117647
+2016-08-24 18:56:15,562 DEBUG: View 3 : 0.611764705882
+2016-08-24 18:56:16,289 DEBUG: Best view : MiRNA_
+2016-08-24 18:56:32,237 DEBUG: Start: Iteration 247
+2016-08-24 18:56:32,256 DEBUG: View 0 : 0.511764705882
+2016-08-24 18:56:32,265 DEBUG: View 1 : 0.394117647059
+2016-08-24 18:56:32,311 DEBUG: View 2 : 0.670588235294
+2016-08-24 18:56:32,321 DEBUG: View 3 : 0.482352941176
+2016-08-24 18:56:33,057 DEBUG: Best view : RANSeq
+2016-08-24 18:56:49,157 DEBUG: Start: Iteration 248
+2016-08-24 18:56:49,175 DEBUG: View 0 : 0.6
+2016-08-24 18:56:49,184 DEBUG: View 1 : 0.552941176471
+2016-08-24 18:56:49,230 DEBUG: View 2 : 0.329411764706
+2016-08-24 18:56:49,240 DEBUG: View 3 : 0.711764705882
+2016-08-24 18:56:49,975 DEBUG: Best view : Clinic
+2016-08-24 18:57:06,052 DEBUG: Start: Iteration 249
+2016-08-24 18:57:06,070 DEBUG: View 0 : 0.611764705882
+2016-08-24 18:57:06,079 DEBUG: View 1 : 0.541176470588
+2016-08-24 18:57:06,126 DEBUG: View 2 : 0.511764705882
+2016-08-24 18:57:06,135 DEBUG: View 3 : 0.594117647059
+2016-08-24 18:57:06,876 DEBUG: Best view : Methyl
+2016-08-24 18:57:23,052 DEBUG: Start: Iteration 250
+2016-08-24 18:57:23,070 DEBUG: View 0 : 0.7
+2016-08-24 18:57:23,079 DEBUG: View 1 : 0.347058823529
+2016-08-24 18:57:23,125 DEBUG: View 2 : 0.423529411765
+2016-08-24 18:57:23,135 DEBUG: View 3 : 0.676470588235
+2016-08-24 18:57:23,883 DEBUG: Best view : Methyl
+2016-08-24 18:57:40,091 DEBUG: Start: Iteration 251
+2016-08-24 18:57:40,109 DEBUG: View 0 : 0.352941176471
+2016-08-24 18:57:40,117 DEBUG: View 1 : 0.382352941176
+2016-08-24 18:57:40,164 DEBUG: View 2 : 0.529411764706
+2016-08-24 18:57:40,174 DEBUG: View 3 : 0.476470588235
+2016-08-24 18:57:40,921 DEBUG: Best view : RANSeq
+2016-08-24 18:57:57,239 DEBUG: Start: Iteration 252
+2016-08-24 18:57:57,257 DEBUG: View 0 : 0.376470588235
+2016-08-24 18:57:57,266 DEBUG: View 1 : 0.705882352941
+2016-08-24 18:57:57,312 DEBUG: View 2 : 0.382352941176
+2016-08-24 18:57:57,321 DEBUG: View 3 : 0.376470588235
+2016-08-24 18:57:58,072 DEBUG: Best view : MiRNA_
+2016-08-24 18:58:14,531 DEBUG: Start: Iteration 253
+2016-08-24 18:58:14,549 DEBUG: View 0 : 0.394117647059
+2016-08-24 18:58:14,558 DEBUG: View 1 : 0.347058823529
+2016-08-24 18:58:14,605 DEBUG: View 2 : 0.494117647059
+2016-08-24 18:58:14,615 DEBUG: View 3 : 0.352941176471
+2016-08-24 18:58:14,615 WARNING: WARNING: All bad for iteration 252
+2016-08-24 18:58:15,359 DEBUG: Best view : RANSeq
+2016-08-24 18:58:31,804 DEBUG: Start: Iteration 254
+2016-08-24 18:58:31,822 DEBUG: View 0 : 0.517647058824
+2016-08-24 18:58:31,830 DEBUG: View 1 : 0.335294117647
+2016-08-24 18:58:31,877 DEBUG: View 2 : 0.558823529412
+2016-08-24 18:58:31,886 DEBUG: View 3 : 0.4
+2016-08-24 18:58:32,656 DEBUG: Best view : RANSeq
+2016-08-24 18:58:49,157 DEBUG: Start: Iteration 255
+2016-08-24 18:58:49,175 DEBUG: View 0 : 0.594117647059
+2016-08-24 18:58:49,184 DEBUG: View 1 : 0.311764705882
+2016-08-24 18:58:49,230 DEBUG: View 2 : 0.629411764706
+2016-08-24 18:58:49,240 DEBUG: View 3 : 0.694117647059
+2016-08-24 18:58:49,999 DEBUG: Best view : Clinic
+2016-08-24 18:59:06,624 DEBUG: Start: Iteration 256
+2016-08-24 18:59:06,642 DEBUG: View 0 : 0.588235294118
+2016-08-24 18:59:06,650 DEBUG: View 1 : 0.429411764706
+2016-08-24 18:59:06,697 DEBUG: View 2 : 0.329411764706
+2016-08-24 18:59:06,706 DEBUG: View 3 : 0.447058823529
+2016-08-24 18:59:07,469 DEBUG: Best view : Methyl
+2016-08-24 18:59:24,092 DEBUG: Start: Iteration 257
+2016-08-24 18:59:24,110 DEBUG: View 0 : 0.505882352941
+2016-08-24 18:59:24,119 DEBUG: View 1 : 0.670588235294
+2016-08-24 18:59:24,165 DEBUG: View 2 : 0.488235294118
+2016-08-24 18:59:24,174 DEBUG: View 3 : 0.476470588235
+2016-08-24 18:59:24,935 DEBUG: Best view : MiRNA_
+2016-08-24 18:59:41,658 DEBUG: Start: Iteration 258
+2016-08-24 18:59:41,676 DEBUG: View 0 : 0.458823529412
+2016-08-24 18:59:41,685 DEBUG: View 1 : 0.394117647059
+2016-08-24 18:59:41,731 DEBUG: View 2 : 0.476470588235
+2016-08-24 18:59:41,740 DEBUG: View 3 : 0.652941176471
+2016-08-24 18:59:42,506 DEBUG: Best view : Clinic
+2016-08-24 18:59:59,256 DEBUG: Start: Iteration 259
+2016-08-24 18:59:59,274 DEBUG: View 0 : 0.458823529412
+2016-08-24 18:59:59,283 DEBUG: View 1 : 0.447058823529
+2016-08-24 18:59:59,328 DEBUG: View 2 : 0.523529411765
+2016-08-24 18:59:59,338 DEBUG: View 3 : 0.523529411765
+2016-08-24 19:00:00,100 DEBUG: Best view : Clinic
+2016-08-24 19:00:16,899 DEBUG: Start: Iteration 260
+2016-08-24 19:00:16,918 DEBUG: View 0 : 0.552941176471
+2016-08-24 19:00:16,927 DEBUG: View 1 : 0.7
+2016-08-24 19:00:16,974 DEBUG: View 2 : 0.688235294118
+2016-08-24 19:00:16,984 DEBUG: View 3 : 0.588235294118
+2016-08-24 19:00:17,753 DEBUG: Best view : MiRNA_
+2016-08-24 19:00:34,650 DEBUG: Start: Iteration 261
+2016-08-24 19:00:34,668 DEBUG: View 0 : 0.782352941176
+2016-08-24 19:00:34,676 DEBUG: View 1 : 0.335294117647
+2016-08-24 19:00:34,722 DEBUG: View 2 : 0.435294117647
+2016-08-24 19:00:34,732 DEBUG: View 3 : 0.517647058824
+2016-08-24 19:00:35,506 DEBUG: Best view : Methyl
+2016-08-24 19:00:52,454 DEBUG: Start: Iteration 262
+2016-08-24 19:00:52,473 DEBUG: View 0 : 0.605882352941
+2016-08-24 19:00:52,481 DEBUG: View 1 : 0.329411764706
+2016-08-24 19:00:52,528 DEBUG: View 2 : 0.405882352941
+2016-08-24 19:00:52,537 DEBUG: View 3 : 0.623529411765
+2016-08-24 19:00:53,315 DEBUG: Best view : Clinic
+2016-08-24 19:01:10,310 DEBUG: Start: Iteration 263
+2016-08-24 19:01:10,328 DEBUG: View 0 : 0.435294117647
+2016-08-24 19:01:10,337 DEBUG: View 1 : 0.764705882353
+2016-08-24 19:01:10,382 DEBUG: View 2 : 0.494117647059
+2016-08-24 19:01:10,392 DEBUG: View 3 : 0.629411764706
+2016-08-24 19:01:11,172 DEBUG: Best view : MiRNA_
+2016-08-24 19:01:28,302 DEBUG: Start: Iteration 264
+2016-08-24 19:01:28,320 DEBUG: View 0 : 0.511764705882
+2016-08-24 19:01:28,329 DEBUG: View 1 : 0.658823529412
+2016-08-24 19:01:28,375 DEBUG: View 2 : 0.647058823529
+2016-08-24 19:01:28,384 DEBUG: View 3 : 0.435294117647
+2016-08-24 19:01:29,161 DEBUG: Best view : MiRNA_
+2016-08-24 19:01:46,341 DEBUG: Start: Iteration 265
+2016-08-24 19:01:46,359 DEBUG: View 0 : 0.458823529412
+2016-08-24 19:01:46,368 DEBUG: View 1 : 0.417647058824
+2016-08-24 19:01:46,415 DEBUG: View 2 : 0.629411764706
+2016-08-24 19:01:46,424 DEBUG: View 3 : 0.629411764706
+2016-08-24 19:01:47,207 DEBUG: Best view : RANSeq
+2016-08-24 19:02:04,447 DEBUG: Start: Iteration 266
+2016-08-24 19:02:04,465 DEBUG: View 0 : 0.694117647059
+2016-08-24 19:02:04,474 DEBUG: View 1 : 0.329411764706
+2016-08-24 19:02:04,522 DEBUG: View 2 : 0.547058823529
+2016-08-24 19:02:04,531 DEBUG: View 3 : 0.652941176471
+2016-08-24 19:02:05,326 DEBUG: Best view : Methyl
+2016-08-24 19:02:22,610 DEBUG: Start: Iteration 267
+2016-08-24 19:02:22,628 DEBUG: View 0 : 0.547058823529
+2016-08-24 19:02:22,637 DEBUG: View 1 : 0.688235294118
+2016-08-24 19:02:22,683 DEBUG: View 2 : 0.517647058824
+2016-08-24 19:02:22,693 DEBUG: View 3 : 0.523529411765
+2016-08-24 19:02:23,480 DEBUG: Best view : MiRNA_
+2016-08-24 19:02:40,763 DEBUG: Start: Iteration 268
+2016-08-24 19:02:40,781 DEBUG: View 0 : 0.641176470588
+2016-08-24 19:02:40,789 DEBUG: View 1 : 0.323529411765
+2016-08-24 19:02:40,835 DEBUG: View 2 : 0.305882352941
+2016-08-24 19:02:40,845 DEBUG: View 3 : 0.623529411765
+2016-08-24 19:02:41,640 DEBUG: Best view : Methyl
+2016-08-24 19:02:59,111 DEBUG: Start: Iteration 269
+2016-08-24 19:02:59,129 DEBUG: View 0 : 0.470588235294
+2016-08-24 19:02:59,138 DEBUG: View 1 : 0.447058823529
+2016-08-24 19:02:59,184 DEBUG: View 2 : 0.535294117647
+2016-08-24 19:02:59,193 DEBUG: View 3 : 0.552941176471
+2016-08-24 19:02:59,988 DEBUG: Best view : Clinic
+2016-08-24 19:03:17,465 DEBUG: Start: Iteration 270
+2016-08-24 19:03:17,484 DEBUG: View 0 : 0.523529411765
+2016-08-24 19:03:17,493 DEBUG: View 1 : 0.723529411765
+2016-08-24 19:03:17,538 DEBUG: View 2 : 0.5
+2016-08-24 19:03:17,548 DEBUG: View 3 : 0.670588235294
+2016-08-24 19:03:18,347 DEBUG: Best view : MiRNA_
+2016-08-24 19:03:35,870 DEBUG: Start: Iteration 271
+2016-08-24 19:03:35,888 DEBUG: View 0 : 0.452941176471
+2016-08-24 19:03:35,897 DEBUG: View 1 : 0.582352941176
+2016-08-24 19:03:35,942 DEBUG: View 2 : 0.529411764706
+2016-08-24 19:03:35,952 DEBUG: View 3 : 0.547058823529
+2016-08-24 19:03:36,759 DEBUG: Best view : MiRNA_
+2016-08-24 19:03:54,343 DEBUG: Start: Iteration 272
+2016-08-24 19:03:54,361 DEBUG: View 0 : 0.6
+2016-08-24 19:03:54,370 DEBUG: View 1 : 0.435294117647
+2016-08-24 19:03:54,416 DEBUG: View 2 : 0.605882352941
+2016-08-24 19:03:54,426 DEBUG: View 3 : 0.611764705882
+2016-08-24 19:03:55,227 DEBUG: Best view : Clinic
+2016-08-24 19:04:12,869 DEBUG: Start: Iteration 273
+2016-08-24 19:04:12,888 DEBUG: View 0 : 0.511764705882
+2016-08-24 19:04:12,896 DEBUG: View 1 : 0.335294117647
+2016-08-24 19:04:12,942 DEBUG: View 2 : 0.617647058824
+2016-08-24 19:04:12,951 DEBUG: View 3 : 0.623529411765
+2016-08-24 19:04:13,752 DEBUG: Best view : Clinic
+2016-08-24 19:04:31,438 DEBUG: Start: Iteration 274
+2016-08-24 19:04:31,456 DEBUG: View 0 : 0.5
+2016-08-24 19:04:31,465 DEBUG: View 1 : 0.529411764706
+2016-08-24 19:04:31,511 DEBUG: View 2 : 0.652941176471
+2016-08-24 19:04:31,521 DEBUG: View 3 : 0.335294117647
+2016-08-24 19:04:32,339 DEBUG: Best view : RANSeq
+2016-08-24 19:04:50,123 DEBUG: Start: Iteration 275
+2016-08-24 19:04:50,141 DEBUG: View 0 : 0.464705882353
+2016-08-24 19:04:50,150 DEBUG: View 1 : 0.511764705882
+2016-08-24 19:04:50,196 DEBUG: View 2 : 0.570588235294
+2016-08-24 19:04:50,206 DEBUG: View 3 : 0.470588235294
+2016-08-24 19:04:51,019 DEBUG: Best view : RANSeq
+2016-08-24 19:05:08,872 DEBUG: Start: Iteration 276
+2016-08-24 19:05:08,890 DEBUG: View 0 : 0.394117647059
+2016-08-24 19:05:08,899 DEBUG: View 1 : 0.711764705882
+2016-08-24 19:05:08,944 DEBUG: View 2 : 0.470588235294
+2016-08-24 19:05:08,954 DEBUG: View 3 : 0.435294117647
+2016-08-24 19:05:09,767 DEBUG: Best view : MiRNA_
+2016-08-24 19:05:27,754 DEBUG: Start: Iteration 277
+2016-08-24 19:05:27,772 DEBUG: View 0 : 0.547058823529
+2016-08-24 19:05:27,781 DEBUG: View 1 : 0.417647058824
+2016-08-24 19:05:27,827 DEBUG: View 2 : 0.294117647059
+2016-08-24 19:05:27,836 DEBUG: View 3 : 0.411764705882
+2016-08-24 19:05:28,653 DEBUG: Best view : Methyl
+2016-08-24 19:05:46,639 DEBUG: Start: Iteration 278
+2016-08-24 19:05:46,657 DEBUG: View 0 : 0.464705882353
+2016-08-24 19:05:46,666 DEBUG: View 1 : 0.582352941176
+2016-08-24 19:05:46,712 DEBUG: View 2 : 0.476470588235
+2016-08-24 19:05:46,722 DEBUG: View 3 : 0.347058823529
+2016-08-24 19:05:47,542 DEBUG: Best view : MiRNA_
+2016-08-24 19:06:05,559 DEBUG: Start: Iteration 279
+2016-08-24 19:06:05,577 DEBUG: View 0 : 0.717647058824
+2016-08-24 19:06:05,586 DEBUG: View 1 : 0.605882352941
+2016-08-24 19:06:05,632 DEBUG: View 2 : 0.529411764706
+2016-08-24 19:06:05,642 DEBUG: View 3 : 0.582352941176
+2016-08-24 19:06:06,470 DEBUG: Best view : Methyl
+2016-08-24 19:06:24,567 DEBUG: Start: Iteration 280
+2016-08-24 19:06:24,585 DEBUG: View 0 : 0.705882352941
+2016-08-24 19:06:24,594 DEBUG: View 1 : 0.541176470588
+2016-08-24 19:06:24,639 DEBUG: View 2 : 0.547058823529
+2016-08-24 19:06:24,649 DEBUG: View 3 : 0.517647058824
+2016-08-24 19:06:25,476 DEBUG: Best view : Methyl
+2016-08-24 19:06:43,662 DEBUG: Start: Iteration 281
+2016-08-24 19:06:43,681 DEBUG: View 0 : 0.382352941176
+2016-08-24 19:06:43,689 DEBUG: View 1 : 0.717647058824
+2016-08-24 19:06:43,736 DEBUG: View 2 : 0.541176470588
+2016-08-24 19:06:43,745 DEBUG: View 3 : 0.558823529412
+2016-08-24 19:06:44,565 DEBUG: Best view : MiRNA_
+2016-08-24 19:07:02,790 DEBUG: Start: Iteration 282
+2016-08-24 19:07:02,808 DEBUG: View 0 : 0.717647058824
+2016-08-24 19:07:02,817 DEBUG: View 1 : 0.617647058824
+2016-08-24 19:07:02,862 DEBUG: View 2 : 0.458823529412
+2016-08-24 19:07:02,872 DEBUG: View 3 : 0.658823529412
+2016-08-24 19:07:03,701 DEBUG: Best view : Methyl
+2016-08-24 19:07:22,009 DEBUG: Start: Iteration 283
+2016-08-24 19:07:22,027 DEBUG: View 0 : 0.452941176471
+2016-08-24 19:07:22,036 DEBUG: View 1 : 0.658823529412
+2016-08-24 19:07:22,084 DEBUG: View 2 : 0.429411764706
+2016-08-24 19:07:22,093 DEBUG: View 3 : 0.435294117647
+2016-08-24 19:07:22,928 DEBUG: Best view : MiRNA_
+2016-08-24 19:07:41,281 DEBUG: Start: Iteration 284
+2016-08-24 19:07:41,299 DEBUG: View 0 : 0.652941176471
+2016-08-24 19:07:41,308 DEBUG: View 1 : 0.717647058824
+2016-08-24 19:07:41,356 DEBUG: View 2 : 0.347058823529
+2016-08-24 19:07:41,366 DEBUG: View 3 : 0.376470588235
+2016-08-24 19:07:42,197 DEBUG: Best view : MiRNA_
+2016-08-24 19:08:00,647 DEBUG: Start: Iteration 285
+2016-08-24 19:08:00,665 DEBUG: View 0 : 0.405882352941
+2016-08-24 19:08:00,674 DEBUG: View 1 : 0.282352941176
+2016-08-24 19:08:00,721 DEBUG: View 2 : 0.447058823529
+2016-08-24 19:08:00,731 DEBUG: View 3 : 0.505882352941
+2016-08-24 19:08:01,567 DEBUG: Best view : Clinic
+2016-08-24 19:08:20,070 DEBUG: Start: Iteration 286
+2016-08-24 19:08:20,089 DEBUG: View 0 : 0.388235294118
+2016-08-24 19:08:20,097 DEBUG: View 1 : 0.376470588235
+2016-08-24 19:08:20,145 DEBUG: View 2 : 0.458823529412
+2016-08-24 19:08:20,155 DEBUG: View 3 : 0.329411764706
+2016-08-24 19:08:20,155 WARNING: WARNING: All bad for iteration 285
+2016-08-24 19:08:20,999 DEBUG: Best view : RANSeq
+2016-08-24 19:08:39,588 DEBUG: Start: Iteration 287
+2016-08-24 19:08:39,606 DEBUG: View 0 : 0.664705882353
+2016-08-24 19:08:39,614 DEBUG: View 1 : 0.723529411765
+2016-08-24 19:08:39,663 DEBUG: View 2 : 0.594117647059
+2016-08-24 19:08:39,672 DEBUG: View 3 : 0.476470588235
+2016-08-24 19:08:40,518 DEBUG: Best view : MiRNA_
+2016-08-24 19:08:59,128 DEBUG: Start: Iteration 288
+2016-08-24 19:08:59,146 DEBUG: View 0 : 0.441176470588
+2016-08-24 19:08:59,155 DEBUG: View 1 : 0.335294117647
+2016-08-24 19:08:59,203 DEBUG: View 2 : 0.711764705882
+2016-08-24 19:08:59,213 DEBUG: View 3 : 0.335294117647
+2016-08-24 19:09:00,059 DEBUG: Best view : RANSeq
+2016-08-24 19:09:18,775 DEBUG: Start: Iteration 289
+2016-08-24 19:09:18,793 DEBUG: View 0 : 0.705882352941
+2016-08-24 19:09:18,802 DEBUG: View 1 : 0.476470588235
+2016-08-24 19:09:18,850 DEBUG: View 2 : 0.405882352941
+2016-08-24 19:09:18,860 DEBUG: View 3 : 0.364705882353
+2016-08-24 19:09:19,713 DEBUG: Best view : Methyl
+2016-08-24 19:09:38,486 DEBUG: Start: Iteration 290
+2016-08-24 19:09:38,504 DEBUG: View 0 : 0.711764705882
+2016-08-24 19:09:38,513 DEBUG: View 1 : 0.329411764706
+2016-08-24 19:09:38,560 DEBUG: View 2 : 0.552941176471
+2016-08-24 19:09:38,570 DEBUG: View 3 : 0.364705882353
+2016-08-24 19:09:39,428 DEBUG: Best view : Methyl
+2016-08-24 19:09:58,308 DEBUG: Start: Iteration 291
+2016-08-24 19:09:58,327 DEBUG: View 0 : 0.535294117647
+2016-08-24 19:09:58,336 DEBUG: View 1 : 0.382352941176
+2016-08-24 19:09:58,384 DEBUG: View 2 : 0.417647058824
+2016-08-24 19:09:58,394 DEBUG: View 3 : 0.411764705882
+2016-08-24 19:09:59,250 DEBUG: Best view : Methyl
+2016-08-24 19:10:18,206 DEBUG: Start: Iteration 292
+2016-08-24 19:10:18,223 DEBUG: View 0 : 0.682352941176
+2016-08-24 19:10:18,232 DEBUG: View 1 : 0.729411764706
+2016-08-24 19:10:18,280 DEBUG: View 2 : 0.523529411765
+2016-08-24 19:10:18,289 DEBUG: View 3 : 0.476470588235
+2016-08-24 19:10:19,144 DEBUG: Best view : MiRNA_
+2016-08-24 19:10:38,134 DEBUG: Start: Iteration 293
+2016-08-24 19:10:38,152 DEBUG: View 0 : 0.552941176471
+2016-08-24 19:10:38,161 DEBUG: View 1 : 0.711764705882
+2016-08-24 19:10:38,208 DEBUG: View 2 : 0.464705882353
+2016-08-24 19:10:38,219 DEBUG: View 3 : 0.676470588235
+2016-08-24 19:10:39,075 DEBUG: Best view : MiRNA_
+2016-08-24 19:10:58,085 DEBUG: Start: Iteration 294
+2016-08-24 19:10:58,103 DEBUG: View 0 : 0.452941176471
+2016-08-24 19:10:58,111 DEBUG: View 1 : 0.505882352941
+2016-08-24 19:10:58,159 DEBUG: View 2 : 0.688235294118
+2016-08-24 19:10:58,168 DEBUG: View 3 : 0.305882352941
+2016-08-24 19:10:59,035 DEBUG: Best view : RANSeq
+2016-08-24 19:11:18,122 DEBUG: Start: Iteration 295
+2016-08-24 19:11:18,140 DEBUG: View 0 : 0.594117647059
+2016-08-24 19:11:18,148 DEBUG: View 1 : 0.364705882353
+2016-08-24 19:11:18,196 DEBUG: View 2 : 0.688235294118
+2016-08-24 19:11:18,206 DEBUG: View 3 : 0.370588235294
+2016-08-24 19:11:19,072 DEBUG: Best view : RANSeq
+2016-08-24 19:11:38,260 DEBUG: Start: Iteration 296
+2016-08-24 19:11:38,278 DEBUG: View 0 : 0.476470588235
+2016-08-24 19:11:38,287 DEBUG: View 1 : 0.347058823529
+2016-08-24 19:11:38,335 DEBUG: View 2 : 0.441176470588
+2016-08-24 19:11:38,345 DEBUG: View 3 : 0.364705882353
+2016-08-24 19:11:38,345 WARNING: WARNING: All bad for iteration 295
+2016-08-24 19:11:39,215 DEBUG: Best view : Methyl
+2016-08-24 19:11:58,455 DEBUG: Start: Iteration 297
+2016-08-24 19:11:58,473 DEBUG: View 0 : 0.7
+2016-08-24 19:11:58,482 DEBUG: View 1 : 0.541176470588
+2016-08-24 19:11:58,532 DEBUG: View 2 : 0.652941176471
+2016-08-24 19:11:58,542 DEBUG: View 3 : 0.335294117647
+2016-08-24 19:11:59,427 DEBUG: Best view : Methyl
+2016-08-24 19:12:18,711 DEBUG: Start: Iteration 298
+2016-08-24 19:12:18,729 DEBUG: View 0 : 0.376470588235
+2016-08-24 19:12:18,737 DEBUG: View 1 : 0.470588235294
+2016-08-24 19:12:18,786 DEBUG: View 2 : 0.641176470588
+2016-08-24 19:12:18,796 DEBUG: View 3 : 0.564705882353
+2016-08-24 19:12:19,673 DEBUG: Best view : RANSeq
+2016-08-24 19:12:39,048 DEBUG: Start: Iteration 299
+2016-08-24 19:12:39,066 DEBUG: View 0 : 0.652941176471
+2016-08-24 19:12:39,074 DEBUG: View 1 : 0.358823529412
+2016-08-24 19:12:39,122 DEBUG: View 2 : 0.394117647059
+2016-08-24 19:12:39,132 DEBUG: View 3 : 0.329411764706
+2016-08-24 19:12:40,011 DEBUG: Best view : Methyl
+2016-08-24 19:12:59,468 DEBUG: Start: Iteration 300
+2016-08-24 19:12:59,487 DEBUG: View 0 : 0.605882352941
+2016-08-24 19:12:59,495 DEBUG: View 1 : 0.317647058824
+2016-08-24 19:12:59,545 DEBUG: View 2 : 0.494117647059
+2016-08-24 19:12:59,555 DEBUG: View 3 : 0.470588235294
+2016-08-24 19:13:00,445 DEBUG: Best view : Methyl
+2016-08-24 19:13:19,970 DEBUG: Start: Iteration 301
+2016-08-24 19:13:19,988 DEBUG: View 0 : 0.517647058824
+2016-08-24 19:13:19,997 DEBUG: View 1 : 0.358823529412
+2016-08-24 19:13:20,045 DEBUG: View 2 : 0.652941176471
+2016-08-24 19:13:20,055 DEBUG: View 3 : 0.494117647059
+2016-08-24 19:13:20,939 DEBUG: Best view : RANSeq
+2016-08-24 19:13:40,625 DEBUG: Start: Iteration 302
+2016-08-24 19:13:40,645 DEBUG: View 0 : 0.7
+2016-08-24 19:13:40,655 DEBUG: View 1 : 0.594117647059
+2016-08-24 19:13:40,708 DEBUG: View 2 : 0.7
+2016-08-24 19:13:40,719 DEBUG: View 3 : 0.558823529412
+2016-08-24 19:13:41,647 DEBUG: Best view : Methyl
+2016-08-24 19:14:01,298 INFO: Start: Classification
+2016-08-24 19:14:42,773 INFO: Done: Fold number 2
+2016-08-24 19:14:42,773 INFO: Done: Classification
+2016-08-24 19:14:42,773 INFO: Info: Time for Classification: 6509[s]
+2016-08-24 19:14:42,774 INFO: Start: Result Analysis for Mumbo
diff --git a/Code/MonoMutliViewClassifiers/Results/20160825-095006-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-MultiOmic-LOG.log b/Code/MonoMutliViewClassifiers/Results/20160825-095006-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-MultiOmic-LOG.log
new file mode 100644
index 00000000..febccc03
--- /dev/null
+++ b/Code/MonoMutliViewClassifiers/Results/20160825-095006-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-MultiOmic-LOG.log
@@ -0,0 +1,8 @@
+2016-08-25 09:50:06,447 INFO: Begginging
+2016-08-25 09:50:06,902 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:50:06,903 DEBUG: ### Classification - Database:MultiOmic Feature:MiRNA_ train_size:0.9, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 09:50:06,903 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:50:06,959 DEBUG: Info: Shape X_train:(312, 25978), Length of y_train:312
+2016-08-25 09:50:06,960 DEBUG: Info: Shape X_test:(35, 25978), Length of y_test:35
+2016-08-25 09:50:06,960 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:50:06,960 DEBUG: Start: Classification
diff --git a/Code/MonoMutliViewClassifiers/Results/20160825-095124-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-MultiOmic-LOG.log b/Code/MonoMutliViewClassifiers/Results/20160825-095124-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-MultiOmic-LOG.log
new file mode 100644
index 00000000..c13db510
--- /dev/null
+++ b/Code/MonoMutliViewClassifiers/Results/20160825-095124-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-MultiOmic-LOG.log
@@ -0,0 +1,89 @@
+2016-08-25 09:51:24,124 INFO: Begginging
+2016-08-25 09:51:24,186 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:51:24,186 DEBUG: ### Classification - Database:MultiOmic Feature:MiRNA_ train_size:0.9, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 09:51:24,186 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:51:24,210 DEBUG: Info: Shape X_train:(312, 25978), Length of y_train:312
+2016-08-25 09:51:24,210 DEBUG: Info: Shape X_test:(35, 25978), Length of y_test:35
+2016-08-25 09:51:24,210 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:51:24,210 DEBUG: Start: Classification
+2016-08-25 09:51:33,000 DEBUG: Info: Time for Classification: 8.71911692619[s]
+2016-08-25 09:51:33,000 DEBUG: Done: Classification
+2016-08-25 09:51:33,022 DEBUG: Start: Statistic Results
+2016-08-25 09:51:33,023 INFO: Accuracy :0.742857142857
+2016-08-25 09:51:33,036 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:51:33,036 DEBUG: ### Classification - Database:MultiOmic Feature:MiRNA_ train_size:0.9, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 09:51:33,036 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:51:33,048 DEBUG: Info: Shape X_train:(312, 25978), Length of y_train:312
+2016-08-25 09:51:33,048 DEBUG: Info: Shape X_test:(35, 25978), Length of y_test:35
+2016-08-25 09:51:33,048 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:51:33,048 DEBUG: Start: Classification
+2016-08-25 09:51:40,005 DEBUG: Info: Time for Classification: 6.96573996544[s]
+2016-08-25 09:51:40,005 DEBUG: Done: Classification
+2016-08-25 09:51:40,007 DEBUG: Start: Statistic Results
+2016-08-25 09:51:40,007 INFO: Accuracy :1.0
+2016-08-25 09:51:40,016 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:51:40,016 DEBUG: ### Classification - Database:MultiOmic Feature:MiRNA_ train_size:0.9, CrossValidation k-folds:2, cores:1, algorithm : KNN
+2016-08-25 09:51:40,017 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:51:40,029 DEBUG: Info: Shape X_train:(312, 25978), Length of y_train:312
+2016-08-25 09:51:40,030 DEBUG: Info: Shape X_test:(35, 25978), Length of y_test:35
+2016-08-25 09:51:40,030 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:51:40,030 DEBUG: Start: Classification
+2016-08-25 09:51:50,394 DEBUG: Info: Time for Classification: 10.3715598583[s]
+2016-08-25 09:51:50,394 DEBUG: Done: Classification
+2016-08-25 09:51:50,958 DEBUG: Start: Statistic Results
+2016-08-25 09:51:50,959 INFO: Accuracy :0.942857142857
+2016-08-25 09:51:50,973 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:51:50,973 DEBUG: ### Classification - Database:MultiOmic Feature:MiRNA_ train_size:0.9, CrossValidation k-folds:2, cores:1, algorithm : RandomForest
+2016-08-25 09:51:50,973 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:51:50,987 DEBUG: Info: Shape X_train:(312, 25978), Length of y_train:312
+2016-08-25 09:51:50,987 DEBUG: Info: Shape X_test:(35, 25978), Length of y_test:35
+2016-08-25 09:51:50,987 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:51:50,987 DEBUG: Start: Classification
+2016-08-25 09:51:58,555 DEBUG: Info: Time for Classification: 7.57835888863[s]
+2016-08-25 09:51:58,555 DEBUG: Done: Classification
+2016-08-25 09:51:58,568 DEBUG: Start: Statistic Results
+2016-08-25 09:51:58,568 INFO: Accuracy :0.8
+2016-08-25 09:51:58,577 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:51:58,577 DEBUG: ### Classification - Database:MultiOmic Feature:MiRNA_ train_size:0.9, CrossValidation k-folds:2, cores:1, algorithm : SGD
+2016-08-25 09:51:58,577 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:51:58,590 DEBUG: Info: Shape X_train:(312, 25978), Length of y_train:312
+2016-08-25 09:51:58,590 DEBUG: Info: Shape X_test:(35, 25978), Length of y_test:35
+2016-08-25 09:51:58,590 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:51:58,590 DEBUG: Start: Classification
+2016-08-25 09:52:00,152 DEBUG: Info: Time for Classification: 1.57103300095[s]
+2016-08-25 09:52:00,152 DEBUG: Done: Classification
+2016-08-25 09:52:00,156 DEBUG: Start: Statistic Results
+2016-08-25 09:52:00,156 INFO: Accuracy :0.771428571429
+2016-08-25 09:52:00,168 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:52:00,168 DEBUG: ### Classification - Database:MultiOmic Feature:MiRNA_ train_size:0.9, CrossValidation k-folds:2, cores:1, algorithm : SVMLinear
+2016-08-25 09:52:00,168 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:52:00,183 DEBUG: Info: Shape X_train:(312, 25978), Length of y_train:312
+2016-08-25 09:52:00,184 DEBUG: Info: Shape X_test:(35, 25978), Length of y_test:35
+2016-08-25 09:52:00,184 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:52:00,184 DEBUG: Start: Classification
+2016-08-25 09:52:08,021 DEBUG: Info: Time for Classification: 7.84802913666[s]
+2016-08-25 09:52:08,021 DEBUG: Done: Classification
+2016-08-25 09:52:08,170 DEBUG: Start: Statistic Results
+2016-08-25 09:52:08,170 INFO: Accuracy :0.971428571429
+2016-08-25 09:52:08,183 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:52:08,183 DEBUG: ### Classification - Database:MultiOmic Feature:MiRNA_ train_size:0.9, CrossValidation k-folds:2, cores:1, algorithm : SVMPoly
+2016-08-25 09:52:08,183 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:52:08,196 DEBUG: Info: Shape X_train:(312, 25978), Length of y_train:312
+2016-08-25 09:52:08,196 DEBUG: Info: Shape X_test:(35, 25978), Length of y_test:35
+2016-08-25 09:52:08,196 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:52:08,196 DEBUG: Start: Classification
+2016-08-25 09:52:35,761 DEBUG: Info: Time for Classification: 27.5747389793[s]
+2016-08-25 09:52:35,761 DEBUG: Done: Classification
+2016-08-25 09:52:35,917 DEBUG: Start: Statistic Results
+2016-08-25 09:52:35,917 INFO: Accuracy :0.942857142857
+2016-08-25 09:52:35,926 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:52:35,926 DEBUG: ### Classification - Database:MultiOmic Feature:MiRNA_ train_size:0.9, CrossValidation k-folds:2, cores:1, algorithm : SVMRBF
+2016-08-25 09:52:35,926 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:52:35,937 DEBUG: Info: Shape X_train:(312, 25978), Length of y_train:312
+2016-08-25 09:52:35,937 DEBUG: Info: Shape X_test:(35, 25978), Length of y_test:35
+2016-08-25 09:52:35,937 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:52:35,937 DEBUG: Start: Classification
+2016-08-25 09:52:43,959 DEBUG: Info: Time for Classification: 8.02944397926[s]
+2016-08-25 09:52:43,959 DEBUG: Done: Classification
+2016-08-25 09:52:44,145 DEBUG: Start: Statistic Results
+2016-08-25 09:52:44,146 INFO: Accuracy :0.914285714286
diff --git a/Code/MonoMutliViewClassifiers/Results/20160825-095531-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-MultiOmic-LOG.log b/Code/MonoMutliViewClassifiers/Results/20160825-095531-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-MultiOmic-LOG.log
new file mode 100644
index 00000000..70c89248
--- /dev/null
+++ b/Code/MonoMutliViewClassifiers/Results/20160825-095531-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-MultiOmic-LOG.log
@@ -0,0 +1,8 @@
+2016-08-25 09:55:31,328 INFO: Start: Finding all available mono- & multiview algorithms
+2016-08-25 09:55:31,348 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:55:31,348 DEBUG: ### Classification - Database:MultiOmic Feature:MiRNA_ train_size:0.9, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 09:55:31,348 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:55:31,371 DEBUG: Info: Shape X_train:(312, 25978), Length of y_train:312
+2016-08-25 09:55:31,371 DEBUG: Info: Shape X_test:(35, 25978), Length of y_test:35
+2016-08-25 09:55:31,372 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:55:31,372 DEBUG: Start: Classification
diff --git a/Code/MonoMutliViewClassifiers/Results/20160825-095558-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log b/Code/MonoMutliViewClassifiers/Results/20160825-095558-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
new file mode 100644
index 00000000..f26e84f8
--- /dev/null
+++ b/Code/MonoMutliViewClassifiers/Results/20160825-095558-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
@@ -0,0 +1,41 @@
+2016-08-25 09:55:58,318 INFO: Start: Finding all available mono- & multiview algorithms
+2016-08-25 09:55:58,709 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:55:58,709 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA_ train_size:0.9, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 09:55:58,709 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:55:58,733 DEBUG: Info: Shape X_train:(312, 25978), Length of y_train:312
+2016-08-25 09:55:58,733 DEBUG: Info: Shape X_test:(35, 25978), Length of y_test:35
+2016-08-25 09:55:58,733 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:55:58,733 DEBUG: Start: Classification
+2016-08-25 09:56:08,648 DEBUG: Info: Time for Classification: 9.93510890007[s]
+2016-08-25 09:56:08,648 DEBUG: Done: Classification
+2016-08-25 09:56:08,650 DEBUG: Start: Statistic Results
+2016-08-25 09:56:08,651 INFO: Accuracy :0.857142857143
+2016-08-25 09:56:08,672 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:56:08,672 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA_ train_size:0.9, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 09:56:08,672 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:56:08,688 DEBUG: Info: Shape X_train:(312, 25978), Length of y_train:312
+2016-08-25 09:56:08,688 DEBUG: Info: Shape X_test:(35, 25978), Length of y_test:35
+2016-08-25 09:56:08,688 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:56:08,688 DEBUG: Start: Classification
+2016-08-25 09:56:15,790 DEBUG: Info: Time for Classification: 7.11475300789[s]
+2016-08-25 09:56:15,790 DEBUG: Done: Classification
+2016-08-25 09:56:15,792 DEBUG: Start: Statistic Results
+2016-08-25 09:56:15,792 INFO: Accuracy :0.857142857143
+2016-08-25 09:56:15,813 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:56:15,813 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA_ train_size:0.9, CrossValidation k-folds:2, cores:1, algorithm : KNN
+2016-08-25 09:56:15,813 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:56:15,835 DEBUG: Info: Shape X_train:(312, 25978), Length of y_train:312
+2016-08-25 09:56:15,835 DEBUG: Info: Shape X_test:(35, 25978), Length of y_test:35
+2016-08-25 09:56:15,835 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:56:15,836 DEBUG: Start: Classification
+2016-08-25 09:56:25,691 DEBUG: Info: Time for Classification: 9.87491297722[s]
+2016-08-25 09:56:25,691 DEBUG: Done: Classification
+2016-08-25 09:56:26,261 DEBUG: Start: Statistic Results
+2016-08-25 09:56:26,262 INFO: Accuracy :0.885714285714
+2016-08-25 09:56:26,277 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:56:26,277 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA_ train_size:0.9, CrossValidation k-folds:2, cores:1, algorithm : RandomForest
+2016-08-25 09:56:26,277 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:56:26,288 DEBUG: Info: Shape X_train:(312, 25978), Length of y_train:312
+2016-08-25 09:56:26,289 DEBUG: Info: Shape X_test:(35, 25978), Length of y_test:35
+2016-08-25 09:56:26,289 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:56:26,289 DEBUG: Start: Classification
diff --git a/Code/MonoMutliViewClassifiers/Results/20160825-095629-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log b/Code/MonoMutliViewClassifiers/Results/20160825-095629-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
new file mode 100644
index 00000000..81669a3a
--- /dev/null
+++ b/Code/MonoMutliViewClassifiers/Results/20160825-095629-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
@@ -0,0 +1,19 @@
+2016-08-25 09:56:29,880 INFO: Start: Finding all available mono- & multiview algorithms
+2016-08-25 09:56:29,893 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:56:29,893 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 09:56:29,893 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:56:29,915 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 09:56:29,915 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 09:56:29,915 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:56:29,915 DEBUG: Start: Classification
+2016-08-25 09:56:37,193 DEBUG: Info: Time for Classification: 7.29693698883[s]
+2016-08-25 09:56:37,193 DEBUG: Done: Classification
+2016-08-25 09:56:37,198 DEBUG: Start: Statistic Results
+2016-08-25 09:56:37,199 INFO: Accuracy :0.838095238095
+2016-08-25 09:56:37,212 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:56:37,212 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 09:56:37,212 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:56:37,226 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 09:56:37,226 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 09:56:37,226 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:56:37,226 DEBUG: Start: Classification
diff --git a/Code/MonoMutliViewClassifiers/Results/20160825-095646-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log b/Code/MonoMutliViewClassifiers/Results/20160825-095646-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
new file mode 100644
index 00000000..bbc6b84c
--- /dev/null
+++ b/Code/MonoMutliViewClassifiers/Results/20160825-095646-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
@@ -0,0 +1,43 @@
+2016-08-25 09:56:46,701 INFO: Start: Finding all available mono- & multiview algorithms
+2016-08-25 09:56:47,338 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:56:47,339 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 09:56:47,339 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:56:47,392 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 09:56:47,393 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 09:56:47,393 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:56:47,393 DEBUG: Start: Classification
+2016-08-25 09:56:47,398 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:56:47,398 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 09:56:47,398 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:56:47,459 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:56:47,459 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : KNN
+2016-08-25 09:56:47,459 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:56:47,514 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:56:47,515 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : RandomForest
+2016-08-25 09:56:47,515 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:56:47,584 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 09:56:47,584 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 09:56:47,584 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:56:47,584 DEBUG: Start: Classification
+2016-08-25 09:56:47,713 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 09:56:47,713 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 09:56:47,714 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:56:47,714 DEBUG: Start: Classification
+2016-08-25 09:56:47,738 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 09:56:47,738 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 09:56:47,738 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:56:47,738 DEBUG: Start: Classification
+2016-08-25 09:56:51,086 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:56:51,087 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SGD
+2016-08-25 09:56:51,087 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:56:51,139 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 09:56:51,139 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 09:56:51,139 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:56:51,140 DEBUG: Start: Classification
+2016-08-25 09:56:51,192 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:56:51,192 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMLinear
+2016-08-25 09:56:51,192 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:56:51,245 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 09:56:51,246 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 09:56:51,246 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:56:51,246 DEBUG: Start: Classification
diff --git a/Code/MonoMutliViewClassifiers/Results/20160825-095702-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log b/Code/MonoMutliViewClassifiers/Results/20160825-095702-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
new file mode 100644
index 00000000..07d51742
--- /dev/null
+++ b/Code/MonoMutliViewClassifiers/Results/20160825-095702-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
@@ -0,0 +1,261 @@
+2016-08-25 09:57:02,550 INFO: Start: Finding all available mono- & multiview algorithms
+2016-08-25 09:57:02,932 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:57:02,933 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 09:57:02,933 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:57:02,947 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 09:57:02,947 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 09:57:02,947 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:57:02,947 DEBUG: Start: Classification
+2016-08-25 09:57:09,651 DEBUG: Info: Time for Classification: 6.63170599937[s]
+2016-08-25 09:57:09,651 DEBUG: Done: Classification
+2016-08-25 09:57:09,682 DEBUG: Start: Statistic Results
+2016-08-25 09:57:09,682 INFO: Accuracy :0.838095238095
+2016-08-25 09:57:09,694 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:57:09,694 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 09:57:09,694 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:57:09,705 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 09:57:09,705 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 09:57:09,705 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:57:09,705 DEBUG: Start: Classification
+2016-08-25 09:57:14,510 DEBUG: Info: Time for Classification: 4.81275606155[s]
+2016-08-25 09:57:14,510 DEBUG: Done: Classification
+2016-08-25 09:57:14,513 DEBUG: Start: Statistic Results
+2016-08-25 09:57:14,514 INFO: Accuracy :0.809523809524
+2016-08-25 09:57:14,526 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:57:14,526 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : KNN
+2016-08-25 09:57:14,526 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:57:14,538 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 09:57:14,538 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 09:57:14,538 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:57:14,538 DEBUG: Start: Classification
+2016-08-25 09:57:20,888 DEBUG: Info: Time for Classification: 6.3594751358[s]
+2016-08-25 09:57:20,889 DEBUG: Done: Classification
+2016-08-25 09:57:22,151 DEBUG: Start: Statistic Results
+2016-08-25 09:57:22,152 INFO: Accuracy :0.87619047619
+2016-08-25 09:57:22,160 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:57:22,160 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : RandomForest
+2016-08-25 09:57:22,160 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:57:22,172 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 09:57:22,172 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 09:57:22,172 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:57:22,172 DEBUG: Start: Classification
+2016-08-25 09:57:27,748 DEBUG: Info: Time for Classification: 5.58509707451[s]
+2016-08-25 09:57:27,748 DEBUG: Done: Classification
+2016-08-25 09:57:27,763 DEBUG: Start: Statistic Results
+2016-08-25 09:57:27,764 INFO: Accuracy :0.87619047619
+2016-08-25 09:57:27,772 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:57:27,773 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SGD
+2016-08-25 09:57:27,773 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:57:27,785 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 09:57:27,785 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 09:57:27,786 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:57:27,786 DEBUG: Start: Classification
+2016-08-25 09:57:28,974 DEBUG: Info: Time for Classification: 1.19820904732[s]
+2016-08-25 09:57:28,975 DEBUG: Done: Classification
+2016-08-25 09:57:28,984 DEBUG: Start: Statistic Results
+2016-08-25 09:57:28,984 INFO: Accuracy :0.904761904762
+2016-08-25 09:57:28,994 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:57:28,994 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMLinear
+2016-08-25 09:57:28,994 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:57:29,009 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 09:57:29,010 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 09:57:29,010 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:57:29,010 DEBUG: Start: Classification
+2016-08-25 09:57:33,704 DEBUG: Info: Time for Classification: 4.70660495758[s]
+2016-08-25 09:57:33,704 DEBUG: Done: Classification
+2016-08-25 09:57:34,033 DEBUG: Start: Statistic Results
+2016-08-25 09:57:34,033 INFO: Accuracy :0.885714285714
+2016-08-25 09:57:34,042 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:57:34,042 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMPoly
+2016-08-25 09:57:34,042 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:57:34,055 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 09:57:34,055 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 09:57:34,055 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:57:34,055 DEBUG: Start: Classification
+2016-08-25 09:57:49,625 DEBUG: Info: Time for Classification: 15.5797770023[s]
+2016-08-25 09:57:49,625 DEBUG: Done: Classification
+2016-08-25 09:57:49,953 DEBUG: Start: Statistic Results
+2016-08-25 09:57:49,954 INFO: Accuracy :0.92380952381
+2016-08-25 09:57:49,962 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:57:49,962 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMRBF
+2016-08-25 09:57:49,962 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:57:49,975 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 09:57:49,975 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 09:57:49,975 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:57:49,975 DEBUG: Start: Classification
+2016-08-25 09:57:54,196 DEBUG: Info: Time for Classification: 4.2311091423[s]
+2016-08-25 09:57:54,197 DEBUG: Done: Classification
+2016-08-25 09:57:54,518 DEBUG: Start: Statistic Results
+2016-08-25 09:57:54,519 INFO: Accuracy :0.87619047619
+2016-08-25 09:57:54,706 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:57:54,706 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RNASeq train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 09:57:54,706 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:57:54,707 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 09:57:54,707 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 09:57:54,707 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:57:54,707 DEBUG: Start: Classification
+2016-08-25 09:57:54,944 DEBUG: Info: Time for Classification: 0.235062122345[s]
+2016-08-25 09:57:54,944 DEBUG: Done: Classification
+2016-08-25 09:57:54,946 DEBUG: Start: Statistic Results
+2016-08-25 09:57:54,946 INFO: Accuracy :0.761904761905
+2016-08-25 09:57:54,947 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:57:54,947 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RNASeq train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 09:57:54,948 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:57:54,948 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 09:57:54,948 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 09:57:54,948 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:57:54,948 DEBUG: Start: Classification
+2016-08-25 09:57:55,124 DEBUG: Info: Time for Classification: 0.173202037811[s]
+2016-08-25 09:57:55,124 DEBUG: Done: Classification
+2016-08-25 09:57:55,125 DEBUG: Start: Statistic Results
+2016-08-25 09:57:55,125 INFO: Accuracy :0.742857142857
+2016-08-25 09:57:55,127 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:57:55,127 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RNASeq train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : KNN
+2016-08-25 09:57:55,127 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:57:55,127 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 09:57:55,127 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 09:57:55,128 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:57:55,128 DEBUG: Start: Classification
+2016-08-25 09:57:55,347 DEBUG: Info: Time for Classification: 0.216780900955[s]
+2016-08-25 09:57:55,347 DEBUG: Done: Classification
+2016-08-25 09:57:55,386 DEBUG: Start: Statistic Results
+2016-08-25 09:57:55,386 INFO: Accuracy :0.790476190476
+2016-08-25 09:57:55,388 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:57:55,388 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RNASeq train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : RandomForest
+2016-08-25 09:57:55,388 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:57:55,388 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 09:57:55,389 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 09:57:55,389 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:57:55,389 DEBUG: Start: Classification
+2016-08-25 09:57:58,105 DEBUG: Info: Time for Classification: 2.71416091919[s]
+2016-08-25 09:57:58,105 DEBUG: Done: Classification
+2016-08-25 09:57:58,123 DEBUG: Start: Statistic Results
+2016-08-25 09:57:58,123 INFO: Accuracy :0.87619047619
+2016-08-25 09:57:58,124 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:57:58,125 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RNASeq train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SGD
+2016-08-25 09:57:58,125 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:57:58,125 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 09:57:58,125 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 09:57:58,125 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:57:58,126 DEBUG: Start: Classification
+2016-08-25 09:57:58,207 DEBUG: Info: Time for Classification: 0.0786328315735[s]
+2016-08-25 09:57:58,207 DEBUG: Done: Classification
+2016-08-25 09:57:58,208 DEBUG: Start: Statistic Results
+2016-08-25 09:57:58,209 INFO: Accuracy :0.819047619048
+2016-08-25 09:57:58,210 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:57:58,210 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RNASeq train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMLinear
+2016-08-25 09:57:58,210 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:57:58,211 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 09:57:58,211 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 09:57:58,211 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:57:58,211 DEBUG: Start: Classification
+2016-08-25 09:58:01,744 DEBUG: Info: Time for Classification: 3.5306661129[s]
+2016-08-25 09:58:01,744 DEBUG: Done: Classification
+2016-08-25 09:58:01,752 DEBUG: Start: Statistic Results
+2016-08-25 09:58:01,752 INFO: Accuracy :0.819047619048
+2016-08-25 09:58:01,754 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:58:01,754 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RNASeq train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMPoly
+2016-08-25 09:58:01,754 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:58:01,754 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 09:58:01,755 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 09:58:01,755 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:58:01,755 DEBUG: Start: Classification
+2016-08-25 09:58:04,956 DEBUG: Info: Time for Classification: 3.19874405861[s]
+2016-08-25 09:58:04,956 DEBUG: Done: Classification
+2016-08-25 09:58:04,964 DEBUG: Start: Statistic Results
+2016-08-25 09:58:04,965 INFO: Accuracy :0.847619047619
+2016-08-25 09:58:04,966 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:58:04,966 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RNASeq train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMRBF
+2016-08-25 09:58:04,966 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:58:04,967 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 09:58:04,967 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 09:58:04,967 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:58:04,967 DEBUG: Start: Classification
+2016-08-25 09:58:05,317 DEBUG: Info: Time for Classification: 0.347983837128[s]
+2016-08-25 09:58:05,317 DEBUG: Done: Classification
+2016-08-25 09:58:05,346 DEBUG: Start: Statistic Results
+2016-08-25 09:58:05,346 INFO: Accuracy :0.780952380952
+2016-08-25 09:58:06,528 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:58:06,529 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 09:58:06,529 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:58:06,586 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 09:58:06,586 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 09:58:06,586 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:58:06,586 DEBUG: Start: Classification
+2016-08-25 09:58:30,020 DEBUG: Info: Time for Classification: 23.4878640175[s]
+2016-08-25 09:58:30,020 DEBUG: Done: Classification
+2016-08-25 09:58:30,031 DEBUG: Start: Statistic Results
+2016-08-25 09:58:30,031 INFO: Accuracy :0.552380952381
+2016-08-25 09:58:30,066 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:58:30,066 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 09:58:30,066 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:58:30,103 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 09:58:30,103 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 09:58:30,103 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:58:30,103 DEBUG: Start: Classification
+2016-08-25 09:58:44,565 DEBUG: Info: Time for Classification: 14.4965980053[s]
+2016-08-25 09:58:44,566 DEBUG: Done: Classification
+2016-08-25 09:58:44,572 DEBUG: Start: Statistic Results
+2016-08-25 09:58:44,572 INFO: Accuracy :0.67619047619
+2016-08-25 09:58:44,602 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:58:44,602 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : KNN
+2016-08-25 09:58:44,602 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:58:44,635 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 09:58:44,635 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 09:58:44,635 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:58:44,635 DEBUG: Start: Classification
+2016-08-25 09:59:01,389 DEBUG: Info: Time for Classification: 16.784001112[s]
+2016-08-25 09:59:01,389 DEBUG: Done: Classification
+2016-08-25 09:59:04,830 DEBUG: Start: Statistic Results
+2016-08-25 09:59:04,831 INFO: Accuracy :0.733333333333
+2016-08-25 09:59:04,871 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:59:04,871 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : RandomForest
+2016-08-25 09:59:04,872 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:59:04,905 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 09:59:04,905 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 09:59:04,905 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:59:04,905 DEBUG: Start: Classification
+2016-08-25 09:59:12,387 DEBUG: Info: Time for Classification: 7.51290988922[s]
+2016-08-25 09:59:12,388 DEBUG: Done: Classification
+2016-08-25 09:59:12,396 DEBUG: Start: Statistic Results
+2016-08-25 09:59:12,396 INFO: Accuracy :0.619047619048
+2016-08-25 09:59:12,427 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:59:12,427 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SGD
+2016-08-25 09:59:12,427 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:59:12,461 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 09:59:12,461 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 09:59:12,461 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:59:12,461 DEBUG: Start: Classification
+2016-08-25 09:59:14,501 DEBUG: Info: Time for Classification: 2.07080006599[s]
+2016-08-25 09:59:14,501 DEBUG: Done: Classification
+2016-08-25 09:59:14,527 DEBUG: Start: Statistic Results
+2016-08-25 09:59:14,530 INFO: Accuracy :0.514285714286
+2016-08-25 09:59:14,563 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:59:14,563 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMLinear
+2016-08-25 09:59:14,563 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:59:14,603 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 09:59:14,603 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 09:59:14,604 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:59:14,604 DEBUG: Start: Classification
+2016-08-25 09:59:34,815 DEBUG: Info: Time for Classification: 20.248374939[s]
+2016-08-25 09:59:34,815 DEBUG: Done: Classification
+2016-08-25 09:59:36,226 DEBUG: Start: Statistic Results
+2016-08-25 09:59:36,226 INFO: Accuracy :0.666666666667
+2016-08-25 09:59:36,264 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 09:59:36,264 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMPoly
+2016-08-25 09:59:36,264 DEBUG: Start: Determine Train/Test split
+2016-08-25 09:59:36,298 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 09:59:36,298 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 09:59:36,298 DEBUG: Done: Determine Train/Test split
+2016-08-25 09:59:36,298 DEBUG: Start: Classification
+2016-08-25 10:00:47,095 DEBUG: Info: Time for Classification: 70.827589035[s]
+2016-08-25 10:00:47,095 DEBUG: Done: Classification
+2016-08-25 10:00:48,573 DEBUG: Start: Statistic Results
+2016-08-25 10:00:48,573 INFO: Accuracy :0.638095238095
+2016-08-25 10:00:48,609 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:00:48,609 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMRBF
+2016-08-25 10:00:48,609 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:00:48,644 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:00:48,645 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:00:48,645 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:00:48,645 DEBUG: Start: Classification
diff --git a/Code/MonoMutliViewClassifiers/Results/20160825-100239-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log b/Code/MonoMutliViewClassifiers/Results/20160825-100239-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
new file mode 100644
index 00000000..1894db59
--- /dev/null
+++ b/Code/MonoMutliViewClassifiers/Results/20160825-100239-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
@@ -0,0 +1,19 @@
+2016-08-25 10:02:39,609 INFO: Start: Finding all available mono- & multiview algorithms
+2016-08-25 10:02:40,264 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:02:40,264 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 10:02:40,264 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:02:40,278 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:02:40,279 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:02:40,279 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:02:40,279 DEBUG: Start: Classification
+2016-08-25 10:02:46,914 DEBUG: Info: Time for Classification: 6.64618396759[s]
+2016-08-25 10:02:46,914 DEBUG: Done: Classification
+2016-08-25 10:02:46,919 DEBUG: Start: Statistic Results
+2016-08-25 10:02:46,920 INFO: Accuracy :0.828571428571
+2016-08-25 10:02:46,931 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:02:46,931 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 10:02:46,931 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:02:46,942 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:02:46,943 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:02:46,943 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:02:46,943 DEBUG: Start: Classification
diff --git a/Code/MonoMutliViewClassifiers/Results/20160825-100455-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log b/Code/MonoMutliViewClassifiers/Results/20160825-100455-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
new file mode 100644
index 00000000..2d22e378
--- /dev/null
+++ b/Code/MonoMutliViewClassifiers/Results/20160825-100455-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
@@ -0,0 +1,353 @@
+2016-08-25 10:04:55,020 INFO: Start: Finding all available mono- & multiview algorithms
+2016-08-25 10:04:55,034 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:04:55,034 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 10:04:55,034 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:04:55,048 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:04:55,048 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:04:55,048 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:04:55,048 DEBUG: Start: Classification
+2016-08-25 10:05:01,514 DEBUG: Info: Time for Classification: 6.48774385452[s]
+2016-08-25 10:05:01,514 DEBUG: Done: Classification
+2016-08-25 10:05:01,519 DEBUG: Start: Statistic Results
+2016-08-25 10:05:01,519 INFO: Accuracy :0.857142857143
+2016-08-25 10:05:01,531 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:05:01,531 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 10:05:01,531 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:05:01,542 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:05:01,542 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:05:01,542 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:05:01,543 DEBUG: Start: Classification
+2016-08-25 10:05:05,990 DEBUG: Info: Time for Classification: 4.46606993675[s]
+2016-08-25 10:05:05,990 DEBUG: Done: Classification
+2016-08-25 10:05:05,993 DEBUG: Start: Statistic Results
+2016-08-25 10:05:05,993 INFO: Accuracy :0.847619047619
+2016-08-25 10:05:06,002 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:05:06,002 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : KNN
+2016-08-25 10:05:06,002 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:05:06,014 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:05:06,015 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:05:06,015 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:05:06,015 DEBUG: Start: Classification
+2016-08-25 10:05:11,615 DEBUG: Info: Time for Classification: 5.61772084236[s]
+2016-08-25 10:05:11,616 DEBUG: Done: Classification
+2016-08-25 10:05:12,886 DEBUG: Start: Statistic Results
+2016-08-25 10:05:12,886 INFO: Accuracy :0.885714285714
+2016-08-25 10:05:12,898 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:05:12,898 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : RandomForest
+2016-08-25 10:05:12,898 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:05:12,911 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:05:12,911 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:05:12,911 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:05:12,911 DEBUG: Start: Classification
+2016-08-25 10:05:18,737 DEBUG: Info: Time for Classification: 5.84569501877[s]
+2016-08-25 10:05:18,737 DEBUG: Done: Classification
+2016-08-25 10:05:18,752 DEBUG: Start: Statistic Results
+2016-08-25 10:05:18,752 INFO: Accuracy :0.866666666667
+2016-08-25 10:05:18,761 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:05:18,761 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SGD
+2016-08-25 10:05:18,761 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:05:18,773 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:05:18,773 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:05:18,773 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:05:18,773 DEBUG: Start: Classification
+2016-08-25 10:05:19,919 DEBUG: Info: Time for Classification: 1.16240906715[s]
+2016-08-25 10:05:19,919 DEBUG: Done: Classification
+2016-08-25 10:05:19,929 DEBUG: Start: Statistic Results
+2016-08-25 10:05:19,929 INFO: Accuracy :0.904761904762
+2016-08-25 10:05:19,941 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:05:19,941 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMLinear
+2016-08-25 10:05:19,942 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:05:19,955 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:05:19,956 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:05:19,956 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:05:19,956 DEBUG: Start: Classification
+2016-08-25 10:05:24,553 DEBUG: Info: Time for Classification: 4.61874198914[s]
+2016-08-25 10:05:24,553 DEBUG: Done: Classification
+2016-08-25 10:05:24,882 DEBUG: Start: Statistic Results
+2016-08-25 10:05:24,882 INFO: Accuracy :0.857142857143
+2016-08-25 10:05:24,894 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:05:24,894 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMPoly
+2016-08-25 10:05:24,894 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:05:24,906 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:05:24,906 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:05:24,906 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:05:24,906 DEBUG: Start: Classification
+2016-08-25 10:05:42,489 DEBUG: Info: Time for Classification: 17.6021790504[s]
+2016-08-25 10:05:42,489 DEBUG: Done: Classification
+2016-08-25 10:05:42,840 DEBUG: Start: Statistic Results
+2016-08-25 10:05:42,840 INFO: Accuracy :0.914285714286
+2016-08-25 10:05:42,852 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:05:42,852 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMRBF
+2016-08-25 10:05:42,852 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:05:42,864 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:05:42,864 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:05:42,864 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:05:42,864 DEBUG: Start: Classification
+2016-08-25 10:05:47,306 DEBUG: Info: Time for Classification: 4.46131205559[s]
+2016-08-25 10:05:47,307 DEBUG: Done: Classification
+2016-08-25 10:05:47,592 DEBUG: Start: Statistic Results
+2016-08-25 10:05:47,592 INFO: Accuracy :0.904761904762
+2016-08-25 10:05:47,594 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:05:47,595 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 10:05:47,595 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:05:47,595 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 10:05:47,595 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 10:05:47,595 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:05:47,595 DEBUG: Start: Classification
+2016-08-25 10:05:47,813 DEBUG: Info: Time for Classification: 0.216156005859[s]
+2016-08-25 10:05:47,813 DEBUG: Done: Classification
+2016-08-25 10:05:47,815 DEBUG: Start: Statistic Results
+2016-08-25 10:05:47,815 INFO: Accuracy :0.847619047619
+2016-08-25 10:05:47,816 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:05:47,816 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 10:05:47,817 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:05:47,817 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 10:05:47,817 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 10:05:47,817 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:05:47,817 DEBUG: Start: Classification
+2016-08-25 10:05:47,997 DEBUG: Info: Time for Classification: 0.177656173706[s]
+2016-08-25 10:05:47,997 DEBUG: Done: Classification
+2016-08-25 10:05:47,998 DEBUG: Start: Statistic Results
+2016-08-25 10:05:47,998 INFO: Accuracy :0.828571428571
+2016-08-25 10:05:48,000 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:05:48,000 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : KNN
+2016-08-25 10:05:48,000 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:05:48,000 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 10:05:48,000 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 10:05:48,000 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:05:48,001 DEBUG: Start: Classification
+2016-08-25 10:05:48,214 DEBUG: Info: Time for Classification: 0.211930990219[s]
+2016-08-25 10:05:48,214 DEBUG: Done: Classification
+2016-08-25 10:05:48,254 DEBUG: Start: Statistic Results
+2016-08-25 10:05:48,254 INFO: Accuracy :0.828571428571
+2016-08-25 10:05:48,255 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:05:48,255 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : RandomForest
+2016-08-25 10:05:48,256 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:05:48,256 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 10:05:48,256 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 10:05:48,256 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:05:48,256 DEBUG: Start: Classification
+2016-08-25 10:05:50,514 DEBUG: Info: Time for Classification: 2.25606894493[s]
+2016-08-25 10:05:50,514 DEBUG: Done: Classification
+2016-08-25 10:05:50,518 DEBUG: Start: Statistic Results
+2016-08-25 10:05:50,518 INFO: Accuracy :0.866666666667
+2016-08-25 10:05:50,519 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:05:50,519 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SGD
+2016-08-25 10:05:50,520 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:05:50,520 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 10:05:50,520 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 10:05:50,520 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:05:50,520 DEBUG: Start: Classification
+2016-08-25 10:05:50,601 DEBUG: Info: Time for Classification: 0.0781831741333[s]
+2016-08-25 10:05:50,601 DEBUG: Done: Classification
+2016-08-25 10:05:50,602 DEBUG: Start: Statistic Results
+2016-08-25 10:05:50,603 INFO: Accuracy :0.742857142857
+2016-08-25 10:05:50,604 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:05:50,604 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMLinear
+2016-08-25 10:05:50,604 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:05:50,605 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 10:05:50,605 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 10:05:50,605 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:05:50,605 DEBUG: Start: Classification
+2016-08-25 10:05:52,653 DEBUG: Info: Time for Classification: 2.0466401577[s]
+2016-08-25 10:05:52,653 DEBUG: Done: Classification
+2016-08-25 10:05:52,687 DEBUG: Start: Statistic Results
+2016-08-25 10:05:52,687 INFO: Accuracy :0.685714285714
+2016-08-25 10:05:52,689 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:05:52,689 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMPoly
+2016-08-25 10:05:52,689 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:05:52,689 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 10:05:52,690 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 10:05:52,690 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:05:52,690 DEBUG: Start: Classification
+2016-08-25 10:06:00,532 DEBUG: Info: Time for Classification: 7.84064602852[s]
+2016-08-25 10:06:00,532 DEBUG: Done: Classification
+2016-08-25 10:06:00,541 DEBUG: Start: Statistic Results
+2016-08-25 10:06:00,542 INFO: Accuracy :0.790476190476
+2016-08-25 10:06:00,543 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:06:00,543 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMRBF
+2016-08-25 10:06:00,543 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:06:00,544 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 10:06:00,544 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 10:06:00,544 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:06:00,544 DEBUG: Start: Classification
+2016-08-25 10:06:00,895 DEBUG: Info: Time for Classification: 0.349761009216[s]
+2016-08-25 10:06:00,896 DEBUG: Done: Classification
+2016-08-25 10:06:00,925 DEBUG: Start: Statistic Results
+2016-08-25 10:06:00,925 INFO: Accuracy :0.790476190476
+2016-08-25 10:06:00,954 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:06:00,954 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 10:06:00,954 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:06:00,992 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:06:00,992 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:06:00,992 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:06:00,992 DEBUG: Start: Classification
+2016-08-25 10:06:29,711 DEBUG: Info: Time for Classification: 28.7823779583[s]
+2016-08-25 10:06:29,712 DEBUG: Done: Classification
+2016-08-25 10:06:29,722 DEBUG: Start: Statistic Results
+2016-08-25 10:06:29,723 INFO: Accuracy :0.533333333333
+2016-08-25 10:06:29,753 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:06:29,754 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 10:06:29,754 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:06:29,791 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:06:29,791 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:06:29,791 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:06:29,791 DEBUG: Start: Classification
+2016-08-25 10:06:45,294 DEBUG: Info: Time for Classification: 15.5659360886[s]
+2016-08-25 10:06:45,294 DEBUG: Done: Classification
+2016-08-25 10:06:45,300 DEBUG: Start: Statistic Results
+2016-08-25 10:06:45,300 INFO: Accuracy :0.638095238095
+2016-08-25 10:06:45,331 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:06:45,331 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : KNN
+2016-08-25 10:06:45,331 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:06:45,366 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:06:45,367 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:06:45,367 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:06:45,367 DEBUG: Start: Classification
+2016-08-25 10:07:01,881 DEBUG: Info: Time for Classification: 16.5768017769[s]
+2016-08-25 10:07:01,881 DEBUG: Done: Classification
+2016-08-25 10:07:05,357 DEBUG: Start: Statistic Results
+2016-08-25 10:07:05,357 INFO: Accuracy :0.752380952381
+2016-08-25 10:07:06,366 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:07:06,366 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : RandomForest
+2016-08-25 10:07:06,367 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:07:06,400 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:07:06,401 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:07:06,401 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:07:06,401 DEBUG: Start: Classification
+2016-08-25 10:07:16,804 DEBUG: Info: Time for Classification: 11.4404859543[s]
+2016-08-25 10:07:16,804 DEBUG: Done: Classification
+2016-08-25 10:07:16,828 DEBUG: Start: Statistic Results
+2016-08-25 10:07:16,829 INFO: Accuracy :0.742857142857
+2016-08-25 10:07:16,859 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:07:16,859 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SGD
+2016-08-25 10:07:16,859 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:07:16,893 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:07:16,893 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:07:16,893 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:07:16,893 DEBUG: Start: Classification
+2016-08-25 10:07:18,989 DEBUG: Info: Time for Classification: 2.15453696251[s]
+2016-08-25 10:07:18,989 DEBUG: Done: Classification
+2016-08-25 10:07:19,014 DEBUG: Start: Statistic Results
+2016-08-25 10:07:19,015 INFO: Accuracy :0.72380952381
+2016-08-25 10:07:19,046 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:07:19,047 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMLinear
+2016-08-25 10:07:19,047 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:07:19,084 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:07:19,084 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:07:19,084 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:07:19,084 DEBUG: Start: Classification
+2016-08-25 10:07:40,510 DEBUG: Info: Time for Classification: 21.4908599854[s]
+2016-08-25 10:07:40,510 DEBUG: Done: Classification
+2016-08-25 10:07:42,085 DEBUG: Start: Statistic Results
+2016-08-25 10:07:42,085 INFO: Accuracy :0.647619047619
+2016-08-25 10:07:42,121 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:07:42,122 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMPoly
+2016-08-25 10:07:42,122 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:07:42,155 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:07:42,155 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:07:42,155 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:07:42,156 DEBUG: Start: Classification
+2016-08-25 10:08:52,464 DEBUG: Info: Time for Classification: 70.3692479134[s]
+2016-08-25 10:08:52,464 DEBUG: Done: Classification
+2016-08-25 10:08:53,977 DEBUG: Start: Statistic Results
+2016-08-25 10:08:53,977 INFO: Accuracy :0.580952380952
+2016-08-25 10:08:54,013 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:08:54,014 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMRBF
+2016-08-25 10:08:54,014 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:08:54,048 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:08:54,048 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:08:54,048 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:08:54,048 DEBUG: Start: Classification
+2016-08-25 10:09:18,811 DEBUG: Info: Time for Classification: 24.7039911747[s]
+2016-08-25 10:09:18,811 DEBUG: Done: Classification
+2016-08-25 10:09:20,884 DEBUG: Start: Statistic Results
+2016-08-25 10:09:20,885 INFO: Accuracy :0.695238095238
+2016-08-25 10:09:21,150 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:09:21,150 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 10:09:21,150 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:09:21,150 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 10:09:21,150 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 10:09:21,151 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:09:21,151 DEBUG: Start: Classification
+2016-08-25 10:09:21,245 DEBUG: Info: Time for Classification: 0.213603973389[s]
+2016-08-25 10:09:21,245 DEBUG: Done: Classification
+2016-08-25 10:09:21,246 DEBUG: Start: Statistic Results
+2016-08-25 10:09:21,247 INFO: Accuracy :0.790476190476
+2016-08-25 10:09:21,248 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:09:21,248 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 10:09:21,248 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:09:21,248 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 10:09:21,248 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 10:09:21,248 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:09:21,248 DEBUG: Start: Classification
+2016-08-25 10:09:21,289 DEBUG: Info: Time for Classification: 0.0388748645782[s]
+2016-08-25 10:09:21,290 DEBUG: Done: Classification
+2016-08-25 10:09:21,291 DEBUG: Start: Statistic Results
+2016-08-25 10:09:21,291 INFO: Accuracy :0.685714285714
+2016-08-25 10:09:21,292 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:09:21,292 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : KNN
+2016-08-25 10:09:21,292 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:09:21,293 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 10:09:21,293 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 10:09:21,293 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:09:21,293 DEBUG: Start: Classification
+2016-08-25 10:09:21,647 DEBUG: Info: Time for Classification: 0.352048873901[s]
+2016-08-25 10:09:21,647 DEBUG: Done: Classification
+2016-08-25 10:09:21,653 DEBUG: Start: Statistic Results
+2016-08-25 10:09:21,653 INFO: Accuracy :0.685714285714
+2016-08-25 10:09:21,654 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:09:21,654 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : RandomForest
+2016-08-25 10:09:21,654 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:09:21,654 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 10:09:21,654 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 10:09:21,655 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:09:21,655 DEBUG: Start: Classification
+2016-08-25 10:09:24,967 DEBUG: Info: Time for Classification: 3.31009101868[s]
+2016-08-25 10:09:24,967 DEBUG: Done: Classification
+2016-08-25 10:09:24,976 DEBUG: Start: Statistic Results
+2016-08-25 10:09:24,976 INFO: Accuracy :0.847619047619
+2016-08-25 10:09:24,977 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:09:24,977 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SGD
+2016-08-25 10:09:24,977 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:09:24,977 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 10:09:24,977 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 10:09:24,978 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:09:24,978 DEBUG: Start: Classification
+2016-08-25 10:09:25,075 DEBUG: Info: Time for Classification: 0.0947070121765[s]
+2016-08-25 10:09:25,075 DEBUG: Done: Classification
+2016-08-25 10:09:25,077 DEBUG: Start: Statistic Results
+2016-08-25 10:09:25,077 INFO: Accuracy :0.361904761905
+2016-08-25 10:09:25,078 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:09:25,078 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMLinear
+2016-08-25 10:09:25,078 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:09:25,079 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 10:09:25,079 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 10:09:25,079 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:09:25,079 DEBUG: Start: Classification
+2016-08-25 10:09:46,764 DEBUG: Info: Time for Classification: 21.682819128[s]
+2016-08-25 10:09:46,764 DEBUG: Done: Classification
+2016-08-25 10:09:46,767 DEBUG: Start: Statistic Results
+2016-08-25 10:09:46,767 INFO: Accuracy :0.685714285714
+2016-08-25 10:09:46,768 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:09:46,768 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMPoly
+2016-08-25 10:09:46,768 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:09:46,768 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 10:09:46,768 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 10:09:46,769 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:09:46,769 DEBUG: Start: Classification
+2016-08-25 10:10:07,085 DEBUG: Info: Time for Classification: 20.3134951591[s]
+2016-08-25 10:10:07,085 DEBUG: Done: Classification
+2016-08-25 10:10:07,087 DEBUG: Start: Statistic Results
+2016-08-25 10:10:07,088 INFO: Accuracy :0.742857142857
+2016-08-25 10:10:07,089 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:10:07,089 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMRBF
+2016-08-25 10:10:07,089 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:10:07,089 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 10:10:07,089 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 10:10:07,090 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:10:07,090 DEBUG: Start: Classification
+2016-08-25 10:10:07,201 DEBUG: Info: Time for Classification: 0.10863494873[s]
+2016-08-25 10:10:07,201 DEBUG: Done: Classification
+2016-08-25 10:10:07,206 DEBUG: Start: Statistic Results
+2016-08-25 10:10:07,207 INFO: Accuracy :0.67619047619
diff --git a/Code/MonoMutliViewClassifiers/Results/20160825-101203-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log b/Code/MonoMutliViewClassifiers/Results/20160825-101203-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
new file mode 100644
index 00000000..a572d4f1
--- /dev/null
+++ b/Code/MonoMutliViewClassifiers/Results/20160825-101203-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
@@ -0,0 +1,353 @@
+2016-08-25 10:12:03,306 INFO: Start: Finding all available mono- & multiview algorithms
+2016-08-25 10:12:03,713 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:12:03,713 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 10:12:03,713 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:12:03,727 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:12:03,727 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:12:03,728 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:12:03,728 DEBUG: Start: Classification
+2016-08-25 10:12:10,245 DEBUG: Info: Time for Classification: 6.93358612061[s]
+2016-08-25 10:12:10,245 DEBUG: Done: Classification
+2016-08-25 10:12:10,250 DEBUG: Start: Statistic Results
+2016-08-25 10:12:10,250 INFO: Accuracy :0.72380952381
+2016-08-25 10:12:10,262 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:12:10,263 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 10:12:10,263 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:12:10,274 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:12:10,274 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:12:10,274 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:12:10,274 DEBUG: Start: Classification
+2016-08-25 10:12:15,069 DEBUG: Info: Time for Classification: 4.81416702271[s]
+2016-08-25 10:12:15,069 DEBUG: Done: Classification
+2016-08-25 10:12:15,072 DEBUG: Start: Statistic Results
+2016-08-25 10:12:15,073 INFO: Accuracy :0.809523809524
+2016-08-25 10:12:15,081 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:12:15,081 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : KNN
+2016-08-25 10:12:15,082 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:12:15,094 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:12:15,094 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:12:15,094 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:12:15,094 DEBUG: Start: Classification
+2016-08-25 10:12:20,694 DEBUG: Info: Time for Classification: 5.61682701111[s]
+2016-08-25 10:12:20,694 DEBUG: Done: Classification
+2016-08-25 10:12:21,954 DEBUG: Start: Statistic Results
+2016-08-25 10:12:21,954 INFO: Accuracy :0.838095238095
+2016-08-25 10:12:21,966 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:12:21,966 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : RandomForest
+2016-08-25 10:12:21,967 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:12:21,979 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:12:21,979 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:12:21,979 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:12:21,979 DEBUG: Start: Classification
+2016-08-25 10:12:26,964 DEBUG: Info: Time for Classification: 5.00459122658[s]
+2016-08-25 10:12:26,964 DEBUG: Done: Classification
+2016-08-25 10:12:26,974 DEBUG: Start: Statistic Results
+2016-08-25 10:12:26,974 INFO: Accuracy :0.914285714286
+2016-08-25 10:12:26,984 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:12:26,984 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SGD
+2016-08-25 10:12:26,984 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:12:26,995 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:12:26,995 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:12:26,995 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:12:26,995 DEBUG: Start: Classification
+2016-08-25 10:12:28,074 DEBUG: Info: Time for Classification: 1.09471106529[s]
+2016-08-25 10:12:28,074 DEBUG: Done: Classification
+2016-08-25 10:12:28,083 DEBUG: Start: Statistic Results
+2016-08-25 10:12:28,084 INFO: Accuracy :0.895238095238
+2016-08-25 10:12:28,096 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:12:28,097 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMLinear
+2016-08-25 10:12:28,097 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:12:28,111 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:12:28,111 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:12:28,111 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:12:28,111 DEBUG: Start: Classification
+2016-08-25 10:12:32,569 DEBUG: Info: Time for Classification: 4.48001813889[s]
+2016-08-25 10:12:32,569 DEBUG: Done: Classification
+2016-08-25 10:12:32,901 DEBUG: Start: Statistic Results
+2016-08-25 10:12:32,902 INFO: Accuracy :0.866666666667
+2016-08-25 10:12:32,914 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:12:32,914 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMPoly
+2016-08-25 10:12:32,914 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:12:32,926 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:12:32,926 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:12:32,926 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:12:32,926 DEBUG: Start: Classification
+2016-08-25 10:12:48,755 DEBUG: Info: Time for Classification: 15.8488020897[s]
+2016-08-25 10:12:48,755 DEBUG: Done: Classification
+2016-08-25 10:12:49,092 DEBUG: Start: Statistic Results
+2016-08-25 10:12:49,092 INFO: Accuracy :0.87619047619
+2016-08-25 10:12:49,104 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:12:49,104 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMRBF
+2016-08-25 10:12:49,104 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:12:49,116 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:12:49,116 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:12:49,116 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:12:49,116 DEBUG: Start: Classification
+2016-08-25 10:12:53,440 DEBUG: Info: Time for Classification: 4.34335494041[s]
+2016-08-25 10:12:53,440 DEBUG: Done: Classification
+2016-08-25 10:12:53,720 DEBUG: Start: Statistic Results
+2016-08-25 10:12:53,720 INFO: Accuracy :0.838095238095
+2016-08-25 10:12:53,778 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:12:53,778 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 10:12:53,778 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:12:53,779 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 10:12:53,779 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 10:12:53,780 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:12:53,780 DEBUG: Start: Classification
+2016-08-25 10:12:53,999 DEBUG: Info: Time for Classification: 0.274144887924[s]
+2016-08-25 10:12:53,999 DEBUG: Done: Classification
+2016-08-25 10:12:54,001 DEBUG: Start: Statistic Results
+2016-08-25 10:12:54,001 INFO: Accuracy :0.809523809524
+2016-08-25 10:12:54,002 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:12:54,002 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 10:12:54,002 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:12:54,003 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 10:12:54,003 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 10:12:54,003 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:12:54,003 DEBUG: Start: Classification
+2016-08-25 10:12:54,170 DEBUG: Info: Time for Classification: 0.165093183517[s]
+2016-08-25 10:12:54,170 DEBUG: Done: Classification
+2016-08-25 10:12:54,171 DEBUG: Start: Statistic Results
+2016-08-25 10:12:54,172 INFO: Accuracy :0.828571428571
+2016-08-25 10:12:54,173 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:12:54,173 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : KNN
+2016-08-25 10:12:54,173 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:12:54,174 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 10:12:54,174 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 10:12:54,174 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:12:54,174 DEBUG: Start: Classification
+2016-08-25 10:12:54,392 DEBUG: Info: Time for Classification: 0.216588973999[s]
+2016-08-25 10:12:54,393 DEBUG: Done: Classification
+2016-08-25 10:12:54,446 DEBUG: Start: Statistic Results
+2016-08-25 10:12:54,446 INFO: Accuracy :0.771428571429
+2016-08-25 10:12:54,449 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:12:54,449 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : RandomForest
+2016-08-25 10:12:54,449 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:12:54,450 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 10:12:54,450 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 10:12:54,450 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:12:54,450 DEBUG: Start: Classification
+2016-08-25 10:12:57,247 DEBUG: Info: Time for Classification: 2.79573392868[s]
+2016-08-25 10:12:57,247 DEBUG: Done: Classification
+2016-08-25 10:12:57,259 DEBUG: Start: Statistic Results
+2016-08-25 10:12:57,260 INFO: Accuracy :0.895238095238
+2016-08-25 10:12:57,261 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:12:57,261 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SGD
+2016-08-25 10:12:57,261 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:12:57,262 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 10:12:57,262 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 10:12:57,262 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:12:57,262 DEBUG: Start: Classification
+2016-08-25 10:12:57,370 DEBUG: Info: Time for Classification: 0.104732036591[s]
+2016-08-25 10:12:57,370 DEBUG: Done: Classification
+2016-08-25 10:12:57,372 DEBUG: Start: Statistic Results
+2016-08-25 10:12:57,373 INFO: Accuracy :0.714285714286
+2016-08-25 10:12:57,375 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:12:57,375 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMLinear
+2016-08-25 10:12:57,375 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:12:57,376 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 10:12:57,376 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 10:12:57,376 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:12:57,376 DEBUG: Start: Classification
+2016-08-25 10:13:00,528 DEBUG: Info: Time for Classification: 3.15115380287[s]
+2016-08-25 10:13:00,528 DEBUG: Done: Classification
+2016-08-25 10:13:00,537 DEBUG: Start: Statistic Results
+2016-08-25 10:13:00,537 INFO: Accuracy :0.790476190476
+2016-08-25 10:13:00,539 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:13:00,539 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMPoly
+2016-08-25 10:13:00,539 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:13:00,539 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 10:13:00,540 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 10:13:00,540 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:13:00,540 DEBUG: Start: Classification
+2016-08-25 10:13:05,824 DEBUG: Info: Time for Classification: 5.28273296356[s]
+2016-08-25 10:13:05,824 DEBUG: Done: Classification
+2016-08-25 10:13:05,833 DEBUG: Start: Statistic Results
+2016-08-25 10:13:05,833 INFO: Accuracy :0.819047619048
+2016-08-25 10:13:05,835 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:13:05,835 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMRBF
+2016-08-25 10:13:05,835 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:13:05,836 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 10:13:05,836 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 10:13:05,836 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:13:05,836 DEBUG: Start: Classification
+2016-08-25 10:13:06,295 DEBUG: Info: Time for Classification: 0.456564903259[s]
+2016-08-25 10:13:06,295 DEBUG: Done: Classification
+2016-08-25 10:13:06,326 DEBUG: Start: Statistic Results
+2016-08-25 10:13:06,326 INFO: Accuracy :0.819047619048
+2016-08-25 10:13:06,356 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:13:06,357 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 10:13:06,357 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:13:06,399 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:13:06,399 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:13:06,399 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:13:06,399 DEBUG: Start: Classification
+2016-08-25 10:13:32,772 DEBUG: Info: Time for Classification: 26.4406681061[s]
+2016-08-25 10:13:32,772 DEBUG: Done: Classification
+2016-08-25 10:13:32,784 DEBUG: Start: Statistic Results
+2016-08-25 10:13:32,784 INFO: Accuracy :0.67619047619
+2016-08-25 10:13:32,815 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:13:32,815 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 10:13:32,815 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:13:32,852 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:13:32,852 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:13:32,852 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:13:32,852 DEBUG: Start: Classification
+2016-08-25 10:13:46,856 DEBUG: Info: Time for Classification: 14.0675361156[s]
+2016-08-25 10:13:46,856 DEBUG: Done: Classification
+2016-08-25 10:13:46,862 DEBUG: Start: Statistic Results
+2016-08-25 10:13:46,863 INFO: Accuracy :0.704761904762
+2016-08-25 10:13:46,893 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:13:46,893 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : KNN
+2016-08-25 10:13:46,893 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:13:46,927 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:13:46,927 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:13:46,927 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:13:46,927 DEBUG: Start: Classification
+2016-08-25 10:14:02,930 DEBUG: Info: Time for Classification: 16.0629010201[s]
+2016-08-25 10:14:02,930 DEBUG: Done: Classification
+2016-08-25 10:14:06,627 DEBUG: Start: Statistic Results
+2016-08-25 10:14:06,627 INFO: Accuracy :0.685714285714
+2016-08-25 10:14:06,659 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:14:06,659 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : RandomForest
+2016-08-25 10:14:06,659 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:14:06,693 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:14:06,693 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:14:06,693 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:14:06,693 DEBUG: Start: Classification
+2016-08-25 10:14:14,433 DEBUG: Info: Time for Classification: 7.80044293404[s]
+2016-08-25 10:14:14,433 DEBUG: Done: Classification
+2016-08-25 10:14:14,443 DEBUG: Start: Statistic Results
+2016-08-25 10:14:14,443 INFO: Accuracy :0.752380952381
+2016-08-25 10:14:14,478 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:14:14,478 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SGD
+2016-08-25 10:14:14,478 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:14:14,515 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:14:14,516 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:14:14,516 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:14:14,516 DEBUG: Start: Classification
+2016-08-25 10:14:16,949 DEBUG: Info: Time for Classification: 2.50037908554[s]
+2016-08-25 10:14:16,949 DEBUG: Done: Classification
+2016-08-25 10:14:16,975 DEBUG: Start: Statistic Results
+2016-08-25 10:14:16,976 INFO: Accuracy :0.6
+2016-08-25 10:14:17,008 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:14:17,008 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMLinear
+2016-08-25 10:14:17,008 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:14:17,048 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:14:17,048 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:14:17,048 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:14:17,048 DEBUG: Start: Classification
+2016-08-25 10:14:38,968 DEBUG: Info: Time for Classification: 21.9874460697[s]
+2016-08-25 10:14:38,968 DEBUG: Done: Classification
+2016-08-25 10:14:40,392 DEBUG: Start: Statistic Results
+2016-08-25 10:14:40,392 INFO: Accuracy :0.638095238095
+2016-08-25 10:14:40,427 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:14:40,427 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMPoly
+2016-08-25 10:14:40,427 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:14:40,462 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:14:40,462 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:14:40,462 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:14:40,462 DEBUG: Start: Classification
+2016-08-25 10:15:46,628 DEBUG: Info: Time for Classification: 66.2277610302[s]
+2016-08-25 10:15:46,628 DEBUG: Done: Classification
+2016-08-25 10:15:47,985 DEBUG: Start: Statistic Results
+2016-08-25 10:15:47,985 INFO: Accuracy :0.638095238095
+2016-08-25 10:15:48,019 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:15:48,019 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMRBF
+2016-08-25 10:15:48,019 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:15:48,053 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:15:48,053 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:15:48,053 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:15:48,053 DEBUG: Start: Classification
+2016-08-25 10:16:12,498 DEBUG: Info: Time for Classification: 24.5049631596[s]
+2016-08-25 10:16:12,498 DEBUG: Done: Classification
+2016-08-25 10:16:14,570 DEBUG: Start: Statistic Results
+2016-08-25 10:16:14,571 INFO: Accuracy :0.752380952381
+2016-08-25 10:16:14,576 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:16:14,576 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 10:16:14,577 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:16:14,577 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 10:16:14,577 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 10:16:14,577 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:16:14,577 DEBUG: Start: Classification
+2016-08-25 10:16:14,642 DEBUG: Info: Time for Classification: 0.0624091625214[s]
+2016-08-25 10:16:14,642 DEBUG: Done: Classification
+2016-08-25 10:16:14,643 DEBUG: Start: Statistic Results
+2016-08-25 10:16:14,643 INFO: Accuracy :0.87619047619
+2016-08-25 10:16:14,644 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:16:14,644 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 10:16:14,645 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:16:14,645 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 10:16:14,645 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 10:16:14,645 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:16:14,645 DEBUG: Start: Classification
+2016-08-25 10:16:14,689 DEBUG: Info: Time for Classification: 0.0414981842041[s]
+2016-08-25 10:16:14,689 DEBUG: Done: Classification
+2016-08-25 10:16:14,690 DEBUG: Start: Statistic Results
+2016-08-25 10:16:14,691 INFO: Accuracy :0.819047619048
+2016-08-25 10:16:14,692 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:16:14,692 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : KNN
+2016-08-25 10:16:14,692 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:16:14,692 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 10:16:14,692 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 10:16:14,692 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:16:14,692 DEBUG: Start: Classification
+2016-08-25 10:16:14,756 DEBUG: Info: Time for Classification: 0.0610840320587[s]
+2016-08-25 10:16:14,756 DEBUG: Done: Classification
+2016-08-25 10:16:14,762 DEBUG: Start: Statistic Results
+2016-08-25 10:16:14,763 INFO: Accuracy :0.695238095238
+2016-08-25 10:16:14,764 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:16:14,764 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : RandomForest
+2016-08-25 10:16:14,764 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:16:14,764 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 10:16:14,764 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 10:16:14,764 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:16:14,764 DEBUG: Start: Classification
+2016-08-25 10:16:17,053 DEBUG: Info: Time for Classification: 2.28659510612[s]
+2016-08-25 10:16:17,053 DEBUG: Done: Classification
+2016-08-25 10:16:17,062 DEBUG: Start: Statistic Results
+2016-08-25 10:16:17,062 INFO: Accuracy :0.714285714286
+2016-08-25 10:16:17,063 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:16:17,064 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SGD
+2016-08-25 10:16:17,064 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:16:17,064 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 10:16:17,064 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 10:16:17,064 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:16:17,064 DEBUG: Start: Classification
+2016-08-25 10:16:17,130 DEBUG: Info: Time for Classification: 0.0631129741669[s]
+2016-08-25 10:16:17,130 DEBUG: Done: Classification
+2016-08-25 10:16:17,131 DEBUG: Start: Statistic Results
+2016-08-25 10:16:17,132 INFO: Accuracy :0.638095238095
+2016-08-25 10:16:17,133 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:16:17,133 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMLinear
+2016-08-25 10:16:17,133 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:16:17,133 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 10:16:17,133 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 10:16:17,133 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:16:17,134 DEBUG: Start: Classification
+2016-08-25 10:16:40,780 DEBUG: Info: Time for Classification: 23.6446838379[s]
+2016-08-25 10:16:40,781 DEBUG: Done: Classification
+2016-08-25 10:16:40,783 DEBUG: Start: Statistic Results
+2016-08-25 10:16:40,783 INFO: Accuracy :0.72380952381
+2016-08-25 10:16:40,784 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:16:40,785 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMPoly
+2016-08-25 10:16:40,785 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:16:40,785 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 10:16:40,785 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 10:16:40,785 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:16:40,785 DEBUG: Start: Classification
+2016-08-25 10:17:53,966 DEBUG: Info: Time for Classification: 73.1790001392[s]
+2016-08-25 10:17:53,967 DEBUG: Done: Classification
+2016-08-25 10:17:53,969 DEBUG: Start: Statistic Results
+2016-08-25 10:17:53,969 INFO: Accuracy :0.704761904762
+2016-08-25 10:17:53,970 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:17:53,970 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMRBF
+2016-08-25 10:17:53,971 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:17:53,971 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 10:17:53,971 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 10:17:53,971 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:17:53,971 DEBUG: Start: Classification
+2016-08-25 10:17:54,076 DEBUG: Info: Time for Classification: 0.102652072906[s]
+2016-08-25 10:17:54,076 DEBUG: Done: Classification
+2016-08-25 10:17:54,082 DEBUG: Start: Statistic Results
+2016-08-25 10:17:54,082 INFO: Accuracy :0.771428571429
diff --git a/Code/MonoMutliViewClassifiers/Results/20160825-103609-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log b/Code/MonoMutliViewClassifiers/Results/20160825-103609-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
new file mode 100644
index 00000000..0bad5f7e
--- /dev/null
+++ b/Code/MonoMutliViewClassifiers/Results/20160825-103609-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
@@ -0,0 +1,353 @@
+2016-08-25 10:36:09,007 INFO: Start: Finding all available mono- & multiview algorithms
+2016-08-25 10:36:09,020 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:36:09,020 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 10:36:09,020 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:36:09,034 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:36:09,034 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:36:09,034 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:36:09,034 DEBUG: Start: Classification
+2016-08-25 10:36:16,348 DEBUG: Info: Time for Classification: 7.33495116234[s]
+2016-08-25 10:36:16,348 DEBUG: Done: Classification
+2016-08-25 10:36:16,353 DEBUG: Start: Statistic Results
+2016-08-25 10:36:16,353 INFO: Accuracy :0.790476190476
+2016-08-25 10:36:16,365 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:36:16,365 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 10:36:16,365 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:36:16,376 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:36:16,376 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:36:16,376 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:36:16,376 DEBUG: Start: Classification
+2016-08-25 10:36:21,129 DEBUG: Info: Time for Classification: 4.77118706703[s]
+2016-08-25 10:36:21,129 DEBUG: Done: Classification
+2016-08-25 10:36:21,132 DEBUG: Start: Statistic Results
+2016-08-25 10:36:21,132 INFO: Accuracy :0.885714285714
+2016-08-25 10:36:21,141 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:36:21,141 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : KNN
+2016-08-25 10:36:21,141 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:36:21,153 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:36:21,153 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:36:21,154 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:36:21,154 DEBUG: Start: Classification
+2016-08-25 10:36:27,634 DEBUG: Info: Time for Classification: 6.49800610542[s]
+2016-08-25 10:36:27,635 DEBUG: Done: Classification
+2016-08-25 10:36:28,916 DEBUG: Start: Statistic Results
+2016-08-25 10:36:28,917 INFO: Accuracy :0.838095238095
+2016-08-25 10:36:28,930 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:36:28,930 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : RandomForest
+2016-08-25 10:36:28,930 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:36:28,942 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:36:28,943 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:36:28,943 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:36:28,943 DEBUG: Start: Classification
+2016-08-25 10:36:34,436 DEBUG: Info: Time for Classification: 5.51375699043[s]
+2016-08-25 10:36:34,437 DEBUG: Done: Classification
+2016-08-25 10:36:34,452 DEBUG: Start: Statistic Results
+2016-08-25 10:36:34,452 INFO: Accuracy :0.866666666667
+2016-08-25 10:36:34,461 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:36:34,461 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SGD
+2016-08-25 10:36:34,461 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:36:34,475 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:36:34,475 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:36:34,475 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:36:34,475 DEBUG: Start: Classification
+2016-08-25 10:36:35,761 DEBUG: Info: Time for Classification: 1.30303406715[s]
+2016-08-25 10:36:35,762 DEBUG: Done: Classification
+2016-08-25 10:36:35,774 DEBUG: Start: Statistic Results
+2016-08-25 10:36:35,774 INFO: Accuracy :0.895238095238
+2016-08-25 10:36:35,787 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:36:35,787 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMLinear
+2016-08-25 10:36:35,787 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:36:35,803 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:36:35,803 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:36:35,803 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:36:35,803 DEBUG: Start: Classification
+2016-08-25 10:36:40,949 DEBUG: Info: Time for Classification: 5.16970896721[s]
+2016-08-25 10:36:40,949 DEBUG: Done: Classification
+2016-08-25 10:36:41,275 DEBUG: Start: Statistic Results
+2016-08-25 10:36:41,276 INFO: Accuracy :0.866666666667
+2016-08-25 10:36:41,288 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:36:41,288 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMPoly
+2016-08-25 10:36:41,288 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:36:41,300 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:36:41,301 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:36:41,301 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:36:41,301 DEBUG: Start: Classification
+2016-08-25 10:36:53,707 DEBUG: Info: Time for Classification: 12.4257099628[s]
+2016-08-25 10:36:53,707 DEBUG: Done: Classification
+2016-08-25 10:36:53,987 DEBUG: Start: Statistic Results
+2016-08-25 10:36:53,987 INFO: Accuracy :0.885714285714
+2016-08-25 10:36:54,000 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:36:54,001 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMRBF
+2016-08-25 10:36:54,001 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:36:54,013 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:36:54,013 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:36:54,013 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:36:54,013 DEBUG: Start: Classification
+2016-08-25 10:36:58,581 DEBUG: Info: Time for Classification: 4.58808207512[s]
+2016-08-25 10:36:58,581 DEBUG: Done: Classification
+2016-08-25 10:36:58,892 DEBUG: Start: Statistic Results
+2016-08-25 10:36:58,893 INFO: Accuracy :0.885714285714
+2016-08-25 10:36:58,895 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:36:58,896 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 10:36:58,896 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:36:58,896 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 10:36:58,896 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 10:36:58,897 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:36:58,897 DEBUG: Start: Classification
+2016-08-25 10:36:59,134 DEBUG: Info: Time for Classification: 0.235757112503[s]
+2016-08-25 10:36:59,134 DEBUG: Done: Classification
+2016-08-25 10:36:59,136 DEBUG: Start: Statistic Results
+2016-08-25 10:36:59,136 INFO: Accuracy :0.790476190476
+2016-08-25 10:36:59,137 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:36:59,137 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 10:36:59,137 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:36:59,138 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 10:36:59,138 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 10:36:59,138 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:36:59,139 DEBUG: Start: Classification
+2016-08-25 10:36:59,282 DEBUG: Info: Time for Classification: 0.142616987228[s]
+2016-08-25 10:36:59,283 DEBUG: Done: Classification
+2016-08-25 10:36:59,284 DEBUG: Start: Statistic Results
+2016-08-25 10:36:59,285 INFO: Accuracy :0.838095238095
+2016-08-25 10:36:59,286 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:36:59,286 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : KNN
+2016-08-25 10:36:59,286 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:36:59,287 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 10:36:59,287 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 10:36:59,287 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:36:59,287 DEBUG: Start: Classification
+2016-08-25 10:36:59,500 DEBUG: Info: Time for Classification: 0.211832046509[s]
+2016-08-25 10:36:59,500 DEBUG: Done: Classification
+2016-08-25 10:36:59,540 DEBUG: Start: Statistic Results
+2016-08-25 10:36:59,540 INFO: Accuracy :0.819047619048
+2016-08-25 10:36:59,542 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:36:59,542 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : RandomForest
+2016-08-25 10:36:59,542 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:36:59,543 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 10:36:59,543 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 10:36:59,543 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:36:59,543 DEBUG: Start: Classification
+2016-08-25 10:37:02,124 DEBUG: Info: Time for Classification: 2.58006691933[s]
+2016-08-25 10:37:02,125 DEBUG: Done: Classification
+2016-08-25 10:37:02,138 DEBUG: Start: Statistic Results
+2016-08-25 10:37:02,139 INFO: Accuracy :0.885714285714
+2016-08-25 10:37:02,140 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:37:02,140 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SGD
+2016-08-25 10:37:02,140 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:37:02,141 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 10:37:02,141 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 10:37:02,141 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:37:02,141 DEBUG: Start: Classification
+2016-08-25 10:37:02,223 DEBUG: Info: Time for Classification: 0.0794107913971[s]
+2016-08-25 10:37:02,223 DEBUG: Done: Classification
+2016-08-25 10:37:02,224 DEBUG: Start: Statistic Results
+2016-08-25 10:37:02,225 INFO: Accuracy :0.72380952381
+2016-08-25 10:37:02,226 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:37:02,226 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMLinear
+2016-08-25 10:37:02,226 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:37:02,227 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 10:37:02,227 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 10:37:02,227 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:37:02,227 DEBUG: Start: Classification
+2016-08-25 10:37:03,287 DEBUG: Info: Time for Classification: 1.05819916725[s]
+2016-08-25 10:37:03,287 DEBUG: Done: Classification
+2016-08-25 10:37:03,295 DEBUG: Start: Statistic Results
+2016-08-25 10:37:03,295 INFO: Accuracy :0.771428571429
+2016-08-25 10:37:03,297 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:37:03,297 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMPoly
+2016-08-25 10:37:03,297 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:37:03,298 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 10:37:03,298 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 10:37:03,298 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:37:03,298 DEBUG: Start: Classification
+2016-08-25 10:37:06,496 DEBUG: Info: Time for Classification: 3.19638299942[s]
+2016-08-25 10:37:06,496 DEBUG: Done: Classification
+2016-08-25 10:37:06,505 DEBUG: Start: Statistic Results
+2016-08-25 10:37:06,505 INFO: Accuracy :0.742857142857
+2016-08-25 10:37:06,506 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:37:06,507 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMRBF
+2016-08-25 10:37:06,507 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:37:06,508 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 10:37:06,508 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 10:37:06,508 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:37:06,508 DEBUG: Start: Classification
+2016-08-25 10:37:06,861 DEBUG: Info: Time for Classification: 0.351866960526[s]
+2016-08-25 10:37:06,861 DEBUG: Done: Classification
+2016-08-25 10:37:06,890 DEBUG: Start: Statistic Results
+2016-08-25 10:37:06,891 INFO: Accuracy :0.695238095238
+2016-08-25 10:37:06,927 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:37:06,927 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 10:37:06,927 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:37:07,007 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:37:07,007 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:37:07,007 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:37:07,008 DEBUG: Start: Classification
+2016-08-25 10:37:29,128 DEBUG: Info: Time for Classification: 22.2328600883[s]
+2016-08-25 10:37:29,128 DEBUG: Done: Classification
+2016-08-25 10:37:29,139 DEBUG: Start: Statistic Results
+2016-08-25 10:37:29,139 INFO: Accuracy :0.638095238095
+2016-08-25 10:37:29,175 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:37:29,175 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 10:37:29,175 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:37:29,231 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:37:29,231 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:37:29,231 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:37:29,232 DEBUG: Start: Classification
+2016-08-25 10:37:43,932 DEBUG: Info: Time for Classification: 14.784029007[s]
+2016-08-25 10:37:43,933 DEBUG: Done: Classification
+2016-08-25 10:37:43,938 DEBUG: Start: Statistic Results
+2016-08-25 10:37:43,939 INFO: Accuracy :0.704761904762
+2016-08-25 10:37:43,969 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:37:43,969 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : KNN
+2016-08-25 10:37:43,969 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:37:44,003 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:37:44,004 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:37:44,004 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:37:44,004 DEBUG: Start: Classification
+2016-08-25 10:38:00,239 DEBUG: Info: Time for Classification: 16.2956929207[s]
+2016-08-25 10:38:00,239 DEBUG: Done: Classification
+2016-08-25 10:38:03,741 DEBUG: Start: Statistic Results
+2016-08-25 10:38:03,741 INFO: Accuracy :0.742857142857
+2016-08-25 10:38:03,772 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:38:03,773 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : RandomForest
+2016-08-25 10:38:03,773 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:38:03,807 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:38:03,807 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:38:03,808 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:38:03,808 DEBUG: Start: Classification
+2016-08-25 10:38:12,029 DEBUG: Info: Time for Classification: 8.28237009048[s]
+2016-08-25 10:38:12,029 DEBUG: Done: Classification
+2016-08-25 10:38:12,043 DEBUG: Start: Statistic Results
+2016-08-25 10:38:12,043 INFO: Accuracy :0.771428571429
+2016-08-25 10:38:12,073 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:38:12,074 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SGD
+2016-08-25 10:38:12,074 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:38:12,115 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:38:12,115 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:38:12,115 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:38:12,115 DEBUG: Start: Classification
+2016-08-25 10:38:14,094 DEBUG: Info: Time for Classification: 2.04556298256[s]
+2016-08-25 10:38:14,094 DEBUG: Done: Classification
+2016-08-25 10:38:14,120 DEBUG: Start: Statistic Results
+2016-08-25 10:38:14,120 INFO: Accuracy :0.685714285714
+2016-08-25 10:38:14,153 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:38:14,154 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMLinear
+2016-08-25 10:38:14,154 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:38:14,194 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:38:14,194 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:38:14,195 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:38:14,195 DEBUG: Start: Classification
+2016-08-25 10:38:34,636 DEBUG: Info: Time for Classification: 20.5107479095[s]
+2016-08-25 10:38:34,636 DEBUG: Done: Classification
+2016-08-25 10:38:36,051 DEBUG: Start: Statistic Results
+2016-08-25 10:38:36,051 INFO: Accuracy :0.609523809524
+2016-08-25 10:38:36,083 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:38:36,083 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMPoly
+2016-08-25 10:38:36,083 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:38:36,118 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:38:36,118 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:38:36,118 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:38:36,118 DEBUG: Start: Classification
+2016-08-25 10:39:43,291 DEBUG: Info: Time for Classification: 67.2334010601[s]
+2016-08-25 10:39:43,291 DEBUG: Done: Classification
+2016-08-25 10:39:44,871 DEBUG: Start: Statistic Results
+2016-08-25 10:39:44,872 INFO: Accuracy :0.742857142857
+2016-08-25 10:39:44,904 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:39:44,904 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMRBF
+2016-08-25 10:39:44,904 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:39:44,938 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:39:44,939 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:39:44,939 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:39:44,939 DEBUG: Start: Classification
+2016-08-25 10:40:10,477 DEBUG: Info: Time for Classification: 25.5987830162[s]
+2016-08-25 10:40:10,477 DEBUG: Done: Classification
+2016-08-25 10:40:12,481 DEBUG: Start: Statistic Results
+2016-08-25 10:40:12,481 INFO: Accuracy :0.752380952381
+2016-08-25 10:40:12,495 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:40:12,495 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 10:40:12,495 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:40:12,496 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 10:40:12,496 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 10:40:12,496 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:40:12,497 DEBUG: Start: Classification
+2016-08-25 10:40:12,573 DEBUG: Info: Time for Classification: 0.0847370624542[s]
+2016-08-25 10:40:12,573 DEBUG: Done: Classification
+2016-08-25 10:40:12,575 DEBUG: Start: Statistic Results
+2016-08-25 10:40:12,575 INFO: Accuracy :0.828571428571
+2016-08-25 10:40:12,576 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:40:12,576 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 10:40:12,576 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:40:12,577 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 10:40:12,577 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 10:40:12,577 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:40:12,577 DEBUG: Start: Classification
+2016-08-25 10:40:12,618 DEBUG: Info: Time for Classification: 0.0386619567871[s]
+2016-08-25 10:40:12,618 DEBUG: Done: Classification
+2016-08-25 10:40:12,619 DEBUG: Start: Statistic Results
+2016-08-25 10:40:12,619 INFO: Accuracy :0.780952380952
+2016-08-25 10:40:12,620 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:40:12,620 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : KNN
+2016-08-25 10:40:12,621 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:40:12,621 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 10:40:12,621 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 10:40:12,621 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:40:12,621 DEBUG: Start: Classification
+2016-08-25 10:40:12,678 DEBUG: Info: Time for Classification: 0.0543441772461[s]
+2016-08-25 10:40:12,678 DEBUG: Done: Classification
+2016-08-25 10:40:12,683 DEBUG: Start: Statistic Results
+2016-08-25 10:40:12,684 INFO: Accuracy :0.666666666667
+2016-08-25 10:40:12,685 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:40:12,685 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : RandomForest
+2016-08-25 10:40:12,685 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:40:12,685 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 10:40:12,685 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 10:40:12,685 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:40:12,685 DEBUG: Start: Classification
+2016-08-25 10:40:15,090 DEBUG: Info: Time for Classification: 2.40306401253[s]
+2016-08-25 10:40:15,091 DEBUG: Done: Classification
+2016-08-25 10:40:15,108 DEBUG: Start: Statistic Results
+2016-08-25 10:40:15,108 INFO: Accuracy :0.847619047619
+2016-08-25 10:40:15,110 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:40:15,110 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SGD
+2016-08-25 10:40:15,110 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:40:15,110 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 10:40:15,110 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 10:40:15,110 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:40:15,111 DEBUG: Start: Classification
+2016-08-25 10:40:15,175 DEBUG: Info: Time for Classification: 0.0617289543152[s]
+2016-08-25 10:40:15,175 DEBUG: Done: Classification
+2016-08-25 10:40:15,176 DEBUG: Start: Statistic Results
+2016-08-25 10:40:15,176 INFO: Accuracy :0.742857142857
+2016-08-25 10:40:15,178 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:40:15,178 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMLinear
+2016-08-25 10:40:15,178 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:40:15,178 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 10:40:15,178 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 10:40:15,178 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:40:15,178 DEBUG: Start: Classification
+2016-08-25 10:41:14,302 DEBUG: Info: Time for Classification: 59.1211531162[s]
+2016-08-25 10:41:14,302 DEBUG: Done: Classification
+2016-08-25 10:41:14,304 DEBUG: Start: Statistic Results
+2016-08-25 10:41:14,305 INFO: Accuracy :0.685714285714
+2016-08-25 10:41:14,306 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:41:14,306 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMPoly
+2016-08-25 10:41:14,306 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:41:14,306 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 10:41:14,306 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 10:41:14,306 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:41:14,307 DEBUG: Start: Classification
+2016-08-25 10:43:24,782 DEBUG: Info: Time for Classification: 130.472887993[s]
+2016-08-25 10:43:24,782 DEBUG: Done: Classification
+2016-08-25 10:43:24,784 DEBUG: Start: Statistic Results
+2016-08-25 10:43:24,785 INFO: Accuracy :0.628571428571
+2016-08-25 10:43:24,786 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:43:24,786 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMRBF
+2016-08-25 10:43:24,786 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:43:24,786 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 10:43:24,786 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 10:43:24,786 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:43:24,786 DEBUG: Start: Classification
+2016-08-25 10:43:24,891 DEBUG: Info: Time for Classification: 0.102157115936[s]
+2016-08-25 10:43:24,891 DEBUG: Done: Classification
+2016-08-25 10:43:24,896 DEBUG: Start: Statistic Results
+2016-08-25 10:43:24,897 INFO: Accuracy :0.72380952381
diff --git a/Code/MonoMutliViewClassifiers/Results/20160825-105027-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log b/Code/MonoMutliViewClassifiers/Results/20160825-105027-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
new file mode 100644
index 00000000..a5e07126
--- /dev/null
+++ b/Code/MonoMutliViewClassifiers/Results/20160825-105027-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
@@ -0,0 +1,353 @@
+2016-08-25 10:50:27,858 INFO: Start: Finding all available mono- & multiview algorithms
+2016-08-25 10:50:28,223 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:50:28,223 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 10:50:28,223 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:50:28,237 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:50:28,237 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:50:28,237 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:50:28,237 DEBUG: Start: Classification
+2016-08-25 10:50:34,607 DEBUG: Info: Time for Classification: 6.744109869[s]
+2016-08-25 10:50:34,607 DEBUG: Done: Classification
+2016-08-25 10:50:34,612 DEBUG: Start: Statistic Results
+2016-08-25 10:50:34,613 INFO: Accuracy :0.809523809524
+2016-08-25 10:50:34,624 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:50:34,624 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 10:50:34,624 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:50:34,635 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:50:34,635 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:50:34,635 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:50:34,636 DEBUG: Start: Classification
+2016-08-25 10:50:39,446 DEBUG: Info: Time for Classification: 4.82891607285[s]
+2016-08-25 10:50:39,446 DEBUG: Done: Classification
+2016-08-25 10:50:39,449 DEBUG: Start: Statistic Results
+2016-08-25 10:50:39,450 INFO: Accuracy :0.895238095238
+2016-08-25 10:50:39,458 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:50:39,458 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : KNN
+2016-08-25 10:50:39,458 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:50:39,470 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:50:39,470 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:50:39,470 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:50:39,470 DEBUG: Start: Classification
+2016-08-25 10:50:45,068 DEBUG: Info: Time for Classification: 5.61393785477[s]
+2016-08-25 10:50:45,068 DEBUG: Done: Classification
+2016-08-25 10:50:46,333 DEBUG: Start: Statistic Results
+2016-08-25 10:50:46,334 INFO: Accuracy :0.857142857143
+2016-08-25 10:50:46,346 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:50:46,346 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : RandomForest
+2016-08-25 10:50:46,346 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:50:46,358 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:50:46,358 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:50:46,358 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:50:46,359 DEBUG: Start: Classification
+2016-08-25 10:50:51,109 DEBUG: Info: Time for Classification: 4.77030801773[s]
+2016-08-25 10:50:51,109 DEBUG: Done: Classification
+2016-08-25 10:50:51,114 DEBUG: Start: Statistic Results
+2016-08-25 10:50:51,115 INFO: Accuracy :0.904761904762
+2016-08-25 10:50:51,123 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:50:51,123 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SGD
+2016-08-25 10:50:51,123 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:50:51,135 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:50:51,135 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:50:51,135 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:50:51,135 DEBUG: Start: Classification
+2016-08-25 10:50:52,225 DEBUG: Info: Time for Classification: 1.10569405556[s]
+2016-08-25 10:50:52,225 DEBUG: Done: Classification
+2016-08-25 10:50:52,234 DEBUG: Start: Statistic Results
+2016-08-25 10:50:52,235 INFO: Accuracy :0.742857142857
+2016-08-25 10:50:52,247 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:50:52,248 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMLinear
+2016-08-25 10:50:52,248 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:50:52,261 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:50:52,262 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:50:52,262 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:50:52,262 DEBUG: Start: Classification
+2016-08-25 10:50:56,992 DEBUG: Info: Time for Classification: 4.752202034[s]
+2016-08-25 10:50:56,992 DEBUG: Done: Classification
+2016-08-25 10:50:57,340 DEBUG: Start: Statistic Results
+2016-08-25 10:50:57,341 INFO: Accuracy :0.838095238095
+2016-08-25 10:50:57,352 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:50:57,352 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMPoly
+2016-08-25 10:50:57,352 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:50:57,364 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:50:57,365 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:50:57,365 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:50:57,365 DEBUG: Start: Classification
+2016-08-25 10:51:12,872 DEBUG: Info: Time for Classification: 15.5263309479[s]
+2016-08-25 10:51:12,872 DEBUG: Done: Classification
+2016-08-25 10:51:13,197 DEBUG: Start: Statistic Results
+2016-08-25 10:51:13,197 INFO: Accuracy :0.895238095238
+2016-08-25 10:51:13,208 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:51:13,208 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMRBF
+2016-08-25 10:51:13,208 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:51:13,221 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 10:51:13,221 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 10:51:13,221 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:51:13,221 DEBUG: Start: Classification
+2016-08-25 10:51:17,462 DEBUG: Info: Time for Classification: 4.26025295258[s]
+2016-08-25 10:51:17,462 DEBUG: Done: Classification
+2016-08-25 10:51:17,755 DEBUG: Start: Statistic Results
+2016-08-25 10:51:17,756 INFO: Accuracy :0.866666666667
+2016-08-25 10:51:17,770 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:51:17,770 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 10:51:17,771 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:51:17,772 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 10:51:17,772 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 10:51:17,773 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:51:17,773 DEBUG: Start: Classification
+2016-08-25 10:51:18,030 DEBUG: Info: Time for Classification: 0.2698969841[s]
+2016-08-25 10:51:18,030 DEBUG: Done: Classification
+2016-08-25 10:51:18,032 DEBUG: Start: Statistic Results
+2016-08-25 10:51:18,032 INFO: Accuracy :0.752380952381
+2016-08-25 10:51:18,033 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:51:18,034 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 10:51:18,034 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:51:18,034 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 10:51:18,034 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 10:51:18,034 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:51:18,035 DEBUG: Start: Classification
+2016-08-25 10:51:18,182 DEBUG: Info: Time for Classification: 0.145879983902[s]
+2016-08-25 10:51:18,182 DEBUG: Done: Classification
+2016-08-25 10:51:18,183 DEBUG: Start: Statistic Results
+2016-08-25 10:51:18,184 INFO: Accuracy :0.828571428571
+2016-08-25 10:51:18,185 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:51:18,185 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : KNN
+2016-08-25 10:51:18,185 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:51:18,186 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 10:51:18,186 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 10:51:18,186 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:51:18,186 DEBUG: Start: Classification
+2016-08-25 10:51:18,426 DEBUG: Info: Time for Classification: 0.238714933395[s]
+2016-08-25 10:51:18,426 DEBUG: Done: Classification
+2016-08-25 10:51:18,460 DEBUG: Start: Statistic Results
+2016-08-25 10:51:18,460 INFO: Accuracy :0.771428571429
+2016-08-25 10:51:18,462 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:51:18,462 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : RandomForest
+2016-08-25 10:51:18,462 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:51:18,463 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 10:51:18,463 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 10:51:18,463 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:51:18,463 DEBUG: Start: Classification
+2016-08-25 10:51:20,890 DEBUG: Info: Time for Classification: 2.42524194717[s]
+2016-08-25 10:51:20,890 DEBUG: Done: Classification
+2016-08-25 10:51:20,898 DEBUG: Start: Statistic Results
+2016-08-25 10:51:20,898 INFO: Accuracy :0.885714285714
+2016-08-25 10:51:20,900 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:51:20,900 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SGD
+2016-08-25 10:51:20,900 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:51:20,900 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 10:51:20,901 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 10:51:20,901 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:51:20,901 DEBUG: Start: Classification
+2016-08-25 10:51:20,981 DEBUG: Info: Time for Classification: 0.077908039093[s]
+2016-08-25 10:51:20,981 DEBUG: Done: Classification
+2016-08-25 10:51:20,982 DEBUG: Start: Statistic Results
+2016-08-25 10:51:20,982 INFO: Accuracy :0.8
+2016-08-25 10:51:20,984 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:51:20,984 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMLinear
+2016-08-25 10:51:20,984 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:51:20,985 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 10:51:20,985 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 10:51:20,985 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:51:20,985 DEBUG: Start: Classification
+2016-08-25 10:51:23,463 DEBUG: Info: Time for Classification: 2.47670698166[s]
+2016-08-25 10:51:23,463 DEBUG: Done: Classification
+2016-08-25 10:51:23,472 DEBUG: Start: Statistic Results
+2016-08-25 10:51:23,472 INFO: Accuracy :0.771428571429
+2016-08-25 10:51:23,473 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:51:23,473 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMPoly
+2016-08-25 10:51:23,473 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:51:23,474 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 10:51:23,474 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 10:51:23,474 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:51:23,474 DEBUG: Start: Classification
+2016-08-25 10:51:28,416 DEBUG: Info: Time for Classification: 4.93985414505[s]
+2016-08-25 10:51:28,416 DEBUG: Done: Classification
+2016-08-25 10:51:28,424 DEBUG: Start: Statistic Results
+2016-08-25 10:51:28,425 INFO: Accuracy :0.761904761905
+2016-08-25 10:51:28,426 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:51:28,426 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMRBF
+2016-08-25 10:51:28,426 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:51:28,427 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 10:51:28,427 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 10:51:28,427 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:51:28,427 DEBUG: Start: Classification
+2016-08-25 10:51:28,778 DEBUG: Info: Time for Classification: 0.348748922348[s]
+2016-08-25 10:51:28,778 DEBUG: Done: Classification
+2016-08-25 10:51:28,807 DEBUG: Start: Statistic Results
+2016-08-25 10:51:28,807 INFO: Accuracy :0.72380952381
+2016-08-25 10:51:28,837 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:51:28,837 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 10:51:28,837 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:51:28,874 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:51:28,875 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:51:28,875 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:51:28,875 DEBUG: Start: Classification
+2016-08-25 10:51:57,689 DEBUG: Info: Time for Classification: 28.8776779175[s]
+2016-08-25 10:51:57,689 DEBUG: Done: Classification
+2016-08-25 10:51:57,700 DEBUG: Start: Statistic Results
+2016-08-25 10:51:57,700 INFO: Accuracy :0.542857142857
+2016-08-25 10:51:57,730 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:51:57,730 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 10:51:57,730 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:51:57,767 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:51:57,767 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:51:57,767 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:51:57,767 DEBUG: Start: Classification
+2016-08-25 10:52:12,864 DEBUG: Info: Time for Classification: 15.1588129997[s]
+2016-08-25 10:52:12,864 DEBUG: Done: Classification
+2016-08-25 10:52:12,870 DEBUG: Start: Statistic Results
+2016-08-25 10:52:12,870 INFO: Accuracy :0.647619047619
+2016-08-25 10:52:12,900 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:52:12,900 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : KNN
+2016-08-25 10:52:12,900 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:52:12,934 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:52:12,934 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:52:12,934 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:52:12,934 DEBUG: Start: Classification
+2016-08-25 10:52:31,297 DEBUG: Info: Time for Classification: 18.4223279953[s]
+2016-08-25 10:52:31,297 DEBUG: Done: Classification
+2016-08-25 10:52:34,786 DEBUG: Start: Statistic Results
+2016-08-25 10:52:34,787 INFO: Accuracy :0.761904761905
+2016-08-25 10:52:34,818 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:52:34,819 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : RandomForest
+2016-08-25 10:52:34,819 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:52:34,853 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:52:34,853 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:52:34,853 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:52:34,853 DEBUG: Start: Classification
+2016-08-25 10:52:43,821 DEBUG: Info: Time for Classification: 9.02897119522[s]
+2016-08-25 10:52:43,821 DEBUG: Done: Classification
+2016-08-25 10:52:43,835 DEBUG: Start: Statistic Results
+2016-08-25 10:52:43,835 INFO: Accuracy :0.67619047619
+2016-08-25 10:52:43,865 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:52:43,865 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SGD
+2016-08-25 10:52:43,866 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:52:43,899 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:52:43,900 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:52:43,900 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:52:43,900 DEBUG: Start: Classification
+2016-08-25 10:52:45,887 DEBUG: Info: Time for Classification: 2.04630112648[s]
+2016-08-25 10:52:45,887 DEBUG: Done: Classification
+2016-08-25 10:52:45,913 DEBUG: Start: Statistic Results
+2016-08-25 10:52:45,913 INFO: Accuracy :0.457142857143
+2016-08-25 10:52:45,945 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:52:45,946 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMLinear
+2016-08-25 10:52:45,946 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:52:45,984 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:52:45,984 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:52:45,984 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:52:45,984 DEBUG: Start: Classification
+2016-08-25 10:53:05,636 DEBUG: Info: Time for Classification: 19.7187650204[s]
+2016-08-25 10:53:05,637 DEBUG: Done: Classification
+2016-08-25 10:53:07,021 DEBUG: Start: Statistic Results
+2016-08-25 10:53:07,021 INFO: Accuracy :0.685714285714
+2016-08-25 10:53:07,053 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:53:07,054 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMPoly
+2016-08-25 10:53:07,054 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:53:07,088 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:53:07,088 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:53:07,088 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:53:07,088 DEBUG: Start: Classification
+2016-08-25 10:54:12,283 DEBUG: Info: Time for Classification: 65.2549338341[s]
+2016-08-25 10:54:12,283 DEBUG: Done: Classification
+2016-08-25 10:54:13,621 DEBUG: Start: Statistic Results
+2016-08-25 10:54:13,621 INFO: Accuracy :0.638095238095
+2016-08-25 10:54:13,654 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:54:13,654 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMRBF
+2016-08-25 10:54:13,654 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:54:13,688 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 10:54:13,688 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 10:54:13,688 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:54:13,688 DEBUG: Start: Classification
+2016-08-25 10:54:37,123 DEBUG: Info: Time for Classification: 23.4938678741[s]
+2016-08-25 10:54:37,123 DEBUG: Done: Classification
+2016-08-25 10:54:39,118 DEBUG: Start: Statistic Results
+2016-08-25 10:54:39,119 INFO: Accuracy :0.752380952381
+2016-08-25 10:54:39,125 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:54:39,125 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 10:54:39,125 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:54:39,126 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 10:54:39,126 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 10:54:39,126 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:54:39,126 DEBUG: Start: Classification
+2016-08-25 10:54:39,191 DEBUG: Info: Time for Classification: 0.0626089572906[s]
+2016-08-25 10:54:39,191 DEBUG: Done: Classification
+2016-08-25 10:54:39,192 DEBUG: Start: Statistic Results
+2016-08-25 10:54:39,192 INFO: Accuracy :0.828571428571
+2016-08-25 10:54:39,193 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:54:39,193 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 10:54:39,194 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:54:39,194 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 10:54:39,194 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 10:54:39,194 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:54:39,194 DEBUG: Start: Classification
+2016-08-25 10:54:39,234 DEBUG: Info: Time for Classification: 0.0380799770355[s]
+2016-08-25 10:54:39,235 DEBUG: Done: Classification
+2016-08-25 10:54:39,236 DEBUG: Start: Statistic Results
+2016-08-25 10:54:39,236 INFO: Accuracy :0.866666666667
+2016-08-25 10:54:39,237 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:54:39,237 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : KNN
+2016-08-25 10:54:39,237 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:54:39,237 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 10:54:39,238 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 10:54:39,238 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:54:39,238 DEBUG: Start: Classification
+2016-08-25 10:54:39,295 DEBUG: Info: Time for Classification: 0.0550470352173[s]
+2016-08-25 10:54:39,295 DEBUG: Done: Classification
+2016-08-25 10:54:39,300 DEBUG: Start: Statistic Results
+2016-08-25 10:54:39,301 INFO: Accuracy :0.733333333333
+2016-08-25 10:54:39,302 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:54:39,302 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : RandomForest
+2016-08-25 10:54:39,302 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:54:39,302 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 10:54:39,302 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 10:54:39,302 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:54:39,303 DEBUG: Start: Classification
+2016-08-25 10:54:41,465 DEBUG: Info: Time for Classification: 2.16032600403[s]
+2016-08-25 10:54:41,465 DEBUG: Done: Classification
+2016-08-25 10:54:41,473 DEBUG: Start: Statistic Results
+2016-08-25 10:54:41,474 INFO: Accuracy :0.809523809524
+2016-08-25 10:54:41,475 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:54:41,475 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SGD
+2016-08-25 10:54:41,475 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:54:41,475 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 10:54:41,475 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 10:54:41,475 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:54:41,475 DEBUG: Start: Classification
+2016-08-25 10:54:41,540 DEBUG: Info: Time for Classification: 0.0617799758911[s]
+2016-08-25 10:54:41,540 DEBUG: Done: Classification
+2016-08-25 10:54:41,541 DEBUG: Start: Statistic Results
+2016-08-25 10:54:41,541 INFO: Accuracy :0.752380952381
+2016-08-25 10:54:41,543 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 10:54:41,543 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMLinear
+2016-08-25 10:54:41,543 DEBUG: Start: Determine Train/Test split
+2016-08-25 10:54:41,543 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 10:54:41,543 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 10:54:41,543 DEBUG: Done: Determine Train/Test split
+2016-08-25 10:54:41,543 DEBUG: Start: Classification
+2016-08-25 11:18:31,667 DEBUG: Info: Time for Classification: 1430.12203693[s]
+2016-08-25 11:18:31,668 DEBUG: Done: Classification
+2016-08-25 11:18:31,670 DEBUG: Start: Statistic Results
+2016-08-25 11:18:31,670 INFO: Accuracy :0.761904761905
+2016-08-25 11:18:31,671 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:18:31,671 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMPoly
+2016-08-25 11:18:31,672 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:18:31,672 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 11:18:31,672 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 11:18:31,672 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:18:31,672 DEBUG: Start: Classification
+2016-08-25 11:19:47,560 DEBUG: Info: Time for Classification: 75.8854241371[s]
+2016-08-25 11:19:47,560 DEBUG: Done: Classification
+2016-08-25 11:19:47,563 DEBUG: Start: Statistic Results
+2016-08-25 11:19:47,563 INFO: Accuracy :0.666666666667
+2016-08-25 11:19:47,564 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:19:47,564 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMRBF
+2016-08-25 11:19:47,564 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:19:47,565 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 11:19:47,565 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 11:19:47,565 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:19:47,565 DEBUG: Start: Classification
+2016-08-25 11:19:47,669 DEBUG: Info: Time for Classification: 0.102088928223[s]
+2016-08-25 11:19:47,669 DEBUG: Done: Classification
+2016-08-25 11:19:47,675 DEBUG: Start: Statistic Results
+2016-08-25 11:19:47,675 INFO: Accuracy :0.752380952381
diff --git a/Code/MonoMutliViewClassifiers/Results/20160825-114521-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log b/Code/MonoMutliViewClassifiers/Results/20160825-114521-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
new file mode 100644
index 00000000..e66cc265
--- /dev/null
+++ b/Code/MonoMutliViewClassifiers/Results/20160825-114521-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
@@ -0,0 +1,353 @@
+2016-08-25 11:45:21,308 INFO: Start: Finding all available mono- & multiview algorithms
+2016-08-25 11:45:21,325 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:45:21,326 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 11:45:21,326 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:45:21,358 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 11:45:21,358 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 11:45:21,358 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:45:21,358 DEBUG: Start: Classification
+2016-08-25 11:45:27,569 DEBUG: Info: Time for Classification: 6.25021910667[s]
+2016-08-25 11:45:27,569 DEBUG: Done: Classification
+2016-08-25 11:45:27,574 DEBUG: Start: Statistic Results
+2016-08-25 11:45:27,575 INFO: Accuracy :0.847619047619
+2016-08-25 11:45:27,587 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:45:27,587 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 11:45:27,587 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:45:27,598 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 11:45:27,599 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 11:45:27,599 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:45:27,599 DEBUG: Start: Classification
+2016-08-25 11:45:32,243 DEBUG: Info: Time for Classification: 4.66382098198[s]
+2016-08-25 11:45:32,243 DEBUG: Done: Classification
+2016-08-25 11:45:32,246 DEBUG: Start: Statistic Results
+2016-08-25 11:45:32,247 INFO: Accuracy :0.761904761905
+2016-08-25 11:45:32,259 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:45:32,259 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : KNN
+2016-08-25 11:45:32,259 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:45:32,271 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 11:45:32,271 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 11:45:32,271 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:45:32,271 DEBUG: Start: Classification
+2016-08-25 11:45:37,952 DEBUG: Info: Time for Classification: 5.70021915436[s]
+2016-08-25 11:45:37,952 DEBUG: Done: Classification
+2016-08-25 11:45:39,219 DEBUG: Start: Statistic Results
+2016-08-25 11:45:39,220 INFO: Accuracy :0.838095238095
+2016-08-25 11:45:39,229 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:45:39,229 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : RandomForest
+2016-08-25 11:45:39,229 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:45:39,240 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 11:45:39,240 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 11:45:39,241 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:45:39,241 DEBUG: Start: Classification
+2016-08-25 11:45:44,792 DEBUG: Info: Time for Classification: 5.56753993034[s]
+2016-08-25 11:45:44,792 DEBUG: Done: Classification
+2016-08-25 11:45:44,807 DEBUG: Start: Statistic Results
+2016-08-25 11:45:44,808 INFO: Accuracy :0.87619047619
+2016-08-25 11:45:44,819 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:45:44,820 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SGD
+2016-08-25 11:45:44,820 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:45:44,832 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 11:45:44,832 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 11:45:44,832 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:45:44,833 DEBUG: Start: Classification
+2016-08-25 11:45:46,004 DEBUG: Info: Time for Classification: 1.1908531189[s]
+2016-08-25 11:45:46,004 DEBUG: Done: Classification
+2016-08-25 11:45:46,013 DEBUG: Start: Statistic Results
+2016-08-25 11:45:46,014 INFO: Accuracy :0.733333333333
+2016-08-25 11:45:46,026 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:45:46,026 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMLinear
+2016-08-25 11:45:46,027 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:45:46,040 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 11:45:46,040 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 11:45:46,040 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:45:46,041 DEBUG: Start: Classification
+2016-08-25 11:45:50,193 DEBUG: Info: Time for Classification: 4.17491793633[s]
+2016-08-25 11:45:50,194 DEBUG: Done: Classification
+2016-08-25 11:45:50,512 DEBUG: Start: Statistic Results
+2016-08-25 11:45:50,513 INFO: Accuracy :0.904761904762
+2016-08-25 11:45:50,525 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:45:50,525 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMPoly
+2016-08-25 11:45:50,525 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:45:50,538 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 11:45:50,538 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 11:45:50,538 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:45:50,538 DEBUG: Start: Classification
+2016-08-25 11:46:06,901 DEBUG: Info: Time for Classification: 16.3828070164[s]
+2016-08-25 11:46:06,901 DEBUG: Done: Classification
+2016-08-25 11:46:07,247 DEBUG: Start: Statistic Results
+2016-08-25 11:46:07,248 INFO: Accuracy :0.914285714286
+2016-08-25 11:46:07,260 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:46:07,260 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMRBF
+2016-08-25 11:46:07,261 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:46:07,273 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 11:46:07,273 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 11:46:07,273 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:46:07,273 DEBUG: Start: Classification
+2016-08-25 11:46:12,134 DEBUG: Info: Time for Classification: 4.88056015968[s]
+2016-08-25 11:46:12,134 DEBUG: Done: Classification
+2016-08-25 11:46:12,465 DEBUG: Start: Statistic Results
+2016-08-25 11:46:12,466 INFO: Accuracy :0.885714285714
+2016-08-25 11:46:12,494 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:46:12,494 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 11:46:12,494 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:46:12,496 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 11:46:12,496 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 11:46:12,496 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:46:12,496 DEBUG: Start: Classification
+2016-08-25 11:46:12,737 DEBUG: Info: Time for Classification: 0.265767812729[s]
+2016-08-25 11:46:12,737 DEBUG: Done: Classification
+2016-08-25 11:46:12,738 DEBUG: Start: Statistic Results
+2016-08-25 11:46:12,739 INFO: Accuracy :0.819047619048
+2016-08-25 11:46:12,740 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:46:12,740 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 11:46:12,740 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:46:12,741 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 11:46:12,741 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 11:46:12,741 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:46:12,741 DEBUG: Start: Classification
+2016-08-25 11:46:12,884 DEBUG: Info: Time for Classification: 0.141777992249[s]
+2016-08-25 11:46:12,884 DEBUG: Done: Classification
+2016-08-25 11:46:12,886 DEBUG: Start: Statistic Results
+2016-08-25 11:46:12,886 INFO: Accuracy :0.790476190476
+2016-08-25 11:46:12,887 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:46:12,887 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : KNN
+2016-08-25 11:46:12,887 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:46:12,888 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 11:46:12,888 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 11:46:12,888 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:46:12,888 DEBUG: Start: Classification
+2016-08-25 11:46:13,121 DEBUG: Info: Time for Classification: 0.230983972549[s]
+2016-08-25 11:46:13,121 DEBUG: Done: Classification
+2016-08-25 11:46:13,155 DEBUG: Start: Statistic Results
+2016-08-25 11:46:13,155 INFO: Accuracy :0.761904761905
+2016-08-25 11:46:13,157 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:46:13,157 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : RandomForest
+2016-08-25 11:46:13,157 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:46:13,158 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 11:46:13,158 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 11:46:13,158 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:46:13,158 DEBUG: Start: Classification
+2016-08-25 11:46:15,709 DEBUG: Info: Time for Classification: 2.54952001572[s]
+2016-08-25 11:46:15,709 DEBUG: Done: Classification
+2016-08-25 11:46:15,722 DEBUG: Start: Statistic Results
+2016-08-25 11:46:15,722 INFO: Accuracy :0.847619047619
+2016-08-25 11:46:15,723 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:46:15,724 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SGD
+2016-08-25 11:46:15,724 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:46:15,724 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 11:46:15,724 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 11:46:15,724 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:46:15,725 DEBUG: Start: Classification
+2016-08-25 11:46:15,814 DEBUG: Info: Time for Classification: 0.087259054184[s]
+2016-08-25 11:46:15,814 DEBUG: Done: Classification
+2016-08-25 11:46:15,815 DEBUG: Start: Statistic Results
+2016-08-25 11:46:15,816 INFO: Accuracy :0.885714285714
+2016-08-25 11:46:15,817 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:46:15,817 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMLinear
+2016-08-25 11:46:15,817 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:46:15,818 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 11:46:15,818 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 11:46:15,818 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:46:15,818 DEBUG: Start: Classification
+2016-08-25 11:46:18,614 DEBUG: Info: Time for Classification: 2.79439902306[s]
+2016-08-25 11:46:18,614 DEBUG: Done: Classification
+2016-08-25 11:46:18,623 DEBUG: Start: Statistic Results
+2016-08-25 11:46:18,624 INFO: Accuracy :0.819047619048
+2016-08-25 11:46:18,625 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:46:18,625 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMPoly
+2016-08-25 11:46:18,625 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:46:18,626 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 11:46:18,626 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 11:46:18,626 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:46:18,626 DEBUG: Start: Classification
+2016-08-25 11:46:24,438 DEBUG: Info: Time for Classification: 5.8100938797[s]
+2016-08-25 11:46:24,438 DEBUG: Done: Classification
+2016-08-25 11:46:24,446 DEBUG: Start: Statistic Results
+2016-08-25 11:46:24,447 INFO: Accuracy :0.828571428571
+2016-08-25 11:46:24,448 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:46:24,448 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMRBF
+2016-08-25 11:46:24,448 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:46:24,449 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 11:46:24,449 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 11:46:24,449 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:46:24,449 DEBUG: Start: Classification
+2016-08-25 11:46:24,799 DEBUG: Info: Time for Classification: 0.347898006439[s]
+2016-08-25 11:46:24,799 DEBUG: Done: Classification
+2016-08-25 11:46:24,827 DEBUG: Start: Statistic Results
+2016-08-25 11:46:24,827 INFO: Accuracy :0.714285714286
+2016-08-25 11:46:25,043 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:46:25,043 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 11:46:25,043 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:46:25,140 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 11:46:25,140 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 11:46:25,140 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:46:25,140 DEBUG: Start: Classification
+2016-08-25 11:46:51,105 DEBUG: Info: Time for Classification: 26.2732040882[s]
+2016-08-25 11:46:51,105 DEBUG: Done: Classification
+2016-08-25 11:46:51,115 DEBUG: Start: Statistic Results
+2016-08-25 11:46:51,116 INFO: Accuracy :0.657142857143
+2016-08-25 11:46:51,150 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:46:51,150 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 11:46:51,150 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:46:51,215 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 11:46:51,215 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 11:46:51,215 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:46:51,215 DEBUG: Start: Classification
+2016-08-25 11:47:07,705 DEBUG: Info: Time for Classification: 16.5799930096[s]
+2016-08-25 11:47:07,705 DEBUG: Done: Classification
+2016-08-25 11:47:07,711 DEBUG: Start: Statistic Results
+2016-08-25 11:47:07,711 INFO: Accuracy :0.742857142857
+2016-08-25 11:47:07,744 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:47:07,744 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : KNN
+2016-08-25 11:47:07,744 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:47:07,796 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 11:47:07,796 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 11:47:07,796 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:47:07,796 DEBUG: Start: Classification
+2016-08-25 11:47:23,951 DEBUG: Info: Time for Classification: 16.2324130535[s]
+2016-08-25 11:47:23,951 DEBUG: Done: Classification
+2016-08-25 11:47:27,379 DEBUG: Start: Statistic Results
+2016-08-25 11:47:27,379 INFO: Accuracy :0.714285714286
+2016-08-25 11:47:27,413 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:47:27,413 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : RandomForest
+2016-08-25 11:47:27,413 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:47:27,447 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 11:47:27,448 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 11:47:27,448 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:47:27,448 DEBUG: Start: Classification
+2016-08-25 11:47:36,954 DEBUG: Info: Time for Classification: 9.56716609001[s]
+2016-08-25 11:47:36,954 DEBUG: Done: Classification
+2016-08-25 11:47:36,974 DEBUG: Start: Statistic Results
+2016-08-25 11:47:36,974 INFO: Accuracy :0.695238095238
+2016-08-25 11:47:37,005 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:47:37,005 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SGD
+2016-08-25 11:47:37,005 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:47:37,038 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 11:47:37,039 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 11:47:37,039 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:47:37,039 DEBUG: Start: Classification
+2016-08-25 11:47:38,990 DEBUG: Info: Time for Classification: 2.01047992706[s]
+2016-08-25 11:47:38,990 DEBUG: Done: Classification
+2016-08-25 11:47:39,015 DEBUG: Start: Statistic Results
+2016-08-25 11:47:39,016 INFO: Accuracy :0.8
+2016-08-25 11:47:39,048 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:47:39,048 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMLinear
+2016-08-25 11:47:39,048 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:47:39,085 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 11:47:39,085 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 11:47:39,085 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:47:39,085 DEBUG: Start: Classification
+2016-08-25 11:47:58,804 DEBUG: Info: Time for Classification: 19.783561945[s]
+2016-08-25 11:47:58,804 DEBUG: Done: Classification
+2016-08-25 11:48:00,196 DEBUG: Start: Statistic Results
+2016-08-25 11:48:00,197 INFO: Accuracy :0.638095238095
+2016-08-25 11:48:00,232 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:48:00,232 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMPoly
+2016-08-25 11:48:00,232 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:48:00,266 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 11:48:00,266 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 11:48:00,267 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:48:00,267 DEBUG: Start: Classification
+2016-08-25 11:49:06,856 DEBUG: Info: Time for Classification: 66.6503689289[s]
+2016-08-25 11:49:06,856 DEBUG: Done: Classification
+2016-08-25 11:49:08,203 DEBUG: Start: Statistic Results
+2016-08-25 11:49:08,204 INFO: Accuracy :0.609523809524
+2016-08-25 11:49:08,238 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:49:08,238 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RANSeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMRBF
+2016-08-25 11:49:08,238 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:49:08,272 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 11:49:08,272 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 11:49:08,272 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:49:08,272 DEBUG: Start: Classification
+2016-08-25 11:49:31,751 DEBUG: Info: Time for Classification: 23.5385758877[s]
+2016-08-25 11:49:31,751 DEBUG: Done: Classification
+2016-08-25 11:49:33,765 DEBUG: Start: Statistic Results
+2016-08-25 11:49:33,766 INFO: Accuracy :0.733333333333
+2016-08-25 11:49:33,797 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:49:33,798 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 11:49:33,798 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:49:33,799 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 11:49:33,799 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 11:49:33,799 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:49:33,800 DEBUG: Start: Classification
+2016-08-25 11:49:33,869 DEBUG: Info: Time for Classification: 0.0919210910797[s]
+2016-08-25 11:49:33,869 DEBUG: Done: Classification
+2016-08-25 11:49:33,870 DEBUG: Start: Statistic Results
+2016-08-25 11:49:33,870 INFO: Accuracy :0.819047619048
+2016-08-25 11:49:33,871 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:49:33,871 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 11:49:33,872 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:49:33,872 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 11:49:33,872 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 11:49:33,872 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:49:33,872 DEBUG: Start: Classification
+2016-08-25 11:49:33,912 DEBUG: Info: Time for Classification: 0.0381560325623[s]
+2016-08-25 11:49:33,912 DEBUG: Done: Classification
+2016-08-25 11:49:33,914 DEBUG: Start: Statistic Results
+2016-08-25 11:49:33,914 INFO: Accuracy :0.790476190476
+2016-08-25 11:49:33,915 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:49:33,915 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : KNN
+2016-08-25 11:49:33,915 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:49:33,915 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 11:49:33,916 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 11:49:33,916 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:49:33,916 DEBUG: Start: Classification
+2016-08-25 11:49:33,974 DEBUG: Info: Time for Classification: 0.0560851097107[s]
+2016-08-25 11:49:33,974 DEBUG: Done: Classification
+2016-08-25 11:49:33,979 DEBUG: Start: Statistic Results
+2016-08-25 11:49:33,979 INFO: Accuracy :0.742857142857
+2016-08-25 11:49:33,980 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:49:33,980 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : RandomForest
+2016-08-25 11:49:33,980 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:49:33,981 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 11:49:33,981 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 11:49:33,981 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:49:33,981 DEBUG: Start: Classification
+2016-08-25 11:49:36,397 DEBUG: Info: Time for Classification: 2.41362595558[s]
+2016-08-25 11:49:36,397 DEBUG: Done: Classification
+2016-08-25 11:49:36,410 DEBUG: Start: Statistic Results
+2016-08-25 11:49:36,411 INFO: Accuracy :0.819047619048
+2016-08-25 11:49:36,412 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:49:36,412 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SGD
+2016-08-25 11:49:36,412 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:49:36,412 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 11:49:36,412 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 11:49:36,413 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:49:36,413 DEBUG: Start: Classification
+2016-08-25 11:49:36,494 DEBUG: Info: Time for Classification: 0.0783920288086[s]
+2016-08-25 11:49:36,494 DEBUG: Done: Classification
+2016-08-25 11:49:36,495 DEBUG: Start: Statistic Results
+2016-08-25 11:49:36,495 INFO: Accuracy :0.704761904762
+2016-08-25 11:49:36,496 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:49:36,497 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMLinear
+2016-08-25 11:49:36,497 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:49:36,497 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 11:49:36,497 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 11:49:36,497 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:49:36,497 DEBUG: Start: Classification
+2016-08-25 11:50:03,222 DEBUG: Info: Time for Classification: 26.7228569984[s]
+2016-08-25 11:50:03,222 DEBUG: Done: Classification
+2016-08-25 11:50:03,225 DEBUG: Start: Statistic Results
+2016-08-25 11:50:03,225 INFO: Accuracy :0.704761904762
+2016-08-25 11:50:03,226 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:50:03,226 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMPoly
+2016-08-25 11:50:03,226 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:50:03,227 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 11:50:03,227 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 11:50:03,227 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:50:03,227 DEBUG: Start: Classification
+2016-08-25 11:51:01,519 DEBUG: Info: Time for Classification: 58.2901358604[s]
+2016-08-25 11:51:01,520 DEBUG: Done: Classification
+2016-08-25 11:51:01,522 DEBUG: Start: Statistic Results
+2016-08-25 11:51:01,523 INFO: Accuracy :0.67619047619
+2016-08-25 11:51:01,524 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 11:51:01,524 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMRBF
+2016-08-25 11:51:01,524 DEBUG: Start: Determine Train/Test split
+2016-08-25 11:51:01,524 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 11:51:01,524 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 11:51:01,524 DEBUG: Done: Determine Train/Test split
+2016-08-25 11:51:01,524 DEBUG: Start: Classification
+2016-08-25 11:51:01,628 DEBUG: Info: Time for Classification: 0.101749181747[s]
+2016-08-25 11:51:01,628 DEBUG: Done: Classification
+2016-08-25 11:51:01,634 DEBUG: Start: Statistic Results
+2016-08-25 11:51:01,634 INFO: Accuracy :0.72380952381
diff --git a/Code/MonoMutliViewClassifiers/Results/20160825-121008-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log b/Code/MonoMutliViewClassifiers/Results/20160825-121008-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
new file mode 100644
index 00000000..8fb871d0
--- /dev/null
+++ b/Code/MonoMutliViewClassifiers/Results/20160825-121008-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
@@ -0,0 +1,441 @@
+2016-08-25 12:10:08,128 INFO: Start: Finding all available mono- & multiview algorithms
+2016-08-25 12:10:08,477 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:10:08,478 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 12:10:08,478 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:10:08,491 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 12:10:08,491 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 12:10:08,491 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:10:08,491 DEBUG: Start: Classification
+2016-08-25 12:10:14,567 DEBUG: Info: Time for Classification: 6.3816139698[s]
+2016-08-25 12:10:14,568 DEBUG: Done: Classification
+2016-08-25 12:10:14,584 DEBUG: Start: Statistic Results
+2016-08-25 12:10:14,585 INFO: Accuracy :0.780952380952
+2016-08-25 12:10:14,596 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:10:14,597 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 12:10:14,597 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:10:14,609 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 12:10:14,609 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 12:10:14,609 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:10:14,609 DEBUG: Start: Classification
+2016-08-25 12:10:18,997 DEBUG: Info: Time for Classification: 4.40767097473[s]
+2016-08-25 12:10:18,997 DEBUG: Done: Classification
+2016-08-25 12:10:19,000 DEBUG: Start: Statistic Results
+2016-08-25 12:10:19,000 INFO: Accuracy :0.847619047619
+2016-08-25 12:10:19,011 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:10:19,012 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : KNN
+2016-08-25 12:10:19,012 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:10:19,024 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 12:10:19,024 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 12:10:19,024 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:10:19,024 DEBUG: Start: Classification
+2016-08-25 12:10:25,368 DEBUG: Info: Time for Classification: 6.3629181385[s]
+2016-08-25 12:10:25,368 DEBUG: Done: Classification
+2016-08-25 12:10:26,622 DEBUG: Start: Statistic Results
+2016-08-25 12:10:26,622 INFO: Accuracy :0.866666666667
+2016-08-25 12:10:26,634 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:10:26,634 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : RandomForest
+2016-08-25 12:10:26,634 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:10:26,646 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 12:10:26,646 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 12:10:26,646 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:10:26,646 DEBUG: Start: Classification
+2016-08-25 12:10:32,234 DEBUG: Info: Time for Classification: 5.60679197311[s]
+2016-08-25 12:10:32,234 DEBUG: Done: Classification
+2016-08-25 12:10:32,249 DEBUG: Start: Statistic Results
+2016-08-25 12:10:32,249 INFO: Accuracy :0.885714285714
+2016-08-25 12:10:32,260 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:10:32,260 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SGD
+2016-08-25 12:10:32,260 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:10:32,273 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 12:10:32,273 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 12:10:32,273 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:10:32,273 DEBUG: Start: Classification
+2016-08-25 12:10:33,487 DEBUG: Info: Time for Classification: 1.23348212242[s]
+2016-08-25 12:10:33,488 DEBUG: Done: Classification
+2016-08-25 12:10:33,497 DEBUG: Start: Statistic Results
+2016-08-25 12:10:33,497 INFO: Accuracy :0.847619047619
+2016-08-25 12:10:33,509 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:10:33,509 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMLinear
+2016-08-25 12:10:33,510 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:10:33,523 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 12:10:33,523 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 12:10:33,523 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:10:33,524 DEBUG: Start: Classification
+2016-08-25 12:10:38,614 DEBUG: Info: Time for Classification: 5.11222696304[s]
+2016-08-25 12:10:38,614 DEBUG: Done: Classification
+2016-08-25 12:10:38,945 DEBUG: Start: Statistic Results
+2016-08-25 12:10:38,945 INFO: Accuracy :0.857142857143
+2016-08-25 12:10:38,956 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:10:38,956 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMPoly
+2016-08-25 12:10:38,956 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:10:38,969 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 12:10:38,969 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 12:10:38,969 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:10:38,969 DEBUG: Start: Classification
+2016-08-25 12:10:51,617 DEBUG: Info: Time for Classification: 12.6670129299[s]
+2016-08-25 12:10:51,617 DEBUG: Done: Classification
+2016-08-25 12:10:51,886 DEBUG: Start: Statistic Results
+2016-08-25 12:10:51,886 INFO: Accuracy :0.866666666667
+2016-08-25 12:10:51,897 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:10:51,897 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMRBF
+2016-08-25 12:10:51,897 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:10:51,909 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 12:10:51,910 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 12:10:51,910 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:10:51,910 DEBUG: Start: Classification
+2016-08-25 12:10:56,265 DEBUG: Info: Time for Classification: 4.37458395958[s]
+2016-08-25 12:10:56,265 DEBUG: Done: Classification
+2016-08-25 12:10:56,557 DEBUG: Start: Statistic Results
+2016-08-25 12:10:56,557 INFO: Accuracy :0.895238095238
+2016-08-25 12:10:56,589 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:10:56,589 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 12:10:56,590 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:10:56,590 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 12:10:56,590 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 12:10:56,590 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:10:56,591 DEBUG: Start: Classification
+2016-08-25 12:10:56,807 DEBUG: Info: Time for Classification: 0.24490904808[s]
+2016-08-25 12:10:56,807 DEBUG: Done: Classification
+2016-08-25 12:10:56,809 DEBUG: Start: Statistic Results
+2016-08-25 12:10:56,809 INFO: Accuracy :0.809523809524
+2016-08-25 12:10:56,810 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:10:56,811 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 12:10:56,811 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:10:56,811 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 12:10:56,811 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 12:10:56,811 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:10:56,812 DEBUG: Start: Classification
+2016-08-25 12:10:56,952 DEBUG: Info: Time for Classification: 0.139029026031[s]
+2016-08-25 12:10:56,952 DEBUG: Done: Classification
+2016-08-25 12:10:56,953 DEBUG: Start: Statistic Results
+2016-08-25 12:10:56,954 INFO: Accuracy :0.847619047619
+2016-08-25 12:10:56,955 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:10:56,955 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : KNN
+2016-08-25 12:10:56,955 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:10:56,956 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 12:10:56,956 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 12:10:56,956 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:10:56,956 DEBUG: Start: Classification
+2016-08-25 12:10:57,169 DEBUG: Info: Time for Classification: 0.211897134781[s]
+2016-08-25 12:10:57,170 DEBUG: Done: Classification
+2016-08-25 12:10:57,202 DEBUG: Start: Statistic Results
+2016-08-25 12:10:57,202 INFO: Accuracy :0.771428571429
+2016-08-25 12:10:57,204 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:10:57,204 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : RandomForest
+2016-08-25 12:10:57,204 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:10:57,204 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 12:10:57,205 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 12:10:57,205 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:10:57,205 DEBUG: Start: Classification
+2016-08-25 12:10:59,430 DEBUG: Info: Time for Classification: 2.224132061[s]
+2016-08-25 12:10:59,430 DEBUG: Done: Classification
+2016-08-25 12:10:59,434 DEBUG: Start: Statistic Results
+2016-08-25 12:10:59,434 INFO: Accuracy :0.828571428571
+2016-08-25 12:10:59,436 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:10:59,436 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SGD
+2016-08-25 12:10:59,436 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:10:59,436 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 12:10:59,436 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 12:10:59,437 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:10:59,437 DEBUG: Start: Classification
+2016-08-25 12:10:59,516 DEBUG: Info: Time for Classification: 0.0774838924408[s]
+2016-08-25 12:10:59,516 DEBUG: Done: Classification
+2016-08-25 12:10:59,518 DEBUG: Start: Statistic Results
+2016-08-25 12:10:59,518 INFO: Accuracy :0.733333333333
+2016-08-25 12:10:59,519 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:10:59,520 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMLinear
+2016-08-25 12:10:59,520 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:10:59,520 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 12:10:59,520 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 12:10:59,521 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:10:59,521 DEBUG: Start: Classification
+2016-08-25 12:11:02,414 DEBUG: Info: Time for Classification: 2.89196300507[s]
+2016-08-25 12:11:02,414 DEBUG: Done: Classification
+2016-08-25 12:11:02,423 DEBUG: Start: Statistic Results
+2016-08-25 12:11:02,423 INFO: Accuracy :0.838095238095
+2016-08-25 12:11:02,424 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:11:02,424 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMPoly
+2016-08-25 12:11:02,424 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:11:02,425 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 12:11:02,425 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 12:11:02,425 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:11:02,425 DEBUG: Start: Classification
+2016-08-25 12:11:08,311 DEBUG: Info: Time for Classification: 5.88393998146[s]
+2016-08-25 12:11:08,311 DEBUG: Done: Classification
+2016-08-25 12:11:08,319 DEBUG: Start: Statistic Results
+2016-08-25 12:11:08,320 INFO: Accuracy :0.809523809524
+2016-08-25 12:11:08,321 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:11:08,321 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMRBF
+2016-08-25 12:11:08,321 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:11:08,322 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 12:11:08,322 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 12:11:08,322 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:11:08,322 DEBUG: Start: Classification
+2016-08-25 12:11:08,671 DEBUG: Info: Time for Classification: 0.346894979477[s]
+2016-08-25 12:11:08,671 DEBUG: Done: Classification
+2016-08-25 12:11:08,699 DEBUG: Start: Statistic Results
+2016-08-25 12:11:08,700 INFO: Accuracy :0.67619047619
+2016-08-25 12:11:08,729 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:11:08,729 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RNASeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 12:11:08,729 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:11:08,766 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 12:11:08,766 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 12:11:08,767 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:11:08,767 DEBUG: Start: Classification
+2016-08-25 12:11:35,632 DEBUG: Info: Time for Classification: 26.9284508228[s]
+2016-08-25 12:11:35,632 DEBUG: Done: Classification
+2016-08-25 12:11:35,643 DEBUG: Start: Statistic Results
+2016-08-25 12:11:35,643 INFO: Accuracy :0.590476190476
+2016-08-25 12:11:35,673 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:11:35,673 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RNASeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 12:11:35,674 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:11:35,710 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 12:11:35,710 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 12:11:35,710 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:11:35,710 DEBUG: Start: Classification
+2016-08-25 12:11:49,039 DEBUG: Info: Time for Classification: 13.3910770416[s]
+2016-08-25 12:11:49,039 DEBUG: Done: Classification
+2016-08-25 12:11:49,045 DEBUG: Start: Statistic Results
+2016-08-25 12:11:49,045 INFO: Accuracy :0.638095238095
+2016-08-25 12:11:49,075 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:11:49,075 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RNASeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : KNN
+2016-08-25 12:11:49,076 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:11:49,109 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 12:11:49,109 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 12:11:49,109 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:11:49,109 DEBUG: Start: Classification
+2016-08-25 12:12:06,958 DEBUG: Info: Time for Classification: 17.908219099[s]
+2016-08-25 12:12:06,958 DEBUG: Done: Classification
+2016-08-25 12:12:10,468 DEBUG: Start: Statistic Results
+2016-08-25 12:12:10,469 INFO: Accuracy :0.742857142857
+2016-08-25 12:12:10,499 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:12:10,499 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RNASeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : RandomForest
+2016-08-25 12:12:10,499 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:12:10,533 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 12:12:10,533 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 12:12:10,533 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:12:10,533 DEBUG: Start: Classification
+2016-08-25 12:12:20,140 DEBUG: Info: Time for Classification: 9.66632509232[s]
+2016-08-25 12:12:20,140 DEBUG: Done: Classification
+2016-08-25 12:12:20,159 DEBUG: Start: Statistic Results
+2016-08-25 12:12:20,159 INFO: Accuracy :0.733333333333
+2016-08-25 12:12:20,190 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:12:20,190 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RNASeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SGD
+2016-08-25 12:12:20,190 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:12:20,223 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 12:12:20,224 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 12:12:20,224 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:12:20,224 DEBUG: Start: Classification
+2016-08-25 12:12:22,135 DEBUG: Info: Time for Classification: 1.97095298767[s]
+2016-08-25 12:12:22,136 DEBUG: Done: Classification
+2016-08-25 12:12:22,161 DEBUG: Start: Statistic Results
+2016-08-25 12:12:22,161 INFO: Accuracy :0.571428571429
+2016-08-25 12:12:22,193 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:12:22,193 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RNASeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMLinear
+2016-08-25 12:12:22,193 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:12:22,231 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 12:12:22,231 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 12:12:22,231 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:12:22,231 DEBUG: Start: Classification
+2016-08-25 12:12:42,139 DEBUG: Info: Time for Classification: 19.9733979702[s]
+2016-08-25 12:12:42,139 DEBUG: Done: Classification
+2016-08-25 12:12:43,575 DEBUG: Start: Statistic Results
+2016-08-25 12:12:43,576 INFO: Accuracy :0.685714285714
+2016-08-25 12:12:43,605 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:12:43,606 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RNASeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMPoly
+2016-08-25 12:12:43,606 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:12:43,639 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 12:12:43,639 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 12:12:43,639 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:12:43,639 DEBUG: Start: Classification
+2016-08-25 12:13:48,634 DEBUG: Info: Time for Classification: 65.0537209511[s]
+2016-08-25 12:13:48,634 DEBUG: Done: Classification
+2016-08-25 12:13:50,054 DEBUG: Start: Statistic Results
+2016-08-25 12:13:50,055 INFO: Accuracy :0.685714285714
+2016-08-25 12:13:50,085 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:13:50,085 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RNASeq_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMRBF
+2016-08-25 12:13:50,085 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:13:50,119 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 12:13:50,119 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 12:13:50,119 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:13:50,119 DEBUG: Start: Classification
+2016-08-25 12:14:13,003 DEBUG: Info: Time for Classification: 22.9433510303[s]
+2016-08-25 12:14:13,003 DEBUG: Done: Classification
+2016-08-25 12:14:14,960 DEBUG: Start: Statistic Results
+2016-08-25 12:14:14,960 INFO: Accuracy :0.685714285714
+2016-08-25 12:14:14,963 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:14:14,963 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 12:14:14,963 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:14:14,963 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 12:14:14,963 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 12:14:14,963 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:14:14,963 DEBUG: Start: Classification
+2016-08-25 12:14:15,027 DEBUG: Info: Time for Classification: 0.0612008571625[s]
+2016-08-25 12:14:15,027 DEBUG: Done: Classification
+2016-08-25 12:14:15,028 DEBUG: Start: Statistic Results
+2016-08-25 12:14:15,028 INFO: Accuracy :0.847619047619
+2016-08-25 12:14:15,029 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:14:15,030 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 12:14:15,030 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:14:15,030 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 12:14:15,030 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 12:14:15,030 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:14:15,030 DEBUG: Start: Classification
+2016-08-25 12:14:15,071 DEBUG: Info: Time for Classification: 0.0382461547852[s]
+2016-08-25 12:14:15,071 DEBUG: Done: Classification
+2016-08-25 12:14:15,072 DEBUG: Start: Statistic Results
+2016-08-25 12:14:15,072 INFO: Accuracy :0.8
+2016-08-25 12:14:15,073 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:14:15,073 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : KNN
+2016-08-25 12:14:15,073 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:14:15,074 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 12:14:15,074 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 12:14:15,074 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:14:15,074 DEBUG: Start: Classification
+2016-08-25 12:14:15,130 DEBUG: Info: Time for Classification: 0.0538990497589[s]
+2016-08-25 12:14:15,130 DEBUG: Done: Classification
+2016-08-25 12:14:15,135 DEBUG: Start: Statistic Results
+2016-08-25 12:14:15,136 INFO: Accuracy :0.780952380952
+2016-08-25 12:14:15,137 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:14:15,137 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : RandomForest
+2016-08-25 12:14:15,137 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:14:15,137 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 12:14:15,137 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 12:14:15,137 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:14:15,137 DEBUG: Start: Classification
+2016-08-25 12:14:17,391 DEBUG: Info: Time for Classification: 2.25137495995[s]
+2016-08-25 12:14:17,391 DEBUG: Done: Classification
+2016-08-25 12:14:17,404 DEBUG: Start: Statistic Results
+2016-08-25 12:14:17,405 INFO: Accuracy :0.714285714286
+2016-08-25 12:14:17,406 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:14:17,406 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SGD
+2016-08-25 12:14:17,406 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:14:17,406 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 12:14:17,406 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 12:14:17,406 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:14:17,406 DEBUG: Start: Classification
+2016-08-25 12:14:17,471 DEBUG: Info: Time for Classification: 0.0620081424713[s]
+2016-08-25 12:14:17,471 DEBUG: Done: Classification
+2016-08-25 12:14:17,472 DEBUG: Start: Statistic Results
+2016-08-25 12:14:17,473 INFO: Accuracy :0.695238095238
+2016-08-25 12:14:17,474 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:14:17,474 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMLinear
+2016-08-25 12:14:17,474 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:14:17,474 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 12:14:17,474 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 12:14:17,474 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:14:17,475 DEBUG: Start: Classification
+2016-08-25 12:15:19,464 DEBUG: Info: Time for Classification: 61.9875869751[s]
+2016-08-25 12:15:19,464 DEBUG: Done: Classification
+2016-08-25 12:15:19,467 DEBUG: Start: Statistic Results
+2016-08-25 12:15:19,467 INFO: Accuracy :0.638095238095
+2016-08-25 12:15:19,468 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:15:19,468 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMPoly
+2016-08-25 12:15:19,468 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:15:19,469 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 12:15:19,469 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 12:15:19,469 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:15:19,469 DEBUG: Start: Classification
+2016-08-25 12:16:34,899 DEBUG: Info: Time for Classification: 75.4275701046[s]
+2016-08-25 12:16:34,899 DEBUG: Done: Classification
+2016-08-25 12:16:34,901 DEBUG: Start: Statistic Results
+2016-08-25 12:16:34,902 INFO: Accuracy :0.657142857143
+2016-08-25 12:16:34,903 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:16:34,903 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMRBF
+2016-08-25 12:16:34,903 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:16:34,903 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 12:16:34,903 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 12:16:34,903 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:16:34,903 DEBUG: Start: Classification
+2016-08-25 12:16:35,009 DEBUG: Info: Time for Classification: 0.103229999542[s]
+2016-08-25 12:16:35,009 DEBUG: Done: Classification
+2016-08-25 12:16:35,014 DEBUG: Start: Statistic Results
+2016-08-25 12:16:35,015 INFO: Accuracy :0.771428571429
+2016-08-25 12:16:35,075 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:16:35,075 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MRNASeq train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 12:16:35,075 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:16:35,128 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 12:16:35,128 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 12:16:35,129 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:16:35,129 DEBUG: Start: Classification
+2016-08-25 12:17:07,877 DEBUG: Info: Time for Classification: 32.8587520123[s]
+2016-08-25 12:17:07,877 DEBUG: Done: Classification
+2016-08-25 12:17:07,898 DEBUG: Start: Statistic Results
+2016-08-25 12:17:07,899 INFO: Accuracy :0.647619047619
+2016-08-25 12:17:07,957 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:17:07,957 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MRNASeq train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 12:17:07,957 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:17:08,010 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 12:17:08,010 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 12:17:08,010 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:17:08,011 DEBUG: Start: Classification
+2016-08-25 12:17:26,270 DEBUG: Info: Time for Classification: 18.3661141396[s]
+2016-08-25 12:17:26,270 DEBUG: Done: Classification
+2016-08-25 12:17:26,285 DEBUG: Start: Statistic Results
+2016-08-25 12:17:26,286 INFO: Accuracy :0.714285714286
+2016-08-25 12:17:26,344 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:17:26,344 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MRNASeq train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : KNN
+2016-08-25 12:17:26,344 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:17:26,397 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 12:17:26,397 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 12:17:26,397 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:17:26,398 DEBUG: Start: Classification
+2016-08-25 12:17:44,516 DEBUG: Info: Time for Classification: 18.2252669334[s]
+2016-08-25 12:17:44,516 DEBUG: Done: Classification
+2016-08-25 12:17:47,997 DEBUG: Start: Statistic Results
+2016-08-25 12:17:47,997 INFO: Accuracy :0.695238095238
+2016-08-25 12:17:48,056 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:17:48,056 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MRNASeq train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : RandomForest
+2016-08-25 12:17:48,056 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:17:48,110 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 12:17:48,110 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 12:17:48,110 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:17:48,110 DEBUG: Start: Classification
+2016-08-25 12:17:58,589 DEBUG: Info: Time for Classification: 10.5856118202[s]
+2016-08-25 12:17:58,589 DEBUG: Done: Classification
+2016-08-25 12:17:58,612 DEBUG: Start: Statistic Results
+2016-08-25 12:17:58,612 INFO: Accuracy :0.8
+2016-08-25 12:17:58,670 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:17:58,670 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MRNASeq train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SGD
+2016-08-25 12:17:58,671 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:17:58,723 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 12:17:58,723 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 12:17:58,723 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:17:58,723 DEBUG: Start: Classification
+2016-08-25 12:18:00,754 DEBUG: Info: Time for Classification: 2.13649511337[s]
+2016-08-25 12:18:00,755 DEBUG: Done: Classification
+2016-08-25 12:18:00,779 DEBUG: Start: Statistic Results
+2016-08-25 12:18:00,780 INFO: Accuracy :0.742857142857
+2016-08-25 12:18:00,842 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:18:00,843 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MRNASeq train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMLinear
+2016-08-25 12:18:00,843 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:18:00,902 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 12:18:00,902 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 12:18:00,902 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:18:00,902 DEBUG: Start: Classification
+2016-08-25 12:18:23,520 DEBUG: Info: Time for Classification: 22.7355811596[s]
+2016-08-25 12:18:23,521 DEBUG: Done: Classification
+2016-08-25 12:18:25,414 DEBUG: Start: Statistic Results
+2016-08-25 12:18:25,414 INFO: Accuracy :0.67619047619
+2016-08-25 12:18:25,473 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:18:25,473 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MRNASeq train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMPoly
+2016-08-25 12:18:25,473 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:18:25,526 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 12:18:25,526 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 12:18:25,526 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:18:25,526 DEBUG: Start: Classification
+2016-08-25 12:19:42,546 DEBUG: Info: Time for Classification: 77.1261219978[s]
+2016-08-25 12:19:42,546 DEBUG: Done: Classification
+2016-08-25 12:19:44,438 DEBUG: Start: Statistic Results
+2016-08-25 12:19:44,438 INFO: Accuracy :0.67619047619
+2016-08-25 12:19:44,497 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 12:19:44,497 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MRNASeq train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : SVMRBF
+2016-08-25 12:19:44,497 DEBUG: Start: Determine Train/Test split
+2016-08-25 12:19:44,550 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 12:19:44,550 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 12:19:44,551 DEBUG: Done: Determine Train/Test split
+2016-08-25 12:19:44,551 DEBUG: Start: Classification
+2016-08-25 12:20:07,617 DEBUG: Info: Time for Classification: 23.1730480194[s]
+2016-08-25 12:20:07,617 DEBUG: Done: Classification
+2016-08-25 12:20:09,575 DEBUG: Start: Statistic Results
+2016-08-25 12:20:09,576 INFO: Accuracy :0.714285714286
diff --git a/Code/MonoMutliViewClassifiers/Results/20160825-131951-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log b/Code/MonoMutliViewClassifiers/Results/20160825-131951-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
new file mode 100644
index 00000000..b65e0f73
--- /dev/null
+++ b/Code/MonoMutliViewClassifiers/Results/20160825-131951-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
@@ -0,0 +1,19 @@
+2016-08-25 13:19:51,521 INFO: Start: Finding all available mono- & multiview algorithms
+2016-08-25 13:19:51,533 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:19:51,533 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : Adaboost
+2016-08-25 13:19:51,533 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:19:51,547 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 13:19:51,547 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 13:19:51,547 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:19:51,547 DEBUG: Start: Classification
+2016-08-25 13:19:58,142 DEBUG: Info: Time for Classification: 6.61497592926[s]
+2016-08-25 13:19:58,142 DEBUG: Done: Classification
+2016-08-25 13:19:58,147 DEBUG: Start: Statistic Results
+2016-08-25 13:19:58,147 INFO: Accuracy :0.857142857143
+2016-08-25 13:19:58,159 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:19:58,159 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:2, cores:1, algorithm : DecisionTree
+2016-08-25 13:19:58,159 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:19:58,170 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 13:19:58,171 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 13:19:58,171 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:19:58,171 DEBUG: Start: Classification
diff --git a/Code/MonoMutliViewClassifiers/Results/20160825-132014-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log b/Code/MonoMutliViewClassifiers/Results/20160825-132014-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
new file mode 100644
index 00000000..5c6c1813
--- /dev/null
+++ b/Code/MonoMutliViewClassifiers/Results/20160825-132014-CMultiV-Benchmark-Methyl_MiRNA__RNASeq_Clinic-ModifiedMultiOmic-LOG.log
@@ -0,0 +1,338 @@
+2016-08-25 13:20:14,685 INFO: Start: Finding all available mono- & multiview algorithms
+2016-08-25 13:20:14,698 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:20:14,699 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:5, cores:1, algorithm : Adaboost
+2016-08-25 13:20:14,699 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:20:14,712 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 13:20:14,712 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 13:20:14,712 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:20:14,712 DEBUG: Start: Classification
+2016-08-25 13:20:37,497 DEBUG: Info: Time for Classification: 22.8051388264[s]
+2016-08-25 13:20:37,497 DEBUG: Done: Classification
+2016-08-25 13:20:37,502 DEBUG: Start: Statistic Results
+2016-08-25 13:20:37,502 INFO: Accuracy :0.780952380952
+2016-08-25 13:20:37,513 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:20:37,514 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:5, cores:1, algorithm : DecisionTree
+2016-08-25 13:20:37,514 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:20:37,524 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 13:20:37,524 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 13:20:37,524 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:20:37,524 DEBUG: Start: Classification
+2016-08-25 13:20:59,823 DEBUG: Info: Time for Classification: 22.3166019917[s]
+2016-08-25 13:20:59,823 DEBUG: Done: Classification
+2016-08-25 13:20:59,826 DEBUG: Start: Statistic Results
+2016-08-25 13:20:59,827 INFO: Accuracy :0.847619047619
+2016-08-25 13:20:59,835 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:20:59,835 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:5, cores:1, algorithm : KNN
+2016-08-25 13:20:59,835 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:20:59,847 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 13:20:59,847 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 13:20:59,847 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:20:59,847 DEBUG: Start: Classification
+2016-08-25 13:21:09,483 DEBUG: Info: Time for Classification: 9.65171790123[s]
+2016-08-25 13:21:09,483 DEBUG: Done: Classification
+2016-08-25 13:21:10,739 DEBUG: Start: Statistic Results
+2016-08-25 13:21:10,740 INFO: Accuracy :0.847619047619
+2016-08-25 13:21:10,751 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:21:10,752 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:5, cores:1, algorithm : RandomForest
+2016-08-25 13:21:10,752 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:21:10,764 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 13:21:10,764 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 13:21:10,764 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:21:10,764 DEBUG: Start: Classification
+2016-08-25 13:21:28,396 DEBUG: Info: Time for Classification: 17.6519529819[s]
+2016-08-25 13:21:28,397 DEBUG: Done: Classification
+2016-08-25 13:21:28,412 DEBUG: Start: Statistic Results
+2016-08-25 13:21:28,412 INFO: Accuracy :0.866666666667
+2016-08-25 13:21:28,424 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:21:28,424 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:5, cores:1, algorithm : SGD
+2016-08-25 13:21:28,424 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:21:28,437 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 13:21:28,437 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 13:21:28,437 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:21:28,437 DEBUG: Start: Classification
+2016-08-25 13:21:31,751 DEBUG: Info: Time for Classification: 3.33376407623[s]
+2016-08-25 13:21:31,752 DEBUG: Done: Classification
+2016-08-25 13:21:31,761 DEBUG: Start: Statistic Results
+2016-08-25 13:21:31,761 INFO: Accuracy :0.828571428571
+2016-08-25 13:21:31,774 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:21:31,774 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:5, cores:1, algorithm : SVMLinear
+2016-08-25 13:21:31,774 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:21:31,788 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 13:21:31,788 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 13:21:31,788 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:21:31,788 DEBUG: Start: Classification
+2016-08-25 13:21:44,425 DEBUG: Info: Time for Classification: 12.6593310833[s]
+2016-08-25 13:21:44,425 DEBUG: Done: Classification
+2016-08-25 13:21:44,725 DEBUG: Start: Statistic Results
+2016-08-25 13:21:44,725 INFO: Accuracy :0.87619047619
+2016-08-25 13:21:44,736 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:21:44,737 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:5, cores:1, algorithm : SVMPoly
+2016-08-25 13:21:44,737 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:21:44,749 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 13:21:44,749 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 13:21:44,749 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:21:44,749 DEBUG: Start: Classification
+2016-08-25 13:22:42,757 DEBUG: Info: Time for Classification: 58.0271451473[s]
+2016-08-25 13:22:42,757 DEBUG: Done: Classification
+2016-08-25 13:22:43,069 DEBUG: Start: Statistic Results
+2016-08-25 13:22:43,070 INFO: Accuracy :0.857142857143
+2016-08-25 13:22:43,081 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:22:43,081 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Methyl_ train_size:0.7, CrossValidation k-folds:5, cores:1, algorithm : SVMRBF
+2016-08-25 13:22:43,081 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:22:43,093 DEBUG: Info: Shape X_train:(242, 25978), Length of y_train:242
+2016-08-25 13:22:43,094 DEBUG: Info: Shape X_test:(105, 25978), Length of y_test:105
+2016-08-25 13:22:43,094 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:22:43,094 DEBUG: Start: Classification
+2016-08-25 13:22:57,862 DEBUG: Info: Time for Classification: 14.7875878811[s]
+2016-08-25 13:22:57,862 DEBUG: Done: Classification
+2016-08-25 13:22:58,170 DEBUG: Start: Statistic Results
+2016-08-25 13:22:58,171 INFO: Accuracy :0.895238095238
+2016-08-25 13:22:58,175 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:22:58,176 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:5, cores:1, algorithm : Adaboost
+2016-08-25 13:22:58,176 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:22:58,177 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 13:22:58,178 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 13:22:58,178 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:22:58,178 DEBUG: Start: Classification
+2016-08-25 13:22:58,947 DEBUG: Info: Time for Classification: 0.769759893417[s]
+2016-08-25 13:22:58,947 DEBUG: Done: Classification
+2016-08-25 13:22:58,949 DEBUG: Start: Statistic Results
+2016-08-25 13:22:58,949 INFO: Accuracy :0.819047619048
+2016-08-25 13:22:58,950 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:22:58,950 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:5, cores:1, algorithm : DecisionTree
+2016-08-25 13:22:58,951 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:22:58,951 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 13:22:58,951 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 13:22:58,951 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:22:58,951 DEBUG: Start: Classification
+2016-08-25 13:22:59,519 DEBUG: Info: Time for Classification: 0.56587600708[s]
+2016-08-25 13:22:59,519 DEBUG: Done: Classification
+2016-08-25 13:22:59,520 DEBUG: Start: Statistic Results
+2016-08-25 13:22:59,521 INFO: Accuracy :0.847619047619
+2016-08-25 13:22:59,522 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:22:59,522 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:5, cores:1, algorithm : KNN
+2016-08-25 13:22:59,522 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:22:59,523 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 13:22:59,523 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 13:22:59,523 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:22:59,523 DEBUG: Start: Classification
+2016-08-25 13:22:59,881 DEBUG: Info: Time for Classification: 0.356713056564[s]
+2016-08-25 13:22:59,881 DEBUG: Done: Classification
+2016-08-25 13:22:59,922 DEBUG: Start: Statistic Results
+2016-08-25 13:22:59,922 INFO: Accuracy :0.847619047619
+2016-08-25 13:22:59,923 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:22:59,923 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:5, cores:1, algorithm : RandomForest
+2016-08-25 13:22:59,923 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:22:59,924 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 13:22:59,924 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 13:22:59,924 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:22:59,924 DEBUG: Start: Classification
+2016-08-25 13:23:06,346 DEBUG: Info: Time for Classification: 6.42062091827[s]
+2016-08-25 13:23:06,347 DEBUG: Done: Classification
+2016-08-25 13:23:06,355 DEBUG: Start: Statistic Results
+2016-08-25 13:23:06,355 INFO: Accuracy :0.885714285714
+2016-08-25 13:23:06,356 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:23:06,357 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:5, cores:1, algorithm : SGD
+2016-08-25 13:23:06,357 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:23:06,357 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 13:23:06,357 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 13:23:06,358 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:23:06,358 DEBUG: Start: Classification
+2016-08-25 13:23:06,551 DEBUG: Info: Time for Classification: 0.191711902618[s]
+2016-08-25 13:23:06,551 DEBUG: Done: Classification
+2016-08-25 13:23:06,553 DEBUG: Start: Statistic Results
+2016-08-25 13:23:06,553 INFO: Accuracy :0.666666666667
+2016-08-25 13:23:06,555 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:23:06,555 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:5, cores:1, algorithm : SVMLinear
+2016-08-25 13:23:06,555 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:23:06,556 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 13:23:06,556 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 13:23:06,556 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:23:06,556 DEBUG: Start: Classification
+2016-08-25 13:23:22,374 DEBUG: Info: Time for Classification: 15.8164999485[s]
+2016-08-25 13:23:22,374 DEBUG: Done: Classification
+2016-08-25 13:23:22,383 DEBUG: Start: Statistic Results
+2016-08-25 13:23:22,383 INFO: Accuracy :0.72380952381
+2016-08-25 13:23:22,384 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:23:22,384 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:5, cores:1, algorithm : SVMPoly
+2016-08-25 13:23:22,384 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:23:22,385 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 13:23:22,385 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 13:23:22,385 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:23:22,385 DEBUG: Start: Classification
+2016-08-25 13:25:30,259 DEBUG: Info: Time for Classification: 127.871929884[s]
+2016-08-25 13:25:30,259 DEBUG: Done: Classification
+2016-08-25 13:25:30,268 DEBUG: Start: Statistic Results
+2016-08-25 13:25:30,268 INFO: Accuracy :0.847619047619
+2016-08-25 13:25:30,270 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:25:30,270 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:MiRNA__ train_size:0.7, CrossValidation k-folds:5, cores:1, algorithm : SVMRBF
+2016-08-25 13:25:30,270 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:25:30,271 DEBUG: Info: Shape X_train:(242, 1046), Length of y_train:242
+2016-08-25 13:25:30,271 DEBUG: Info: Shape X_test:(105, 1046), Length of y_test:105
+2016-08-25 13:25:30,271 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:25:30,271 DEBUG: Start: Classification
+2016-08-25 13:25:31,444 DEBUG: Info: Time for Classification: 1.17135906219[s]
+2016-08-25 13:25:31,444 DEBUG: Done: Classification
+2016-08-25 13:25:31,474 DEBUG: Start: Statistic Results
+2016-08-25 13:25:31,474 INFO: Accuracy :0.685714285714
+2016-08-25 13:25:31,506 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:25:31,506 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RNASeq_ train_size:0.7, CrossValidation k-folds:5, cores:1, algorithm : Adaboost
+2016-08-25 13:25:31,507 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:25:31,572 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 13:25:31,572 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 13:25:31,572 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:25:31,572 DEBUG: Start: Classification
+2016-08-25 13:27:30,938 DEBUG: Info: Time for Classification: 119.459644079[s]
+2016-08-25 13:27:30,938 DEBUG: Done: Classification
+2016-08-25 13:27:30,949 DEBUG: Start: Statistic Results
+2016-08-25 13:27:30,949 INFO: Accuracy :0.590476190476
+2016-08-25 13:27:30,980 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:27:30,980 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RNASeq_ train_size:0.7, CrossValidation k-folds:5, cores:1, algorithm : DecisionTree
+2016-08-25 13:27:30,980 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:27:31,017 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 13:27:31,018 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 13:27:31,018 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:27:31,018 DEBUG: Start: Classification
+2016-08-25 13:28:36,463 DEBUG: Info: Time for Classification: 65.5089988708[s]
+2016-08-25 13:28:36,463 DEBUG: Done: Classification
+2016-08-25 13:28:36,469 DEBUG: Start: Statistic Results
+2016-08-25 13:28:36,470 INFO: Accuracy :0.72380952381
+2016-08-25 13:28:36,500 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:28:36,500 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RNASeq_ train_size:0.7, CrossValidation k-folds:5, cores:1, algorithm : KNN
+2016-08-25 13:28:36,500 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:28:36,534 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 13:28:36,534 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 13:28:36,534 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:28:36,534 DEBUG: Start: Classification
+2016-08-25 13:29:05,096 DEBUG: Info: Time for Classification: 28.6222760677[s]
+2016-08-25 13:29:05,097 DEBUG: Done: Classification
+2016-08-25 13:29:08,500 DEBUG: Start: Statistic Results
+2016-08-25 13:29:08,500 INFO: Accuracy :0.752380952381
+2016-08-25 13:29:08,534 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:29:08,534 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RNASeq_ train_size:0.7, CrossValidation k-folds:5, cores:1, algorithm : RandomForest
+2016-08-25 13:29:08,534 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:29:08,571 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 13:29:08,571 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 13:29:08,571 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:29:08,571 DEBUG: Start: Classification
+2016-08-25 13:29:42,117 DEBUG: Info: Time for Classification: 33.6098408699[s]
+2016-08-25 13:29:42,117 DEBUG: Done: Classification
+2016-08-25 13:29:42,136 DEBUG: Start: Statistic Results
+2016-08-25 13:29:42,136 INFO: Accuracy :0.742857142857
+2016-08-25 13:29:42,166 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:29:42,167 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RNASeq_ train_size:0.7, CrossValidation k-folds:5, cores:1, algorithm : SGD
+2016-08-25 13:29:42,167 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:29:42,200 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 13:29:42,200 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 13:29:42,201 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:29:42,201 DEBUG: Start: Classification
+2016-08-25 13:29:48,059 DEBUG: Info: Time for Classification: 5.9161491394[s]
+2016-08-25 13:29:48,060 DEBUG: Done: Classification
+2016-08-25 13:29:48,085 DEBUG: Start: Statistic Results
+2016-08-25 13:29:48,085 INFO: Accuracy :0.6
+2016-08-25 13:29:48,118 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:29:48,118 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RNASeq_ train_size:0.7, CrossValidation k-folds:5, cores:1, algorithm : SVMLinear
+2016-08-25 13:29:48,118 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:29:48,156 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 13:29:48,156 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 13:29:48,156 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:29:48,156 DEBUG: Start: Classification
+2016-08-25 13:30:59,876 DEBUG: Info: Time for Classification: 71.7855570316[s]
+2016-08-25 13:30:59,876 DEBUG: Done: Classification
+2016-08-25 13:31:01,233 DEBUG: Start: Statistic Results
+2016-08-25 13:31:01,233 INFO: Accuracy :0.590476190476
+2016-08-25 13:31:01,266 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:31:01,266 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RNASeq_ train_size:0.7, CrossValidation k-folds:5, cores:1, algorithm : SVMPoly
+2016-08-25 13:31:01,266 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:31:01,301 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 13:31:01,301 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 13:31:01,301 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:31:01,301 DEBUG: Start: Classification
+2016-08-25 13:35:31,594 DEBUG: Info: Time for Classification: 270.354785204[s]
+2016-08-25 13:35:31,595 DEBUG: Done: Classification
+2016-08-25 13:35:32,918 DEBUG: Start: Statistic Results
+2016-08-25 13:35:32,918 INFO: Accuracy :0.580952380952
+2016-08-25 13:35:32,952 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:35:32,952 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:RNASeq_ train_size:0.7, CrossValidation k-folds:5, cores:1, algorithm : SVMRBF
+2016-08-25 13:35:32,952 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:35:32,986 DEBUG: Info: Shape X_train:(242, 73599), Length of y_train:242
+2016-08-25 13:35:32,986 DEBUG: Info: Shape X_test:(105, 73599), Length of y_test:105
+2016-08-25 13:35:32,986 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:35:32,986 DEBUG: Start: Classification
+2016-08-25 13:36:51,112 DEBUG: Info: Time for Classification: 78.1855049133[s]
+2016-08-25 13:36:51,112 DEBUG: Done: Classification
+2016-08-25 13:36:53,108 DEBUG: Start: Statistic Results
+2016-08-25 13:36:53,109 INFO: Accuracy :0.733333333333
+2016-08-25 13:36:53,136 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:36:53,136 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:5, cores:1, algorithm : Adaboost
+2016-08-25 13:36:53,137 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:36:53,137 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 13:36:53,137 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 13:36:53,137 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:36:53,137 DEBUG: Start: Classification
+2016-08-25 13:36:53,285 DEBUG: Info: Time for Classification: 0.166023015976[s]
+2016-08-25 13:36:53,285 DEBUG: Done: Classification
+2016-08-25 13:36:53,286 DEBUG: Start: Statistic Results
+2016-08-25 13:36:53,287 INFO: Accuracy :0.857142857143
+2016-08-25 13:36:53,287 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:36:53,288 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:5, cores:1, algorithm : DecisionTree
+2016-08-25 13:36:53,288 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:36:53,288 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 13:36:53,288 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 13:36:53,288 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:36:53,288 DEBUG: Start: Classification
+2016-08-25 13:36:53,379 DEBUG: Info: Time for Classification: 0.0886459350586[s]
+2016-08-25 13:36:53,379 DEBUG: Done: Classification
+2016-08-25 13:36:53,380 DEBUG: Start: Statistic Results
+2016-08-25 13:36:53,381 INFO: Accuracy :0.809523809524
+2016-08-25 13:36:53,382 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:36:53,382 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:5, cores:1, algorithm : KNN
+2016-08-25 13:36:53,382 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:36:53,382 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 13:36:53,382 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 13:36:53,383 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:36:53,383 DEBUG: Start: Classification
+2016-08-25 13:36:53,490 DEBUG: Info: Time for Classification: 0.105124950409[s]
+2016-08-25 13:36:53,490 DEBUG: Done: Classification
+2016-08-25 13:36:53,495 DEBUG: Start: Statistic Results
+2016-08-25 13:36:53,495 INFO: Accuracy :0.752380952381
+2016-08-25 13:36:53,496 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:36:53,496 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:5, cores:1, algorithm : RandomForest
+2016-08-25 13:36:53,496 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:36:53,497 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 13:36:53,497 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 13:36:53,497 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:36:53,497 DEBUG: Start: Classification
+2016-08-25 13:36:58,727 DEBUG: Info: Time for Classification: 5.22837591171[s]
+2016-08-25 13:36:58,728 DEBUG: Done: Classification
+2016-08-25 13:36:58,736 DEBUG: Start: Statistic Results
+2016-08-25 13:36:58,737 INFO: Accuracy :0.838095238095
+2016-08-25 13:36:58,738 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:36:58,738 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:5, cores:1, algorithm : SGD
+2016-08-25 13:36:58,738 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:36:58,738 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 13:36:58,738 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 13:36:58,738 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:36:58,738 DEBUG: Start: Classification
+2016-08-25 13:36:58,874 DEBUG: Info: Time for Classification: 0.133494138718[s]
+2016-08-25 13:36:58,874 DEBUG: Done: Classification
+2016-08-25 13:36:58,876 DEBUG: Start: Statistic Results
+2016-08-25 13:36:58,876 INFO: Accuracy :0.695238095238
+2016-08-25 13:36:58,878 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:36:58,878 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:5, cores:1, algorithm : SVMLinear
+2016-08-25 13:36:58,878 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:36:58,878 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 13:36:58,879 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 13:36:58,879 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:36:58,879 DEBUG: Start: Classification
+2016-08-25 13:56:29,260 DEBUG: Info: Time for Classification: 1170.37898803[s]
+2016-08-25 13:56:29,260 DEBUG: Done: Classification
+2016-08-25 13:56:29,262 DEBUG: Start: Statistic Results
+2016-08-25 13:56:29,262 INFO: Accuracy :0.666666666667
+2016-08-25 13:56:29,263 DEBUG: ### Main Programm for Classification MonoView
+2016-08-25 13:56:29,263 DEBUG: ### Classification - Database:ModifiedMultiOmic Feature:Clinic_ train_size:0.7, CrossValidation k-folds:5, cores:1, algorithm : SVMPoly
+2016-08-25 13:56:29,264 DEBUG: Start: Determine Train/Test split
+2016-08-25 13:56:29,264 DEBUG: Info: Shape X_train:(242, 127), Length of y_train:242
+2016-08-25 13:56:29,264 DEBUG: Info: Shape X_test:(105, 127), Length of y_test:105
+2016-08-25 13:56:29,264 DEBUG: Done: Determine Train/Test split
+2016-08-25 13:56:29,264 DEBUG: Start: Classification
diff --git a/Code/MonoMutliViewClassifiers/Results/poulet20160825-093643.png b/Code/MonoMutliViewClassifiers/Results/poulet20160825-093643.png
new file mode 100644
index 0000000000000000000000000000000000000000..975764dbff18662823de0583b68e2368d9c71668
GIT binary patch
literal 10223
zcmeAS@N?(olHy`uVBq!ia0y~yU{+vYV2a>iV_;yIRn}C%z`(##?Bp53!NI{%!;#X#
zz`(#+;1OBOz`&mf!i+2ImuE6CC@^@sIEGZrd3(2h%GJ`j$3I?|t>fiXTJVfPFQg@?
zOU9u{H{8rv^JLwQiEG;Aj@~^RuT!<g^?H_ZRN2y!yO-AFsvh!Cz7tejs=RdbD=&_+
zPZ}$qo^PDW;e3ZpW#@1A*K^X?bFaLwd8g2S-2UYEI=%0<?-wtx{Is`x#nsnes~8v<
zxH7W7FfcG2c<0=}z`$^nLx6!{fdnHH1A~aN0|P@t5(@_dLqHD$BLhR1paKJfgCP?O
z1A~U!2vR)buARfb=k@>8=l{C0{L{Sed(@rV`Fw+egT-{Cwp`wveSO{8D=UMI3mzQc
zk+m{0PCs|%Sg&+>)wk^U-%<BIP20Yt{{KHo<20XrKaT2`J)h3Vz_7dJuAPHf-kllU
z`ui+E`hR?U9K8B!S=G9&TTR_%3SH_xcE_ju`}5QC|DVsrmwnBj-hE$JUibU<{W6Q{
ztD)gfzg+e|e~?{%j(*+8Zp%L(4i}%ZeEwvTx1Q!lRYnGf{?OIeUw?Juzvyv$d;a;$
z{`PZgzuz_gey7-<&-Tj&otPa4#_8wY6uj#(K6he~Yxk$k^Z)7`Zs+%(q!Yi-#$CR)
zWZ$Q$>r<|+iS(SbHhO#7|G(eQKWvwu_rC7??ziXvzi_vo1!7h{>Qpz%xUiroUV(w(
zi^A@|vJ>oTf2G{7{r<Q4`83_=X_=RoZ9VQjNv8BlAjtdccE8*8EqnXjvS_p1TT_hB
zSu8&M`Mk~NGd929Y~J~D+3Z!)atsV*hP!JUN{;R-eZ491aGTF8la-f~C#(CPn`N4P
ztN!mHd;d8W8xQa76jooha^=dykqits?s81fi`ZXRJ88+%rAsd->+0&>+>#l*E&u+#
zx^3a><8D^J-)lYR_2uRMZG5t`N?%_q{eOUg;es>g1ig&xZ0|{5USD5-Ir;3_v$E&5
zY~8vv|NcJfzqPYw&%S-0k>S9*73GWBZ-{<*f8XA7Q||3;e*L+3cWpg9^WWd!&v!nb
zcl+i0&84reeJi%!T=@9doubpalBQW#yyr19EHJ!v>(-|ii~FC=NbY<2rB8g9TSLh~
z?)<$~57$QQ&;R@DtE5qi$FDChFV}th`F#HQW4+SWf4q0r{{HsoRrvl>8xjx4eJRb`
z`E=Txl1rYV{`?FMSH<+><_P=SY`mEKW)h2sIFGcM&hIyy{lnHqU46N6s&;tVpC2FJ
z?w7N#t9kXcDr{}k)Rn=@x5fYe*k3<K*1D|3;`jevDO0VJ@Bg*RS(oLM#vjPbIyc91
z=a);~(zeI+&daS%o_=-X>8u;crEfM_+15_yxB1}UXZ3Q)xA(UzezJIo%hvz-7`Y`Q
zFe*CQ`j4#wzuk|7bJp+od@Fum^W54v<-~-T%BNFhnVy`|UVlce`pv}Te%o)Z@sC@#
z$M(uvn+dD=yjZqA<-1|V1%>K04Ypy&^*|PGIR5HJYH8Wj*s9%swACFZ)x7kMKefL8
z@9QnwwyAmU`@Z-6(@yny9+T!2pR<&-C`i!T@t{d3c9%);GM|%gZf@S3dU~2p#0G_S
znIaEA%coPm-Cw<Pr=@s&P2oAK*K2&{+u0tMDfX%RvRMA<?E8Px?7r_jpSphUx2z-6
zIT#phn;1MdB^+$B`S;_o=cK5$(_XLNZ+AVuzIM|6zr4?w+4;_N2r6$%I@&d-`rXc%
z*5!G>zP+8Dd3jmt!6w$X^Z!>IJZ|@G<CnL$&FBCB^St;luXze6qohucowoVB-R>XP
z*%%mXI~hDbolx#Cd3oo?#^mD9XU)rBzR6rZciLq?>$g{XSQ!}BTmF+1h})cYX2!)A
zf^oucHd>WM%I;p%1`VL~wOgz9#^rwz_;c>n)z!v@kB;0aK5x7GNc(yQhBEVg@zr1N
zFpl7od6?8wm6CFGKOW90IK+9g{{P?2$K|S1-rU%@^T(s^%h#@5dwA#8)@<X_S66ss
zEDW66`Oco1X$&fF*nD{z7;N3&yYX*WUGeFpdhv^e?P(t#9JKuXW-};1-YLBv`}4|j
zyQx=Khd=-IdcFUoE!(y|>rn1H@!(*yas9tPIX5?{PLC<_e7F1kzBMsBjrLYYTQV^0
z*1ykNei2kHoH0KCWZmv}ryAMiW~j_G%?_Ja|L<qbW9j=Ro}Ha-oN-~nnc3$0xw*MJ
zzu&7iuKDpn<>bP4xmk<*?X0-P_0Ft`+${Aom4U&*xsp3fJon}%RnJZD_x�vG0D}
z@1-kOYS#Y#<~vCzdYjJWWxm<{{VJBPRxCD3J2NAu{BG$}Ha3O^Igf^ti&Hd%gVtX!
zezkJ>Gj;o)p7Uxxos6k|yY=U%>HFv0+?>9={{O$o?Rl|gIX5PFPF5?e`uF7I<jrYk
zXR-P4F)-M+Z%-(_Xn0&^GN_`R|NGAKPkZ0j>U##QzFPFKRs5Op{GUFPQvUw>>N#oJ
zv}u0l^D{F~F7utesrL7`FE1}Izw>~B;X*UVgz1S_Rs>ppI-&eIz5ZJ|sN~Mu^>P`=
z_rKq6k3VPexaZsawyW#o_xqjC&CBzfv}Nm7P5}mnvS_9y-TS_-&3~%@?~(qe4~O};
z-+%by0K46U=kx3B=KnaNZj^ki2T{44zrU+Ad(xKqj0_ETCo;TTq`iKR5vbh!@@>`Q
zK5M=B|G%z-eD-aA-`7LY8|&`>`uZ9a&w6+N&M;2*W8;;&^6*xVq%p|Q@Q<Pl3?GVg
zA~&gcPt$o>ko)=BS>9RCwmLVITnzTNovP^ER<dhf?eA|_UVr`bZTtSS8xjw1I&b$o
z<?5=?x#!l#>@<3Oy#M{B?AWT8OJ^D+9$Gz5lA$3yFTI{&Pu15~K65NKItuSK`=J>T
zYm#<m#+t~@YW((p3ff=a|MSfJ^6K#QJ<{fSo<)B?9)EsJI^QQdJNx&{r>CbsKgceB
z=F7{=-RF217;Jm36=F;N{e1rX{{O%CKlhdIQBI#*8V0JRrSo<uZogCH?Pve@%bV@@
z>pUlM>+MkRp00Oxie|7;^|v>ml*=uqb3(CQW>T=9<<gDuEDQ`LGe8C&5p;iY&iehC
zC7zRuo=y!<J2%I&^2tQ^Pdm@o>V?M?y8hlNsO*+<v`bXdwyNaWxw*4hxy4d$ZOPpE
z^;-1bFWL+YW!3K*_V7$r^F7sTe(wkSc~I?Te!r%;v6F!z;rb)K5#JmhCWS7f+SI@N
z>gwv^JB7znUtCytGr8Zk=)*zw=iTvtlG=?y4Rg$fy|jrT1H%`Yz0$S^);+lvoqx9Q
zxa@RJVYMfd=l@Az<B^yEY7SI>I;np9{1)QN+iAMdMW0TpKd*gX9l!7I+x-16c2<6V
zwsh@U-S79R^V|64=c!nJx!_#<<)VA~!$Ym0(s<=WMur8)KZ>o<+x2W#HmJD_Dv>-t
z&A$If?Q7NE%R5s~PfNYECG+jai7M{0r6I?9BqzUKw|m`<Jq!#NggGbZMeVDp{C21K
zyv@fW!j>NnFdHWvXn3>p`8><VJ;tEcuF6T|X831y|9Nvvv#(8&lV)J35@EdL%5VE6
zU|atEdEfW{|66&!`rhQ!)6<@Ax$Jj(`u;yp=TyB~={f1^>+9;CQBhG=w)>YZRh?~?
zd+OWU+ui3t6<6o^hLVe$&)d!3wryL@n`HUZOQ*-pQuzrg9&>MRd#WA()64Gj%=1gu
zuGRIt1TI_ip=Ik*|M_-L+1MEx<c`Qr(0g@%fBmE<Ey8{;3jUt||L1)0`s>BlW6QVB
zuY9N*xj+B)wY9Q!@(c_&WOp)Oay{I}d;0J9`}42w|MyjP-TU3|_jyiQKEH0)-?icT
zdqiJ<UmL&Q&bf`}<)yp*mc`FfE-Y}AU3Yedp|Ww>nTn;4nHfG9>0&EVk8}!uZkGR}
zuy*a*%Fna!->Iv;yQ|c*PFx9OpWW{_lS5aBl~(;bHC5ZV?#~asz1Ki~<rG#6F}7e}
zSbyT&KZc60uddFtC`@WrtIGW#wnlH3U2WB?uT}fLZCziw<KNZwb*8nyzMP!sE;m!f
z^52ig#gBW<mu=m;_3xQaPfve-(9ECq>&r{mbT)>DdB<cY=t<ev)%e+dy%JOV_3F)i
zwbgw#pHAE<yPf;<T=~Aqpt2NHZ%umA#I1MY(o%2Z)KgQ=%(JzQ-j;K+iIuzPgkt-X
zDZzf3Z^RiH7<knj;@VcP+oh%K-go9|c>LV@-`nd?pO~mzd^2_W(>I&X=h+)49qCvT
zu~F&yyy`qqiMp@$ciOEjnUNb38t2!sG91YBZ`i}Lx9aODSMk^>-FmxTsKN`?g)2dY
z>O<p^Ij}ISN>Zeup*>umpPls%4h}xnD}DXt#;w`c(_UR!3F^OrYWJDO>1mIT_43XT
zVqmE1yVon15PtR6ty%m3|K5MTfswiF*9}2;nTZFR+0+01`FV3ws<+<GCzI}!->;3_
zS(IA!eOnm=Lz(|R;ks5(_w&z3`TvEWfstq7`+tSDAAfds_VjJrw%w_IzgN<(ree~Q
z3(ov!FS^UmZRHkEyS65>S3;73LF!!ehPX!gzc1V)x8+3Y?S8XquHC+zo11)Qo2|9A
zoAhMG;=WTe43mrQmR_GKCCtE3CByj1=<SV-%FpK%`+*uId%mvCfBWSJa`6ZorSR(E
zWMHtJv^`<3Pk3Bqs$Bh_kAFV2+uwQl`1N&A6MV~-lBzX`vheb9|M_`yL3SvWJH)m5
z&Nh1*JpWgS-OrQ$X(uKqTH9W}c5Rx<%j@gommi-sd$#o)P~)(dp;A(B&xb>x;imMt
zrPsRWy#y74DYv)f&Xv2pt2Ddan1Nx#Zcx=w_2XgtXHfC+|BL_sDc7!DQ}NszcmCSi
z=*_jizuA1dk$kiGyzTA#RVXb=`yby{qZfZGUaV$hc)%aIDaCV|PUNMBx1ODyEp2i(
z+kI`^`s>oRN7f}A?GmkgZhe2|lk$fj|6k483Mx|Ke;gA3^y~V5yZT?t>u2THzK)hX
zCsXmD5!BE5EdT$bymf8w)z#tYkB)Tid_J$*DDhCstNk1d3~{3O*YB-**HCiNkzIDm
z>-GEhUH;0gzsKOb-R~T|{eM2~`PiH9Gf4(9Byqc5<UO<~e75KFIc+O*28J&xOiQ{!
zDeiHf^}5Snz4iB+Y>m==Uw!}gt@W`52U#O`m1HjSnK|j^=JfQ_({v*@BslU}KAAA5
z=#(bwa!^rvwEcp1!0M}3f2xjj2u5y9a&_yMo4d34dD_7y)|qCxQF(j6hS}GNGc??t
zWv#IOQttM<+b+LOKHhistoi+z3MmGL7dP*WcF%{?F!GXa(8${6b5`2yvLyka*4{*A
z_h-uTKRx8CUM%!WzrHSZ_R8SpX%7xGN?Mg<q@9~Hvsc>OEFp`5;YDPXc~wK~QTsoK
z?ZG{icKbgMLH(rvfA9aFTmSEQ{kaxS;iB(%%b)A!S9(uc0v!rw<CmNB^Ye313f=i+
zl6TSl+V81PPfdM!_x349h8wj%^LBKD3PPR8O-q~|Kto>a@-+p|&d;Ck+AXH)NvJ&J
zohi@2P{ovg@YSNjeAa6&-|fD**!}t1{Mu}}iU*C~vQJObJ-sFK@~y|po_$uYR`f_3
zt6h&RkKI_w$gn_NNMZdYP;YYY_j}f!oAU1N%DJ&Yak854tCGA=PfkW|PV;^Fk%3`>
zyP(4QLywMjU%qu~maw0NqUWZ%zrR#Gy}iAcZ$=E)#+A4+Fud?&IibC!?Cq^NrPm@W
zf8V}8Z>Dj&n&+)sw<f9l{q^;A$-bRCcOI4mHRm`dgg;oheBP;z$K_@pY-WFc`~JVO
ztgTU#K%?!RlX7owE3G<rZEZB9#GE+4>8p|L=QGALtxB`zRX&^f=Xw3V^l!KG_kTMc
zSMmBPcmB~|wXd(QKR-dy`O<R#`Sw4gil3c1xxlg6DrUA}vRm4j86UNlvokDMJxwQa
zlB)N#k{#PBKR;vh{d`N&A+9a=_BK#UyYk1w_RTdvKgkpvV3d`UH_M6mb~Ancny9U-
zE*FQdi<$ZH@$vGPrFwh6T=JP=uyE2$Muv*ivTy7MR)?=YccfET+T>z(Gibn~PuAL~
z_Scs?wcqc8$|yDed3!DwAD6GM$=mbs*p_YEw#7&9tErT$`Ebx@zTMs{I~W))D1%zJ
zpaxjpj)!eB<#!5i?kG%NxAWO7zW(_Yk2(qVpcyAKGdP@AblCL*G|G~-H40?Tor1%>
zbLHw49o%{(CW>l@J-JhS{_LHd#h16|-}jkqrpqm+^WxHTdj^IFTYVZzF6M5(d+q6F
zX!&=i_c8;+fpsU-M<<a6$&}icye|w44#}Y5ZcyS_eEdiAw%ps(>i+&Rt?HSca_rTY
zFP8EZ4;tP2H=Gt$VAvpC_2=X9;scDyn@eBkOWAsffARWMv$*{S^O=abv8jG>nv6^g
zyBGFKoBxZi(eX3dcJc9^miOvAHEgT>jKk8yXMApztX#^%!SLqVF}0Z&UMR*L;?6IB
zd9rxcMyuV2=G<%gn)Oq_ij=uU5A(`*JD-2*^siAm+|Gagb=>z|GG#Xse;(woyYONo
z1H*!aEFR{TKc7r426asq%m2*)H5I<RyKDWv_I-8n^SR|_RVEA!84`?_c*EAk%*<ZD
z*X;B2^XLEk{A`?kZ4GGh3)IOuZvXG2TmSak5t~vx7rR&ZLgpym2qj!sb=Y<A(o*ls
zyUX9tsr&Wv?e$+@Ur)d6XRTX)w=_H|I$GM|?z_Y08dp(u?EQXkwqf$IlmiWnvg`ck
z+3fsV2r0kvHq`z7wPnkel3n*MU7A$2cV6l1Yo-ZW3=A1IjF)(C-MR(t_FkVod-iR4
zc7}$#f$!b;KSW*GU;jVn_O`W`zpjnmzRiB0v3|?R@B9D%wfS&>`L6kc)mN@unIdal
zW>VE-zhdiF)9W$CzKf4nc<w%=SKex?Ru(xmHnG1mHtgX<ce$VY>wncvn)my^<w@E9
z-}l>ALL;u+_!slj@O5G9ufOh<d$jc#X!7ye+UV)O-|b$1_^bTC5ABuLci)=|8m2og
zSDmx`d2I1nQ_Gi2CVTaAG91v}Qt|Q8oQg-Cy>iLZpYVB@OW4=d<n90a4K&dwYuE8F
z{{Pqbl~=PQ?d$&d%`ZP=cs%9fqob0hSy#I6sWLJwC`6h%%lx9TTc_M%*TGX$wTo{g
zwu9zgEWh6=p8V%szMK7v1<jyA%O`!-?|v}vXJ%m7W44p|60e&7ygB^!KMsTDZ01$H
zTG=CK3m%b9?zf$`di}m#7aub+I2_)=e93oS^}C%hB^O;I_f!<ltNZm5R2|R%`zHPK
zy7IlNFD?ctgJj-%{uAC2I|>qK&6@S;$K!tS+PnVszb<EHWu02)JG*ONUin7wMAn;4
zQr{wEcdzM-4LdCNQjh70>XodmSF*O=eO9`=8#<)}OC6h}zIl`jD(ELZJ2Nv=WM`l~
z0|R?2Xe~f?_G$UQ7v)W>ro_&|p=V*(YS2t2D1g)ZuWmg3>PD(5V(REpEXxV+AOGLi
z{<-&k-*nK7)sGJkGxPG!y|}pe^Ud>hX4YkIUVPZ28N4jz&W^&LFa7Ihf!O`F-%iZF
z|L0lFbL;z_lRzE%cG<FsxbM5JKRv+A4;pAF|MhGCpQrl9wZFdbNSSC<zu#N_@7MbO
zR=2n1zAktMn#VjU9zW;eV)x}ccUtCG9F_(TvhRF8?{z^QXaxP;j>kpEWy_!B=2u7m
z`u={t`QDelKaZL33%t53ZVDE!ZeRI%k(gdgM1EG*D*JCYlD}5%jr;$A-9EzpVT<r9
z&^X)c@YvGOzo7Ql-mukI?f-r3FR!>aMKk!-;dcJ@{W6xD{&o7-Ec&-pzjkHa1xNO)
zzrVZ;-v8}Z_G?{T-LKvH`*zg*d^-KQdyhn*yiG;H-<#?4bL;;txBvUHYHir+erfY{
z|Ned7zrXINX!w=%b8{lsU(NbD+23yG;q19JpH6;_S{wHNgu7kP{!gd0UoW3i<OO!b
zmxcVL7Uo%3R{UyYmy5{H%v|~Z?frkbf4j8Tt?-{^vhv>Q@b$m`e!qX;miv!ABDsL3
zLqYSe%6DBG_O$%}FMkizdYSuk_5NS0e>E^NzdCRGJ?8gT&EREMX3v`S>Uvyt?(eOj
z#0ql8`@6f#{~ovhSNQvDbpGD0ajUPs0!<g(UcdK){5^L29|!r?mp+@BehsA4{_jiw
z*I%pl{+m4i&k~Tz`k&M5Z$7;9^ZEREP)Oge`~CLqb+=xrP%y9Xxa`~Obw5wXUz<I9
z_Uq^K>;Ij;b^3HFwq&=5^>ylt>+9ox+uQ$sv-#)M^>tIr_dJ&Uc{aap^49F@Wfs;6
z2O2<4mcQ4NkM*34tA0CmWAgE|OG`Z8Ucdis+jdn?(7K0`in_I7r)Q?myZP|e&Gh+m
ztM<-&U;qEN=cL(ryEL~(=@vgb^RnRGp3mpJ_r{&~HNSi1;jid>pQg#w{do9x|Gnz>
zdy5Y+vX@l7eV2ym#-OR-@rI)Rf4@IJ#I1iOcl+IG>GLX={jFLXcKX@b+17Jp4U=4!
zKj)V+(fIv-e|>v)^}C(vlb*a>KL1@w-Io^^W$XSfGvBM}>+4(j<)Zs!m45qw6|-i|
zvYK1{_jUaIz29zW_uGDpXn$?}TT`r=o&Vm;>~i&LP<e1%Z*?NvJrh@POwhZvr?U9p
z6aRlI)o-_k+x@<I{#kE+P4cYSvy0E$et(kx?^(W8EyL>Y^>NmJYvbNj?d7gl{M-H4
z=gqo*Yu<!^z7>k4$XPjw;pL*+`TK4C?f;hS`+fKQv$y&6)xW=jvdZ0Wvp@s3ZhbO0
z|GjRPud}c&dviki-iJ1olP4xBgPLtNUoJRXK4@URbw2mT2F3mVzOJ{n*}fcFnIV^K
zD<_?AC<$C2w>N10b!(A-#pi9OYp>g}C^~L^-1_I<@xOxFv!}<`Rc39CTIM%*mP+OO
z>ie^+_Rc%4w|mXuo#*TSeO`Gr%ktZe<lU*;!VjY^JSdCgtzO~<>i9owm!Ah31bTL6
zrseZF#gkOJ#r5BP%H1FSXrjB^$=~<?|MQt^Wm<l(G9A>+1+9~?{PCc9vdZIQy{AvA
z&!4lt=Bak&ub0b<pG<Ur_HOt4bD$~Bh5WS|?sAnW+s}UUx(QzC0J0DsKOrYUgQrF*
z9-#R>&<YFj*pk3~A6oUF%t-D#Y5(uB{kt!J&i!j%b2Te=-@PkWrhu9de}8>FeP?Ge
zXm<bkoZ@pQ_y0M)zr^DE*7dcz_20|ur-!Z%O9id8`1|d4@xxZ}w3CxmW2@eZ&)&Kl
zvep9C1uMh8pPViJb^ZTe>n;C&x%~Nvuz$*p4T-&S>C>_1xjT%NoUgB~^<EoxdV->}
zl<g_KvsglO_Ya;EexTmj{eR!K7lT$1eK^eTUtC<g*!`9&mVhWRFLx+=)W|M(0@NA;
z_4>l&YfBd&znO|v@qF+oM<F}Q&|eug<3H==DJ%5W_#e<?U|?YIboFyt=akR{02Gv8
Ac>n+a
literal 0
HcmV?d00001
diff --git a/Code/MonoMutliViewClassifiers/Results/poulet20160825-093757.png b/Code/MonoMutliViewClassifiers/Results/poulet20160825-093757.png
new file mode 100644
index 0000000000000000000000000000000000000000..d46343bba9edbd726c70f2589e6a5de2d6a27b1a
GIT binary patch
literal 10565
zcmeAS@N?(olHy`uVBq!ia0y~yU{+vYV2a>iV_;yIRn}C%z`(##?Bp53!NI{%!;#X#
zz`(#+;1OBOz`&mf!i+2ImuE6CC@^@sIEGZrd3(2d!qum>$3MP*=*OzLJ1a)7HO%!R
z6VG;uXr-$PDnhd~r+T<9>6-iT)Pm%o4RLB>-fg*tE8QmhxOGV>Ij(VZ-f&aGsMk!y
z(b{Ke#@+?HSC=$Dn)PNK_ndzdcRfxsT=(n4oY?cPO(%EG`y5^I%{XyW{<-&W#JY|q
z88R?17`+I5#mvCK@YK11fq~&BhX4bEf;1x&14D|k0|P@t4hshZ!-QT2Mh1pWf(i@_
z4rWX&3=AjSMv&s!oA@Wh|9ur+c-hzdXuAFHn=96=>5;RoI`Zo3YW~W%=jK``AM24c
zEO>ALB=Pg}b9ZOw!;0(wo-5xctUkY{=*#>2_HMmWqTBD+{eJkzgn?l}w8n3S%#4hV
z=)9e(W$*4tK0eml?X<Aq#Oti=?Br8ZG(Z0NeE#^Sr>7t9dcCgOU9M8)oaOU5H}==p
z@6O);^KAaHrPJf2md`DVx>NW2ZQ(J=^dncp<7KtO)|~jL$;jX^Jyb)i`)H8-qA5|)
z(T~4gkMB?Jvs9Z`^XcRalgywsQCqd1ou7aI-LBL6`)$J3$I1Txd;h<zb30#eN5`yL
zvu2p(M%BEIzTef#E$-&xQe0fjBX4JO&f;-T#fydQx9t8M;@0nJm#fl<tNZy>!XzVL
zpT7VD!>$RN>RFeRzrR;_#_;%__oc6|ukW8}oWAX-yUUTA>GNe5yY+T$&Az_P_S=o*
z{-gKyRzLo9T0j5$$MBd!*F9gaMSnb@+`q)yhJm5PI8|O@ZeV!0c=fk8ot?t!Wfgg!
zo}AoR`}^Cr`ugYd)qQ4Mc(;pFSk0wh&h}O;Hv_{{w}uj@+S*zdmypoV(u#GfR%v~E
zcUOAt+O@gYzrDF>+-LP_McMVQ@9tV_X=^WDx9;5sc?kxFT^fv+IDLJ61qCl|&%e)i
z{_E@O>+hQS`ubj6?myr8pVi-AU$b}fF)*A8TpuLA!1~4g{q-&`TefT|saUsj=gzyP
ze}8}P2Sw<F{eH#8#kWh_FI~7GFxxD*YofCIzjLn{7&Lm9En8Oc@u+z6uP-lU-&HIu
zX7NzpQ~dg>_4cH_(Y3X;At50y@9*usz0S7afrE*O$(G;psoB}te?Cp$-=pZ<w&(f#
z&6$^%%`nf8dvuwZVZyDw-|tC_#}qiO?7yhXIl)iDD8)mj_RGbMrLV8?ozK0wN%dH-
z^!0D=L1`&zqeS%fyk1G;v@N#(<o|z^FZ}S}VA=J5+a@ZzyB*2@$8KBo<wePShnZ1(
zDhk)c?A&za_=|6EX7uS^-k2&?=5u`7%aX6U^DCdt1lfN3dTvbt(~`+)=jX|;4qxAQ
z>(;F@d-jy;>tYMvZoR%Ow)|RTx~r?J>z&HybKf#OIcNR8N4d{J>74ENJKz7<-rM;$
z>&uIahIM~_9R4zMO21<>+f748>t)HOOLAtm$zI-=YIQf&d;9773MLh$cRL>URXpxB
zU$kwTnUYf7hi3UBr}g*C2nvSB*Ov0gSQt#xi<NqPZEg3;;N`~_xpptwxY2Oc>eb0_
zZfx9`aIk4x{Ob7qb%m#Ow;!1r9w%A+>`dp&%gc|Sulu(7$Gh_V(%bJ<W&ip2{(qgO
zoht*w3n3N{myq!A<L~b7R#sXRpmC&`-%f(x?ni>lpJ(bb_+=~%+IXeKW}D~tWv|<*
zHccl|sP@;F&Y8yPZl$HAw}0E;E4-OH-F3cQ?IZbr59N~%xA7X*{P?ir?Y7&GR;^xl
z>fcUA28VDZ2c<`?;&CsolrDDf@9UK|FMD;%TW_a|-p(hJ`ipcJ7=GONSnTlQ#w_dd
zyp{bQHYOY|$(h-wdwD~$)i$5w)8y-0lQu@^d{z9>n|piP(H2hOM<><izY)vd$Hbsv
zzAx_gi#<%EW%W?6j6N~ie7{p%`0wZQ;~yR#e%ztl*Ku*N`*GdvcZ7U>ec!ITy|Xy|
z%nU<iHa;1NsZ*yK*8lsHk&&TsaU~<eg4ZuXUon@6uix{@%V(B}CL6z;On7W*Xh=xN
z5n+EDLG!yM!8y0L>B`l7IM~s#V(r>q&ERE69vo~={`u+Y#Tz#yw8PeP$Xb^jnWh`P
zC|rLsGef|>8q+(Tpqy@gzs7i8#iLG(mrEuqDJ4BT)LQu9K;w?*^Qx2X@2fS;xUe8%
zTTY~jsp-*Re_K&V4dOXj?dX=w%Sl&Pg>Ec(cqph&ih&^@DDU8_CC82(>*%m}HY53#
zZQYxV$KCqnY!~^@w-XfHSoinW49nuQ=o%N7Ikn$z8fINt5wW{0cONq|gM+w=gH`6M
zD=Pza#2!ED*6&+Bzs@SI^6Ata|Ns4dyl(fqF4t}`*Z=?iE?&1z@7tT3!ouo)Z$5mS
ztnT0U_V)Ja51ueETqxbax_a_5|M_y;?-Y68sd~NkW3&7p1tle}R;QTyzh6I2U0<WB
zr1a|bYh|THt5&T#d^|if6jVhm-n!Ma>ifI7?;kKQTxjK(z@PBs#Kgj9Gt-a7|2Z1(
z;_B*Z^XY{0#+;j*EWX`H23Kgm^CD`0e|!63<KJIjyE{6TEmLD;VsN-Aq%il(-uJco
z|9-9iZ#A#_-Og>{7W+Q5>K|!jW`A@#{$J6Vxz^^tzQ30j6x7w#m9^WqbEl=!qPJ2E
z3>xlCOD4bD^ZA^FeO*oa?bT^#XNms*bN;`~?d|#bzu!f?zti<K@9WpEfq{V+SBBe*
z>Bq@5v+-tqzj0@0aq_!6JLMl5GcY`8j@X>$yC!n;vb)K@zrEGIm}zIn;-S9x+pTPn
zzK0*LUAv|s*1fU*|38#k<vOfZS$RME>8YupGQ7Vgje)^#kMm#F58HBYCmm|xRJFQz
zy!n08RZmbA|MvFw<HhG~ufO~FzV7?(i<{HWOBkp5xVW5|XKO82_v7J;wQF;CFI%=u
zt?cbB(c))kPFAHcFucgx!*t2>dTe>@pBL`-UG_gG+jnZO-(#eut(|<hjdx?_<z+j*
zT=IT=Be}n~qhqP}^kch9Unjk~vT|d_#YGu8IX$mly^^pl%h8G0uwcu476yhXGr}FL
zGC}RAACLQwAL$f+462llc8ee9*54xlss(BuOW)7fop)nH;>OC)&n*7^c$|E4l4@XV
ztgLbRxgK}<+AHPznHUzlsbqb^Jj0?e$>z_8!|$u_zPPwJ`SGz{Nk0|_hP&P2qwVA2
z)LZ!3ur2qt*ygmeU8hc+vUt>?{AkN%zwX=l`}f{8wJv|xBWav=<Uk|y;!T^3o}HgB
z&&$iJYGug4P$Ik6tG40YlZ)>1y^)*Kj{f-g`0+96{2oSTwj-dNdPIBuo=auExw*MM
zGmTV1#q;Uu`u)d_9gEnQ<of2uM&)feH-+|A&6Hti`1Ex3L%*z?oStsIT^e@(f1W@7
zegFTz-}mI*+?0Cp$`uiR+pi%!vQ{QaN@~8dL@qD$?G9ZXcJxpycd@J_1H&$v?Fprq
zYQNtFx13W?PjhuSvcCTBYYnk(*>%zT>uS%;vD~a{r=)bw?)MuB)2xs+vAfM~S28jz
z&=yjd8xkBW>@HWCvggmI(}kBj)sHqXGCw+@+}{K0B}7F<DJd<&R>D5FGh<*V(PUaO
zd0y?en;E&ez4pI1+joPST%clo$CF9kk3gk#xBfm0TxIO*ogg=Sl$+pJ^?L30MJrco
z>g|5BDPm_)s*6j_L+<#FY15|txVC+tX#CGp;UH-xrC;CP-hTM__t)3rf`Xtn`|k4h
zHSFvR4SGkk73N;qU;n?O!{Yy+&$n&=O|Sns9aML8s?W>V{cLXZrh98a?f3P}3=B_C
zXe-P$NjWj$$NK-j*8e!7Zg=tBM^INuNhz-W@7Hb7>+kIpeSP=U>(`4HEm{=3zD_4@
zj|CgA)RlJ|cNRZCc4ud?{hN=B3_lvKt%(%QzP2Xw`;C3Izr9Lk_46}c@)TC{>5%{b
z<9J|nw6yx10;k)LOG`@yKh74AL~gjt?@v8FO~O1cW_jKEsoLSketdj<Sw@DTf&Xbh
zJ>#C-+uLRsBsz8aefju6Y>nS6<8(if?xR1>mG8U!?qh!a@7ou5m%q38e8yN=De2pr
zn;$<M=6BD{&An}EYHGSM`}(>W#_4|7jF}l6!XJxH@RKsni;1cEc(m~Q-E#Nr?Cd#}
z&t`rEb;p?bZ3Mih>-8r0+nOmU;csJKsuN;h2uNaj!u;cz`F=@dx1NsO@Ap~%dm8^w
z)vZTDaQoe|=$O*0p}E(2q|J29^6$x9k16)miQJ^}>&r`FQ0e;WRo4B#Tnr7H)E(>^
z=Gj&s<2An{V1B3I@cTV^UtV0?Sorvu&vGV)hIfanM+?|tRlssg(~TCht@_eon0&0H
zBJcURxrWKddL%3g5<<elj{W)hdGW%93t5)4Ff^=N9KMqOLhRLR*N)x)|M&j!21aJS
zpLeEc1}A-ZaBySI&rhIgUsOBnNS~~A(&=fs7gtZe$;hDLzfb7jgmrtr-THB5xt-|m
z@9+EL|9zVNc3w2WW~z)N1B2H&-3a+ZprR{ce_idJvfH`sHFbY~eKjn8c4pg;jt-08
zZ#E}iSrNFg?Cq_X<17pfdhQK14($ALJ*(I6v(nr9<&wqIDZy4Y@z@40WWX9u>PE<4
zm|K2Na(DUrzWINisJGYb+qch7Nom!pRaQ3Pp`oJH-{19KyLRox-QC|4ZPghVN?hX@
ze=>juG(au+I~9+60|NsKPh`)UHA_ipQU3jXvh!YFUmw3an}K1$9gYe74}QH~-+$`V
zsU4qAY2W`m>)+qs?k+Cg-rnucXU(2{I~G*z9n+1N`{hpY`J>zS|9$)8*7bd2Teof%
z6b#f6TfB3pC1}iO>GZfR<$jw@Z?CN`&pTSR{nxKwD^{$ixPN;+Mgz0cPMU$?-uYRk
z*-2+-nZA{~y*)p^)9>@gK<F5h^^HB1#dAupMGAhL{ozM$tCOObZj{LXAN~I&=KnaN
z{>cCT7yrlA_kYLj&i1o<xkSRQrsB`*{r_Go*7qZIczZrRKEC|F3IoFrkD9&TE>^NG
zne1o#^-9HugY4Eeb$`EJKOUXGS2X_ruj`Nd|Gnr}0vCrHtG>PhH8_8V?SYnuJHFk@
z-aJp5fnk>r<0Vf}Pb&M`8ovJZF*}X8TAgbCeV(6Ro%8b2(v5j{cg?UW&C-e5q9G+M
zy?ECyt7Cn#(%fP?Cn~ZS7+yr};k0dZT6p2z{dVXG!Q*~=JJ1Nh)vH%Q$))1UMfcj@
zu?!5SW`#T0Ejlh&{boXcznra=S>Bx)KTQ}IE^Mu29ckmJ!+KPCg5RxOrP(o+Pp1~X
zTDkmK10!?Nkq*I+NA>FrK`kS`>+kODG)_A+Ly(!BujkaMQ#0)A>r6~craZU;N(^7L
zzB2CWUSIch^+!;brSkb)@#JGYo#FAdrvF~f|EGDZUtWIykE8mJo=o=d>*%<3>(&gT
zR4*Pm8;fcB@p8Sry&IE`cHP*R?4EOTlWNshBTEK`r>DaY&n<bo_4=_{rrEbxkIb<w
z1~+J*o}PaE)z#I?N=bxTmEJ{l3=A*0?lfKXTt2_9sy$r4&;H*JP#O1VX8OF$>Kq(p
zW6pC{hK6+>4K*(7_kN3#DZLUXD2P0uyCV-epnK;yGed)(YeNmo_j}d(SFT+<_Vf9C
zc|pOiU%v_p28M=SeRylts#Q03m*;QUwk^$8nSr51mFbD|t)0c`pn(2(y#CK|&{#-E
zM@CjwS4YRb+TUe6_Qmh7d%KR2p`l2{!LH?cT(vG}BvQhrqM+vg@B95u3k3uPL4&s)
zpk^hX{N+1$?z{tcwD)meWB>AOcK)#*N#jRn&F}Zr|K48To!oD`?d{I;yuDS=!`76q
zUcbJ-tE&rCI{*GB*DbE!=h)1)wL0hBot=i|@9y+hR537EWuKj8x-sqStg`;Mx3{l%
zS^o2ffP%b(x3~A1IhMwt-v5e~D?5e#Z8qNh?A*rFxwzlXYFpmjTMv`B=iC%}e608N
zmG_&Ao}L2r_$L`NGkka`^Gd&Ad+u#9VKpC(i=B3IpcnyFJC?=Ij_B8Y?2g!;7wa?6
z=I4a#XOa5Z)oYOY*`+ZI3@;{u``IzYzBxBGD1t^3czJmX@7I3cTK%tyTd#vq-<n08
zouOf!b3@6c%l`JVtxk$&IX48P&2nCR_+!mzlyhSPsHl%AK5M!$<>aInmzVp4{JU!P
zYU{86_!$^}SO_c3{c<C@zx3BF(BRgwUTOZvnG6gIsz1q%&N&T|NwvLRwG0dkOv>Kh
zljY^*U21picUER*=f2wC(|$?ppKQGB^40S{&lsPd@{8l{JO;)Fqb=3n-&uS-a`EDw
zKd*!2mkL+89cc`be^hIcY<2hPoSFzG7KT#+&d!JbA3wfV&~Vq4<3DBVBm~V}uG=j)
zUUpgb+|P58KR2*&FihEcQP6PTmG&R9_jcZ0sy+X*<mH!q&r7(kxj*%NLDHmS`^nq+
z`(;7RzT_7d7JjVW|Gm2K*URO{`|JNa4wC0)VDR#4kWmwlEeQlQ@CqNciXXea|KHaa
zS67GEyeppHeO$hN&lPuOhK5Ok3hf7{=|(^L_xpW6sL=fM^mOvWL#=_q!NQ<kkACe-
z@1=HeH$g*dNCWqbyYv~0B-TW4*Q@&aN_2W$Rp#yF+TY)LL1X^&Djs#NSi4sD;mcF)
z`T>`qL;MVPr!!dc%&U5}Qo=MVgh#?)!QID`)&29T<ro-FO=Pg-0d+t@<C2d<LqkE0
zv~}y&v4A>AmxLAC9fN~|zr4M@{qSSZgcVo|Xu|5j;}!M)|6ROv>C(fG&z?Qo_MHFe
zT!Wtv`RgUl+k8Ir(E5S<mBsG;78M^7R`!3~mzACUc;D}L+FuRpmcQGOT7JXu(6p5$
z?Xt=_GY@g=@A>fm|ChrZFLwQ(FZ}WI|NrmT)%d0REVrKX**yJ=_$m3gg%LVp-nAY5
zvy0DJs=s>mD(QHi>|442C;jV$=KnmC4w@J#e7Ey?*^eE+-|g0ac6Rpk*E1LxYCJ%N
zeoVnZ)}?lC+n<O|IGk{2N8!iI^Z%LLt9re*EZ^n-_xk_eHAJ`!^X}|$uDkQ)<>kls
zs^9lcRCeF@e6<P#!xX>Z;NU$!9(5bm{`wLmzx4Jet`mtHQcq8_`1|EDsLi%+=d)QI
zKhFBQ*?+wf{P@M<{=WJD|2%*HS(}03!12l94t&igC#xR^Rkq&KbUHy*1*n3H*qRl(
z=gTE;P&aw{uL=f+0HZiYOP_mnzu)e7*e3l5<c90<^|r@)B!%n0m)DDfJn2<y!oZ**
z37$89{2XaMBHu}WVfwsEwRih|zpME7^Er4v_WnNUbpaYKzP`Sle%D{vw+b*YaNGv1
z1*pAYC>y;j`LqdqGEOI+X^G3bozLg}SiS$(>KAu+m(Qtq)M;4p;Q`<Eit2N}H$&!$
zGT|B{?(N~+>(XcaZpVrhD>{0m&5s4T%Z9#sToMhQ*t=oG3!i*DJ^OpZ6pz^0SkS1z
zzYDc4SX3}*PBctD<`NqlyR!e{+nX59%eT$n_w(6o@7j){l20eqk55wdeiS_aR|t>1
z-JUDQUv7hY1T?D%vV5BPdq&NPppml8=k26-m%Z(p>~ClJ?*acmg{p6FZoZr4v`~QG
z_Devg-wj*1r(jc)I{8dXT-^F(BwL*xmd6Eah&=lFeE#{8Mek1by}V&08@((MK7Cdx
ztN<!F?zQkSFr++Y7o2wE+1c5TC%VgZPLHe7R8j&BRy?0qod+5PQMHTwo&?tko_Nc=
zvC&6Vvvb<CX^-ar|2bd0`pb(z9TBdh2b<Z&+4<#SKx{eNDv|W_^I~g$zuoR#dq(d(
zHb<y#DtUP+X<>jyT>0J7qv7$jTi<@X9#_5g$5Q>;l@S^uU7%)0^daFge(a$?QQ2Kg
zTqokgyz}uT7hR7ED!V<g4lqx}aP6K-;i}Fn*RLN}xBq$ad(FSe^Z%sm`SohGr2iFL
zEYZfa#050FY5(`7|NYND&(1bKz9I4OC)pLVH(@5Is(Uq`&zevFCGa%k{=VA6<Fe&0
zwY9Z#3J!6C(qTu(jjh??cM1;k7M{2Le&o^7?#Gws|10VAzqJ+9-r}YE*w@6oy}y5d
z#YI=~t+m_R<MvjGR)2kU_1j$qF`bA2n}P=pEBkLg#nhT#Csft>_j&!lbnvuG_4juj
zKhA#N|L@LoJ5Xa;^W(`~;_##mnpfWDbGYxRCpa(u@O+`VE%|ug4^R=Pzwbwqi_4#f
z^8XUg%rI2;vwpkflH8iv8!<e-%&VF`;%8P~o?cwZMc3T#R^Q&-+<aqm`uT0uiu!v#
z97^)`_Qv5>rX?<7x=|sZRHD6Z$D$p@&(9@gXJ;4w|M&OkT<dZ%{r!JFff9vY)Rq-j
zj=%YYC7Un?DNUU^_2|#f&-Xw7{Q22g?Xa-0G@HQhDVS0J)3HVM(yd!k%jehqs<x{K
ztqA$|_qXx971dZ`lf|RcXTF`SS?;Yb^UnW&;cnjrDz_hZ?o!7Ly|ddNo=tgwZ|~cG
zf9wB$uTMTV$FlHF;qjxQ;W2{8<?Cx)Tx@>7*$he%M?h06-|yGggNmo67J1V#Qs~5T
zVTGArUR+e>YIWLu{NBued*$9=T--igzP=m03;+~e&`j)p@9cTTlTVIG=fC;D-ot+m
zJzpume<liUGv+(7Gcar_<PPKf`zm~Y7rR`A!o2!_KP&!zz5aN6e2<n0*T=2vYuCCg
ze{F{u!us12rh54L`pzl8SNZXnbpD>_rmaqjd@>djK8D=wM|aclPtU~G2<?2-rTqvr
zKkGZ&?5K499zk|~xi=r=>tEcPk6pvfz18J4UsuQXW?o)4^_RxoSy+^bP7snbPV;$l
zd;5Bfg&5!>bNf8=`!%1>F12&9w0hVg{3!q5v;0SAjL(DCiA?!rad#RPLw#SUZYg_v
zYsZ5o?j+CxjG7-GUfkTAzWX_MtCP)_3(l%mvELD;C9KS=spR+QwE1v=*)ad!9*cqp
z4tqYG(!O}(#*K$k_J&{nV#$?pjG7aL{VWuJeSIy?Z}Y*SN6K^+j)FhmNq^$5UAuO?
z*>w8P!rvX3F=Eabq%>L0x9jfi^69@M?#{#Ft=$PzPk>fIfQGpgo!gFRE}s*GyK*}*
z!!SAN{k^?`@$vG^Y&;!_hudU7?Y6i1`{lB#RpNKF#TJ=2HtzYU7oi#y7$`V(>eRwR
zoa$3>MHy=H>)g6++cD5WFi`pU;lV+^^Yy<j&(}M+a+f@2rt)l<a^he!d-BOisvmpv
zYn1E$zK-Ajyp)|!=0wG+cgN8advawlcUUKA-Wt@&2d&6i6Svo@>u8cr{63p^yI!vY
zO|kaKTAP{W-U@k@Tvmx$kHk!zWbtmt<F5EWkHou=CT+ZN;X(kYXqq)^7HD<Jwk=yk
zj`z#Q$81XR)a<{Zi>2BH#d3IDrRq7W*K0aDUfkZE@8V)&Ztm{lGT*K?>E517P}x7_
hP0ig_%sBg2zgA~!l1H@PHwFd<22WQ%mvv4FO#qJ#<cI(O
literal 0
HcmV?d00001
diff --git a/Code/MonoMutliViewClassifiers/Results/poulet20160825-093830.png b/Code/MonoMutliViewClassifiers/Results/poulet20160825-093830.png
new file mode 100644
index 0000000000000000000000000000000000000000..e9c3092ae44af8f9837b3e64d2ceaac9af645ced
GIT binary patch
literal 11661
zcmeAS@N?(olHy`uVBq!ia0y~yU{+vYV2a>iV_;yIRn}C%z`(##?Bp53!NI{%!;#X#
zz`(#+;1OBOz`&mf!i+2ImuE6CC@^@sIEGZrd3(2h%CyqC|36;u{S$J9!7$J#wsVO{
zq=U)nC1+GrbFWWL3jLyyHtT7iceuB2@1i9pr_Wppz39~Yp*+Xl<Kvqw!G+V*J!0zl
z7q@9F;<Y&R_wV8LbJPl?>tp6ur&ZXTd${J#^-|;amHNw#{nx$T_daTG+<JBfh6N3I
zy>bi;3^xim1Q-|=NH8)nFo-BSFfcSEv2ZXj1oSX4GB9)rDljlO7&5UiFle|nFfcG2
z9Z8BeA7nq#t-o)^=JR&e@_%2r8z&rSD0zKN_wsW8`1d=z#dJ^YD15x><+9mn2O1b>
znq&q|(~I48uULQopHF*!-+k{l->%lE<i&-W@4N4>{dAjwp}{Y)nSa7k@9EF>d_H%2
zk!!b6(vglUSzEu(yME=$l)c|>Y4h8D30USgcb0z5L++h#x843UvA;$|fB&DN*~R*M
zzg&_jK4W+@b$aZlyYK7FtKaQRxBI^H{L??5&+C8GWn^$@4_$rz^;b9kiymv&uC4rb
zGkx>ZY0=NV@Bd$0b~|@_Oy$$5AV<#r+-LvqhtGUF+xmZ>=Wjl1c3Z{s*_oM>Yro$$
zxBqdF->CA_6P1&vrfP3~yX|(`dE4)2e9iA}`S!D2zOEu~*UM!#|9(8aS@Zeq>Dp!n
zh6{~3AHp4~zPy;IyZz25`FZBq*VgpN+t=mRsGPL>{buq)=k{m6Uayb;edF!+`}0yy
zPkZ{~aew~jKj&+n8CO1R6)(D-yM1rzVP*yg_00#_J*ssgH>vpB|1ELrm)m=8qha!~
zC-bV`MgIOB{=fRlioo1+(xzD<yGmbQdltjMaN`2UgtCmhJikdiQYIO5lbhLiPi;y)
zed*S%UEl8Xn%&Zf&e`ZX`!mRKjLd8)Cnu?1<>z5wke$Mi**<OBG!@VFaeJ>>UfW&%
z-t767EnAkPpP%>oZ*kT4cYD9tFfiN@D9!)EFxPRuUF{^5)nRL+p5Hh%Rr~gw%gg=e
z@A-1c`}N=AuyrvzzwP-NxvM0z?%(J6>A&A@|8IYunPGupR8-Wb6UzN5`~QB6e%>d3
z%e`UC;nmyY_Eu?MyPuVp=lB2L-^+{L`?o${7q{2Sd%9lk=jofaZZ$n`^Vw(Hy{gyO
z|5(}o|9QUnMq>NkqnDW(K7{RlHY>a6#lm*8svbYjhAoG$Md#0LWM)tM_vhzpnc3#~
zac(^l8^3*5cI)xj8+ZQC&(FqrcXn*;|NpLh|LIw#*|+BW{=V&g-EWoke_G|ta&AO_
z=e=;uQ+@6fZoM4~E+&^mev7uXUN`M;*!jNIsr#=+?I=j(vwpK-tNr$mzc?q9S^ap>
zY+U>6i;1b})}JyH*ySn|md`0Vb?dX;mxcUG>;M1T`DBv!EtV6i(_<$2n%z`kmnk@q
zUDq3)zgx;IC&H~yCh}tWp=Y!6^Y)8wy8r5C;np|XtIA?@f9oE8`ze18gJ;plqvFqZ
zKA-0u92`99$+Ow{=N|Xl&r|t%=egZ<U-P>r>2nI*($3A9xiR_pvm?U(XSzhSjdE{o
zd9&;FI?GQdl&}Ab+*|$qT;=n*(}n#k6ou7%PSpK=JKg&I9%K7|ANxOFU0-LKUw!+w
z)JI(=28VV9he<xO&2;;1zeP-161Mtjn{?g@Uh_K>o=o*OxL<PF*SO-tgEMoj&DH1E
z6#3cz{qp6_P2<PM`_FI5ynJonzsI4+Wy@o#zP*{5U-x<T&ZpC&H@)3<``ICG{WIzI
zzi&ReFU`PEqQazd@-V;sopqnvc%`S^+?>As^_|82c2@54wO?jSax*aOl9|tZh%Nom
zk<MPZh2EQy17+#r)mLACty<jvK$Kfd=fsM@#h-rP|9`LhI0J)~g8llvmFq@aK|K7b
zr9FK7c0UsAexCGCyPdoJtlI3HNr{Ksp6>a4&fDADd-i8B-KZ&rkB_BZ_BB7-z{qTr
zd1;AG?5-`2!ORQ}$1m=^$Xp`kZ}ZUwRIYz{eO-V4-#6)(_t*cwQ~Uj{<?lC}Hzyoy
zx>InN*K^XcWy{`dy&m`S`uccK#UiR5_T<m!^XLD5zdyh7^RuPZ<=X5F35TC9e^@rl
zuC{7k{lA|eGj3)spF2rqvbz7dS65dTf4v%>{`1pQP@!*}dTPp+EnA-4tA2mh>~_v%
zm7BTS?{0d(@AtD)+Uw6eIXPMSXD$PSgY!<-)pNtvL`+n<S#(<Ww#~k)VbM#Yx97dQ
zxjB7O%C$9-lJ<3fZvF6>RQv6wx^p|<*{|2*<MR?27+y56cv$z!TAO{XvUQg&4SBcw
z{XUzIM}&92+x7a>-}m+Q>hmg+etmg4S=D>mlb6fqpL=m}@%74oGYpf9&f9)BNho4q
zcwup;>8juFx7*{-S-;;?^L2In*|X;N=cuf_n)UOM`2HEi=WWeBFWtE_M@7;k<AT+B
zd6SHQX}ZzVu3fwK<;BItcOHOhHI50_6Mw(me*Rwd`?>YMx7U0B|M$1}cJB7nQ&Ti=
zX02XZ^ylO8^|j_};`Uap{e0)%-fDHvsHiAV!%13)@si*5xawTHuPgnZ9%Pq~scwDz
zSpI)S*!sA+m;J1Dh1LCh5S7YL?eKLzleRu*U^vj`(Xiz*s0f{??7ptJ`f4M)+>F)h
zc4>XTQ+)nb`SGf+VQcnZy>n;IzrVk?zkYQbRD7Q`zrW{fvaq_}nIoOT_m7k_FdTSo
zn0&0~%nZZDXOmA)*U!IT65Gy@xqSJ&Dy_f2zsEoSc<tJ?E3d!q`Sa=Y&8pXHjSC(e
zI5XeAe(vXIXJ=0rRCe3)Iy<)DAgiQh(UaNpBpDja^J@Py>`6G-)FWlO%2BwK_a5u&
zxov#1v#Q_iR0pNu*~jbuJeE&i+-r8~!^6XqRoLZg3i9@Ty=G!+y4E)R+#Jiw2aW7T
ziHBMi88b6DxIgCdu&#Z`9e<+!@Adkpf8W>F`&m3};gK*<*nX$T8&r)xpOM^mGAufG
zs*2^~9%G~8XJ>k3t<6C34oXm&mzSkpk1ant(OvH5jeI5s2B|Zm6UuI7uismAJ+?gc
z%ZrPkx~S-qr~1=}?egcs_y4+D^S=6iboIRl2b+z{-`(MnG*VeUzpiST@9b$GA0K}%
zzW+yS`F<vbgy!d5Cte#=eR*-G>h;?HANC|3ZcF|4<|eBe6GOwfqoSjY<l)o{h+EFe
zE%xL9Gyj<eM&?Z?)n=zmk1ab{zW?`Kv*$WdTQnXY>pi_}cHS&d!|~D*Pf!!DS&faM
zp>J{ZV)hq4bsxLq!MaaOR4%?2nZ7jt{=T30|Np%YDyy>3XJ%!cimQG*weIh))K^zl
zMs7@UJ!k*_&z<`Je`lKK$L%WLUc|s)7E>pcw;WU;cPRIrIBxfC<DVz$_LXNpFY}o>
zY1*`DcdFm-y_q&UcaqBPx7(t>-7UWlZo%7B7OkAf$gtpWA$OSd-xu!or!M>3&(#cG
zrsDbU*Y*9&;?}P(zPBcFvr*ljA6q|8RQdg8vp*=mzFxn7-;F&C3>O4BCzQ=HPWLmr
zowFI-md{*1_tN(K`#IZgrdj^`@pyCA)m17dC#iaW`f}Mn{mYAsuWjnj%rM;fd|tIz
zKQ9A=Y!^f3@}u42%eQVdWtS}pu={nfKkeF@NXuU@7Jmj6(V%jB(vqD!Ej^7gE-WaW
zXP<Flfll-`owaM%x;_Vm;gM{ITQ6J1<2<~*z5A@+?T9Hj$m%(%zy8nT$gNqSbsw7L
zpWG=v@9XXDJ!wh!`ncCN`^(?o^8|$nqJZAPbjh#w*B8%8HJ>KW&-wgg|Nr0nm&dJt
z{%-gCxaxDOx2ODFJ5@V;+s|SKh6Lv)TprfBd%s@$d3pZ7Dckq|eVZ$Hzv#5?WR>%F
zzu(-7ULUtt^mV?ex%u+?|Nq|Z`c-(zQ$6+bS@ZnQH;!})8y7x0Vs2%}z_9*ukEF3t
z^06MXe%<(edmJy9$TBUN>((nZHU96ba8R6E-~V}TYrlTvCY6)gikrS(i%x%VpmC;s
z{XeVo^C4~Yi|f{x9%L0yd2(W6{@Di%40{w`|7L%{$}N_1Wkn$GtQFY>++o(fGYk~J
zR@qLEudAGWy#B{w`DO0?ayP5r?<J~q?UgW80!6{P9gn)UY}=Ohe((2lpw8F)e_xh^
zO4LnP!=hC^&sjX~IWx!7IQe+r*-rI&Geot+Qf_U@yjglZw)n|Jce8J^85kPagca5w
zUOGK)*4u5j^}=HcUGw&QJeITlZrRQchqyoAJYQG#*0PzM|J<FO#l@dasz3j7+28;C
zJX_<sKR<kCo1NVq&&aUhAjk|i>D(#C=WUGB=T$!YUwLms;$freZ*QD}85ta&KQtZ5
zV+_NvY0DYB%*S(k-d&@bA0JBlbg`GF%*$9{rRkbkvu1tTy1rJo_V>5g_ZvauAb)>-
zJ$+?m@aCkWU32RH{oMKg-*4mmdwWXW=e=cM$eHm+<qzB3qEnic@2l_6o*rLk3F<h{
zP6pZQ?d|<;@ArE-o6nkgPP$umTle?7-TCYGd^+Vb&t|8fGBbn2;hn6nd3St1XKkE)
zZB0zY!`9cfcGyQP^i9<m7)mUdo|HyyPV)tiwSd|t)%QNnEA0d2a*UA*O+%0lkGz9b
zbM<yUnPl_rM)J?E>+AR4dwllnS<gw1&1`Fnb1p1!jNFzJ85JE38Uyfp4ho19q7$ws
z-rST5YP^Fhl=}bwUfV8Tx>VKk((3T_rF~!D-Q9iGl7V5vLP3S~hsF2*I0|Yrsn01m
zlsykLB%yM0Rp{z#mfMP+o-zYBCXeYxy#4Z^ng3b4{h!2rf8XXWU%67#Gid$w%|%a7
zZP~W%*+qBxvuU$)w|%>|Iz0dAujsR9&%V6B|G)j7zps`|_B-`#cK*F*8#{&7(;gk^
z%)eO9%y7USRQRDZE#23~t-mg9>ymCz{_alA3uk$+PhJ&&_C~FpChTuxc>mY6?VrAF
z-)}4b=K*{1+pX8PS*9<aTXt&O?Y!CX|2|EB{Z|U9hij+o-dFQ_KPLmjJrPJZcgy8-
z*6-&?=j}+Gdwl<oqx#QU#p6!6ipNf=|Fyi{Ym!XOhl4ZiYO7|=nssfT==(XA#h(r^
z^FNsq?5AmE4(^06najo_F@c%ireN-I{T&aQu4HYkd6O(3{riSw`kaX~jnmWK+}LRO
z@rW=ep@GH(cE8(|-DmUZL=(85^~m)_eq+?yYtOzz3pwMI6BFjt{dzgmEH~;{zx@38
zKaa%k)rm7S@Xpd!$iMV<`~7|Qj<@rId;H?_*cceB%)&=UREN`$apv-$pPxT(5%xO)
zN}Bs>f2Zw!yX~~P-N#OyxIGnfi^Z|`+Zn;>=@Pi#9{>N>_2TQX<xeL#^PT+g@bKp+
zll`Ar-~Z|7)+aOb{=aYAE5Gl)KUW3Ro*=Rf8SH1NYMgc^Ls$Sb^rg4^&7_sV%hP^+
zdFeSxGkDpOrAt-6->c5wb~A0Z%E`RlZ>QCMziS>ISDC8jKkv?jpNtF(ltHbIw;PYk
zy^h%{VU*%=@AJIxDGv{|X3Nhu%?>-(FTdZ+Zc@tp+HWT>EOajZ`}Ml`Y;gt#D<#HH
zYPMgm1m8^R)}5r{Jx%8%s404JvHSYsd(a;F6ghqd1}hQ9Piis6XH7wVQn&wkQpK~l
zxOh^^g$0hU=U5}P4%0zJp-aOa$8Is*Q=IB^CVb!fz7{lQJqhFqNJ)6^{oUQ=v%$?e
z6^DBbppGrOOo79%udk=i|MNtB<<%_DNp`irR6N7hMr}O@8l%1WOa?TZTPeQg`pcis
z=bztE`1sSG&*z_mnv9#ThDEQn{q|~Y`1*TYU$@ViJsUKP^5w<F$MSW(ll`nTXXo#$
zoPAu)Z_bQPVfB3{UotXetd}%SOF7mfnJX8)ucoqj*-I;y6R$U9U0u~9Z*K?c5`#w5
z%lE#H&F#zI`}LZnMM1)|^YizgD}D~^V!sBpctKt4Xd`0=hWs<X{xMb@Y+{u(%?fE&
zdnE-LzsSC}=41<}@Tc4N|Ct%5pF1<dF!@^by@TxXbE5P2n)>?sX3NhuPWO|mc+luG
z!(ic+9SjT?6n8RR@&k=p=IwksO{U^OBdFU__hqsCR?E5<3)|HQHu@mLCoCS;cgyeB
zuDqHB8r>{9t-F0q@t>;<k~S3u&(6)AJ=x#R64ZgN`u1k#$H&LhZ*9qZTlJTnfuSUo
zY02EY{eQoe&9~0EvEj@-+uesU85kB6f07#QJP(r2^Id6Mh6`Ik?GjMhSbY4&rLeV8
zQ{(nlnO61aovvG*e*EgD`&qg%J2qTYE~#Q-sW=T%TX}tVTk6wO`^~DR=;bX|SuJhr
zBA&MY>gLB;H}z#_GcevW@}92u_y5O2-${wRa?87aMNTqKJ|4OeHmtq=-3)WD1_n`y
zX(=g-+g~h-+xsQ|_|*+C>AZtgoA+?YGLSIGxI{^R@0TDy>$h7#Exnr+k9#*Cm#cmf
zzW-O~;^RyV4Q)aSqLz<3l#3p=ia+~snEyPe+3@b}?)3kEzn_mSzkBt?MFxfii7Xzh
zpmDF)>vrn}FZVlpWo58&<)<fSW*V#C&fOmCXZ!VvTmSZhvkjBo7P~Vr+(_V@zy<0w
z-Q8V&-tf50=5HJ0_EtT8vAF---SYc$mn~by=GV@^$dDn!7}Qw(ey_Q6JD>0UeYLl3
z?9$H6*m|6iA;DS2LF>YuJ99uS!OuSyI5vYCWGN>nvH7qvF!ZWBXkEB;X%cu)vEu!`
zz1QW~85(#4zq|2Y5dHe{vO0Jg>f==H@O8HP?AEuPJYV;1vrf#84Z9f43w(Wje_rgb
zyYj+t*OGSmx*z}lUq3(ThjmQv|DXT=U+-I;2#K%!uW>gw)(6x*X7ONU<CWTS@AjHm
zvu96MiO%2qwQBzN6UzN6p66^npE;HGShQWXEMl?yi${NC*Ugg+hoz2Hwx3QYSKj}9
z@A?ZvD^<pzMnPq_Cw<oMPH^k*x$vy@#r~gX^Mh7j1<h@KwaefC_uFaH>oJqxZomJ}
zbp0d-h6@(Dy1JE5Cc1CBU-#RzYKq_Lu=Uqp_sT6=4H_Exb|bkT)DQ!eVw1w{Bx|3~
zEkAdlk@>Uz|IhaSANVscG^{%*I)ST4(parsrpN;{KV$RtO0c9+iU+8bZ}aQL;+>DW
zw54q27#K`?v=u}vUoM?q^lWDOvsu~ePHsMLH~Zn?_UGF1KfUb!Jmfd8GGSoIfXsbA
zE=Fpqi7zz2aHy5L_^4?3lZEYar$8F_@0VT|wmS9P982C=>ppM3ZzNa!W+RV`#fSfY
z8qV(j^Hjg`xb?ljicRYdLi5q9n}&0HwH0`aKm+LD@uhvA=i2;u&>Xor&G*&Us@d_`
z*VY`2JyFlVz^m-(;uw<oWyaiTf2VCe%xC?iO**gQ>|^u$HN|B&65E@EOLY-*bT4ya
z7&9m6*Z(~I^LhQh=V#{GT7%{~7axCF^k(~<`Y(23YuB!QdF|}}(mjF5x>!7#K@+U=
z|NnXZw;)FF_u6Zp&)d&`KCe3O?fdza&t`)1`s+EM@#d$uve%zo;MnZdcm3tf{I73z
zM1jm%7QFhhK=QGkmGv*Z<Fmd<#7_Gg_WE@EzoNa-+w<Q33SE8mRq!&O%r7VAcKwA;
zC2mf(G7fi;dJ=vAR~Vn=lL<9n7R#TVSN-nhi^5$pzt>)KxBE2l%iG)LU#o1F&#TG;
zRkRb8-M3jT4_lo&+1KpkionH2RbO7P`QEZba)<F}#}?kA2aW7$A0HhB4KROtSH9o+
zeZ_I>O&8syw}Ny(T{b%}>q5)i*?*@MpR;`a<Uuq4xpUU<@4N`yrSf|%EIpT)F)eWf
z&5T~j+WP<VoT#<a+U2TNTyTl){%dyb)6>(Jx98t4ZR+3NhU6cs{LTvs{WhOG<m!Gr
z{Qr5neBXVG-@4iV{`{0Q&x<j;SMeCsH7kC8&Ucbd>@E|~7}>iWkNb}C-8hNt1wn-a
zvx`9OK+qt#n10-x!+h3j&OTqAv+<}{<i46py}e&9vH9KDiKJ)qN2M=pv#rbX@^-)7
z21@FllRzUgp!UzVd)4pR{I8kb$o~o&+ToEl(*b3~O-V<)V#;o&=JwTpXqG<{8XkLf
z!AmQ9v;c^!db!kRj)kH5y^7>lU#sqY+qPY`^6B4QAQPU&|9ct_>iB`i-VRPK^ZOQk
z?tR_&-8FBs<Gt6%?frC!TYpV)&FtK5Cnx*c-E26yiw)WIyn|U2iqBc9o8KvL_OpCC
z#l+k^{pO}rPzQKk&8L$!|31$@zb0~X(Yu|`&8p7$ovu6m^5SCm*{A>3uV1-Rv-bBl
zU5mi$NwBi(&5Uzy4JIc*LxnPhM+AQ!Gv7B6G@h3&4;s(={B?c3?PN9IQ&+>|?;hZ^
zHvg@g-f#Qu#F?4K*Q?(g6^}n78Xog-+IDl449bu>;n}liZ}$Cux4yFG``z;LonL%6
z+%Gz3`Fzfq`S$jpz)d?pZ?4MD_xpYq-AtXHdSyl6&(rb$CK;c%*?cg#EDn@2Aamz0
zOQgPVzLDM|TYhKbzfS*}N2dMtkA&y1c)#OuAFKMSs5jf!SQbCK(#|Ivwf<^WZXK_r
z(UQ93vgIaKd;HEL6&juVN;wlgpR?9apI=*M2bxC$^~fhEItQ)3x~byhBhaYD&x8DR
z;E;{~b!obkZPxOX{k?_n_kIWE2vGS_cBk-okCf>v`8oxax9La$=+Izt0yL}l<)VA~
zuP-lGUd?)W?d{av53j9>oLseco^qds()9ScpSO-z*1i#ESdc8F!27M;{*U7JyJgX!
z5>I7)jo;CKzu(V)c(~mhT-x2QD!*6xT)OHWyWNMz?G=;Ooka4>Tn5It>3Mf|?Ok{J
z=hrIRtx>wG!`H7XShemjvLb$^oDIL<@3*)Aee*nM<%EhSsMPC`HrLzzW|Ma^`)j2)
z-`AG^e!JbgszvWCvQBLU-c4CoSIJbr*|_u9tJT5luixI|wlHk<(+kf0XH%!gPMc?2
zZB}vV+{rpd1}nAo2XZHXCgCnG_dj2FTy}aZw|LsqQ&U0X&SH8oGyLm+UET>=YVm62
za!7InX$p6cO6k_!c7l;zX2R-qyR!Bk=ePg!0aWUGPuJ76iM*b$|EWyrmB9ZWKn2KY
z{r!6mn8fxYl^D|N88atbyLRo(#^ZA9D{DY&YIL{X2`X5$?r7a<@Bq=dZpHBRadV$N
zd$uNSuN5;p-x;;pIhWA0>beG#6QEAPC2#$w$E5RP-hXW7v(ngG_4O2J{uCS+((AWw
zHJu(;m8rMq!=XQ)rtd$)XZ_~Fi;25LkaA@R(~=3Pr>AZG`4=<{<1@oR(fZwvWV_EZ
z&!?Q2py)a2Xt((DN8S484)fd30kw_ZS6$yNWtg`-dB5!SkH_WbyUW*_fRe*v_m`92
zK$dc>ohN(w;ttl;6Lh!TNSb?k@z*L_(7a&rWnc5PpDQNqd2aju<Z1o=F*(Q1ovE{4
z7h8VUG(5hxbn)>Qn~+W5nBa8I>h+rIUl%&=vHNzr@Gr;*$E5S`yfECQgX9AfrX}F|
z53+jVnC167#n*rTC_ZlsUiASQRjU7Uyk2D9s@L#VW|>d=V^f6#vp>CRxB0ghG&OTv
zwj4BNU3|vy_ztJ9Y{&(zpaSogN8S3*mfQc$l&gBN(B}7>%|Czt4+o7P{l0xa??TDk
z`G1)hN^F>xID)!+&U}_C=WV~=$(|Ry`s${tudkYdOJ%=tGh8s_oWKT}P5%Tk4b+I)
z{QKSR^v!3@vcGu5cKw}ZUjFXRowD1xm0vEpPgVi7I{7RfG`!jS{T}bUHQ7jxUmmzz
z@z<A^!TVn<>Xx!~o1VJ=>6)mmtNyM3|7-o%yt})uW^aw!8^6EqYu(>pV0QHOysypt
zc02xE^42#67p;)iJ*ZW3_E-E?m#1y~^7Edao^B3q`k%IZKBu_oFt0gi01ebX2hE9t
z7HpkVpMU1L{r{h5W|_V=y}z)v{tQy~>y6$ZmGbV+&Y2d4NqPHzKI@UQ-F5MCiRHKG
zb9~lsCV&>~bZM`Pc>htk-^Qr?PNBP8<&%k<no9+d3eB7vK96RQkHNDF_rC8lKitN9
z8Z=1QYj$hJS<9_axpVzLE~|aBeGW=NeSYipxM*-5LU;`1o+qG411(<yWhKxmiGN>~
z+dl=>8CLr%lHY8fbFi8Hd7t&WinEW4pPxJX;9&D<-YZ9MAX+(>Grx2Pn1wjE@vMBm
z=kvL*ptV@Na!b88-7h+4`~6PU+OXB~)o(U_b?p|r8ejMG>91E;SHJES(_K~n>+<|{
z<*%=;t-DwG96ii?88RpIn%~<|_wlGWG{`G|KAryBU8eBJt@7xX_x4urt^WQl`+o1!
z6UzN-*2nGLbuqaN-0oTjUYYeWXAj3-$76l6vu(fKP!3-1m-|H{cGBNz-$A7_sNlS{
z=l>s+f*BDmt=Ah&PL%KaJU6EL?be<De!Z5q^_rft|7q##Yr1!Lm3prY^IjVk{rmnN
z(>I9x9Jzz(lEUG3{_~(!b$9N}0S$M3cyRD_?et~8-|b%SC|s8JE&AN5(A7n6HXeWW
zYV~@*y>b5A^Va{_eQcI#cF^jppcQM+Hl5b<K0nV^+9vaP3Q{$6OmqU<%lrH5@BKVi
z{)}1vhXZK%OLzMnBW5<9jL)m<|NrZi+kAP`{UT5&542hlwCoC0Mo-laPrJG*G;&8l
zqTSz@{?9?}`jyM)-FjhYt&3Dbn5}DI$Uh|(oimY{&q5(Qw)ARMzkJ<~hcj)f%ckkY
zMuAI9L;&?_D;$`8>DH}Tw%=|%Htm1E^Z7hb>~Q;C*@~1hHW#ukIT#fky*cCJBAxhs
zHrdzKL_Yrks`l7?u9n`&|ElIQW5V>fDoyiy6_2a><x4I&zP!46x;aZlGg7$T<e0z)
zs-i)i7trE_)1V>2>o)mcUtMKg{>tjj_Bo&wH`5@|2~>&KJTsnua)P4sB$aM){c}gf
z<L9)?*I8VTEstg6lezJ%GOqcu9dd4B@o27jsvUnaGJWpU<bGST_x1mO7yo$J{`__P
ze{j?8Y4!czaamiV_I>Qle{xv<U%_Jcw^QD1pA&vRSM{V-{`ViR{_k1yK3Cyr{BLBh
zzr6Q?(JTZ!Zs;>(g16pI70|59B+$g=&kOB#Q$P)e_qFe<KfjLue~bS_{)E5NKr<PY
z^M7(7m#l@XOB}1dznj~ww@YLGuPe(x9pctc*?iXQ^xEzBX8rws-`=z6AgegIzaUrt
n=Odf{Ez6tw3=YS?{AXBmY?*4nVz)j91_lOCS3j3^P6<r_7xT|`
literal 0
HcmV?d00001
diff --git a/Code/MonoMutliViewClassifiers/Results/poulet20160825-094109.png b/Code/MonoMutliViewClassifiers/Results/poulet20160825-094109.png
new file mode 100644
index 0000000000000000000000000000000000000000..3af34cc1fefb0afed32734e0ef49d3604f60b75f
GIT binary patch
literal 22324
zcmeAS@N?(olHy`uVBq!ia0y~yU{+vYV2a>iV_;yIRn}C%z`(##?Bp53!NI{%!;#X#
zz`(#+;1OBOz`&mf!i+2ImuE6CC@^@sIEGZrd2_dNj$i5j;~&58Ogob#nbwxLX0gsr
z*U4*hW=ggxdM`B6atYbAY*%pRMps|XyD9NnixxR83VCF<sd&3rq>)<B!3C1Xe*F9Q
zVaDs{MX`q?p2Zk{t+JD|Et>oOd(89VbEWGl=X@{S_gv<*L^2Bl0|SFuLB(zm&G27_
zMF7Ourq}?YHt;fn<QsB16hPb@X9h+F28IM_CJqqywtxeOy3xkK#K6FCz--uQo$!3o
zqD4;%M0)Ja)&1sNXkcUx*;$k-sukj4XJ>b7WAbs;=barL7kJI@Bm}os9)4J$p{921
zc4|!c&xge)*WWJv_U2}hh0HAL@^#U-PfgXnx*|}Sm7V?c!-5sb$NMIIdj8#Fe_lMp
z^lAJ5O=2i`TwoFN@AKEMp&1z~7A;<Ento0ufBJOoX{jeS=}gaD9ln0r;fEJKJUqNN
zWNNy<?bj*ys$T0}T^AdD-tPCBxSEfyQ#FI1P5K<OC+~#(r$@y%_t)>ASNTlx>gsTR
zMMcF=pFan`ytGtQT6#67u$qRh?%Q4Z#`+b%{JbvR+gn|FJ+?ga{k^@fuCAUQSM^f0
z^yQ_ami>1bpA;z?E&s|eVgJvn-3$!V(<7&WWF?cQ%$&J0c6V9k$45t__Ev2*%fGjV
zQ&_EH_mTa*si&u{tor)u*OSTqdt$jh&3t)z`Re-r|E!9i_2lh*DpvaTR_MWl2fciK
zukI>+ZIW?8p;yK-sGU#tQ`yStS2rfRo95gIc=+(4-sSy&K6%fztBuOv^ReyS?)P@n
zx0T<kbg%#Wb^6@YIJ1~PUoQJ=#q8MNdzE2F9EXAfqhZbsgXz~hJ3F&(ZCR=2J8Oxe
zbK8obrCxEX-n^1X-V@v8&dw(jusQAQo>;a|Gr!-f_OJc*CD6m8Lrgzz&5j)w+wG*y
zasuw}tKA!LcdB;Sni*Z9+Rw~vH8nja-D&DnnW`UecmDORpsTAwKbLVbtYdQC(7?1R
z@o?L&m&<0S^jv&)cDC)e$c;&@x3*+14qED^si5Exx+>)2Wq<p%kB|57{`&X+|9{JW
z{HO?B7Zb_I$jHUb9ej6JscFTBgw)hj%imvLTy*AZcmDnDZE<z~9lq67FBZ0o2n#>9
z**w{H&za-L-S5}^UaO*MY#c1C<`ZytSE;Cw&>|(*t`$X3PwjfWZugd~tE*!2m)rmU
z6WnkAZ--X+I-UCZ`qtLgmBGvXZf#2K_TK;EMaJ_Flk)fdJQjI*YLC9Zw|DUVy1ya&
zYARXT*jA;Toi)p%FsbkF{@?GcOW)mzeE9I;r|;jxk9LWEeX+P-%hK}Z+We4^DK#}U
zCGYN7_R85tU0oF#?BLL#6}DzY`n*cFnKNg~P5*dWfB%Z~^YhM~-&*qW(yqsS)?dEe
z&aZw`|Kx<=*O!;wQ%_F|b#Q3N+xIi=>^$4sYwx$t|N89gY*BIX<wB}n8Y(I-bFIs-
z{rme{)pP&<f4g^;yj-+lgMp}COoXAKq1^hFKfhj&|9Zyw{EE82zd&K=;LxC?r1a&4
za=!(CS8>$8W4+R)&*zqFnV5vw+1bf`Kg)e~wz)qeBjc*b&CgPQdtEv?S=}_@07K-o
zrL5dy6+H5jt}Jk5R#j7r`}TLz<jJNrKMG7UFCF=LbGml8-}n3V`|EzaRPX;>^XujE
ztb2QQelFGwUpHsbqD3Z^pHimR?Jj>GHs7u`WNTI^$cYOVE?gD6dz)PK8$(&!sw+41
z&&{#ayWWtJfBuc}+MCy_V}8utbH!9aJA7Tp?y|QbyGk;j*HwNjH#Ig6&foiW+PgiU
z{ajsKG!zsZ7A{=a)!TdZ`TY8KpXzRYeRF%efAzOFg_3QzHmCci@1L`8ab{+wlvT-!
zyj?HVSlQULR8(9F3k&7`m&NSR&%M7dw)|e@@}}nI&?O#%uCA_6Um3F&q*^dD{oxhS
z3OSK`>$Lv<HPhqkA{Q=Pn00&G+Czs9ZAm`Pr>dfo@$=JDFCU+fi;G-U=km*Mzgsq2
zhOhnB_WbpyrfO^J>iX_3dwc20$;qZ!S2Ug*w7)id_Uqm5_tR1%XW3S7TeN7Ah^Xk(
zobHZ}2`Z)U@5R2~|9@ZB)m2O1-QBHiU=YC0Cv)M}*6giGN4ZS%@BP_y`sU{Jekt?3
zHK1f`XlVHA*4EYkemv%{{cw;yYFo}sG2N&oX1TXKtmL~EEnfWflDEF5l9H2c)t7>m
z&x_8@v0N;s8};JH$H!g${nuw2r+>NVE}!|}K;x~Q#ml1wW?B|6ldF6p$jZX9qW1T<
zRRIf|>i&KWKRd(F*?XGK#q#^L&p&k+e>3av@4tR)YxdP$rP-{ktS>j8x4XQ0{k~O)
z+xfGP^+@WSj@Xtn^WEO>adRz;-3ki}L2m4mwO;o2_V(9Xug6_p+;8{l(*GM9le6yZ
z*!bt~-_rB8-(P%rdHL6aX8tRi)BS(``0?T(yL?IXdtPa?j59L~ySlo9=G)bN+5i8q
zf47+KC4T!q3;ON<MflD#3G9_Jy|TBu{O#S{;qtX#CPr<`S$V(y|J~FVXBN43o0Pr^
zadmfJUHJIer_Y}+gY><;ygd8mrKPvFWKKRF|MdFW=;ap|yRXi?ybM&52L%N^dH#I*
z<L6&qtzMt?;=;nLOG`TK{(cD-)sOolH2+nleBF<QeR8&|+IXeo%JzT$61(Td_WO0K
z!{cj1FJ8R(>dwy1U1GYc;_Ls0f*b?Vxi)&c-`1?FMc?LIm9CPj{Sw&P-oCo__cyJ`
zO-uM>t(M4Imt}l=bF=Er#^Wk;`EP%Hb@lSe$?8{^`AUOI6iG?RTYIaw->dx|`}O_(
z_=5)zp8LM{L$!>c;KJ!~Ri5{2KKF*Lk6Zih?r!Vvf8YFn{^f4{$D`t=Nk=$DwZnYM
z@0L#23R$s$nVm1=?yl0R_j|w3xvgVr8rsap8}#^C@6}DI-cz+gy-uDy8MP^;6I2er
zyu94{uxpv^<72&(QzNBpDmHvxlbMq8M0NZ7kB^Uos^h<ZKA&F|zki=q*_#zprikdq
z><G|}-gf17{{FT1_EzscyS?zSTd%BjSg(|6(EEFPx8~ostNrn?J?rA4)@`}Bm#qq2
z9rtcA>x5`Fhka?0(+VwQ@-Bz3kISv8sqt}eX!!a0ynXDgeZO95Cr3`pytJg#)7!f^
zbGC7M-$tF&HXn}&pUZS^<1yrGKdckE=}4~S@jlt&%Dao*`5zZpoVmBR`tGl~&u7h#
zZPNMt>9qcCpZ>0{qUiQHzoe4Se0+So_wYjlUMZ7;Y~y1yu3QP}zpQ_4Q>r&er}p|i
zkBn>$4KM!q^=sB7Rqt8B%l&q4iJX?YXz}9Wum5f;DJk_FerQmBr?B0!_*qZ!uZxS_
z&-R+%%aGw~kKCNrTm0+XT<hNX^XIP&TRY3s&#$a<{rY{sPW|}tV@98>^)8S*jHac|
ztor(DXN?-DMqU}TwCm&7ucqw$awUHLo}Pw|j*iFf-@l)F^X8;UlkQx*{jgw$UG1+K
z#m~=KF8}}IasRRF*RNk$6M1=Q{kP}O3oOq3`T05aR@K*6sXC{P6crWoZr2^@5Ipv<
zU<RkK+72K4f(H$!x1IiWR6JfnUS9t4_Wb)Y)9rI_nQZ^rWBGq)$hw%D63J(F7C-md
zU-!2sHS*cK>UW0A{pWwP=vUuc_0@>4{V<QTna=gkDWA94%i7i4m}66UY3=(yS!<t*
zi(GwYo8`tVyS_I1ItvTSj44w@wpaGaSU&pm{Ya-UD2#>G{YqYczaC#dv!{pW`RkjT
z)1})FCq6qf^YNwkOQ*+yOkWeX_tslmo7(>HH4%wAr;S2ag%sYN-dlM0yx)Agx7+SZ
zCi_H1&D#0%*=*m8j1}I!$9B}U&8xVzulCm$!)d8AkIPk`N&U4hcDK*RM@M}f92!pF
zU(fx0>CWQkyUrM=o)SrpoL2eg<MHA(j0dJBbBF~vq|Coq@$cvJ()+dFHO<VzCVlz!
zdj0B>mzVTv)qQ3toZbW~DYh5hySuA2I3;Dtz3TV2+f!LsSa$fHKC6G^`s~z5qhn8g
zcz<i%|LB>Drlx0n&Bs<yCBA%K)v2X#zunFcuc_G+6db%Y<Km*%L7P?fembSCx4&V!
zMxfK-Hr~mGZkyB27WvIL$((d<p6zP$`!$!}@<m^~crok#zP;0QA{RlE+tTp(+N)2E
zIeB=l{QZ7^eev^inU|OOo_o1D{rt5~Vf8E9^W#BP?b>UbQcv&l)sES*A+G*!>Gb%W
z*;iI9Jk~4ydingiPZf+smzVj@E%!WiZEtn?^I!je-~V5h`TE-0**%80w&l(~{pG`l
zg8p>=s4W=_XPIVa9qkg$%f0k7{;+)AkHr4mn||}{*80u0%DlA1Q_7-XftX%Q#mUVo
z;-}?=%J;5o)QH@)q)SBek=fp`wNYK2ofogi*S|G-6F8}+w)W}c$B)hYJv=&2XD9a@
ze_xo8u;9<%zw0*^l?$u;O-YTc`up{|?LFOhhyI>9fByXAy6`m-hF{;@40i9AyLzlw
zdi~0IXU_QS{eG`nD{RdSw|=>|m&zXZnr9toU<5UWkKg7u&%AWxtxo*;dA3hqzh2EN
zZ59(8%MfG8!mXj8w{P8{O*&_17#^<NP`>c%>+7on7CJ@kC|G#>J4iF1yxp3`?)_R8
z77^d?md`)dFTb8o)@nuZ^K+nrNy<F$&DL}c5$!Oax3{)lzO>X^R8n%K-(0JenU|OC
zdb{nmh=jz9)!%RIDqX$gGy92oe0P$PlD@p#{XXmUwY60b8rj$FOpA|?H_f?mA-C$=
zhfQy)mVBPyU-B<X*q`03oliC>ENoiYyE`kR^Y>m|x;F3buDrk6AuAL-^^*U9+K!Ra
zrau14H7{gs)KyCz{pH{H|LAj`_v)nGiJqRG66sCB>tZZDi{g}v7M9<y4KIFn=Hj=v
zw@bgg2%O&hVGiFsX_JhCm7zgZRl8=H=db(v`ugju;qg}|C_3NyC1YQA$MVW^r)GBk
zuz-LIs`vkA=|*q!$>0BX8>j~|Ws1mL+v;mK(;}w@1qIEq*SS;w|8Lc&lj>jB*Z=j7
z-Bl8}IqmF~9fiqLbs{f4wY|MPe|`G=+OXQ+-$2c*bzy6xRu(=!_Urooe^b?8EByUm
zcWqVZ>X@(pKOUF=3aUWQ&NB7#^9yrxYukKwlTQEj-!Yx>bw6D}<=-rm%tb<~UOToP
zKXN4F$%%=2_mAhy`<5CXA3s$u_SVzgtPgGpIy5jT{Z7!awT<oU?0j`|^KwwzBy?5C
z$){3WFaNY2iHwY#zDMHDCY`x9l|cs&9t71&*Ve_Z4qWW^a&f=irQPrMX(#ur3SYlY
zJig}QTk$+=otPZ~$;bPy?y3AdNBkHY3kxU#czJjPL`2+BeSUu5g?pDvnZ^C=%ii25
zUAaBw<RrP{$J767)jVwd@7^afQAJfn<;jn_oAb{fwUHJ0{cGO;;JSy5)!(X8<v%=c
zTh6>~&OQ6t%Z*cR{<Ynj+J3NGf0n#W#RgDX+mw1*OHa@5>8Yv3ZD%7lr#-FM_~Yrk
zi$#x)aOU3K73%2dn00g0(&Ki=`(!VFczF1(-TrpDDi23T$8)t$qxkza_sZMHfg;hv
zqa!IfIdo%^E2!~2Efv(CytOg89aLz(v9I`$0IJR>tNC6!(kX0O_ou=$Xmi@xFSoMS
zTk_A*4qLOLSK9p5(&=%Rp3kpeceGplw8UaAQLPsz)#r!&|Mz#j_g`_VvNtoDnwyJD
z%ToXT`U+~lZ`!o!%AU&N(iayT9UUEuEM!1sh~3X8!qdO*le+$C@BS<Q-e=xtFZc@T
zQVL5*te7!FLN{`gOX;gCf#2WV{d!t|{|=tr8gYAe^cZ@1dY=6H`(D}Y++SZV`%j%Y
zbLH9D=C41Wx4(X*Q@Hg1-|yNwI%g`E&wR7{LClZt+-<K*4fN;!Kl-~>JnjOw{+<O(
zmZ;SJe!CsiaK2ajJr>mHTOGcB-;+N#+4tA~`?>u1w>OEV*Rwk!y}Y`54D;AG-aNg(
z!1CsQKX32P79!89PT0-x^70BgJInNQisbdv4-dDS7Cv$T4GFxywzk;%v{C-OJu=Vt
z-r*HIbm)*t@-d#R+1LF70|TRW7A?K4e|M@@=%t;-&x>mM)qH1VJUcTpYHQZixVoQD
zW7Y(o+q7xZmrtklwQX!-qPORja$kCVZS7}^`^@|{3)tl<95ORAqqgVG1$CVzjng#r
z^!)7q|Jm&1?5yf}b#?glKR-X0zPn?Ydw*YSeBIBbYJPK8I5xAb%(%D+)U92&@?ZB<
zjX<ZBD_2_8{`!*YeB#7J<*5@VF3jKe)6I9bS!t%UaoU;E%5Qyl?^iQ~w`V&vFs%w(
z8};h$?(N^+-(O$&_}I=Zck6z?wW|7((YO7}o+(bPTra=f&cE)hzjw*U$Hz}gJT6L@
zQ2Y0&eEpw?X77*nN*C9*uXz)HsQB~gq@6`iMdanzi)x3h@S3U>wY%(XYP(Ace{9t5
zvbD#XPp{wi%WGOHsI=U<>U+_-dA6@VKKS^0{r<9*?pFVQdKBHeXQF?n?)O`xW1yZ=
z<+h&JPru)<zrM5hxrns%YcV^J1Mk=W|2ylRy_Hqe{Q7@8K}l|rEBAAO9d|%YY9}YB
zDKloQSikSrt4X!z=U5h>{5EBZh^%#)Pp_0|5x4wuzqv)bZND6CYHAV@7hkR!yljPg
zznqt^@7EpjmNI;It6s0IdbM)7N&Y<>$>c8|kITn@+PmKETV2`5+!EWLZ@1qU5fXYN
zX1C<?VL{uEA3yF~w3+|v>hSP~hg!GR{x0kHUwZ!EpLN&2%N@9?*ucPg<MVlYeS3R*
zRTY&TJReW)OHF-$Z?COg@T2wn|6Kxgk!t47nDN3$%sTqp`VMh95wna74#y;XXPcc}
z`u_jF@B6i@l&Zh!Z=2V4ZOM`)FMhw@Up~9;(GgBi8MbfVzUg~AcEs!~>gw&iI?uNH
z4%4mj`?bq|etxd4qT*71zqWi`_P#j_o!fWGG%Q=TEbGaMiJNpzKb`)(?(eUY*RO{+
zv-4kDzyIH>Z+0_h&ICo2>D5bntIJtgSu;O9IT^J%tvCAjS1G>|+m!pyzCPMe@#%@@
z*LQbsKfbw5`|1);;o6T!#fvOtz(rB+q{)k1yR#0pa2g$Zaj*LQ)l*ZoZNGW@_>{Dr
zo|9tFpZfXPSv_+}i|TJ{*mxu!d|Z?2$Nrq1UvA2m|M$=9MsKUId2#Na-1DP1xBdJ3
z`?SPjMd!8`2O634-irHmcXR|~Wv#khUVW@b(lYPzg$n_)b~P5)oi}rdYAyNwet&#s
zW@a9L{@=IT@0%nZV)^;=XXT!yCJes~ShzI~oSLS)+Fiaj<ni(T>o+zg&n>U*?CiXF
zV`H*u$%}x{wNatDx3&a6JvFuT(-Y6<AC@ljo&9R_dArFa|88=`*M6Nk%Pe=*sj1ql
zGcGRr^{`!jOU=)s*0#1){`2k5rIx+8;263(?CPJNpT8cLuYa-acHZTEwZFfdRG<H1
z-R^gnnpnAuLaV>Nx*EDJ#&Ylff4@I{{TjN|Yidg5v|XjImtDCM0!nMELRU}Ay1s5L
zm#CJ8uCA~5biJzwo7qhZ9vp~~_1XLP+ig&%a$eo9%(XE)gTB7HT72*J{o}{oH>aK5
zmB*g?@Zm$N+Fx5hqdi;m@8A0=GvN)pVqAs#s#jN6XFoeL6Vy%3y0&KJjvW@EtHXR}
z&YXE`d;a`uYa$nK*kJJY$K(E;ar<_@IQePe!iBTU^XI+W`CJav11^1i4K&Vj>Cz?8
zsKwj+`{Vcj{dT)F@_TmZu9D2smzP|*#dHEvQkH-^(2tMzzwXxG7m$#!KuKA7YwhoE
z*>Qe<e|`OWH9Q{FdR`m7{n~N)`ZZ#@QBSh&t&82QrL64y_t)3pn3y?A%F3W#A}c%l
z>k|`|y?lJGe0zIazdCnPYNV7wLc_5>+0{{7vsOB{^MRUW`~LmPmbI-4xp?tnUgP6;
zyWfXhT;y8%`|WmZB_*e05^EzjyGfhph5Y^Xb?)mA=d9mnoSLEu3ckEOAKgG!Y`<T3
zd6KHPh=9O?MrQV1d)^=YedcOMZ|~I&iHA*!o_Jhc5qS8g%!Fok{;apRwr1VfurTf1
z98FItlZ**rYa+l+=6lueLq9$`x;68%+TZW{|6jHJerGYi-H!ur|IRkgU*|j9Y-Q-`
zFwm&nllSk}N9XNy&Aq+t?8aq=$;UFz&N8ify>|PS#KUZ^?(VNYJUk2<!YKLl#PjcS
z`~QJUy{4|KyvrEFT>bvn?Ej!1)SeHAxYhLZ&b73(NSxku=Uw-_x69|(8Lf@lYUJ82
zW~!*D`0OCNyh%I1{I?tBzrMU&=GH5vrl4>D)G~Zrd$aM*2A$JCe*AcHqwd24$KWL%
zg28Jd42xe}P@KLERJ1(X_xqjk(^FH8|NZ-?rlWJ_PSxwR&rYh(H<@joU-s?yqi%hl
z^Yd(d&(1RS?G#c4_2ka_n%_-f<CRMJ_V)JkZD;=e{ytkTcGrvx7XpHJ6eM0=;K=;>
z<8k@fpb=0D89w8h9|hC@1qKGnT~EBc%y*e<x7ae5PN8GRk01Z}r!o0>-%LSew;9jQ
z&Yu10>FL=G4Gh8Caw3IgWpl-JA_`n@zdz8(ye$9zJ~bt!LqC51o*lH*Yi6IU^(^1n
zW|eQ=7g+fC_?!{dRaR0ubf@4jubQsz*)OlJpO5^!|KC^r&)1^!pIY4ie!o6nuIh!N
zu%KWf6BCn9M#hSjp{u7=e!1v=7Ss{BWWGE%!{^-j5`$-difwk4zt1~0T|fWN-@m>y
zjZ%F=LZ-~LtF2mheYbnR9LUvgZ*tDF%TDeA4XPDd$Sg}gKTq!d`OBLwUA}zw^LhLH
zRbgwhn3$P;k9LXr{{Q#aH!Ew^@zVWQK5b5|*AxH!uwCA#qGAUp50A<G+HaA4pQ|_3
z|F8Re#`ye<U8S#QJ$R7t`1$knLx&Fe`1th9G)Qc+EPQk%^}4CH_URsJ^K+oyyog@R
zjh6QI+3)V|o?ZL<TjiZ=!OMIMWv$Ch%<ok!)(l$G!O6>OTKejWAtxuN-g)7h8xose
z-rl~xv!|z|&U|&)+APozK;4gr?9-*zeX~@seA|3_y1x0^=<Q|;7cK-Roiz~`OWxeL
zm}?)mEoWxtjSUMqxwwoD9y|z2hif7?s~xZMn`@Q&>)YFGt&kN7T%uYjGJNfoFBZ1z
z?X2y!{I9bxeO~3Ukkw&lL4ExP4-zh~3f2Dnbb9=*uY2$8n{v61<-x1SV=?XX9k@2^
zt^U5M=;^6dAuA{4?Rdym`}wT-EYoaI+4$^|zNV(<#EBER`1r0JXk;#ZbcA#7w_DjD
zrDi!d9_)GDt>Qb=$hF`0+YC^V^?c>OoyE_y-rU%jcU~DZWA@MU-$zCjV`ETXF*G7#
z2B`b;>+9?6Z*OkqF)qo!zYjEJRQL0#`14%d@U>A(Z`_FRoojXVr^1?^9-hz@0gj-i
z!p?&42ifJXsL!uiWdH9+^X_~G28IXnujT6ns}?%7>RG3SPXdjfZp*#B>rU|g%FoYM
zg{_@+`tUtaDYbOjvQ_!__vwAM|M%muRpqB8({!WD{&ul5Ffee<sIOr-*~`q%_u|4r
z=T+hB=S4?1v+>5vTQTeJ`|kI~@!RuaEoJ!n{o`2~7#RL(awzPaP%9nm?;pm?&mW$Z
zwd(WAeJ4+z{Pgi-;K@m<vA;mGWeXQBl*<nW%^Cg)7H}w1w6%?$WMlW#^!LllH)}6l
zzFb^m=jh<juvwmgf#HMykz$7;MFWF?Nj7#In!g|B-mGO}W-hJ~$^&)1=BsOJYDR5L
zYE@EF(!0sez`$^C;=Fn5Y^%Sm2wfePryMuInq@-F3Aw7LFFP-tJb99flQVFkQ|p}C
z&6_q&nKbFqrr@-+v{xr4Dr-e=%jr7}nz50qc+mJd#+HGBVcm96pA<Cezx}kv1P+Cr
z0o!sSL7kA<X1PV#w>Km<D=90_U9YUHoZ547neS{7aq;JK_7y&Mn`>QuZt44@N=iy9
zbMG(AzOth5Zy19f8^7F|!pFxdclYeq-IjkZS^7B=_3P#G`Ckq&^IP=aE_lkJu=C2w
zVD+<et;0P%J@w8r-rQNdyp2cl(Hn7L;l&ds2>8ykxvARVGtVZ{wM*pU-12)f9~*6I
zkG;Ag(7E*0m6MB29X~!gdUIc8$J^Q8Zyc-ahEdu4ZKvaHnL3vI|MT1))E$~MX_AWP
z{JLK&LF4S6mq1gRYa$G7f4|xM>%(DwQBl#SH9}QRPEDZ6y00%T9{w4}$jB&VnAGy?
z>+9v!@ArnUjoNw%G)i3g`B~<d7Z<ex7qys&2{JG+oDk<wm?R`5v?c$(o#&*~$f!LP
z8^!eFbYA`uKGQ9#z3kJ|)7f8NU9Ec5scus8BH-uGpDS~3Z}al-D2V$%@$JUra+BxJ
zpAQ-V0`<2<wL&h;&fmB4-{0T2_vJA#FgVmXF-+W2{rz3c*VTcG+otKq&s)83Z`IeJ
z^>KUGE!6>~{rvXl4G-ki?d<N|R{gVfW9?_T+ZOq7YU2IKV-k<wDiz$DrW+lyJuf!*
z-kzD=#~BzHJ}LHHUniSBc;>Rpxi3`0)&h)9#1Df-2kQ>3i`{)?skb<&>~`%E0nPK6
zBpu;cx_tTWFTa02pAVY;Ogh@7X<`xr8npHD>YBa^v~=VXe|)}pK){>(`{Td9z8+ps
zu;JJD_v<H25KvW9dv#Pi{>n7n=q(i=lRSfhf+m4F0}mb~^hz4LfmSPIuiv}u{r>-P
z(q=gm*6YufVPIhRA0xy2{L-DB#Z#wETXy7#%iWU8zLS=;%hyFjMn+aWpIct?=SQKa
zeq79Aw_eZ?9B7K8=;<lXNw2Q2Uw`99#Myba(fsy*HkgMqgGy?xwuGmbI)&9$JQEWW
z^)8>DqN&_|Skd0z-t*ET*X}FZa--9KOjz>l>}*gY88muX%L>x>Q-D!r`l3aPQhEZ<
z&$9*fN<l4nZZVw;plO#zW_B&;RN+GB_K@{)w%dP7n`A6l8@;`1VG#oZgTns=jxfEg
zSy#Q3-Fhy(xVZT1%jNUECh45MRD9lc`NPBQ-jgOxo~-Km@ZrO}&+YB)+NP$VGiT1!
z3Ry9swiRqY2jdei7Z;Zmk(<+?J@PF%H;sCwOubT1O$ofeuXb+v;ZNVcm(Mm=P;i(u
zW!^kL(6W~U_F{}G)9=;)ul@S+vit6`w?*?F?s&a!_mrtqm)8IPeZQ-}KRh8}fy&D-
zFE8hPPESekn6w#GKYj3bVK}+;<Ye{Lesitz4zC8yrCJt0%Xocl?YZ5_sr*NG1r!x+
za&mGiD*cxH;lV+zxIH^gZ~5_~;^^_?@rR{AC7aio`S$UjpPw(ES@!2gp?>J+?~V*7
zmo~HWYpJLl$*oFDTh?P}RsC%Zs5cq3)C)Asp7+-*=f;8)Cr-rZX5ZOSxGH%0In(Pr
z3=9pcpTA^(pc}nyMc&<AajRauZ`_^mG-zwq)h(s3!`|N7dOG#jp32Wp9zR}uYiqXm
zB&*U_OO|?1*V5EHc{Ba$s?b|Ii<iIK`#ml?8=O3)&ow-`6zp%i^t}E57|;af{<^;+
zQc|l_y{Bay?Ggoz*qoZ8sq9(x?PmJdhwbuOT3TMr?0i=`h1I7_n6LoU0kN(6^5LBq
zs8tkqOmadDX!XXmwb9F~zP<wW@<DTUW$*8;y|~yt`_dB6b9GNoPrv@^>gv#?UZT9R
zRw106oS^yZuyrvf@2&@>$^PS#6SM=?$Jy$}?)tLnZ`PF+3!k2zemekELj`OoU}Irm
zU>K>(nMTsmEqeO3W^e3)s}|+&=3HAJzkbOQm8qJ+ZoJZFQ`YA<#)yLQul&*ja~XgB
zd_F&PZ&j&j{=FDxcD@iFpPp4AD;MS7-ga}-A5ey@{r!!Lmp62xl55E7Fx|ahuSMsX
z9y@w;WyHoLkofkzyHh4jO7gA+w}!$VFnQeHR|{IT02*=tt!*kQ+5{R&`1<m)`uXX5
zi=KL!W?k{n)YPnc*eVVhc>)dp{{H^H{F|qjSJ35UzF&X8-=BSEh9PJ;5mW$f&AAzr
zetzEB&r*yG3=MyD?)ODkeYxmvTJ<HPwWVc;&;6an%Y}r5L<9sBJhdV>EdkA$Kc82v
z=l|NW@KMXI^7re?-rjoI%x`yM<NXzZi>J(+w=Vbgwv{nEizY4k_4T#3nOPWU>hCbW
z{hZ~cpcR8ZBlp=d7d<$@7`igZ_3`ok@UXCH#Z@68Q`&eW7nx>X%ecNSHfmSN%6k=$
zc|nU<GHu`Q{XP%0&LD8Ho9Co|zh3K0Cg1s`8@0tF_x85ZHhxdg5dW&s)yrDB#h+#N
zf&*%LKJ$s?^Xpdq{QNxo)s>aIem<N1_2={X-jmdPXDumudTOO>w-~5r1oDkl>8p%e
zTQV!7&aVnxEg~Ya#Qxt8XY;!ylR@hs7A#Qs`u2ACa{u|$O6*Kztx7yV!(FrYJ2tc3
z+Eto8?;5Co^Q8QzS%XK=>aew2l8^J*embEHS}y`x*duFG5%7NB?{$|hU;g@he!Z5h
zZLECFheofdT2q&A{qyVf`cr4lgtYU?UfETe4f4_6s;`$o_2E3*YA>u6T4j_v0|Uc^
z`A=UnD0$l1*@1?EKz+uk+TniN?-X@|0x@{GpQetEkDZ;}wkw67o_H=@zI?TNznqkL
z-kf*4UhD1s`D}L8lZozM{{4Rcdi(vl;Hs)!DktyXzn}Z>O?KF(-=I?Yzspa%hB=nS
zZpZuO!&e3^1<fskmVwMR%MF^U6>5@u%cTE$;*-_`2OK<urt8JVEGvI|EA*Izs+yYB
z?-c%%y8_(Y+D^la`lc6g^5jX-^w+*0kGLh1=QKX<vwnBs)z#Ho6Am)j{{3=!mPzI$
z&?J-fyB*5@uQj8$t*QI-(H%68mRc1NF+=6$i;IiTEeyZuyiqT1{)7nvqFNy@Hk}65
z6J6r^?~HWq?BYIt{1_f>2kOsV`1A9#Y5l*N>6yp-<-Z4+*317iYq0rrLiyI_^!~85
zQA<JXB`H&{xmKm1b&#Pu3KH*@->(HtWFPC1TzqY9^y_oh@6TM`?Q?Z)bU0`(W74Ea
zpw(W_zc91&d05H2AXmAc^KWc$oH%jf&ZuiU3Ll3o_nZ4V*aGB?uI2I#+jDL%+Ex0x
zYUQH+?KRdcuW#q?zq-J&`O2C|W6+chXd-W-viq0E{q|PBS=iWKJ)ItZ&ENj7%IQs?
zw#)-{ypBnL=7UpzZOObGvLZmyH2a#*Bv7YOH+ENur>EyRyVYT9FP)ofUHX3ScSPbp
z-_X+Dp8faNS5Q2wc)q^AetK%8R`9Z(==)uw+F1viSSzFaQ&N^xeS5Pqa&wxdv2pO(
zS*Dk-$JejzxBKM*T3ot$9cZ2uv{(qV?ycZ~!(59(Cr(bzT~DV)Us>$lZ?hIuxt@6c
zDVL%0>C|vgJ9lmD?l4uaDHo>cMw=8oaG0tee=pk<G$aC=bXpU+88mOPI%ug^)#tP3
zSNGS~r_aaPJ3MjqD`;5Y!2Ox2Z+7)w3B9qmdOK*ev!{p0G~<FpuaxPhGS5n_YM+PC
z&d%Nms^1mlA62})_4Kx}!X(ggUE5zT7T?nYHT({gPRiGJ0u6F}_)gSHW=#RcBNB^2
zQ!tLrY@i~qrl#i3zt3OKUN08`wSN}W{F9lG<8S|W3%H1Kb9>duE*DTxuwlD5sC+9B
z<#J(|X`J2%YDKkji&yOy0p+Oc3mkY3dinc@cZ=!ni3OR{kR77H<nj60*{y|--SVe{
z)>uD~6766x%DkkqHhzEHV)y=Q6P4Zf#PWe!FRMX{zrMN(F28SVNCYi|oT%g~A|mqS
zQ~bwANB736fs~!r5D;Hj{_2Y7wA9MoJYb7gIIv8(xjDUhH>efFaNV&{q6svJ^WeQ=
z{5-~)*5&I|ULItZpOPAR?)vo0YooXC(cuOy>^40$opFhKzuYDr&@}qQ`Sa&jeR)xM
zvr^}@5_pyP&zOBY3cJhSPgD8%^XJYzARh&6czT*4Xl2k+?|opdL7|`($O*TJS~C9W
zX>NtBW!0Az&(6<Zf4}~Jtb4!QRKsIS??To@cwYsD(1~6qK?hJuI5*e&^_7*uTwGj1
z1qB<T<xg+g6Ceo+0qsBqrV|qsokN!SNa{vy@z|Pm^;4N8$QkQ`8h5azTwfO}Wstz|
z5R^7F9&ouZtc=>a%5RRv!?#8tMKOz+1RdP^WLA1kR?9p;&-R`kD6kHgY6x6!SQE9?
zYpK`Npk66c5ozhwT%uYhjvqh1v_Cac%D!&TbS+Q-PmpF+YS{DjTJ*Vk{n%YslI6jx
z<|q6Y?O-T+cgHe+I>?d-Rv_a*tRK}H0_hH$-rn0AeR{h7^?Q4(RXwL_g$BL8wl;KU
zQL278C?FNgxqKKTjZ!*}^~=9ElR5pcAmhRUM=uYL4?(FQLyA^A@EioKOfk*7V^R9%
zMqp=WCurCQv|{nd5f{)ZyvN6SFYhRPya%32(jAuh&R+KI?d|M`hg$V6=kI=Nw)g+P
z-=|KTxG+UC*reh^f_^BdZc{MlIwCp27BbRixovya)vk6CP&#LIXyi~xOiaABueQ4H
z?d|RPpn4)_4M@*{s~Q4~Pv%v>yZGhhWz)1X5_7FePg(xGvNBl8x@^rd|M}~FzuSGj
zTNGr>iC(5c-V+^y%3E@8n}J58Kn<6WZ8?#iml~PbOTN8{bai*n{_){q+&UppvV1Di
z!4R~gAaQNfR<HRrpE^$$J3M;y=*lu*X;4dNT59D^aJOQ5umY3EHqiPQ=XO45K@h4X
za2=d<e^j5Cp6&ozE!}>2;r#l4k*!>!K~GOj)we!!YLm|2Z@2T!z<z&__2e|er8SYp
zk<(P$4?p|_>XtbioTkrw;?2#?`adDuBc_mD62S^gC${C@HUU>W+F@%h$d=z(csp;m
z@8jeB-y!j|&ZUt<!QcMx7BQWO2Q_=Ezvtbp{eJh>-s<ftFFV!eUAVF`cyFj2C=thK
z2{5Mo{`M9$QS|xiot?!`A3t8aHhTN3-S77WKR-A3D`<K3Mki3@?*ygykB^UwN=dz{
z`Fk^cK4^MN)qC0$m7~XwWnEtvdru40A$8Cb?O+g+lUp~x?w9AJDRbtmIXl~Yb?WJ9
z=e|u=_qWQw3Ci>e|4&Wd{%~(ZJD;pc;UkySl#~~{-|w5efB*h>`+n!8{{}7EIm~Nb
zfn@WEiOQuvJ|yn_e9js)DwuYD-r7q`y}c)0x^(Hw!*=;sACJp_FPaK+sNQl1mI;eo
zyI<}7e(&_g-2eanf|l~14FzTE9YL&04KZDZ9|nMnGEky#h&eHxG3CdHhnsY~&)a^V
zBg5C;#xGxYvr^~ur45OPb5?+g#RFG2^%x$z?HY6DVZn(_I!l)?KYjkZet7wgO*-C@
zk&$L0)62I(s^F~8&(5w2Uf#F;G$RAU0auH--DN*N@toLM{9F$fk%x^z&b+bAfn~zo
z-R0RQC#hO)(~sQbQvL1C#`WMx4p)umJGkq{WPiJrTeg^N&Axsv`FH)l&+?#!4WL!e
zXQzTaBgFcM$0I3eQBrbpaZdidJv*<hiA+v*1)09it&u~)y<aYLW75&09Q~**EBa(C
zlaS;@wZpD}1{P#)Utbfs_|wzVw<82WDPnb?0+UBg%^pzU2wER`XOg+Lw)f-X{nwjV
zxvy-^4%ZI@Wj#=Kb$#L7&Uf|J)@)PIP75hhudA!Wr>p$^bXwo4=EsIbixz#kQ+ytg
zPtG;``29Qk>8Yu+43pcWOfnWsnIf`u$r8}wjain(%l7^G<o)ya@9Nz?AoouXR5;h*
zG3oHb3(owuOWNhCPTXD!65rv)s@C9f>E-3+TT@Sqf!fKv(&k|&C#mj@1!da??Er<g
z1kXz?oWde<a_f%uO0P~n-UnLtqoS#*>Z<BJ?aG;%#(QHFL0&zrDZrR=ZA~PoZTsla
zBa`B1K9b3Ea#g*jh4}dJ_&b8?a;^p@K?l&dF=$cG=VxbwcbC1rbL;iBwX5apejMb6
z#e-7An_FAG*G6wYx6xKbrA2)qsMH6ST&iAE0=&Gu`rg|A`?2`c6iwv#$-TAZ;+2)b
zrEhK+Zr>(f_rvk>GT-3e-`?&;s$oE@SEf!~Iy-+~<azu5dvs1;nqyfE8rokGx3`Lm
zoBJ}i{+<VKjX>!k1{CM1r>9+g2HEn!$}M(6VlilAi}y60z?zyp*Vf0spPJs(BW3Ev
z*Y3PE`+8Y6=J??5CkCJj>cRX42W&bFbaZ?!FZaLx<>h5i?we~}?zhxy>ZHRD=kiRQ
zGG$44T&1gPx7gPk*S2H^v$C^;I($}zk6PlY-<sC`|NH&chQ#KYTJAGxprBm0x~5*`
z&-M8Fl}@c(RnKOof4LIu?>Wh9s@Bt|tH2v-5)Ze52AXcm?r`gsTKeTnN$%}!zE4k0
zovd<oeSG}JjT=F$ndItzB<4>6H90C`_sKVbTGc;){aWQQQR$xE(U+ix?;_XkFVAM@
zSLMWS$(VR+TkdPnK8!t;#h^t1+~Rs$R)bQQ!u^xq8C}3bQ2h3PE<ELYaSv2)@=6#u
z?5+MDc6OHO-CO)J77Lu)`Buj5t;);gl`^?-ZEf^h4Pnr9#Pm;p1#~=LU0T}x>)YGa
zFJ5GPeRnrnP*9MIho|Iq_;SCwHtSPAJvj+lZ~$7N-T(IF$&-_oeE3kXecOi*1xuGL
z(=s*=Zsig^b=eBs9|kp^R;<u?zW@4~$j8_6dM2huo;r2v)Mcxn;NY*1y7gbRipK?b
zcyt`Md-?L^B$fL5`t92q8W_?c)&9RuP+QQlc$v=WPi2x-?{+>1jg!^={q^*Q`tLJm
zUS3{)_m+{7QOqw;7W!|(s?_l1#l^$7RY85=S!TJjKwY9GOH@3cpWl;`lA>X399;eV
zU1&hSgyI*W-vZWftE#JOtEfELlx`22b$WEPd$&(_e}8yQ&7aaJX$A&{m~$9ip=l@i
z!^@s4C@VXIYERH8+l31OTXSz;d%RV&EMjlf)}*8)m6MN;ewdaD+Er2YxYr!CWd*c2
z;P3bQ<u8jb`<jCi%CAS=`ZjvWr>E(zir&7?EdO54>93#(nH@$l>tlD<RI@#~u+TZ{
z%8H3)@9({}d7vM&V}sqlAIV!YE*|<;1zH-S8@K01?k~{j?PPU-&?22(58I?w=I+nF
z4jQVSGUdr0(f6xDS8pkP?#C->bmZDDaD1rTpU3#}{{H=H{`1y2HnVA}skwpnrgR7@
zgL>}w>wcfT{nQfV*b@_#LB&h)t$%-ihc5S%1r2Z`4MKvtL5JITE%^>A1u`=*JjsW;
zI_2r9sjsfBoh>9JH0QF{biK9fVt2oq9$y#u_0`qA5p!2}>rc>+-?t}hecW30c@<91
z?R-<`&!2y5Tkh(X7M6E)tPBhd^;>GB9lpK2y&P1G>w&tqO36KZayB#anNENv_zSCg
zrA$GKc4n^zl@6b_*Zfxba(TJG_59frb$@@oxjB7rAh^uTo|1pQ!Q;|A+v+W;r^TMX
zesg=?-(RoSgR0r+`eP44ntw*`<5M`?#(Q}~;^8~XzQ4VF{pr?Ne{gT7Aoo))!%Wlc
zY1_R)sjFb_)7uQ7l~k}6=;`g^;L`BN@6lbKMD+`YNHG0dzqh)7)hfR`_WxuYEEU8J
z^_rfro~-T)%c$hsax!RBVXwlp<`zja?&X(G9?R5{Ro35mY3bCNTaO7H<55pHdaJ~j
z{FJrS=d7czR!QrUg)0&Y1n%s&mpZ@wGqdQ~&D$UR-YVvOKE3|iM@#ugoq3z}*%^GC
z89`|=L5d610%5ou0G?Ex(Z&R7-ybj$0q-qdwh-L(HsECi^^zJgHNXujVzruF=##ac
zGI8QUIoqle=g<3tmbkyTxVZGggM(JZ-{0R~U;S>U`@etxKxN33Ns|^`x)j761gh(=
zi|MasHW34@IDd9__S6|OR?M@le)aqP{_CL0s^$LjPoF<u9lbqo(vnAyl6Yk-0vsJ3
zLABYb)2Bhjd)E7VdqInZ_w0!P%|gZO|B<_+ahcD|MWWhaJ48B`EK#{z^Z6`D!@auS
zxt>93Y0I><wYO$p*V~$T*=<tE?cD7z!}tH1I!!lvS-X7QjY)q%eVDBc!5gGj#P6>w
z?Td49cVAuo{T--6Dt@!~`@LW%r>4y{9+xI4I)lb}_Wpjid)ZS^7j&Jg$b|S8FD@?T
z;^Uj9B5PUX0$ORkcKf}k^thayHK38T&5uFxa9xD!g#Lu7Q<pw^l%%Sz?mfxN%S#0`
zF;@Dlt-byAkxpSyWxi4pRGwyYvOeJgO~gq`O1`?ke}7O=kc#KjsZ%GZ<mbP)`uw(R
z_i4}+;)5y|#+^){Jq{lp9u^f5Su$si%*`A#&q@9L{VFFP7F@ZxeATK`sh}2lf$bx`
zi0Po|uwBpRRhRtwl3Dxj=ku()yS5hJ{u#Xf-2ASu#j2{RSyxw0on@L`cC!9)r}{k5
zGQHC`W*8=$q@9@&KLgYS;@z5blxuCo#zU!ZuB;3eTbgO5p)md6!vYOOMaS0GR!|GZ
zs{GxXO}0u(PKt_(w>Bob&#m2_dwbc888g`aT7Q0iK777i?K-bCP&GL7*FA=NJByct
z);DwunextQy6W)!+}z-xph=%Tf8LsPRqN=nW7n+ToA3YGYxm;;v#7YZ^>NTt8fam#
zr>AGyQE&`+$}nawI5}B8`|K=J(CP>;Z||vd=f2(a7c_pN^7o~G{Uy*4vbgy2<8swL
zPoF*oEnlqq`fBNwD<RyIz{!!1%Yzxz**BZ*n|*D~#aX7=uX60;9YAXo3m?1r&a;UG
zwKZEd%cd|ei0$)qaSZwV?CjJD6Bbl{erEdO7pNz<Kyz_}NkCj&T=Vm?x3@w;Lv+%Y
zK}CG8Fr<4+W*!3>F{+i8r5Ig8_}J-J3=FfT9d74ey=BXlR}#Ln4nLf*ef##ShO>08
zUH==A{5`4mZub3swPEfVUo;dL*3AMbEq=ak)v8|?UupQxS-vD{wX;d$n)Sao9(#B6
z*P~l*jEn_Wr%apnZ+%UQ=c}yJIciyRm!uz&+Rgp?b={hc)f@M{E3fM<T&khKaA(2l
zC3a!$8H>)z|4Q$@+x)fE{@RVb5%J$2i>!(7>b?LfpUA8j?kw50D++W3!mTZt%JK1_
zr4jx+ckT>34yt8zTp0@|7d}3gd9aD~*W3L1)ves(r%s>t1~rYIot?e54>Y0>(Z=+M
z?e@0Z%crJln^u3zfh}wRW%RPQw=!Q{Ss8YG_d8Ib^9odxUDxI6kOqzU#l^+VGDvJH
zK6CqaG^oc7T1ylYlapu#uIbh|GZr?-?k-yyyxi~8=g-BG{k^@VdElOvyNH0fhNfm<
zMMcHjj~_l1NVY9hcJGUr06H>cgB<G-UM+3yr*GfJrr*iiZoM5`Kq!OiD_1)^yCMsj
z(qpSvt(tTDb@9F#YofRNfsP4?Kkz!HuyEt1&70TuT?FqW`TzU2m1hnA?&Hh;|2-+S
zn;jk}-!DsjZu>NKal;PBii(Q8%Oj^wnc^`?NlEF|-SsP0cue|o#`ydWUFkZbvNsW{
zl}!q3_;<@^zlnpz`>yD~z=^-Uzt1o2aqDDy#Aaw{`0M-r|7*LtxTbSo+@5z=YxY@C
zVO#ZG+Nxv)Xure0+TYxAs-SA6R7+bsG$drnLg)4<*`*gZNwy_M$SzuWb6f6g(26q9
zDzZ;cPEM-(mGVW-whFZWf3{ift|Q>_7hhp_hdT;pW?`M3ouEDtXs_~%7a6+I+kD#j
zWG}`4{}sL(T+dB=$k8!7Bs~1}%=CGIVPVrwojP@8bGpCn|39C1y<WF_4J^(<>EnP&
z4Id~<A&rwCGdFEA0+qG@|GuwZ+sDM<E3`Zza>b4v5um=rL}mAo$Vg3jd3n&bd^I(<
z+*?~VTHPyMxMxpHYHBKI<-yg!1~%)84-5R}S}o1HyX)lj>(^gd_?}zn+%6(2y0re!
zWBFb0_x)becln7#+d|{?b35)VlM6o&nqC1-`L0>xqo}CZ)!iNZ`r6vHeXKhcG(;qP
zes*@2Rq3j2IX9JFE|))MpT7C#mG$xVXXjc^=igDd`OFy~(BSB*wQILpc`XhK2v~4)
zb2=y&bMf(o6%}m?3JOZud^6@*YI?f1s%q=ky-c7ZG~%jWs)BZ9fOb)f=|-uvA6_V^
z?3VHS+uKPh^78VjX=$%E9+%r}k^A`4=JfO3dG^)c*6_(#EGT<>>*W3W@n*AqcbC66
z(~P~mA@{Z!Xbpbo>acSgL4#wrwq%|<eLA?bbnBb4-EDlbt0Fh2tt@_iPHb83oVdE5
zskPtlmV=r_pw<Cs3&Hz6pZiX~7X{5SU0E4yTKvps^&+Oy0_nKPPoF)@y0IZK>-xI6
zM#jdVvr0aED7g8yEHpH9<&q^X(cAN`Zc0538jxNayL*~-`omd8A09Y@CS^@cO<&#H
zyZhU_yQ@K4%|IS5Dk`d2{#NV9gJyov=@2Wz*T?PpdMz5%mavrJyL#;!XqD0Wz29bO
zX={JI7M%}TZPL}(ckRQ&!)yEQX1uw(JG`#0Zr9Uk(XZ~tg@&qng7(~lPI^h(qV^cH
z+33^L(_arT^LtGC_j&$*&?x+*B@>n1UmcUqzXFP0(ERn|W4*Wb)$U%jXwjOUJ1;<c
zyq|L1752ATD5@Q%VQU-9Z}XwS$=SK|$q7NwES~<J4^2+a&Ze1{RJeti|F<hEsJ*_v
ze*T_4dq9iwE32#H3*t&kw?2COI5awX_1fs|vu14gSpEC$c4?dMf4|=ct&6E_|7X-A
zXB!1t;c55#jj^k{yZ59`n>K+O%nKGM)PA|>ey-fulBp;aG$(yC$L#6Trzg`kXa4*1
z6SP&*H0OrF-v9r8pQ{9g=*`W`K?@3M|9m_yrj{3DWNd7jeN6|n^D1gXLgTLT_wP3C
zU9sXsCD*kML1i7Un>#8iDm1jUPe(d{#vt}qf6qESP50G}jf;!#y}P>`G|vZGV|99(
z?q-eL$5$4)a)Y+pKR(_+JyC*-gX6-FkB_$|9Bi^Go;+#Nmg?_$vK9pgnwB`k$}k$<
zoM&6TrQqSA?rD%Y{-EGs%dL;NmMmL#DsA&s%dKyn{{6q)R!|5^B1=3c&w1)R3A8sO
zI)88I;dcJ(4UEiN%HBpDJ$5W=#->7T4UG$%&)dEJb8pZ8f4@yrPl>3is_s1V`O~LM
z&HQ#Netv!)Ex7q&)vuS!r_P$S3N-sy{{9}Q)K5D%=cP?-$9&H4@Z8+Bpx{kSOWQSt
z-xIWrMa^f%f;n?!x-Xf=mF<od6&0Pd<kTrI=%Eo`&-M2Amsfsf+8|Ya&?qt>U;-C6
zx3tOj4I4ncj6A<9UszaKHTCrTZg0=u{{*yuaBbi17c%yBd+uFcv#aFgqO-HjwT+B|
zoZEOF%KnUha9qB=WakbW&?0FOLBYWEJkTUjTwGq%wq=WaXPbeR@=cjNd$sRuGfgY2
zC~h&G0AJtUs~2a@Id#hG>a}aDqPORL&3k`u?{3gy`^mwkb$@?<zkX_}wyNj8efwTr
zSvlD(?@q+~JH688*M5Iy-oWMV;A2+yCgSXT`}oAf#90Q3PJ7E4SFTub;r06c>sYzP
zUVJ<*zg;2qv6!^<>c79g$A9?qZvO8Vi~D^%u58(oe?PAJ+nbf;(V&&?d3RQ{w6OF_
z7&?8wSH1q^%UNxpN%j*HmCqfwv$F%uil(Hb%-wnP=+T(vAGmp>Ogya1-(7ihwEOFw
z;`5*lqQCyWuRk9+VRgdsKG{vT-+~9)rcRr7&HDX~jmcab90tZwlMQNrmE0{nE(<!y
zBrR=OT;)^IyY>J7f;u~sCQlX>6I=G^Q4(nJ!>N-eK@(GJ`*<u0c{@(7TD=-HZwA`R
z6c-l<3Wr074?lhTR=54|!by{aYQJ6$U$t^&U{cbeY5MW&o}HZ?ExS9g^4-qopn+-7
zXet*k@7@=8Kx3|-pPjwD{eE3`(5_?p%F52G!`EM1=-mF~Y3ToI3BGn`Pft(K2DThC
z>FW(K%a$xr2@MGWooX?CPWAQJ@{^Y@PgeE|KiDa({^iSMf6x&hMm!)ho=Hv6e)2Hz
zJ4-icTkzfT`)iHoO_;FY@$r7^_dK0#zn@I@H_5wWk=|)t{cVkwws!0@iMEAXwwQpH
zRL`3?PfV3HCeT4=Q|@gu(4^V!vbRB=o}HhI9S$8nEGjI#IB>CBA>Ut7tKw%pUf$lK
zf`SXv&d!RIU4HWB#^m;AXJ&$@!sGYXiO(s2cgGS`ZGsNKiHn=p$tk_RsfkI}s^rBa
z_X(gxwRHJ%ZA;6Y=e{cLC~9qO)zZ@o>zA{&*j3W{%35?q<>zO+{(ie1d(6w*8??R%
zbO@BBq-5IB?4VPpPfwjYcP+29*^37Un^&z^QBb$;hVJ$|i<T@=IeO$sgsgCZBXp2K
z4?Ma>xS8%Ce0g7O_0pwFBV`}2s(8J2`;&(c7tXaVkK6iuj$Lil-uc0d3<m7>jf@Kf
ze?FU?4_dg?Cu@D`_;L5f#zxRSFEPEC6{}Whd2ad>yeBv~`04xi^;hS;&)P3H`)t}z
zDaHd|*Zk`@WMhaa25s10vP9+P+cMC!iF?1?s&(tGfwm{F3|_u!!2$<ReRI|DC#yU|
zL7<2LLk3G%SC>iJ841wT#s6Q|_lrnLy}I-5#p3=f(0<(AWouhG85uGp{0=fTxFwvM
zV+o3xdo`bZr++Gp3kjK`<~u9o{l3)H)L)0?|1FqjTYc*O{dka@&2naZdvh~5{T*m%
zW3fB`){KizpoROn+wU$bzgKyD=iWt&oIvM9S(Us{*nM~1h7AVb`Nyr<*Hib-JKWCy
zx_tldxw}eUD#gdgv$C^mYifG7^U1C%|2NY(9TYwf9we}`v1Q%aQD{~9DP=DBC>b_h
zDHVHrdsY?}P|uu|m38`=&2@jPphGF2zJCv&t``eR&+*r?nHWrX+#MJe2!iToP)liF
z?eDm6`#?v)fL7S5s;R94ZK|vKvI2CV#Eu;nq9P(IN?%`_1X_&>YN>!a>~i&g3PVFf
zGtbYnJ$3$kcu~<N6-`^)SkNLd(Bdx8c<qmmkAMC7d>(Xe%h4l8Oe`*cdwY9p>FY4i
zBI$_}Cu(VFT>>5U^W#T_sEEjkyzSP{rP>zu^zeW-nI7wrv?_Se5Lf#(RMxI0qO!8`
zT;=KM`k*~7pj|zn%^IK?BhV)3MrQU`pgo4Sx8=S*3u==6ez)7-(9jSxYqn?a-q47M
z6=!Fg$A61rW{^6-zz}oUZ@yjbjU2P&CnqNI&bq&^w)*kHcDW+Eb?erxGk$(yp>x~a
zJo9<=|0<u~SYQ7)`|-2c`TJfJZ_l}TX@*JWCD-RmmMxR|_wS$h+~CmA&~zPp`}-Si
z=D2~D&*j|Ql-hPS%{VDJxp&qqspmhs_4j2|R8&Z0Ut43ybJ##jORHzW0)^y9M>_S+
zSH8JnxH$FnG`Fg%UBx-SzPxN}Z*Twnv5A$Nho7JS@sUnp@v}S(JFF~Nxf#|KF87~5
zZHe~2%^{o9&d#Z~FMl`3Z;pjxe0+TAyE`|Ze%l5*I0v-BSJt{L=EF|V*2_PCYNk$^
z5)(M>^PatX=hm-Zx$<JCusSHZr|Cvtt3G|#U9Qq)-n@C|j`!RBT47^ryEX5wmFFe(
z`8A+3L^LfeBaipXm)G6QG5ZP{&-U=FUGF(5Y<-;WVS~DhubCKPq*z%P))g``GEQ3Z
z>C-3eTlWokKy}nytI|o^w{LH1ZWfi2TBX1LPY`HV^||U-E0;fc{(Sk38xf_iu6RmH
zN|yRL&$2FG2WmG;=kE!u{r&A~kEHRJx7+W>l`UJfN(<D`2DS3Nmx0bSNtsl)Yjs#j
z$(GX*-D0|+*~>+XlstnH6BqIv4ydWw<K*NtCw}3=g;D$K_V&qImmSnu?A{;t|KDHJ
z#6v8tt*x17W*DA2d2(S7L&NL<2Zjey&)>ga-_gPG_U`WQUEj{1Idf%-W-w^e_nS94
zwVzI^pE`RsbbH=i&~a<e_vpp$0&O`4ZQf_&lUV^ez>b-X=R%L9@tk5IVd1Z5&F{Z>
zIz2vYwplJ{Z#d}mE&2LCA5&97>p0d#ZU)Ws&zU0wT28cc=T6X|oA<IdtMYeqa?ECL
z+Prz{?AfnBZLRxT_4o7q|9c+nE886lYC{$k7f+ouX%Q$0L5q;?mf!c~WMnXZpj5(;
z!2;UsQ}QzC>GS9D-&$XQ<~Tsd+3o%J>$Tovb^m!GptDnE^!N7*2@8XUTW8IZ0+sVK
zXU+t5=4P4a>v@7^M?r@>6h3m9I&Ipj^7r>nojG&m!a`?#?cl7eRnN}NeJxXLA@lX#
z%~J+EpcRy$W6g@+oSA8?rKx%G!^6X>p0d_uQxYY(I5{sqIM^&b=kfDLj~|Q5%dZFZ
zEU&GJ{PlVM|22E|?9r~XV{rIu!NkPSd*I5-V9<#x?ecXy?p^K#?T6Ei*|FhXt*x!?
z>phd_PoBK^(W9j48->;VcG!IT^eO22y4X~SHqco&#m~=Ku6MW8x3Gv16cjA7keU9q
z%Es3Awam+i9R&-sva?^${SP{eXW6o2KYv^ej}OhwUE9Vht>y_js*Q<>>B}K*{T*kl
z*KgVKr3o~9_^RjYtE=8^i80^6sTo`%c64=Jy8rK+xvIMQ>g?<5^yath%e<@xs;@IM
zGrzu@Jz>Ivna1f_y1Krg1Drr}@~P?RtCNrS>3s$*&DffEH|p>2@8J;<Gq||8zMRrt
z4=RmyqqbaF8N6IXQgUVBVz-sy>*GM(nO|RDZ%sbVxA)5>Z@u%Ov9W8<oH=6^8MQTQ
zsk?kFXl;GezM7p(OiWkSMw{o}+~g{4mJ?7=P_TFX!d<(foZEN;gMub~dw>7^p1pZa
zPEAYZ`vphusn{446m(^|zdU3{(xshW{u*cjLc)OtZm})<|2)+Pot6PQXAiVW2Q-lU
z=xF!VZMo6B5(W<@{WoW5IGu9!?REx+>FYOaxZvUMZ@y^JBA(rM^H^9|BtSmim~m0*
z@WTR$wnPb8s}h4tmoCluZ6U+=7_>F`)|SlVEg2UNNtk3zm^goa{*mLyrJLFL%g#mb
zDp@HgE}jnBt88aycMP;s_|M1wdXrP9PxBuB@v>|mXgulS?(%$P1A_}6zJE8b`u;8#
z)MHak&dOT#@ZrP2_t!z1B-#=|d!Hrj>-GprNo9c?b-0b!c;ByAtF3NM*NsjCm9_J0
zzs)o(eB|=DO*+qjiHWIa$`p~sYu2ne_bcblj*C0K->dFjut4GP_3PJnyj(WBXUi6o
z<mcz+p0m8X+~3^B)^=|H=TDz{CMvs2O`JFpR1+vEEB9_pJ}%YT+PeSAelCUrMzg~Y
qxU4~gh|eBKQDIUAWD@NLeE-<bS^l7W3ZG9Y$R1BuKbLh*2~7ZtCzGWB
literal 0
HcmV?d00001
diff --git a/Code/MonoMutliViewClassifiers/Results/poulet20160825-094453.png b/Code/MonoMutliViewClassifiers/Results/poulet20160825-094453.png
new file mode 100644
index 0000000000000000000000000000000000000000..b24c493b09bde4207a771013455489659cdda5da
GIT binary patch
literal 13825
zcmeAS@N?(olHy`uVBq!ia0y~yU{+vYV2a>iV_;yIRn}C%z`(##?Bp53!NI{%!;#X#
zz`(#+;1OBOz`&mf!i+2ImuE6CC@^@sIEGZrd3(3IVCvVo_8-o3MyM!daIR_OiqKnU
zE_RSfl>Oq%s7AfMYc57vSJ!sk-SsYL^`pGktgqHw(+Y9BwQ1MH4r%>{@D!`8qkXTJ
zimuoy#@M~0)unfOgo=XN^Y882zrC3|<~^yNH2He=voj|5Ki5n?UnwqmuX5h=IX-5y
z&$2NvI54^Xlw)9Ecwr+Vz`&p&$;!gO;Nix|$iOfu(1C%WA!Sq;5+=(MxKEf~j}dlt
zbv3N{@xj(=-@biz=j{Lgd2xGt{+AaQmHX`f{fO9_6)Nq|$-pqzTW$8)w9mFK*|&ET
zCd<@(I2afbBGSyp+jal{zwf(k?Pi}nW_VmiSbxt4r<kgjOE2y&e?P-KKW@*rTiF|n
zo}QAhsVG=<l96G-2GJD8nO3D)d;WgA{qdr^{L$O_`~R+Fee!Pi`@WUI%a1)e+Wq*+
zWdFX7j$ONUNtoqC_{=iV6w`~Dk(9&0pi#kE&UtNp{omISn^HW_%rs8#|E?3a$AZt|
zL4)j5Wu-++mZ+RMefsgg-|ze1-rm0b=n4jg3ok`N7&Ei7y1MmtX`HiuzsKUuhQr?~
z?ym}6o%H0yMBQud{c^I=+j2U$W?$d-Yz70vg-p>9#-BIO*NLs)`z`9sEYsJ<Z&$Be
z*?H;GC9&7@*W}*XvNH4;Geg6<bqQQ2tl#eu4v(u$jVU}T`thiK-ACiMxfvN9d3Seh
zjksU^ey{TEvu@7L&e^@7FpRoh!+#;_-{1THZL7Y&lNFDvc$j|g_TK96H@4+QcYj?Q
zz1>Z1a_76dyWf|@$HvC~`80ihk7G02+fNb<3|#Kc&dxbEHYo1<_jSFyr>Ez><1Z(0
zEo#{F=hNwr^Z);x|MBwte<o&mcO(Sm_iuf7ZEbY&?{9BEzFNKB?fg93<o|!a-+%e<
z(xpo)R<6w4`0r%Y{<^<qyWUUV|0i`$;W5dzU$ht)UTBEv#YillUstv7_zRHPId^s#
zZn~KhQ*zPu<N5!8&g;(m|7rSung5^k{|lMlt9b19y<fsmX<p5zlVY#W+kEyB5f?wc
zA@Ok8uKWuN90fmqlt19iXZhsw{szCCUteAtR)2d_(|<9s^vR#F^>Kgqv(|;V$V^$T
znb*<L{rSu0_|6Xbx_A5SpQ!J@b3)(z(`nzlpHFYA|Nme6>Ai#9?j{X|cKN!BJJs*^
z>R$T~3PQ8|dot#COM+{Do{sP9=(u(3){6D(`xTwrT&C;ADk(j>671i5v|If6BvtQ6
zQ-b|EJNot4M{UUn^qFa-`t4Ts`nmt^`0MSqdNRSe?3Z3t&91n;RVVe>TPNOM(sAN?
z_6}{OPhW4Zo+|k9aM+LE&UK%D+dP>r{qyOvt)EWoPrqMZ#~SDWip1b$KA9Wss=vKC
zkz(|b|NjSm>uYIeW(bCchHgwe+$Ld=;NVgd<M8avOyTEqiv9Ndc+?#j6eRTd+1c)8
z%a-kUwQ6<HULJ754s<9}pL}x5k6kNP{G44cDk^$(Q|jqQlf3mhcNRYfrJ)`<TdP&8
zRwcc-uu$_jD?>w5*ag-nACJrDZw!l!l$<(ss_wPwudhTuKR@69^YioN61)ryR!f_H
z$_Q93>+0&N>A$e>q<;9P)4hL+lp!IkTrVQ<>6HC~V&(lYCqW?&mFoX9qDxB64yI4X
z?f)5`I(<6%!-Inx&)fZWnQvG7=tgpXZ@XO8i{S5i5gQb`y1Jrlc9pyo%HQ`ht?4Br
z!-CH*X1!;OI=p)QKB?K}`F)$u+gbnm`dS=Rw1AS~6wTnIe}8@!zT5fyU0J=_<j%;=
zX-5}0HqTo7e*68pTnkeMh7vp0KnFFyITFI^emUF99=3`fJ26rD@iFQAKUbK91PdQ^
zs)Gb>XSpyiC~!RyS~K@#ic#T%M)qUX@Aqy$UJc3-zP`S>7NQIcC3&o&4%>2W3gz$r
zTec>Czg^n-d9tUc>2|NLeVaXhm;UUt$67dr7p0${7Z?*GqdvDJ2vm}As<AONoLj1(
zcktJdqvG*0`+pqOS5jKEVui-OpJ(%r-Pu`OzI*wO9Tw*-pU<&)x8pHL|Hh=FT{|AO
zNhjUeQ3xvPU)<kc-*u6ZVL`CQ3MQl4Utct|wYz<1n;pGdeqXk?w|8Ui?QM78X=-bC
zZ`!m;Hr{`xk*c4?!xjnqx|*2cv!;gm_x5a)lV)JB>TTM^l6_-CV&R{U$B#><&k^Le
z`QY&9seXN@X7I9_XYY;k?(C2-PV=$(^<r_Zfhq$-NgQh_+mrQkt6r@vJjg13WLN2H
zP;Qx@`M!}|P9ppIy1R>$m;29`+gtTDYg<@gprELz==_)IObi$5Lc+t{OG`^PZ~gV_
zmyK_*1=p?y6B84cBhP;~Z>szI>&4~e=jCLrtH0&sKjdZzNGSWp{dB5!_^}m%i$9qJ
zCTeteZ@5?WdaYQteC?M&ornzzyUO3owaZmyxVT)ocJ0_K)9ghXHx?c*EG;e7{bu*)
z!(mXMiOtt#Vqkc(OyOLE&ulZ@d-ebSf&$^o`}_7;+1Zc#tlxE*W?wtfYkp7S=+UEs
zf`-Y*dRDAj)x|4qcBFxkSxM>9i^ctY%KbJ*eO9klytukLd`-kgB`t03<Oc^D3x7VH
z{`_+)BZI?1%?>7`(pOh@e7zR^___W6N>J6i@%_HvAlE<o^?H5($;s;PE%YXzbO{U$
z?B44=U9Z<&u2Kb*c$O|*YM6U#%Z^7~+TVT%=`b)PoELFn)YRAS|McmTzwNqBn~b!y
zwP&wAJIB&E?cAK3VT&0V82-<1+QH7k!0<w1w5>I>NkgIj&tv(;d-m9{@yp5lezV#C
z%gf8^eYW3jRJ>T&{w<@vwzhUo{lA|Vx98t~adEM`O#Ppa8?&yiGMgvGz+g3h-A}m%
zrh9(9TD`II^D~RzZ#FNE-(R;e_4KreJr#wZs_fbM`SQ=_Rln2wp0@es43o^DJs%En
z7rtCN-R=Foy~+3XR2n88YKhocl*%J#WARX%k)h#Gm;h_aqa&S$g^!M;WsApEB=*Qy
z8s+Wzc<ip&gz9%Y)#ugydI>UqPR*y2f`WlzVPc2dc)PXN?=ce7i@C9EGc$ujdXT{M
zgttCwlRKIDZ4B;Jzu$XTZhOVYM-~qnn9HX0cXUjeG)Y5WzyJ69{r21P@87$&n2Et*
zd0+r*%IRskAHUtsKmP0M>*Q~5Zf?xEx#`EP>-)Cdwp|^zwrirY`?d&q+p3bBo10Xx
zt&6=K_86owIDqxZqi+2^yV_qzCMY_CtHoeHOVwxR=I*|2Yiep57!`FZ>F?yNzO&7?
zo?OGga6wY^h^@l>8FsZ*Q>IQmy3BX>BTx(T*s)_bw&mW=`wq(7+w<;5t$Dxq`@M;0
z(-tpWxNz+;R)z+@<qOU=@JO5KfSSJ+k9&+CHL}Zf?Emvr-!S#ml)LX<-rM`z&->K1
zwb9CxPr7`6clUNy3<JZ960TP~C*rNYUI~8O#I4s+`uf_@3k#jgt9&vuGp}5^vL)hw
z%G&t-b@P7}FGDYYlCu~XZZ*Gp^=iesb$Q#u;^XHp&*XA<6rbR)H~-dM`6+_RZbv5j
z+ucn1J2QP==c7lDB+PPdEdMv>=H~SGU);(V7_8RK{p(cu^wd<ttSc*Qd_yF-9to}4
zey?iv(Od5FwIbYNIvwxs?moV-T~10+aO>8s8`I9t%E-yNQ+Q|P@_ADEdp^49L~cqs
z9u*rKs}r?FW0}uPq3X9=!*A~gb)!_c9`T&ml6m>j-|zSPKR!P0{{P?K#oM--z1#7)
zFJg0=@12Ury`UOIP|!H-OvkEKt8Q#abmoyTP*AedQz(9RrnC5*rFvY=$D<mWnw^!O
zpScDH2gj6N4XvyRWnc)X;9At+GuO&AZ|~P@KYpICmjl&SZ+5@m2lC2}f4^QQe|mD#
zy6<#~QDDfGKTG@r0|RxUx9RBZd@^Z<b$OnNiOG={7Z)#HwJK}+_g)4DhWY-EA`?D+
z`lO++|NqKkEp6?^n>KAaTD3lIFR1P{tpE3Cn*=`t!;g5@LVgYgh6{!o3JeSmMqC^W
z3=?{om>3vT7B?_3Fq|Ao!mNP~^QzzN-0|TM_u~(T`TON;tBxFKWPZHmvR`-U>ua^I
z?y+)<fvX1h>3Xq`&YIu%F|cJ|D3Oc(Z0nG{<K3>;k5(?9*R^TWCJDQm3Q%=-XJ>Kp
zlM@p^zS(^K*ur+XUAO<v^ifMYJ4>{gjW=uCzWa5*w?4eWz;NNGhzsM+ACI~h@7iUx
ztL*Ro>A`Vva_%yPE-}?_w+4oWeqDM0@eyJF9#En16x1_&DSAXTBKde<ZkU~tQX7w?
zP`hkd#G1IhRsH+VKRY{n@yeAew;pF^VE7mAC^8|o@^P>Eq9se71oxj#+YBlNU)<cB
z4(g+Ls?QbC-~XqmiIb6GL9u3s_lB~xhlg4>7Ct`q<6?i^mfMfJy1O6GDL&WvxX)Uz
z>f0Mh?XWc+(s?@+kM&B6YlpAv`S<s?`YcedEZ$LU!t}T*O}#xI4oR5j#nilxzJKfO
z#?;i*z_74wk6&vBFFV4iK1bm3@&5kobvxCbot=IC8n{RcESR3K_v0~X!^%%jZq)z(
z`*>dUyG|dq&olQQ-%<ED>C6nnk1rPYZ#&q+z;K~b^orz!@AvEN{cJuSsrdi*`{R@9
z^Lv>2EFKisuLl*t*Ve`Ec0cYn-_Ew`>#M6dYZon2($dnh`+lCCL1F)@)vFip+O_Lu
zRBdhTyk(j)ticZ3a&L>>|8dOx(bMVieaGdhb@=RlJeafZ{;#jE7yHk*t1fx-=H}+T
zt@;cOjW=)VPYGWaBe~eE_ta&V)`bds2eY!Wx;}mSRPpU*dh*3Zu7*`#Ud)vXkB*kk
zzP6_G*s)`>*`Rh#U-gfN?a4>GL_zh8*=$J$2CKzQ7R;aazOU7ntNCznhEb~5m8(~e
z%9h``_~z$je|uXcCG@V7i%jj8i-k`nx*rR4mlfSx^|eb>JIp0DHI+xk!a#5TpHENL
zvobJnMLLR1cs{@0&S<8O&5sAoA0IUHZ>#t>nQ79=ltn96{Pdi^GI;s1OG~{UPjr{-
z)Q#Tel9`zaYI3dH@u<so9}71F!wqBBKnJ<{KOb$aFd8*t$&3sP^-C4rF)}hRSh0<c
zC@oXqI#GPyRvgrHkg5Ce@Zw_kehG_$ggIrmGB@Vk-DP_#K0aRl`TY92FK=&~SABUQ
zcwD}|W=+)ARlUnW{fp(<``9yhug8|h+I+nd3~pbv^Y`Dnb!&!oc^;@OGOzaAO^YuV
zoXdBb&pvx>iRa`;t>SSV-uin@KwWN7=b2Mj?Z~OA+Mo^^XFMkZgUGff4F&P|nnF-R
z{`$KA--|%wKpo0`9og&mnyp&3s%+<XPzGB*zs^cbKTbw{eoc{!3#e(ZA@T5|Q`+l$
zTDiry{rtnga3N9zM<KJlT3kO)hFzxMK;I`pK~OjT>C>l$|NnkJ{_XAU+bL-b3@>`P
z7B##%C7r)VP*qiRw{6<hRiTDOPfm!vUhLlAryITP$gQo}x3g@(4TfzEIx#y8KqEH6
z%l+=YEktj{)PP$tDU6jbmrj3lh+Ds>@bR&u+xLB4dspuEg$n|Aca>&u-1q%nwY%Bu
z-nO>3ZBoJv3|4cSv=u-#y3aft%WwDV|L=G{uUcvH$v5AAfSLf?a&Jei$-leH)M%zp
z$@_bI*SdjQJPP+%UkktA|G#cd#iP!T|9-zeKH1++66De4?=*FFduPp>1seJK`uh6&
z;QhzHyu7?Pe0|*6Yg$@bixw?P;#X&9Sg?2Hx^;c8UcE}o{`&Q6<*a1|B0h{ax8+9H
zJeI!SF+IM{Qm*>VMvEU0n!jh<?+{debW(kO&c=UdjL*9i78deIo4pC%fBenO&E-|f
z)(i}?*U!~0+*9=Ql!R$k$UHSI9@aw6u;Ad}DbuGP-+bOqx?4=Q>*8Yf_g{A0x^)ZG
z2r)4;dlvz2eD#{&>rnNc_9kNW>ebz@-C{>U-R|{!zh!;?$;hx^vqp!p!u{X(zCSw1
zF5jaWyv!vwHug^8aoMx;?EikbtgMuDtVc31G*ndDET@B!na$<Man_V`b1VzbSw26~
zt-nt~RaF(#Kh4O>>RP>Sm)2KrM$kBn0PB;V&*%61s0s7i{YU_nK)Un(FKI|InyI0c
zRd;FmiWM5ubfd+l#}s*<nQLt>B_);g<;6viJ<jcXzDD*83?*Xd#ZUB_@2{?EgBtgr
zpP$cvdy#>m;lID*9cCs5h7z6;-ChBE-shmm1b(|83hVZKIyJ+hFzL&?yVhM@U5i$&
z%Ig1yF+L;h&&R+p*Bw0k`s&rIq-$#;4GSI|kT6Vg(TU&p$N25}6eGjzYilG-G6FV#
z{rm0q`mb#)3=Mwk61Y6}*Zp0zZJXJzZ*QeRt$_74PqpX&tOn&2P|h}+!N<VRp|QYw
z187JQG<1IMe){KUXD?p4a)nD6RBx<J;PP0v>1K}43<E__Q{w2+qlK3|)sLRm-#_R5
zMh1oj3q;PSM(otk)9V8@mHVvU?Etk?KwbH~9S_?;jfyofJB@yQe?R}dAS1&91q}so
zmn=0k)q3ANqg1as1&25d>;C-M@oZLh(!D*Em2>zQ7`WQKH<Tsb*->bic4kJ!my7P7
zZMhg2M0nC2${rtJ=I_~>eZB5g;pOH2{c(G%Oruw?Skckd)wNBEm!ZKdEH+m5>eZ`f
zuf2Nx`m>4e!vKe}<iEeZUR>@!-`_Ux+nbyB_K7nrIPm6;_$g3ZC~&dc)67MOF1*w`
zxN7a%UeoMrF3HJ{`?l`dwM*={Ep)5{6i25%f_w{V%FNE+X9?;v-q=x??BZhc;Q;f;
zU$57@yBu*9j}`g-Zg>8f8HUQBvChM7yoLz}8ag^Ge!W=y_=IwQ&*DBSt*WoDL_u+J
z>eMMvwG&hK^J!(ZEdxV92G^>FKTp){JFmx8>nbT3&GZ3{7Z<+Y``yju$jtP4k|498
z+452Pt1Bxvmb|=F@noWV(&=fsfl*OXmzVi=Yp>gp)US7tiGkspkE7^>@VLsS!Tl@O
ztm!#*>Qq{`ar(KQna1hcu0}909QgmL<U6Rp@N+SU98tXna4tmdGKu&w{(R8P{|Ho<
zb_%P5MjsZhSfR0M)v9k5ILA2VNPxyTnlu$kOG`l+u;S&?=}AXA1Sg(M`Bsr{HoMnz
zvf9zP<@Y4TV@m>K>i>TIcr7~rXbY$CBmeqe!P0)bpqVLfwgwHgZr!>SG>Q_jG0C;&
zsdoI$$9uouDfYMd`{nXR(9p!sCzF+x7Oh#M)5a?;2AZ_diP^DX?J+in2EU~V=NjH@
zy&ebBetv8D$45sC4=}R7(U2DeRpfzjadO}9*VpIV-?w+`F;Kw(%G7#cYokP!-TQJj
z+Esmdabr`e_nO$<X8gg73=R(i9h4R=Tc+ma?H#?Qe$%$h%ge4PGcq_h2017#TDVYg
zSLy3(Nwx3ye(%dMljh~+t(?Kdz`)hdBqVrucX@yA?QL5l?(ZtiPBEJK;@;kBxn)cY
z4Tpja-ZxF{Mw`LeUH|LL%ZsbS*QaHRii!pX241XkW@4BSQd(LX5*}_Iy?Xun^OsFp
zof$hjunr^SeLp|XwtBhwMrMW!g>MOD=wN?a(|Z+<dm}cboCIg@2&CDRnjS6&23FAE
z$(@?dXFuMnet+~>ue7ofc=+Uce7&ublHRTti*A(PuT3Vcl8x7AXJFv+a}=F0|IZWk
zkGHbdySlijP429Izt{ZT-tYH1IxIe)F;2c;`@PpkP1x1-tp6Voyt5}K<JlP)L{>Fv
zDXib~>C|$$U@X%o+mB{2FgTPPss_y&kL>vn$Yc=LvWA);58DfGrcQSS4FT=gVR5Wa
zR=VHr*Nf%vqBkTsiinDCttfeUDNNCdoq<7gI%q9`>b;uJXIUmQGdMiIXnLP{%e2ks
zthA@;L<)f_9!2N2Be~n}icMDY?Rt88`tghI@_TRZ#T+R(0v##%c{aaJxcqKu_??2o
zyoR;EzCa=#JZ1sv8i3{@{r}3T&#Or4k+Iyg)*aNgU8|sX5H#sm^7fV~X!2J!`|hsN
z?)>`Sw?BTl?0@`Nuk`m9zjN;Gv79w))~zfb28I`3xE3}1c~`!_JMnOvYrmZBthJyK
zk>j6tPd=NLe5i%<;^y@8pvro(pOt1@-Os0Hv&9)0tX4PeU|9{z@zbYGb2FRW>pR=*
zZBc$<Vd0$ObC!j73Xi*jW@3+ai54E_H9rFC<Uc(%_2T~e|J!6_85pdlHfbpE^739>
z8@*lZbv3APcwWAA%^ICkr%sjC*ruMEV)3v=IO)%ikA-JVuOHb{`8ldSfq~)063}QL
za^t@A_~-dYL8hOXVOageY##%|fqB{;#tKW9F16l!X4SG~YD!AKzP|oGbN_QZ(;`2g
zGcjDS1NEj*rbQMt^hg*gP1BE;n{A$-SEl^S_`HqqOdmD39*K`L_dh3Y{J;t{OuD$=
zuIuOL=kFtae>lwlc-!r~?v2UE-|d*VXWKTjYilBfdwYAW`&O@Bo&E8zT-}d{phDee
zj>X2e?d%K<eoGY2HGt+rPn|mT=+kNae)D@3$;Z_f?*H{_bzo%V&c{0>jniC0LqkCm
z=4?C?0)m3>^0g&0l}{!XUI}z}1&s$D?Gg=)jFe<%=j%DGzuzWapOb-sE67n~LPy8#
z{Qb6dKMu<uJJibk_-^_A-iL?Vk6&8qoqT6Up>^L$=wRgeD=UMOUtU`J@q}{!k!iZo
zi?(brS>`)iEIg+0s9by#D+9xunN6As@jniUKic(rUH9vCyYr?W4+#r1vsM-oG%S90
zW`<>PT68}<1A|NBXu}>l3JY%7+y61p+x=z}XeJRfUUy?-^5cu{@^=^S{rdH5;lH2H
z-S6+KUF_a3R|uLJTot<dRz(s6!;2cOWesymuSFWBpPK`!5*{y`o!7N4b~ktcVde69
zx8Cl{F_Q)rH`ed>7=vmf&<OM6wcGD?frb<2|NFAs<ua(O3J_p@V!r>U@14@?v4wB9
zUO%?=dYtt0dDVF~-)<y>Iu1L&T=Fj8jTlhSi4d^=aghI!_5GiIHvfJ+zPQwT`i@Vh
zw1xLJom;(Ym(_jcl8jHMr^096Pxt;gF~3Pe0o0KNIk58i-0jJ0qqpaMe4Afy4Vr$r
zv7_*@-giCd+7^qSPbQbInL1^POJ!x{o%;WOH`f0CW;S>4=Fj{u?wmlM)yGwUZOXd3
zO2V=zrTgo}#qP(a=|(5Ly|s0%wGIPANfK+ILsnMSqAgpt9IeXC%uLyQ^Tw9U%g=8~
z3+}$l&A?D&#v14#B_*{edV8MkweR<;-^-q_pSSmBPTBTqMuvv-%fKT#$c>lReb4RB
z-}6!1e0%TwDU+|R4zIs9@pkX_dsW)6UcLJC?eqUX&+U)PmfxAUeSUmUkWlTfFF)`6
ze)|3A=imGP=gIYT)ciI7^1S0jc-?xJBhUYX7GOYEE<BkQzpvJ4dwkGyg=mI<|K9(%
ztG<!gzBQu$&Bo)KX8Nf8zTnLNw&?wZh0dENtNZ6|tb4t7ds=r_*QWX(hvmz5mOnhy
zdb8sL47^C`Z{-%R+gHD1l5U5wg0fpr2dFN3c6RpcyB*;13AM?cg34}h%HCtl!RURj
z`};Z`r2p6g$L6x?Wh@L0hb~;WAOIRY04-AbDYx|Ssg%t(bN02LxSC)0dA5XgSq`{=
z^1k+cwcy8(>Wk&;emn$qtbTx&@N{&nSi83O*RNj^MkyX8FE6PoDZShG``wBaD>^{a
za(<Rir*w3zSiKrlH61<DDg3#rlAD1+WLA@gf}r5?xn)sz%J0{HT>t;qdc%|x6L!4a
zcKgxJ=kvPb|Go-0%)7IrqXRsDxN4P_S<VdsW;ULVj*ex^mRUTTk^JbWczn<M`v1Q{
zqgtPzo$Us-*y?`YzJKh(Lg&vvH-S2CpkXmV!R`0!s{edwx9@4?7C*N8{XXf#?fm^q
zy{EqewUuZ3sC9MC+W#>e=RA$qPX>mDurPyk2L^_QZ|fE8kS2;}Htl3@`Ii6n)m2cz
z{QCO({_^{^=Kp@Z+V7(#+;96WV&1as|4*jx26gU!eR;Y0^!BrP85teh?^R_VpB-{x
z4m^7;wk>39QOVo?_nXC|4&|hGcXodKbXwm%I5;?E^UbvWWy_Y;^xw=oxxQ4U<borp
zclhqpPj<Nq1wN}63tEIrb>NF+`oA5K6qp2BrSk~X_e?!K%@wlps^H0WE4#P0=Afy~
zM{_^@ut(D3!l>8@s``J-5w)}aSz8AhSljdcUbXeUy5DcNKi+yhF1rxaEfp`nSD8L#
z+O%ad>+epE&jYV6a;w`C9qEzq<;BID@_!z%|CC#Nc+&mn<yS+)Q@gvmzP*@uGG){C
zm}1|3?s?%*4Lc{wznyBVpi=m_*W4{KGSX*`g<+rFuNO7_mmi*Z|JnLsi|``%ez}Qf
z(;i>)*6;1=>H?Jko0E-Z`n=hE-VQX;X7Osp;!h@-zf~aXf=>7T$yi?_py&yjUcR<A
zT0Hyux?X2~TN6-C8oR3`vkWxv3!2&W7v7ftDO)x?zP7aH^X&UQhxzSo?k_I!Kno4W
zW;R!~$v58`&h$~cwmyD-#-cvgy4=P4_JKN17Z;t`n2zwv&nIvBJdzH#@qRp|z5dO&
zhw|rltL?w``A+fqqn+yWKno#2OA9L=b*d{VEn2ru&(G@Rl8AjZm38bn&k?4)ZDnFA
zk@C0w8X{AC#t<|n4VucGRa@re>FIgp`t{@bbsxKJ{BG=nuY0n;C2YQM@)co!8$r+l
zi17GYQza!fJ{gJ0>i&Jn{kCT3CztYkI(>Hk-`o3-Dz?iAffl@h7o$Yy?Ob~E^Kseo
z7|_BG|I1tJ(Y()Z|HnW}OY70T-|xC}%%p$6-5&2!^XJ}U^E(C3pegpi*jQQ6gzG%@
z-1$$gTY<A({h#CYF5C0&CVhT(R(Ia}`}^y!T)XxxaZ{gT-Oh=S#By=o4wi0}b^Ct3
z+VTBf^<&WV_^es8DxS|Re>AuJUgxb_w|@NlzF*#Znoj3T<Me0MXUe?m)+U3-Ld$L*
zj0Y{_1g-LX=px&VlyL$bJRa@;|9k)AHJi_M$^ZXx{G)mOXLIXozrVee1`XJQ=C`^)
z?W2B3)F&VB>vioGd;4W4Xf#esTRZmLHfc2f&zdz$!Z_`W-h6rEw4UJoyA}6eEBtyj
z{5WU|0TjBRY~^y~^Lcyu?RSd2d!$UYKx=7!JmjyR@m%w^{?Dgw5I?)`p0wOQVfkc9
zn~H*OTQ2+Ee)<_y=#_nVaFA2|Rm79)RiHuUHyaWUZ<^_|>}K+b35qwLo}T`^dQX`@
z#DwY6KQG4pP;i<w!!$cArt;}jP-6l#pbb(x@nlNU-Cd=I>F4Imu&=L+sr`EOW3&7p
zh5L)Qd4I~T-T(XUdyxFaD_2CC+4=hd7rWKIYPbDVk4SYtmo-dqNls3#`F;C-->Oxs
zPJmj9Up`)~_x1G!<v&oEM(6J>J#KaOBtL_O2p5Ov-+$ltgNn~%+3WX;3Ch>^9bMu%
zIqAoThn4fzBu}`X{`qzM|6j##rS0o#wEZs`A|+R2Ru+v2S6A2hFE=&im`Ts{QInFE
zzFn}Y&l%y@c|R4LCjB}r|4)G5{!am@F|4EnD&#Ca9ua=rq1<=keS&PuAG_Jd<?C%A
zZ4}rNz;9<H1tx)(rGlo(Kqcvkw9RMVC7wtzD*W|w`ElLtcZ5I<+fO!`zg6rR76j}_
zo~i<BvVqnoy{~z0y|L=+s~fvYvvY25(+yi6Co3LP;0T)T(A)dv61eaM`TtzQ1Q$<F
zPtaV2m`=oo%g@i-d_EJgEhqBI)vKx?|Hr@nalHP|aerI2$tRDj-F|OY!mK`bB=7BD
zZ&BHne_t;7c;DTppFvH0(BL~HF<8}oT^+x5hvw#u8x28Cn~fU{e|>o=3|fE#sYj$C
z2}}NMr?G+xXoyF??nff12DPsJw`8(kSKi%Spe1W_D?phpHygB?wmbfh5@;!Bzs)BP
zP~GuUZlyCcH$HW%d(zD0G#ixvX4U?^7M<@}Sy{;=XJfJN_uco$CMY^9DS?tt;pemF
z$F<k*5d!sOLF=f0N^HM7F~084W&6Lu;B`JFFE7>fUs6Owbx;wfSni@FOO_m6c`wII
z8nnb3)CSbOrmVzg{bs|D7mNERoxL&dq`v*Xckln{fnp1^&KAjlAcqWLP`4!g7lX>I
z$?<hIpH3(T#>C8dZ)l|h35EE)C+=Qc9J!BHtzLKPJBRG7KevvZnQ2_U>mO(&2h^AW
zEg=F8%YF=zZAU6F3i&xMWY&CQ?5ofH|Mz?U!Dja3JD<;!em=K+-e&*Z3WyrTUqoQi
z&j-!?Ngp2_-B|bcSH<_c<&W3@f01f5^T$j7`dQ0g-m?G6$k6J*sMrabkp^|`_I|&2
z`zff_kdl@b_Pbhm0+edFI6VKnz5g$_=EFhukMaM%#)F2qK||*I++PJexxQ;&#iP!M
zT_u^Iz!Ve&HP>g@R2Iopzu5@RQ;@>*saxF^?nsXX)!*OUoSnBz^L}zk#HVc8+uL$a
z&nr5md2`XCMLBAdPrlp#|KH8O-|yScKAEz~)z$STs1<h;RG{Ba-WH8i&ZRsrS8>#q
z1}%WNe*JlM51)74+Q+X}ukQnmQt9pc@o2@$m7V4HD%I~*KA#I}<$)So8&ghBirp8?
z1MeF2e><WYq4M#Fu)m9|t1D<+9MoNXT0Mu)y>9K}1<ib*j*3fa>Qle@_P^h3PX77n
zDQK1PmgZ6cB)1%S-Z0_F#^Z9*pyfB~>%OioJfYZrq>)`t0#<ove$>2Q<5RbG@v>!V
z$9g0;pMHM4M^YHn9y!!$C5A{5)sKX9CV^Li6&{nkc;kjd{lCxiANSY)Nd_%4)0KNO
z=TFq}>HEGcjo4T7Q*VC#qfYfl-toVJb~Rc_AWYdk>HX}07cy-;l9O!zd^o&0``Vh5
z-!)_>{fRn$W~TAxnLcXPxwp2w@z&ov<?oBd{hNAwdvAi)R8${i6;A=R+&8D4J@tLY
z+i6J2F3`ba(T*J!)t}Fr!$Ny;zul>MrPm^@?|ogGeSO`{b+NnORfNv~t;4;2<Hn5l
zhPQPQZmNEyRx)XZL84QSthL#?z29zuv)uYpaCzJ=U$^7t?+5;~Of=j0<>x&=X~l-5
z^MRZIc=6Gl%I9+nzuzr?UOk1+vu^F`6)QBly1JAmpL9{1eDmY}o5n~{azIjGl7wAN
z#h%aStOJ9Cg>9?8bm-T<^tP@QUk+Nh0BuO!-j>^)d3o8<x7+W_-OMrT>azPM>jP@G
z8qKu$`{nZEY0-I|`ZW)^E9Y&gorFlp>gO6J91-9D<EVsHNk)&ny`5X1jAZTaZ@u^S
zR-0GXeC&=t0}j5Z<EhhQ#X>_vKhAw$qYf&Tqqpbv=HA|R^wrhX;B{-DM*Y(1akJ0^
zi-+Sv=9DQ@jyyRzIr(4{t931?Yt#d(xMO2uAEAcNBaq^p`}=H<^~vr&{Twtx2r8n4
z{H|;Suj>a@G4{8F(;YmrKxOJBZ++L=+FBD+)2$VCe|~(doU!Whg!nwr^!;Ie`ySAY
z&GPf}OD=g{TpMj}{`-9sS}It%QWLZg1hm;C=jNu=>BmjY%+%(9%y<o&8V1c7KRDR@
zc=!Fkc|4LvDoRSA7OnaHn&Lg5PH7ijk1cndZ&y3(ZE^kC<A|F4Z6}kHko~WV{g1k|
z*L8rR1hly&eO_f+O!?i?jrZ$*AKg>=S!wdgBmMP%9)s2|PJ17CTlMGGKL2}PRh6Rl
zynUixFZ%AyTMg0O{fL72*5q|R<r>aC1dVom`t<1sXp;$O#hZ%@sMP~rark=8=0~gJ
z|7QJp6~6xy|BKiO@vnD0>eAkGzm^Z#dBzGV8^7PHKJIINR|K@s0yKmPnqB0#{SpA$
vF{7jeTJH@S7Tfdh*K2Tkk!J|d_$UAJowM*hgAh&z1_lOCS3j3^P6<r_>80+T
literal 0
HcmV?d00001
diff --git a/Code/MonoMutliViewClassifiers/Results/poulet20160825-094521.png b/Code/MonoMutliViewClassifiers/Results/poulet20160825-094521.png
new file mode 100644
index 0000000000000000000000000000000000000000..02087ea26789d7585e49c3bde7bd02e62c4ae5d6
GIT binary patch
literal 11821
zcmeAS@N?(olHy`uVBq!ia0y~yU{+vYV2a>iV_;yIRn}C%z`(##?Bp53!NI{%!;#X#
zz`(#+;1OBOz`&mf!i+2ImuE6CC@^@sIEGZrd3(2Z!?n`J|NpO-x-hoNyqo2!soOct
zNag+3JvYyoDBgB5JZ4>X-EF(hr?l*?Fa0*(n7V$3-{o6pmo01F*b<$UGkb~2Y|+Z=
zeY4d|eQ!RPq12ht&@lhL{L`PV>}y=^Kd)W)`r`~s<4-?p_?~lW%)7qR?s{pI?`0E4
z1_q4<tM@ZAFf^P?Y+ztuI4YsQz~ErW#=*c4(8I{Yz#x)5DhvseTx*AEI+2ssty^c8
ze>-=3>@>aDT{pMhy?fX4*Ner*H9tP|NSSIapHt)&wl3zT|5FBr3;Wo<mLKqb>n#5(
z;M?8u`)B)l<?Z)<pFdqcex5U*rHZm!&xtoTH*ZcmJ1eH<<I$bZ=T&bid3lLP>dLqM
zt_%zTKDX=3{ysC`Z~4CN`|j;k{}y%Yow~I(yZHOv^7QMm<-U{NY`<S;`RRmm@zbf{
z&$e9l)1J!3z>vE>H~-+TT7TQGA!fO^wj3?y7S}s-Wo2;nara3wg+~Nu8YDVBJ3l{O
zOOS!V%IP-$g#ABf?>~7u?%O6FNh6i~%G1$B$7RdE%!}Tb<SJMD<)Yp84AqnWe!ri;
z``xb9DOwB+TlQ|-%bMLTTXv%Gxa{=gK1;R5?)~S^*L~Z3W~Q-vyIfU9-tM>C-fX=d
z_wwaS&q+P9*4xhi?w7STTOGFcR2#4KroZ2APd~@b(6H^wHs&V_n)yySvddoi{di^Y
z^0Zr9GH04(2A#8hzo+K+?fd6$ZOxvn(#+2P?(;wAHXhGOYhrg_V_;-x5cj;zH$nGi
za=-1TbLIPtugBNd&RTZz!b0cCDzC4ve_#A|SLy3XOTN$2joew3y6^Mc_bK1+me=2V
z&A^bspM8DZS!aIRDU188v=+Pfzk5H2apht*k4bwTiLO6keBNgA^7(bUzF%AYJn!hQ
zT3cINNz0-qpY48qocq2;U43rJCGTro3=VVG?R++CPQ|0nzjF;0O7AfIy#N32eNX@%
zZsR?@A@Q(L+L;-5>VChiT^GHpBvZ|Q-k&}8*Wc}aKkv!*|4e>!EIuwh@wWW?z3TVx
z-LAEI#(hoS_x-<j(Yg6Q?e=?o+Nk?)US70!uC0EacdqTz=&aW(S1#Qq_rG`lglV~@
z*CNwX-`&}%|LXitr>j>cUAY<@>>U*EuRHJe?uR?iGgmUsGW&WXx&NzW+4sBU=GJdE
zIDcMOzIXNa8z3i|Tff~B{P}eJzfIq7oHf6HXG_%DXWj9C9(}Isv3|E>vFD{bg~w&}
z<0?|;{WeuAH}U+OzHjei);;I1)%$N>yL8(;@$E~u&HJRg_3M=@LDBvHkHveO-d1(o
z`rgMy|L5q3`0Dxwhx>!bcz<21hoARPkGgHgRCI__J>|uPg_b`aG=KgyeZS5B&-VW(
z>({>YmNd(Wu={=U{I|IBe?On6A8cZ^{PW?karU(}Ya%zR6+b(3GOqgV)S1TV-|p)(
zFfiN-xXm}AeDCYno!@R{8<)SkWApRLWJ%*RpFZn%J8J$smOsBb{_m@MuaEUgPgnJx
z_T<gx^XDp`&z&w?c0)0Ex!>72mc@I1i83(kIdQA3VNT_<nU<f=82?|At?oBxhHJOj
z-XpFI3=X&J)k}U|?)k^}gW2@!6<GL!eAPMcd2q0|QL>w@t?5>kQn2K8=iden6`WVU
ziHG|lL_txq==skpSAwpqPeN78z|fGyBf!A0K!TZtfkERK10w@Nm!ZR`@Q@3Wmn#^H
zF1m^@UA<a+vYPL!;&r=sTf58GmbCH9&kJ1a_H;_H-^o)`wSO-ZVqmy+eZfCIjnto?
zp8kB3Za+Kma9i%jJBsZxlLVFBQog;p8M!&lS8v~sM|X<P+eYpx$z<bwHRHY-14D&p
z>6!Fv&*v2T@malCkaK5;VZZ&qA8F6^cD-1%CU&=3`Tg4Rvb&|%RZiCZemh;c-^M6B
zt}@ln`t6o~9&8K^+b#=kPpJL>`~LYut=z>gmrl?7_~%e7w{hvKEB8K5RB@LnbW!t}
zG2!Ru=hIKIFf?qt{*C#`&Gh+a+3kNE-1B|!`?Ig(|NpXk9=;}GqPu*p$?tc&^XC`;
ze!su|-LBW`gk~}@ToAnVPi&2T%|q_UZ8?$qzVCgX`?1E~-+xldn;RQz&-J2~`ums6
zWnj3#dFz+pgwWMtPlf0IaIyRMu|NIEiHXsB(%#<M>N)9PGy8W-^OO@4&aPu*VA$px
z%|D^P?#p6H)2xtlHlNR|jWaHJaY5zeudlCv&xziicQ@@i0|UeDWx4qWs~$A6e_E<v
zt2zJoo#&fsetuH%ylfJ=JulWQ=f;F~`8o^z>YJyl^7mG~3tMyl`sK@$Cn~%DyLfy3
zIjh%e-t75&Zno@f!(_L#Gc!Ia{mo)v(8#^Fr*fuw{=Ky0Ve8}W`kTI8oXdXV)6>(J
zO?>Ts9OQq-EdRq{{^#{|Usr?5tC*sbs-Ti6Z~xzKcGq=ccbQC9_y4z8KKtFBoj0rB
z?~R|5$H4Gv!%}^X`<2h<-b|lg`)lP2+bwSyZWf=nE&luU`ghBJ7yIi>K-IS1?l+tE
z{JOf{Z<5b!Gu`m`+R|zI@%MfQ?dcZRKUe$x?)2hwmdi8D85p)~-X^QC*sb@}#^Z9g
zpZ~bCv-on>)=z!qdlrAc@$>oo`K;VxPd*&xKffk&^QN@3vq05z_1mrCY3JrdZjfSN
zxD_33&sm!twf0(?y_|Vo45)SU@$vEJdp@5#J;$=xsPxs9KhNv`EuVg$m7zgA@U|V(
zCe!VAicX95`_Hj3>=x72ieYA8n7dS2o{^D(;aB@;b8(opl`mgoev)qgJ93%-{CT$D
zZYYD=4##>VCm-gs)-k_Vkvu<p_wL=rUoN_*|M>6_ltuk4pH5j5vvZUDDn^C{wY;z1
zH%z~DnBRWR@_AKS#_8wI=<R+p>HeQ*=0A^_@0*z1Z)+C+=aG2vt<2@Bp3?|6im&bW
z1vQGJ>(l;z+rHm6zy9}abL+BaGt<-F@BMyGb$ZMtYX|)0;`>qth6CF&Uq^4)w&ZHo
zQ_=MmuJbA$b>2(H-bB7H4=UlNfr_i=f1a7|KY43w_U5XuuWCNezJF$sYqwGIu^yF^
zU835bUM%iUyI=eL?dLjB;V7mX6=EgMz;G+foo7PvIZO5Mm_pY{OIEMezP!x$^wa6_
z^Hh*p#%N{abZ$0=2D7Vz%um*AK6mQlaryb8+F>dG{`|bTB{TTi`uO=Ok-N)sC#8IN
zaIp4X{)q{Sd#{7KCmY^cJ+f2~R`WR#eect>IVG1oe_q?ZZ>nkbwI?@{`+X<z$Xc0r
zR<WOak5p(X%Q60RJ}z4xbI#&%&z<`JfA?;Wvn|)Y_Wt$DmnTn5RQ~^Bv3&a6(y+37
zmCw)iot<I0_<N-q0|SrE=Vxb6@2UK3X1%TI>#Mp|newuh4)b=u&HDQ4YUSDNxXFge
z$DVw<o&Uc0?xm&P#+9F**#G)`cCNK~_4~cwyYF!_IQ+kPNqoxtJ)h6L*?ivaZ^#w7
zTffBC9G9zJbADs5wE44DtJj^nu+aJQuIqdCJdJX1ZMjqNxHocNP38MiSP}U0@^bOl
ztPBlh*RS<A%&GhJvhveO_2L%`+taScmY-Gbx0#f^ey^GR|DWfJPpVE&IWAl7Gigr!
zzn_sC5*+#L|9m(z%Tzo2+M1JdEQ>c?kE>37c4p?^-`xxh4Q7|FF+Z_=U+KT^)714(
z;{QF3|McT=KPZ8N3hkngN5#`mP0`$Yy;s^?&wHBA$(!l(=YBqCtq*EvFY}u_%d+@c
z#aC?xh6=&0Um0fF)&81a!+rHgr*Q3MM+Sz9&aGdIL2bQVpg40F?Pd?7F@{`g2T<h?
z>Q;d2bmN>G8{TZYooD&5MY!ny-|yddZo}0+1Xabi7yRR^So!C&{oi0v?^&k)&qq*4
zSg!KP#F)CDPeDzH&yVH*Tdc3X`+Abf>FN6C@wOhbZr@j8V9;2XYros>`J7^-{Cj)O
zvK{&I^77|4^F4~2)6bu~8XiAaW#@}U-J8nZ-nvu!{qD`u>#>tne!txw-)HmbL`>z=
zsg`fIT>iCGo`K<3;O%=&r4Jg}zg2!o`t##s<=@xw^Q+(Q-TwUs_SPggYx-T-#+;H}
z_jPrA>X#Q6Jtv83hdsIIE`N64?{~MK@A~`wzJ2-K((soy3=A3BvZfB84z*7FKAZQI
z=c^~F*xK59PTH7!{M*j5H#as$Zp{ic%efJ-MUa8vR^)M>3Gd#$0|j*D<=OY91p8U4
zdV+kRa`M5!=HD^)@YZ9jJI{ppzpuh)8l`%<^+-&t|GmB5d-YW>NNKpK?(Z+V_nY(X
z?t-*6V{h-{x>h`|=F>@;+AkMD<;myx|6k*OcJKeueXscZ-Kwv5)<*1KzkIp6vU}f|
zZ@2URyW1a&OrJY-Zuz~+&B?}TXHN7;8gJVu$I$Q(6yRrOo9Ay%ULC&v-SS!AE?#3!
z`TOhZOsmo?xrzskI&pg}*4MtxHn-k?T5osCnHh#V|9-pud(V4Vf%)?B8CZdNiHE^K
zcH0-$r`GTH82^5=+23AtYx}mntgk^Wbx@Ro(gnAe&WV4&-|s*AdYSL+Y0~+73{Owj
ze{Z|3;^U(`<@al6+SOLAjA3AS!IAr$;{>S8lFr+qcwDYJCv08J%<T1h%Qk;jpI4DI
z>B*nZ=g&8>au@x0*q(lEO(dve^6bpa$$P)u(l$;%_olswfgvM4*V>`(*X8-ku4X-L
zlg>NAYkud#^FPJRDR*`hMs7;+JZJa&&7AUkl{XXHWkIdTGc%2!`&a#AXJGiSJo`3d
z(P`c7e@<TagES(mII|fT8kY3VXJ%qxxN>~7KRnC^12SJTe)@9R|2e3)ckkb~?dexm
z1ipOr>eSWn_`OGQH6RNN85p)~-zKM^9lq{Nt9aauckkZ$%(Jmv8<yRDT{nK8O}k8y
zhg{8vgJ<U1TL1sR|9`^lyj`04)wgeNDtvtG&{g>0Yv%OWvXh|Z!1Vopp6-0yXT9lu
z-S6CwySnvuX@CX-@0Q=68(V(Y)DtBB^n`N%nW^D%GcWsDuT3#yVA!&DTOCWv@3-5}
zpN{|c$-e3?_Tp~;luibQ3xT()8vba8VeKo|tzcqk_;%$Z^OEJu)jf^M-rTTzeymS+
zcIfJ`)WdDOOE)txEYL0e!+>bpo#T}>O4$s`8o8H0GJ}TCJSTm9ef_)Tc6fp18@-?F
z+Wbd5qu0;dE&BTV*DqgEo}8F?v+noX`QM*gyk4_;)8}*6`DHoBdL(BWCLik-=VEXO
z#B96SJCxl_o!%p9thW7rUG@B8@9BDHpPZch|HXO3@^^RM?EQXE-&Kx*;ctp}e89fX
z=d3rMxBLAiII#M~kLV4PQf_U@-1+gC^yZqMpYA0iwa&gLOENHQnZB)_<;myy|7+%f
z+S!F4*XGx1|Nmb9f4a)g2kiDU9v*IgPN2X!Ud6zWp`UB-04jx2Pft_zj9MGEZvVeu
zG4+4HdQO_`Z)bV9o&Wrf!pECZPEMLr`|YOX`#qmG9p<x6d39ywOyl%(^0m;C=Qrag
z&`_uUuDnM_IwQAaT=WL_U(bSDWTS&}_(vqu0_xcr80znAN<F=)=;^6N^2J|XT&#Sm
z9Utj>{`1x=*B+mL_4EIl0}PA}r*xyY>8!7Pdt^=Y_t}f&%TG*@{rq|U{oBtcpZxdY
zW|ViX?Y}ki{-5U(VrF4jwY})+sr$7|mA;cYTkT%$jokij38({kUVYNj>TUOeqWkSv
zKmWhE=?DX317k|kq`kkbAANsubJwh>Nx!OIq|9sK8@w}AC*Iq9K4bjzguC4&PzhuG
zZbveo&4&YbYCfO+JC~J#A@?Z5&$+?=wx-kLsxtlTem;pQyO}C!k`d5n`E16WvfH_T
z=dv*{<Q``51kDQ7{CypN{>{zJ#?{~6%qhE-8M&vTu<Um3_L?7u<=?&E!<Z9S&;F-z
zR#jG(=c`vMSE{aDy?og;m-C-t%q8pQfdef=oXukrE4Nt6g$0h4@2l_MuFm=J;NZ{Q
z`+x8L^P%1T%%`WPe{alFSp8Oi9g&9Ze!tHe)bZSqc-YK(-~WHVzt3Z5VAwX7aT2Jo
zOFrKBwz%fajg6VJ)U?CaylB^AV92m%^O&?X`+6Fv6WhlxX|&|K4Fki5w`^a_9eCUL
zWM_d3x_x<fcisCO{ppUu&hPiC<9F?-`}Y6;t$lN!oc~+;&*<dV`e(oYJmR-|*L^i8
z`h558plJV}({5E|WvyI$y#6t0(&Xd!`yk=-pZ`a0ZGK*tyU*e8p{=u)W&W~Ww14m0
z-2BsBqS{60ZNKM~{i(kHJMP}EYulfJnln>0gMaP0zx8_D?8$ysD?`*67^d!cHY>a6
zQK$O1@?#B81ShCWR`)-*cKf|q%jZ>PZB}3O|Ao7~*XpaMo}8S#{YRa<Y-tFnHT!1Y
z?|0F)Q&<=pzHKafd&}m_1!v1wD;EE<PCf96!=vtZtpg}MfJWug=hv1^x?h+6#rFFh
z<K$yKC;96>G}q~YbUqNA@aNmpGSILus7dwn>iW8=ph3D*+Uw7NhE_lWkbmd0gA$6e
z!v4=^jL$zwmj4|Avj5Mo>-*0w@tpkWrGLFue(me%-`2bg47b|A<8+UIBhBm1YdP2b
z=w9{vv*G)HUA6h~p!w(5_4RY@_iSE&H7oVwqocCd7o|Vga^+fZuy?Ml>DDVZHs{>j
z)FWy9ta5+nyX1b`Y2o`mO_jY4mA>%LhUt*m?_1aRO*7x~kay>wPp3a0VCDynEc;$I
znZ4Kc_nXZaCQepaUv+hL(ciDv^S}PtzVGYWJ+DI7zdA8*RupLVtM%J+L4j>I)$M<t
z-1D(FA3XX}^(8~MiY*4>B9PO1Z9RY4Fnw+Z4fw8GR}^2rX65o_)4&Noqn?f9cFxf*
zQOoalidX-bpYN;NIj`{&bn*-|x#MYT>u>in1zb<b+yDFV7&M?g|22poQ+~Hp(z-0?
z_!rQmm%p!Wi5PQBu36@#C2Jx!F4}KA>B`kfFDmWe^E{y0pCJG9cXk#RA7m9*`T4fk
z&+f}Y{-@6Jzb=Ta&z+?<|KFG8*2|VJ11Hyon}67Sy7A@?0|W12&{_b6oXzro9<W>f
z`|)^l!oen)nhyt~zVPe-t6jNv`Lb!Vs_K3mmVdVGcAocTlb;{j?dM1ur=`5#`~BXV
zSz)WE&Mmv83F;+)W}N$8f+h~<&5C-V!^Uy@&5h*#vwy$epa1*aZhcTk^3$pCeMYx)
zx8F^>z9nicXjtpb3Nc&e<x96ggMI0-c`84zEVrAQd3jmtdE4(g-wfyb!{@o2ej7X7
zNZb8>Uv<>lYoFslW6uwo`O8AO=QUmqiuU)_1<w*DpP#lSZm-qhHs069J-@sWx}~!i
z8n%6!Jpa!UP_CG@(7D|VG_Ah5;^U)bnX{g4JT8~rXZ!8OvuV+JFK<8{)cWn&*DDMQ
zdO^iw<>%S==lp)Z-ySq6n|8lF<;#nUk$bC3*X?-J)%OPK@r?R7)^72$lT^KnF8i84
zeb_GVHwn}&2XzVgtlw<t%e!b?08V01Ph0-~^VzuY(UCtd-0e@zGR^+<RKLD*^XK}n
z;q_BjuiLdsxf)c$EMF#O<xp?Wa`?dZy1&1k-F;tIe);Ovt6QShrXA@JJli3tJS%MV
z)soUu)62_zv*%Slo7tC*YSEj_S<7w~9+#bczV=<Q?`4y-r>1Jp4qJV-S{uZfzVFM@
zv=<i^%HD+MsXI+a&3=R8;`RFdpgz4{RaModtgEZmL~YgTxB298&i4BqotPaPzLy@e
zUg>)NKqfe`fD6Qp>Ym%~*Zn@5H~*(IXy{-=;$f>zu;j=5<vUZ-gWI*=@6MiSoSygf
z&&uWVZh?XbBa2=(@h!d*=x&-{b$RxzWiNkEeY1RC)vBAh+wabL+-JQG9x}J)yF1)S
zv$eIge9*wWt?FL`Gv5j2ew#~$x>am`$l3K|zWh{Bzt=eR)D)elEgGJmF3<mG694bh
zbWj`f$;RVyr;pox+X#=$7Yu**Hc0&Vb|bm}S&OjWjaNT~{VW!ORsmS8L-X--%WiS~
zJT;#g7q&#LJ$vt1zx@3>Rj=2|-i3wdJsyE=H(AAFK=RMNT=vi3wR`vMUTJf)*=D&}
zAhz*2i^VTry~@(t^WhLi<o$F8ja?Ym|NHZ7*XwoJb)P2BH#u+jJ7@n^cp-UV9>|7c
zz0$LT{cX2?4~=KzmAb+sWwPRXXkyyAIX81|ZCUv^>I=^tM9!9~W?*XyyKLfHf1k~*
z`p5hK|K8szx$Fxni6-6O$M?_hxXfhF$!et~C^_uXecSv0|9y|Y@LRU(#X|j}llfP#
zfR+S+O0^O>W)=pv4eQpe+Y+_b{^ze{nU}J*Zpys8Y}<Qi26<t#PuNO-R`t7`>i7SB
z+y422Gry{5+}Bm%PhTwVKPP?fLmOHa`L+A`wCKFbllI5vFJ1;}Q|zkB%38?$_4e8L
zExo0$ubG1C#P_!6!Fl;^+3m0Qglj*YR5u5$%h-Wdy2v#&9$-kEeRh`V>ddWCXMf-S
z|8Lpu-MepYNOay@`1lxzU3vfaJy7YCc5O{0Mv7!M5UAkexSjLm#YIqtUbpMjD&2YZ
zKc7tAoN;jxs2#Z&J%A@Y$^ZW?|NjfqwPD)vKTm~oU4g8h00q_-`}2&6vvY53P-K^@
zco248zUIThoe$fjF%p-$CupYgYh}^LWxlg7UA{coceYvTnHh#RGndarWURlXU&|So
z?+3cePJLhV+&bF!zx@A?@|Cx5-@As96Ffg%aOQt1zW>M3wEWZ4bWi8keVz?&4%*dJ
zi0Q}OnFy+NuLTElzdf%T@#kjP+NiBJ`{k?OZ1kCLXIuSdqx-%8|GuaH`SH<n5~xI+
z|NqbP&)xBVl;Z#Yy8ijr^?lpcMx&*)xQ_38-`7_Dc-UTi+1LDQxz{96Jc8Sft&Qgy
z9-iN}^g3VtyZFUxW#7Mgb?R8J^zB{fd8~EEqb}{DcRQb_ot<U+ckU!`RSPyJ@xf;q
zfqyyj|9>3+za~HKOVFy7suw@kpfpaG?3*Y4X!rfUd1ZGBkN-ROA~e|FSJyMv)^w}E
zhe{R}hFd3C#bY)cee7@Z(PiKNzwe))vwnZZ{@-K!XU6k?`Wy$ZK=Jq0-D1zo!f?wY
z{Q9)`cu?UBDh`TnWiEfZ_kC^tM)#tuSJ0FWY6IwZEuUX!b^pgP^G^?&`JY|i|F87l
zhxpZDtEYmBVa)UuV9nf;3mQZN4ainL>QvuW<-7Xosb#*ityZCh277{nfy0fo`k&M5
zXM!yG|7-pKS<HME3i{PIPj7i4833scLG_~Pw?F$p>r<A^&N~Ha!>NGEP@~jSQ)J3+
zB+A~06;a2eZn!zO^W}o(ga4h&n6+%(v}NEx%$x;^D;W8!YSyyMYwP3h@A-ZAecrBJ
zyFgV>kA&eONy8+U%UN4zty{Maw6N-|@p+reNC~OjDSfu@EE7%82<7`8mC~&$Rr6pm
z09)NMS!MpOE6YKxvgdP(&w2X$`-iQKnhKh{pXe@ka_94Tvs<~v^S+Aq-`a~>pX~m6
zEqeCG<l|=cKTrDqvR=As+Omtr0a3G-fx00ua^JjVnX~Se-`_javiMop`T13^R-Vn<
z{q`D?Bh8gkX3Lh{NZk45l6Ub1NA}c5M>;EyYR64{yX|(~=Ip4oVf%ib&BthS_)q%s
z<;#->X1*J*euCoQdTe>D`!{IwZHql~OYXPc{2FETxg|knxwoc(svOWr=lpE1y?GVB
z==GGRQQn;$pz6c&agXt~in^1NR3**xV&DdrH2kaMXlu;>^W)>$dDZW3{`vFV{{8zY
ztD<JPop;ED#S<jXz_F#b<3ZE1t68SY=hszTzI*p>&Yc|_LGybc_MF0FlD^^L;l&SI
z#miElttd!S3)F@D{PTSMzWv6tmaSa9H1mti{8`w-6jYCai{aJcyiz7BK%L6>tEJD*
zvD^%@1@7)G_S+LSp8a+^f4@%jwlz2!vhn_ta<<<s+xh8~cJa5H>CbQ9|MxBJ{`rS9
zlKW0B@tkb64Hof#D<$K$-2_c<zFxOm@ALEX;2;pPWnK#Dj6zC>UsZMS;o;%CcI~>9
zwe?cg)~f%J{;}Y!;q?2{+zU6;Cad|LS{1q)RIDZ*ZcDwhqcFNgbOxx&EPEBL7Xn`F
zcmCz_`SU<y>6x?CVq^FJje5NKyxr`u)l-H2Z45yXyZJDmbx907Ad9)hZs$BXF%dLh
z9rt<G^)KaKp%|TkT3gRg6Z>maK#MQ#ec$)}DQL9^sNJz8YOT$O1I#<$Y&!j^Rli0N
zG!?LPdfcr-L;<a=z;MCMtzT}gX7I8nt5&bO_2?&Pl&V`y_tdGW+Scn3;l;<nuw^2z
zwAqsb%=~v={cPs9vye8=dxO&Hi8GNl%kd~LFArNEH#dEL?Y8qjo%wCID5I9=x2iyM
z^y%{|)&Bo`|9{`n&!8H|xZ=ZuB>y?<LA@YQJ8&WMm&>RBUve|cy>$gNY>?N+D}Ak`
zv^4kY+RNzm<g8_xphl4AWHr<GRo8dVnw`IIXXT59?X%kDs#g4bSHA!DpRe)%OE+JS
zt2VuR_wL!p{r3BAMytbmNZ>41_OMmlY;D+TP_CJky>90+P#tgo|FgY0Xxe}F$;s;G
z`8AKFXM>ivVidiXO?)qBZLPZhuYe=>?GJCuNl4{*-od2Vz4G>Up!G=WcE8(Y^Y6!F
z@Zy_&KcDS+s+)fjw2HHt&q@Q-6Sw<3^Lz<<pTvJs&8NxpYaH)ye<(cv#}V&<U{C`9
zT=`sJ{8i0p_<>i>X2;G)UD~sjWzI6qzGkvEZ1v8U%Vt-dk1sl@dUi+QV~kb-dxFA`
b{|tRoUE6N2d3=C@fq}u()z4*}Q$iB})M|4c
literal 0
HcmV?d00001
diff --git a/Code/MonoMutliViewClassifiers/Results/poulet20160825-104326.png b/Code/MonoMutliViewClassifiers/Results/poulet20160825-104326.png
new file mode 100644
index 0000000000000000000000000000000000000000..be1b30d82c05e29366ed58de2977a47fb912a646
GIT binary patch
literal 23995
zcmeAS@N?(olHy`uVBq!ia0y~yU{+vYV2a>iV_;yIRn}C%z`(##?Bp53!NI{%!;#X#
zz`(#+;1OBOz`&mf!i+2ImuE6CC@^@sIEGZrd2_cqW=iV6{~y2eXswW$(%iaWp;}ki
zCYdWilT7?u+Yk9%x^m`JsqXYO_t$NkdNrzU@>#y<Y0ui`YM7pN&Xzm9M(0{^YLZ-(
z>cnYoLWYi<>+j3!ZuT=?QL*EA+x5>MUj)W}FFjxLt~xL6neF$|`0ZyUl35rS7#PGh
zRPP4S3|rY5K>`h_910-5jxz%z0|P^XBohaSds@H&L`AeQFflMN957-L0CA@&Hh`!N
zJi|__eERm=SNB$z=TCq5IVd<db^GppOV`Ej4lCOo+i&;lMW+3^CnqPTZomEYqPzUu
z*Fv!stHkH6jo9cE9$Pw9$~;eJ_uX~U`Fk$jR;`@7{a$!dQqq-8sotmOe-H8dwtZjW
zW4EtwZUzeq3U0dn*2}|Vf=aK9Wl-7f*q=XthE3<LkezS$!*`}pYS){x-EYcvm%Y35
z@@-L_aE{sR9JATmPk*Sq`u6#(cmIpOR?U5Ny7z3_YE#CP_xJX0y8TwlH0z4wTI+%b
z4sY-74&Q#iZnv8Myfuo>ZFAbS3a#{>d^hs1-@SC{(p~R%z21^|m@PFWCF9eRlfVAH
zuaD2IU$AY(<F`x=vu4;<Z+la=yT@>rY4)^vHJ?25r<WW&efo58GaK)oShuxTRtBp-
zefm_>#^%na=XO`8&%Pd4?d#qrvvI?s`^!RChrN7padFkFmCH*$pEa-EEfcd~)$i!@
zXU|^cxBs(1eO`rA{jbaOW2X7ewF(th_X`OLnKE@LlX%OmkDtYB4t;uhdTaW5xn2oF
zC-K;liO<f=Ts*)2-_6^pu^*C>lSO4^-@Y}<TH4USaP-(QEfbR~pPri?n^RI*QnDo}
zIaznrvE6=K_5GGDSl}>8L{hSH-Kj?YRqyimE?D4THv8=3kHr^V#Wl^$!s_bk!lrV@
z7;q^3I6K2Mds>d!>~}jJ^YO}Bh48gIbBpV(+4leA<Ktf+b?dLnzP>K&%8H3nCK(H^
zt&M)&XZ`NNySuy3uXum5ZEJ`*n}w-qXkA_1sue3PEbg~kwJrCymV&|oOPMDZ7CO%|
z%bivA<;B9Zv$Ia#zaQ^A%j9AMBlDM=>GMN(*WR!B-0RjWwNy+uN<%@x0p#0t`+jBZ
z{qd+<@9!$<)v=M0E5+j~9K+)(mpVB)UD=T6tg52&;^*`E-+#2`etdNF)y2i_v&?c=
zH8e1|y1HtbnuZ#uomsK%SiE)Fn;Fae=C0CSx5J57+APGwqXT5}+1cjj*S_yOoc8VA
z-PMZDZ5m2SPG4VN4=*a(bg%mT-pf_z{{H@c`uutS&d$!O-(KF{zWz<w?rpiZpXHoB
zckbE($L1@mLbXjZE;uMED!#h4b@jc9$Gw;D-3#vJet&s+e^Ya_sF2X2dA8N_zI?6w
zez&~z_1f*Ld}o_+@$iHsBrKRTY0{TF#pieKjVs$7yMEuVRXv7Xot=ez(Kdx|YD%v+
zNF;v&g?94sJ}xe<poD}4R%LHih{xAld|Vh<S|e*w;81?Aa{1>UJKk(MJ!S6P+FQT9
zChhz6N;@?r#iIYEn(r(PL&LzCGiR<^v!>)_^{(UZmHTZLP1B7&m9|;a+WPiR{Z-!r
zOIOA1J~>(aw8Y~(@pW}|de@)7xwX~%a65l^Ny(N!fB%Y#iY^sYcFVZFE;g^f^3hk@
z{Cz){S(U$AvtYr3%lno+JT6~<<w&RS)pfDfpm6AwGQG6*dfe)%+Tpvt+TMS!9eVEQ
zYrVgpT>s9ieixXNvj&uAHf%5`eRajN{_pE}|DEq<=Dglj`ufWHcze_AYd(yOj9ooF
zSEh!?z5KR4DkNmd?{~ZXb8l}8O-NWEWuCWYTkh>w+ivGwo@ZM<=WpHL?QviKnHD|q
zkW8L4UsheNT>ZDr&p)5fn`T^4aCLJ#b^m_++1cjTXBZ}jL`1x}_B~|2;epl;#fTri
z8d_SHCaHQ~S>`MKy#3q#f8Wf{&an(Ozgsdn`hQm!S8V;?uTfjGrp_|YU$@Y?UCY8E
zqWasLi@V?NTRmlp$kwc@tB%#4PdSqp`v1$9lH3~`9BY4nyUJ^RXMvjUERSEQ9arN2
zeG)Hyea$yBGc)VXj*Xu_f8JX0F-bRin~(Q&z0mb>dt>B2@BM!7@`HoTrEhK+etmh_
zefyoFZaz7i75e*rI9*=mdwGUovR~BY^Y;JOY}sP6He#bw?(J<?FD!Hx6%bg!Z}-EY
z{C@5BqT*uH^m8)l|7RMfXPud0*wxb$^8epoQ8~GFixw%>{(L(9)VXtIeVKMMySli(
zzPjoyU;Aa^qeqWS^6ps3S{Au{et!P?S@ZjA^!NQZ^mux&ZS}Vm$;bP$uCAKe#xK9_
z(W9ijf4|+9vM5*(wl->M-rZeuzf{gP%Uw0kwmR$Ssj0tyy<UHHUv2gDr}yjs?*%D&
z@+4(z_Vsf&?aJOn#FpJmeRXZ^Y$avo(gz0^|9+nT|H|6!_g2YTm%W(iE@%1FEd2Rp
zfBVq$^K3%{0~dbzQnEGcs#o;3oWQKCtgYhT{N`8$*45R$y0dfhqD6~Bf`S&AW?#$r
z^W)>K4T;UCUz=8bO3{tk5fESZbLp{u`SotSQl67O-w*nF{L_ZS!&4?tUi|FrY*5)W
z;cVLFL#^DVWp5&CKb=&sdb{=dookjA9~SH?d8t%iUw^mcvaeOumle;>&R!n4*zM%`
z^ZwiKRlU~yelk41cB$W7tCM-#SJ(glmvwPbE1#^@lGxp4na6r0XBnk-6>B8=_TA53
zx6@5kRkiBZ%jKf-^6ML!*{$Xq+u7~ARh5*KWK#JlrS`|e_Nd)uYu$Pz7S5O<@!ZJs
z*Y*AXmS(Tt8)pCa%j93*->)xwdn@zzx3^V)zh2*(aZzb)+}>NNKf>OAUb9ALZPZq;
zzrVf)e}8v3G$^R()ZfYT=daJZyGzsFK3-E(^VRL`>+62KRM(B&6;k`_%f&M@jZ1&O
z-ERFm`s2PLy|{8uP;ga!f48=oo&VLV)$7Bms&@6sST4%Fz3t^hce#u4|2|Ehye|H7
zZtefS-=|KSwrs)#fv@lH#|H)mYU$~P#l_7_J2PWpyIhsWq>!+%Wvkci^7{Yp`~It&
z)BQopj!A&()oyY9Yrf`ppV)}itqol4Hp`}R)3%(Oi(I?KG7mH`o_oCZ)%~k~dH+3@
z|9>I2{4S`n0_i<F%k=WOxz?uD-*R*#H@VEO|F`pW<lErdV+`Ud%zxNyJ{}Q1mbQ83
z|KI!n7jIKlRh6{2x8Gd-J#YIzVRb(fv)N~PWGpVoSeKniy}2>@c+cU77K`^OyZ4!t
z?Y{fw?(XYvE$#n&a8BNQ^Ne!8&7({6X3fgVF`NDJ!op@vJ-xE%_ZJpAKReLKocETM
zm33L><z>racbDnC<!e98!p<&TUthmD@2*w<>$xY=HqXpnxAWN2w-4Lp&CF(>?UA>?
zCu3iC=VslXABDxg-)@)QeK$``KkiMAzmJazBO{~U??qk9Z`oG<`FOndY?^UqX6CX@
zn=ak_cbMOP#*7&f$=h$A{q^<r+_%-=-WZzAK6~SB+2<R{{X1>0eR>LNycl1Pum78A
zTkhxAxAA7qvwy$emq&klGTC2h_uagC_5UiTf6L$h_uATgSJ&2;7Z<m$3|~L*=KlKq
zr#D@>5|X_AcI>TH)@rx5WG25U+a0+nrPKTO=JR&1?>yU@eSO|0x#S*6!=#ptx8JIn
zn_pl0H|2O%>DPTfpUnmZ^pYhi#ZOKMrvIL(?Cuj3Gzp|iUHy3K+*MWY_k8x7o}77m
zTkbNyxmL?+e}9vk|Npw0&x{9!^Cgnc9BgKf{kMPF@%*bBOK#_GpBtvD4oU;ZuOF63
zzO^m)b>aLobFHu6$T1TZ7k~aO!ff_g7B;q7`ulz?aw{!)eeLXzpFd~rEPlRg%k(Kz
zX8ib3ae09wb8tw=lbr33YM;jJd3U@|w)o%Q{a>#|FR!^bV}``#MXub_x6R6X-D`d?
z<4xJ_pRZQ0zjMv<W8pNN$fO*z*)t6io1*u3b#WE{_>lPgfB5(9^XAUYeN(o3rg3`T
z?c|DI(swr|gF~*fx7W0_wN>x$^)->nfByVA(`$b3#ihDc=OrFExiB2ecUm2`)@QC&
zY0SPafB(L(H#eJo_Rr7r^<^)kBO^1VOtVs?%yM3QWBZqF`ZD{>O!f({_C?G+W&8aO
zDD;26+x>n{Ze(O6C~(i5Idi$HC!T%6<Kz9aH*7Gtyd^Vux<bIy2M3#v<!zrmJAdEJ
zo6}~@$Y5e-KHG2qFXD0TilUcGr%Qp-eDZO=?Wvp7&x2Cmox0y|&uv?!->Vz7rQl~%
z@Y6}&dWM36g3G_&Nli^%7P#0Al$P`QK?U>U_wVa(Ic6PfVg*@oJ+Auf(!V9lC)DTH
zJTerK`h5Ch#mlAB!+y73pWG{LE;ak?GqFqOR2pKc-);q|4_zI$^K1Oxs;wJu<}7pX
zm(zP28o$EZ+xzadm)F+L-gx`%v*q*ate%#Iuuhn&9X@Z%{h2cRpDQ<n?Cp!)UG{ZH
zoR?SE#@lc8;-9T%>R7J7Mg8+p@py^ZXVcjD<=zzjT;$r_b2rc2IPHwZ+T+&Y@3o&l
zDy@G$x4h?Unz8wvg2S1%>z6YW8O_^fYHNG<#@n*Z#m~=8UKcIuAXo9AG1%_>PA-M|
zKab^m@8+5R|MT45*6uv7`JIGU*Veuksyp}0nC*jDTf)Pp?Nwj1YJb1o4k{&2x7L8_
zST&y+3*NlR`TKQ!eQDf@?X|zlrcRl%qWJl_T|XXm`~SLO`m%c4q{)+4$9_AhKL5qc
z^m!N4=hrS<v`9(Ty6nu(GijSwE?97&^3>nY=k2GTO$(lHS9@+npR9G+iXA&5Hg4Ql
z^=9MoJJY0-L-yCzK7IPs@^%}a>?%+z=IyPmmnSGXUs)S%Ui$LV(=F-cRy991l)b;V
z_Qi{gt$BBE<yKzZu=wn3^WD1L{r%r9d=^G-PE(gXUAL&Afq_@fCPIJzpH0*B<KNvW
zpKX?VX<P2?Df8yNEBpAO{C@57mBGui&dxGDb^d&KWaP}^$g9~!YG%2&R6KY6dbRrQ
zw3~0sO5ffJy<hix?d?sE9wpiSd@?y|Th7dVf4@cl{c_p=`I33Ux%c)&mhHa#c*C~5
zySq-FKY#vl_LW_w*{p1AySAEVU-P-7e_d}*mfE)2`THWz+kEa}<B?e4*v$6wR`&YP
z>3Xqu*7aLVe*C>=MV0LOozJBDPwy^&zs}$8r^{^f{IKimV&}d!oBejld)9et;`hf*
z3JD5&RQMu3FmPgzVczYUefPu99ew@pX8QcOSAR!Not5+Y!b0b*1rMD{-`of^zhAR?
z-OguHr7tfX%{5yEs`|9Fyn>heT|L$-U3$0l`bzKVdR_hf_W8jP;d_^ZYTHw1&z45V
zg@i0Qb;|4Qjg8Lxf8Tu{Gwte^9ZY*V8Jf87otbHzy7{I_(h-j7-;VW4ua4he7quaw
zQA{`L$sWra2b<YdUv61uw#M`R=F*F<;*~k^I|>%&?Ru$pb$xuiZS}X1)nRKvy^ou3
z%W6LyWdHSIaev8|7Z;1eJ~uM6t9V+Mzq5JC`^oQ5)9jfuS9Wx8?EP?vyXxJ}=U>hk
zpZECnl)38GmQ3}%2cjnx_f(e}bB1mW&%NF0w<qtROX;gC7e78e?*D6#x|C(nlC-n4
zmRc4+v)KP8B|W{`X4}8N@9VWKEhAM`RlPht1K;1<D=H+UWN&Z(_U2~y;%8?HD}A#T
zEm`7XHhb-@#|MK2^fWaCgMuc3x;K5Y)>%h71i5&5L+4tRmV9{NX#4le<@A{I>*p_j
zRak%a{CWR}4<G(|*e-u(+T1s$lb)0@?o>Z{^5m}{kNZtiPl@dPe9juwJW1^doNbo-
z<-=iq>-T#L)sDaa8SvF=-kTX_$0}@=W&cWcziPHVX6L2Htj{m$$8Yk#lcs$S6t{JH
z_nNbJtu?<>&^%2qcGdpBZ}Y33P7OCHe&!>YJY~j=6`*eL^|<P_Dw-M^9-yXxT-}dE
z-MBpw+F@%Z7`i=t_)yBaY|Xz<)Av{WiMEsuU0)g&7PhrE$80vAyxp5?ad)e^3KW$Z
z9yC2Gu-KAuQOWbt1Vv|?dkkmNHfKINGxHon(AR|(R{J@wFIlhhe0|)!W&gi^aeZ83
z^W#DDr|;jdAM2IAyUg|O{`&p5WjFe-`FUMDWPaa-2?Cz`YdFr&xBtK8y0lr&j5c2B
zWzOw<FE9JsUj?-(tH0%dn(nu^=Z8l`+|Zo=`S<(%-*@cEN}Il_?)l-V;c+Xkt&Pt9
z_~@ur$%_e~zR&i1Ro)LDJ_Hp<-uFR)@ayAo`Kfc~zAaOH8=b$m)NS*h5Kd0ciH2_f
zf1a<m(fhuoACv}ctG|KT%om&a?Otqpv-!N;<;(u|wa32x*|qJ_qomNVuwA~qQIV0F
z?S~gWc<`Y3Q_Q@QS64i{#r4BnU0coa?yUHJzdruF?e{sL!br_`){5%y@6v1j%*zg4
z|M+BI=Ipc2KF(P8(nTz^|Kl0s^BH$`6fWP|clEt?`l@B`56-(%61_A&ZQtwL+t;5u
zb?VE{=kv2)URql9uvHw?Z3C4Xxwp4X{c>7GY;)S#OKT!GPnkY_xoP$_P|y7O;(j}=
z<TH`JZVx@LX4k&BplF(N<HH;~vjW9LskoR6n>KF-b%0dW)Uv+3xG49Zlb`?ks?gP2
z%HPL%2HoD4dv!&iGN>POwa#)y(ByrW^wVRP#J4^Fb8G*<uj`F>t$zFN?ru=;b34CZ
za?iE3(a*2#FMfW`=vc<hO{u1JdN1p5{{fXM*Yv0C7n6}$V^{m@#nS0<mrhJn4vmR<
z^O5<VOJidrsKdj>#dT+y!?Y!)+1ETSX`Wv)XRV;J+loDVV)FO@-FC0~y{)ATXf))?
z+tX#Cy`c-gxyaZ3co=ziuZ5zb<0bveW&du0hDSagm*2hh{k^@>pd46bv+~xmS$mFw
zN}rNHKMMQTKfkp#J2Wz~@?N~M=c?%K>p(r}latk7&rF{;(eT($=OZ&^_NQ;s_gk9v
z!@KnN{#P^BRqZ|R_Wayj)sv5ZJC?4gi?<AZ{-`p0*IM;e@%#4$1qV-^I(4b%WVM$!
zHYQ)aCL}Jt-2Tr){-}*ftxMvU9kaW>D(-dg-sMdDOIZYBF2vRSOud<7c6NrLvvK;l
zFF($M+TxFo_rHERJ$~Ak(~(^plaIeTF;Q8{IIZV&M8eDIFB4?>+<Sj}1s(5`om-x0
ze-YFpN}pf*t!JB|nwpz+`MVNs2Y&lM8;%#gQFiMIC@9#Fc4o%IkB7g8>{t2q^XJQV
zyWd~?_xE?{_q*k*_w2c|_Wbwz_3uC3xmtU2)i2TiCGWP_WnIybwXci$e!qVI=?kFr
zdt9#C$85Im_Pb@bHRYe@@W|W6n9cTGzwg(oxZ1Cw{fE~t`R}{=*Xy@&`)YQkou5}5
zW*Sp^H8kt;vR=DiFO+rT_S{IlS$y91x#5DNM~<A3cpP^A+1c5qrLRKz8&|yQnX<f^
zCnWvKia?`d8IO*1>RsP6W$M(I=j;D%&M}*PI%NIxOTWIpUTrJ3^uKI!deI-VygLzQ
zv)8))eiX8+<mDo>+*>am_uF5ye!u7OrksC&eu4_etIK?)r@yv87m}2;C@3gsOTs~>
zy`N5L%l*!|yX$Id#T;-pir-(?)!BLR(b4X&*P`?1Ui^HmB>MW==;ww#|9(Z>-j+MN
ztE+3(+j6^e0X@>@ex<Lj1g51e0}XR-+p}oVp~w9q2l9EHHxwNF_2Dr8*5u=Sr7tc#
zT(W=Hy}I9TK^@V!%BP~XpH3)my8X85$HVrivuCeX^`53-W)_y2nF$&_s;k=<wk~Gn
znl(DS@^&$kvaXaLXkg5`yK8GvQPG#X<@Z+xFZVlj{`~btuH7aD4;(<<e$#vB&Ybc2
z`|tby@S2)Emo8rp-JTZ<>Or46eLDF6zrR~kP6|!`mzbDX_4%xM>1AK@m$S0h1>WCR
zTY6M9{KbWZ&c8mL*58_c->yGC$^XlPX8u>F_4i-#*5A8C)q5JK0P5=M3JMIISoZGD
zN>DqY-~Qi@M~@z<{586xYG4pB*Sfr{PBLzL-rRp**Vk)WTHdrw`<3!;_j^0gC`z}O
zZcsa)Y{}iy>n~4CRGwv?Kd<h`L-xNf{p&A<hR23J{u?fQ@#4i@&t_$Bsrs6Ab!D*o
z^!U1+RwXYUT+4rRV<Wik$+)1vD`n#0JKOB)wYAY(Ykn5-%Gum_EWQ*x-dpwc)zU9t
zO72!X?%nm}lK0ls(_(8QH@ksGdVas(|Nc__j}H$)!<nGL2h;3pD@tEqyS1};IjDB~
z@};Ez>z5Z7ok8O`FD@>gI&a>(1q&2Rv#xm5|2QnaYOS`ivU9hX?xj7IpReqzt>%@n
z2r!%N`+nc=b>H6H41Q~HqWIxS_4!w3nPyL!G-(lNJk-D-Ain<Z)@i!Y%QkE<xLf&r
z?zw%Ywsq2GIV=3;T4mndRVrncGvo8S%gk&%7gDFkmK`%aKhxNKZ`IdJpaC96X0{c%
zx3}HeSG!wGH)_d*2@@vYd$D2Jy_(OyUte5wUhLj~ZS#4%)qZoWRt7G1yR|)k{=Pq-
zylek{y&ko{Zm*J(l1k<C+NVBO)<%baes(ta{k^@Vr**f3iqfFx=jMjS#jOL4Cp7ch
z75q+oaXo9-+V6LY`?<Kdt}OKyKYHZIinzU1w{{dRzP2WEv6ya@MgPaC+TpMM{eFKP
zR7c*p5n-Bn$>sOAx0e^Wc0YOkeEIM9`~Pp*cClhdV|wYWEt!i!E&W}8zug9PYCsk4
z#*G_StymFISGVul+UVtKzO#1RF%kXYyQ%1u?&{nd8xDSXclS06JNxVf3luJ|4%gqD
zdRnZ%_VcGtKJV}C^-V}vz{$&Ny8T|&>YoqW<#pCcs7qOutN?Xr-q-*Ct@-=gtE;C$
zo$`0P-&@_*($+rv`MiC;Rq3mgrluyJgoFj4K4bE+p2FSb9=^Zc-QIqlN7Cp>OKa;)
zHeRV2eX`cG%J0`+ulez?9n_0*m#@9Dv_30q)yL1Dtuy}?KRaUxst>^CbaWWJeEBl%
z^|iI?d)W_e%e{T3Lr~eLq-4v-@88YE<7+m0`udvc@Bg#O+kW@myj|t*-+io%um4+G
z{C4a0SsOMOJbwQ^f6?N_zFuBkGp$Nj-Q1o(fAf8B{k<u9dp^2dUKOf+c|)SJu$Wky
zkdTm1SlG1FB@>nxeR&c1`G~OpjMMu2@0es<H~<Q#)$8}&+Vl6@?Y!FWZ*GFRu9Bu%
zQ;r|En)^5EuG#IkWsjdfPhaLgKQ4Fw*Vor)%h^`VxNsprSVkr%C@AR6qodu~U#!Bf
zUzbQW%e|HI>)YGxrsihff`Sb%udbf{^Udb-t7^}F{`Bcg10(YpSMk^sCT3>eprA=V
zkK6w%y!6+k_E*W}b+OjM0s;wd%66arvQ+(cy>Z$ZgOevuE=xSz2EuBZnk#Q<#`%}k
z^vYOX`tkE;sI};a&aibcnQpyOskgT0=YzW9AaieT%RMXq|A+hJ`Safw&b@3~*K3&e
z{oUPV_5c5=+1T6xYc+kfe(sz63p3*1-8QKCQ2^?R2d|H_1<}SeKMMLU`_6y0(eLSp
zhlihas?Rg<^z>BI&^Q4Kt1US<FD+TRbmsK<x|>h$=^m?iU%OOoef8A$`+lGM^N_#Z
zKsS1u$-jSKt4iM8x#=_4>gv*XAD^Dgo12#2{$+aeTIJ_wGo$l%9zAmG*sKK$6oiF@
zlJxffDf;}NnSa-v*Bbiz=Y3`v98^(PpRMLQYequ@18AtjxZ*>?^lCB5;J^2Otz7nS
zZJvGZ-CbAjl-<r%Q&T&}!oo6R!v=%mpHHXHHcUP?gWvAQfu-+f?h|Lamtwq(?cyKv
zl*`L}LGu%!;cUa?V=Fdo3ew;6p{c98d+O}juZ=`A932}UJ$`(3M`3cWynWo#rAt8t
zo8HbRLQkJPoA)_VkAZ=q;nt~i<`ZA9$FDzc|37AT+1sLXn?C;ieqY<nENpM}_iKA9
zKhLQ>-Y2^{Jiay*G?P=Tb>Qmi@YU((=gqP#Ugp*>_jYP7Xl}Ho_dMH#2@?dqzP)`t
zH>YHO-QO))SG8m<3Jz2*ym?eSe$ACDA=~$X#{54&J3H4n4y4Dz+RmE$+Qr50q5JD<
zw|`^fm3nbwWAd$CrK^|3KjYBX(h3R+niPG%Pu99>&ue{<YmFaoW?bSs+w9ky&F5p%
z=C4?>;==R!^?EPsgMWwKWjK5JZjQ1ts0p~HtBZ?U3p7JrGygo>gpJ9^vyS)4N||O&
z`Sj`2meSW@cdK5nJ@<3>>SsIF|JuHP|Nh&_EG#TLzJR8J3(9KBs+RA5x62z;bZyDJ
zY?6LX=4OtWs;cVC|9|)YU#=OvOvAt+VA7n!Tl(Z|UwxAZHQ({cWQzB%r)*iLr|XCN
z`1owCWnf@<V14S;sV(W}<-WeV8~yO%!+Uzq%}=H?cc|EYyOF%>{l4E{zFv>lR#9<z
zdwctJW_}w5&#vCysbBUl3=ehQ=ob<ZvEssofU9exuRngQAHOf=a2v0+|5auNh6hex
zf4yFx{o=yHdwP$}PcCQf_;NZYLj7KB<<nDByZZXVZg0y~_4J)>7V6^CVwQ8`!M41-
zymgNrKVDt?X2uK&&;2qDq2+gu{!d9u%lh@@<vqQ}O-J^vl>5D`>doxQ$^S$8YlCgS
z`F_1&KJV$%r<pf4B%XWUxWaNizk+(z@3-5xCLU(9{dy%>@9oQ%FRQ*@4G#?ncu*ui
zLDsq~<4_CdRlB&W8&>bwVWFy`GH3sx`o&I8PB-+gCftV@t0K@e9kv$W?8%MwtBxaV
z{_%I_=bH?h^6pyM{(7<a)z#J04;?zRrS5N4YI^$XU9Z<&w*7wR@ul)hOFU=U*MnNg
zbIYC1pE?C<F_;uR@pzvDN>dM-Ys?y4TwPcC&9ypp>Qqo>=E|ro84Hig*T>A9IdjwP
zSoQy1eSOz%ZOtxyzxR9Aqa&TG!q?Bcbm`KRsZ&GWew7EAk##Pe+2iyy-K{w{H(h=w
zFD@Rw_#agKJu}n$(<e@RDB~2@0f*7m<ok1EelM?jGyB!X{8h*I9sHSOtbR{R#&lEW
zWi?R$=kc-Lm?f+X3<2C9{=R=x$i@On$Ae<=!Az@rdJGJ8t3Q4I{ItMgPwcTu&<xYF
zv$Lyr^Ds2<D>g73kUVkzeE4j$LM?s!M{k49t!`*w`}J(LjS~mMgE?UN0t=b{yz=Y4
zyFQm$KKGn=>U8_bhXtTD6wg6xCC+)xS;CSp&d6{epG|xrGXnzykxM8tE3yUO-Qr<j
zV8~Z)xFU3Ct0V&hgE$kDhwj1H*^CSf1&Rs{SF9ky_YS+h0L6|D_LUsRmNTDN7rWae
z<%9reDiSnL91}A~uKJDP)TvW<e!0D`cK5F@FBdOZpwQadn)&0yL%aI@Ad3%3*OZB^
zsr~&;)6z1sSK9pA-SYcuFI)&%8^1pe)HyQCy|tv3Tik0B7Z(?(Id`mAI{Vd?m0G&G
zSGQzd29+^SpFLaUCp-VHD=5aF)_lADb@lpvtDM{UGXMVinss~IT9wQ%FD|ZHv*t?n
z`n}60O%iHtX~{S>MN>;#`|>p1Xc19SRZlNJzp(T3Y^TnhyY}K@_v&I}kWc47+U&f+
z%iCMk(|49hVdnlHkGfO0-ws_LXX|;XiIscGv}w<H<R@KO?9PAm*s-j4cXnPA1^MU-
zlby5!Xpu+H#T9{zzZ?~h&$z#@7L=#IKI+!b`t#!>sQ3Bp{r&Ze7AdK!s_tBSe`B(H
z?!7%Xxu=5SZr|zj_5@H_)^Gc5hFtxhLeMzQq?FA!zZ_uZe{s=WeyWP7n3&fjC1vHi
z*ZO;ULJA8vYH4YOY|o2*&Be~Zz)&;eJez=LS7&G7_Po0$85a~<+uB}%=1Zq&2A6z1
zDxUr3#>R6uH~jhg_wF@b4vq;bQ>RW91g*zuC_a+Td?Gr3?^5gcdxAl=)Vzlh76l8m
zw6(u3xBu%YDJcnZx(aAPM&9e`)2Dk++RP6M_07*WGo~Etk@WKLD3Ff3y1%~u>`Y_#
z+2;9W=lViTMP9qKwzhKd^4hN5EI)JROfF8&!pzerP6W8Q9gEBX)dhPr)z#fCEiLtO
zRaI5vRvjz<k;CxweEq-07cK;B|JK#TC7Jx?^LhK#nU|M!b#z>4<CVVi>*=#+T6T8-
zw#>`^_2s3Phlj=MS)dgA@WYqpPs@B~Pnj{}#nP^t=JV&8M5U!ypPg-<eSKZ5-doTV
z{GUI6N{)(#drZ1?`SRA1mqDT;A{M{b#O;l;E_-v~!NF$TwUP`B3?EAEs@a}^n%TeK
z?_a+zc6ZjD9fe%n+?OY*dT*)uS#-DXxGZSYTh(*2n(w7QKR-{MHEY$!$H!N1*%A^N
z8TsnM!e+NVnU{BaL20R`=lncIPfyQ_%jegvTCzk1G>kBF=FDH;_y1oDDl|bYip}vQ
zC0nkoi(T!lzc&Q5lqD=|+NDdEwj>?pO4|=wCw0znzAdwor>Cc9)UJ}3n!k@8J(_uQ
zQ>s`9sIa?|XIBj_^$xVQqpqs@_%hp};quh^^Yz;gKYVL+ZuN%`1*ZA;?%YmgU}%Wy
zV`z%fx3`bay>(>eo<AMiy)D->F-g6co&SkLk%8gBY7T`JUuF1?*B?IqdeWmkvF9o$
zE&uc>vB*LOv}Wr;D2u=WO~0U~?cJad%ZzE^8^HBkrF&u-7!G`Y^8ESfhXob8dp>K~
z*u<QjZT`JXlHtQ_P`NcH_~*}`S(nxPo<4Qo6ML#sRN#Wc{hG<{9E=T8N(~GQ=QP_7
zf4u+U<E|wZ`O}N%Jz2S@W`+zOXenD(2Lls>h5sWJ)r#F53<p@-x-WoIZUj*)*bbZQ
z0Trw}{`{%2l;O*tUKrQf-d-F(H>wE~Qw5BtA;tgyy$6@S=i<m%kiYMwa?2GaPzX10
z&p7<>NB)nB*!_1NTo!){bI}qp1<+!-KWaxjy*`u)9*BIbR02w9ur+i&{_GQO=k4|d
zO-k6;)zxX~=#+fBi&+ZW-v%X~1k?HZ*iz2SFno1$^K$RmhHm9|OQ%O|%UOBigokI4
zqhn)GP|%efg~^~rR?r6Sw!FKm?%avFy7KYm-JGB*r^mm3^Sdi6CtH=idU6Ro{R0{e
zvnpA!ITvqf8y#g1YQ?Rtsp6QXp1<c~+nci8Mn*<+a=FEH0-~a38P|9O^~>3cNK3EY
zS^T_eu@5MPsb5{i@agk;`|NvrDqme%+FjiD^6&5Ot5>Y>@bvV|`)ghHX2sdr=Fzcg
zAfq>Dg)&tB|N9-Zl4AP9@KEtZ;j#Qhi%y*I5EU0+y=c*)O;Vt^j1ODQbYgb?zLiy9
zU%gy5JFjTl)TvWFCxObzU+joxYnCs=&zH;RZ>jj01nN!qN}HE$yS_d?ep1Po7lGSL
zPn|v;`wJ8k7S?vQ+}AqA^kP<Q+GI5SVfdy0ZE<re{3mEZO2g2*yGs3k-9Rc33wB<R
zWnf^~uWM;(dFtfJ!c1*V&5uE*`xakgnP7ge!nv`r@zwS9^S!GtFY^@@6kNzFZMI|W
z<k_=V|M>AE*zVhxmzSqbm{4#oi<N<);d|vT$I8pge7$^pz681MTNuW3u*gCtYH!t6
zQ1|wEsjRw}zyI}1OT9tu%ADxERa?v6+*o+9nLRpE3lwITvyMtm01dcLojNt|@cLCg
zvrIfcKR+Lym9+{qW^?IMP-<%GO6PVy&`itLqoCr+ZcW%6#!Aq5)<swGmG1p=a?{=2
z-Lv1`+6o#1GA(@MlA4;TsjKU&9k#~eDWnbP7r)km`P0kg^XF~ykBONxO*cBt(UgIK
z!QpMFHfX7+co#~ZSzY=0**!hx1FT&PObiXKpFV%Sy3BXZsnh)xyQh5CQdrQq@26V7
z0Mh|wkY2Gu9Id7b7Y0U#14V_CcGQbB+*%oSrim5g<wFj{tWiyriepee3Thr5*y+N+
z7@!MoK%FyX;%LY!yq?CuP_RzWfng3CM3`642~;Hy(7IPh)04qr61KJ{sAy+kIPe-r
zAT~wyf(oZS=N=aPF|XO9r+M!7(>dyuTKe*8?S~y19M`&mLQ8ytg(v4dJ*ESdNANcf
zpEI9W<~#e!{`&gX*4CAYhue1j`E>g0_x=CxE<OM4?d_|}{pDF%Sv7TZd=9tsfB#u|
z0+b{3KfH|G5Vj^_;lIDXwG|Z|`E9>UU}9$8TKzrm?d|R7Z!TZ3z(G?}6SPPSv_SFF
zr6AwgX1>we^Fs6T*1fv&@ntNiaEmyVzCU*Qv}vFjJW&35c6N4n?tabSWh>UK@c}KF
z3JIB_0&0GOCMV0vwz>7o<%XUFwQJ6QzNr`iDw4Xox=d0}iFjU`sO+B7Q}}v&!a=5`
zOP5+6ZdU<~0B+p4ah7%Yy40_rY_PTQJllk;tHZS|EF$jLexG}5Tkh%u2OL=0*+C62
z&|)c-%>V!XYC-zlw|~i6mtA>wcJ^95X>b*4C+z?l)a~lx;*~IP01cQnv2vIEe!Knk
zQStaID*_j*c(%5-PFix}gva);h;F#|Yj8Jw=J`10q8}d;r%s*v^85b(dzbmo*YgCe
zLF<#VT{Y7<{nbTx`OwJ7nJOpm-@l*xx1oW-Gbl20=BsOKvtu8Eyv+akrm@1;*Vm`3
z@JbpTS^9TcblyZmx7XL#mw#I+HK}ybr%y%GkAvc-;9Jc%9*@h*e7EM_Hj6E}=&JYD
zcb3USmA^k8_n$-VTVJ?r^?TyXnJXtu5SYHLr-vssC1p<LPmo_X&6y+f^vRPQTc%E#
zQn6C%{=?0TDu#xEtHaiUs+_3pd2e&>@2}s#B)$n`54^;i4=M33SFL+_dAYWt;=?;4
zd<+Z?+)c~nr<mv7T5{xwi+<=6>6$W*YYz@Kr}kWYb8~a-t@N|AmhLKjy()Tp-lQd8
zzLbELe6g~!p0isWzW!RDthGtShXn6za3Ib-Kaa7qzyCU@`F=`!{fb44obK)_z059O
zv!MK5r8}s(cT_xH$8(lR=A>um=dZtVB?LP11L_L5^T~qy$$6l(_aM2(tij_FXyD#k
zZ>P)pJ)gSn)qanSEjkHa@&=mQvHtA>EhWF-s|J;lS67GoXJ%%eI&~`Pn>MImlKK3S
z;nDNw%h}~?0{HEIJn)3K{6awm*OfTCYF^N?`UY<PVYhOgfq{XzHWsLPhkJv8owUQX
zb+OvJ@4oxiKY#xGqT=G%UwQZU#n%4%5*QFL;n1N&CN)0_EM@rgLqRRrAM32{={>0V
z{aF70iX}@_rf>7s-+SffeO6Xh(8__w$9hdmUxiGaHZAMcmQ2t<T2XOv=<>ev@0CDp
z6C=C-Z+B&1U$^VyG3nK@cB!XCrcRxjd3u^|S6A006;*Y0(6HXAbLXzTxVU(&mMADE
zRN7gyymo2lmk&!#U3xqfYs)7p6l8jU_KzBdoo~0@7Lk!z)6l?B`u<+5w0T~M-tGPM
z`@6cj?zClif@U1IR(?*?_68-7ntA8>4uVEs*m$Luyk584@8QFTx3=ZZ-n3~`$=9pl
zuR+U5+xcWeA|f<AyLx&`qV0{0f{q?N3YsIhyQ_4q9%!)UgQuOe!@516ykaY#PCfVE
z-`hL5s%qD|9gnzt=U4=S))0k;g{gUd`u@E<+Fn7y0kqr^TtP6L6Pz#KRJtf^Z4_uV
z<F5zJ{3$(we}8>d^>pu-D}5au7pLcW&JNUIIydk9JjRuNo72vgyt!crT3JJ|9GSg{
zk%1v$Ct5iY_?qd&ySuwVYkfflFB_Ydl9H3OSx&+0>9C^X47BKonGV`<qyGu5)5v%5
zQ;GU#&|+fmX*z-L@9mwN`|{<>s9hy1xwyFI<RTXtpw<>c7WaHx=AzGM%~#j`{k7}W
zs?}GPcnX6ifIwRwn3$Qr9ufAp`0b0Y4fWj&6b2t0?W7&@c06R;`|+6cEW6rWphdGC
z9UP#kHc;&swJqo68*y3LwOg~Vzq(ib{_2rVVbF-g(xpo^wY9r%t_PLj#b?r)PwXgs
zY?60p$K_Yj;^NCwPfwfsybEN(k2j{^4LN!?pxy-o1FXLQ8b@Ma7~QVJ0Na|hER1!6
zX7I8TdD~xiX|F4Y-d6j&4AkCtbaVs_0(^LQ7&Mv}pb9FWcfYFG&9GWTMC3)M`n-UI
zgayY_@ia?Tnu0q_7VERln!n~0R(o+ud;JyAQgvo_z8yNVjZ(Wn1KO#l#avxoJts|?
zJQ=iHI5j;z`^$@q_cXvm6P8<(IIg+N*Dhh@7JKn>`TTD?Y7REBdU<;nxAA*|HgY5-
zC!3bPi&=dNR0-A0JI@YUIr(~C^}CC*<#!f-dwYAgE~skl>gt*@Wy+InYm$%m-P%*R
zSu_>gf@wO>e{hyzavNynecD;6{?pvt+^U`vCr->etpp$Vzq&U1`<`o{uHO|lyIQs-
zJ9b2X2JGajUMRM<wN<?dh8GB80s;>%fttYwZhm~p@aX_EzlM&E&*NjgtGD^XOM>XI
zxVU#PRW}tQc9*>ct%d=u`dR_nf0NP^SXsGKOG^v1x`maU-MT$4l=rArU}EAzCue7W
z%RgGi#=(k;ih8+{l9H!RoUm|@292hze){BzhPwLkrE8ZgIpTfw2j6^N1y)v8qhl{X
zfpNF|{@ZPPQcq8lvaj1Suj-YitBXs<;Wpm9+M?oOQF;0LQ_n$}P)JDVoabEz28JC5
z6)4@RgXzpCQm4l*YvmT-wblN^0cOyu#Cf&fBDdz;44O1$-n@0;@wK6#X2!~j@bz(P
zp`-WHuJJN3F#Ir@&#RD_nE2}c{{7Lvzr4Jhy7?w(O;GynC7zQ_>i^X&UA7D~T&Sh1
z8yXfi&8p<Zf{DuRQ4yg2(SzGHzm&ebx{+fx{eM4np#A02=~<7Cbb{I-QBkwP)<hiq
z0@{mr!1BrFbca=+53<Ww<n(uUU*42@T4x=op|c`3>!~Do=iNO=P-A|?ZqLKr$N&wa
z<lf$v`QgDq&^jk6vz!$j9UP#|Dc;ldN?-5BUMPTL2vjIEe9nA-Z!aiOxb?}bT;@9)
zv_h!r`P_0)N9gPv%izWC{nJ!LMMN}IRb4@&-&a-!hek!M%DlWR^Yyj0r_P=Yooi*c
zcQ&ZxKK<j1`RjePzgOko-=~-R_*ieSlT#BY&89PeHuqsKGpv7u+UlU82$s{rv(GL|
zJ3H&;gM-cIwy|=HY3S;nm9$d<_0+q1d#~QvS-dw8JYF)n<`<90RAu)*PzOm>RW)i$
z#zfHCiJl%F&rARQ{tgWZS+Zn_%J#2TWp7rbo}LyN3!3A6usO?>0kn2JuIi<#=cK!N
z;Z;?;=2gG5^bAT&T&SXHWOONaFMQ0!sr2==t?Lp%?IriCT?~_E&RjV=Z<puq@9(eQ
z*;yPK8M$(?d%xGDQ>RX;c>eqMFYh%g3yZ~X(3A&5!{%`9b&Q?8y`kUV-8Id*VE`H+
zU%GTDC?Bb;to!?G(i0vPbuE4U@|U0z;K7?KUB(Lg%`z@1^hz3o*In`LT_x33y6Dg$
zr`EQ%d7s|6r==}(a&n5f1sZp{J`+@=Z&ybflD=|^A;|R2swGQY)<$m+gHHKf(>FH{
z|M>Ca@|r!+2F0A~pc3)@N7M#|KmS4S;?P@l|9+-}#>PP#<#w07Rq;e>R{RZvmJlBv
z9GrHQ8&pDA&9`GNx*l8p^1?!A&|+lJj<War|Hpy)r2Bq8lLpNYW?fj&sFI18t~0Is
zQ!#bgG%amyZ&|C73nwNj@7*m3Y8LQ+e92&xazfzjJlkl{?g2g-iv<f7D1c_qZf(ij
z_3zi~xqlZeUc9yJZPeZB_j_kq6fSyob@lQsTTD_@Qw@KE8ma|+KT8-SZ7M!w@-OV_
z?tZ+i85Dt)&n{mF4MsBT*Z__os<hZ?-#qzOUtKO27CQGw;h$o?jzyC+y_)*GXSHf)
z8BLq~yUDw+uX@?esh52sZ>G#LU6$rN*?*ax@8qQdkt-(Jy}P_9EwWQO%Ir~7G?Ujd
zCZ!#Pb@e76xSulU%_-jd{qL{$cRug^TDk9|s$Dv$4W8r72+D^E(p;c^8pG`X&~yvK
zjW#Awb$h@}1Y8JjTi5`~=NougL6vqxt_HZFMv~Uv<6;v)Yl%S3kjKY*LpLV5UR@U(
z-OR=d%D3yKX3v-bD!*7+SU^+jhuitDpPZ~N>jA2bD$L@SGf$ZY+ItIH=?+?;4l1vH
ze0)61x_ljIa`(rN3e%h$0h6Z8nX`snuEJrec6eAy$`T`EWAH@z_jh-1ZA$H~skJQw
zw={28zKOqn-tPCBq~v67k&Z@Y_Enyf)w+6mLVSFBR6x7HKz*QdbFD)cyYYGkfmVet
z^%i$^ch5dE!?5oOsJ&n_@pxR*)m^2pSD%Z!vOYc@v_o>9ZS^Pn=v^hCQQE2Tb}FF7
zcc3f)+Po4CTJLZ`x*~^hW6`4{oS|!@LMMSH4YzDD0j22hUT%K=a3`mxyB|RT-Ty3<
zHRa)<Rxdw4&_IEz=gO5UCoOsK;KAx+Z0zi>udEE-Rq=7rT1imM`9Cvd1&vMk+k9*R
zt*Lr=xZQiwrp=pGJyTCl+nZIhv*;;T4@hCb<2{QS=2#Rufd-SFo|^jg<8k@Z20WgV
z_V3@X^77Bm&*8P|>gvl6NPt{melB@_(^Pe3WoJP_!BZzrTv+BiJ7jOw*FUwD)8n4T
zc72UrxpL*Ipru`>rf3Gg+5dQE`n<rUUQ@Yh%u-GW@JbpzVY|%Cz;Hlw<Hn6$y}i00
zBCD!)IcM6myNgfw{QUgt@bz(41rO?!)_h}NkaY!}3(x>s@wNN?zTF4@O_(4Mx;o7F
z_O{&JuXck*!6G6eI{(>jPCFaaEvB32l?H0=v>)Qrcz<J~vu^aZ5{-%JA8vSW0PUJA
zc;ImK_;GDLJy2h=weR)y_46Sc7@zz(53-^5_qWUk2O7(cg3|t;rsMM%CGG3>fYwmn
z+gttm$;ru}m6+Ub<gH3psJv_yj|+&2nR9D<{`%$fs=Q{-oC#X;GRri3nV_<p#RM5p
z|2Rf2+M(?2E!D#YTZ*1~t&Q3FY1Q9KR?rH6(84&-fVAgiwUg)1`-7J3otbIuUGg84
zei|lyzQMF9@o<|^KQAxu)mvM$y$wNWo#ABjdqz-fJ*XoilTnaAhn&`4cku~p*68@o
zG;+PWyF5H0VL^=E^rWODE?KNaNv<Dg2E4+oUr#~Zf8G_)jKqu?D>iH}kZcQlvE#{;
z6kAXmx#GhDC1vHWcZ$zvetmWI)vc|o^<sCW6la0zlH#9MvI|UFTUuWH`1qKMi|Z0-
zaClYdYNz9%Dbt%bZ-SPIW?fmK=m~0%fz}njc#+X7X?*P54Nx6-{L>3#h16410s{g9
zHa-R|Cym=%^>jMF=c_9#Crg=REKv2HHYLpkWYg-35=PC=DN{t2E?xQ(v|~LhzM^7>
zkdTm!2PoNAsIAvmfR_m0SP><{-Ho8U+yCS%tBSRC^rVn&IX72-o2nhY4w|Wtz2@$K
z=k~X!PoC5?0JXLc^nQG?JYlNKy`|xm)06&&Wo4~e6|!=XQR*p?pXV!{%}ftj8MKsX
zKCh&ai*p;#&Pqo{28M*yH*Q26J$6j&hmNi7-GwIe4!`F1@bKtZ6}oy^?(J={Tk}s(
z)8*pk*8Vo%F#DR$){KjbOdc^ZFdR^9l?}MJF}WQyUJ#&k{=wJj37$dF)ncmZ>d))9
z<=wS<dwaV-Gdo|20jN*;AkyX^4|ww5IQ`s{>D{8*VK0`?ubZUOD{bz_$jAuVu^=KY
zzWm$U+pkwHpBI#twk+-3oRw*3XJsDg5ae41%5OH^$HgarMwwq+Ts%qTu)&s`n?}0P
z+k7UO<lHb|Wno#7c6Ju_4BNf;Kd7zdaI&(7(X!-4K<Ba6wzjOdx3(^w0}8tjd3Ttp
zTvZOatVqbg|DGRe<*xeo^Es$KovI%nw>EnFHSzeGhb20o<i0q-;oo!6o@LMsXX4?u
z%yV-rKYjfg+AnAO<?Z(SR<fXi@q>hjfM@i!9MD>OQAtVA^e?E*{QBD3;J3H7nkF7%
zS^oI$p`^Kd501@{&OXy?`fORonSRq}$E1prdv`j%T+rar)!jXL{rdHCwO=m&Ie%)J
z?&^z+-Cys1zc09`XjAjcywpFBHXXYYk({^2(A+h-ZjGV&HIPZXUhJ$cm(I<#zPiAX
zIdo0L#skkEK79BS+<UoW!PT+k%9RjScJ}zMl?4SGd@hH0d37<b1ZBhX&WsbM%$>V-
zQ|jrsua!HCo__icN=Q2j_xZ6Gu>bq_&#M04pV0ZwpFDZ;Uf(Cq@aE=p|Cg=1J^$H1
zmhvonYOD6rdG^29NhKbaw*LQ~0CE+`J?GB!ro8`S0C8LI*4MM8)t{t3Vfgyh*ypmz
zT)u}}*2V7DQdM=`UH)G0!_Qw|Utir>oW3?@XOM06w>___<?DVd1nt1uoy5ezaKKk5
zW=DW?J71~QG2KpMg-M4F9s2Tgdi<+5H#f89x!m7VxtZs1Ktx2u!uzkUt(^^;FSaUu
z6){hhk%6J%`H6Gqu01^5esyiM`SQhgHd!z)ioef%X;*1BsQ38zc>nY-uV-JBHqTp=
zb#>Lt+4=hlEfhiB7fFyp`R&#T2N*!3j_Q7M0{;H`Dk>|xR@uEzLrd$_%L;ID`GDud
z|Ck*Gj{1AQOaj?_dAUDml?`Zx|COD^>B|>`YDu|fXghTeJFI28AvP>*+A`nS%MQ2m
zTg!sVOS8od2g=gV&%1hMWpL?-2ad}Z?^wHKiwP(pg2tz<x^AC5c{0$)r^j!O#lsSj
z?UN@?To}06P1Dfu;!BOZ=U-l4esyExVj&@+Iem}HB7(13B&5B4bhP`|tJUj4TQy5W
z?lfsA6tHZU6FqC<`}E0^7oVP<_H!?^e);kxXbQUS&qw#=i+9X@^CoBS|9`)|JUt7o
zx^C|*c-RD5i$B+{_SQ>{ymr&nUgorGesiss^2u6d{QmaV&;6io2NTnSY0iyXkKK7t
z^#PQQH-cD!gqr9!9f=Zt?hFhIJofpqH+)|iwssb1u=dr})z-2{bASH+oqb_};~Bwq
zlKx9I=k)jYXI)>XTVG$ld@)1Abz`4@`K{7lK<mM-t_r=ivp9X>@7d=0>+EWOftIG3
zsTa$GPK5xivADR{U3^zPXuHhc_x0<K^-ABK^X6Ld$49Q9ow;1x+`&t|rq1aLUZoei
zYf16*b1%2u&eJZbcXMkyHC<mnKK{M+w31g>G-a*Je0*n{>6ZKlotiVtG<#Li(^F>Z
zyT4Xkp0z7%=gytKUM`;>vbU;qs&4ePmlk=d>gw*G9dIr#EufQZmOp+Vc33rHM`B@N
z;j4RlcR&3nXIqu=@zGH;wIX}ad{~#Lw$AtUQCqzxtNU*=ocMc&aeCjb(${G__g8;^
z2U`2~dHd-pnv2Wc-l{w*@Addt@8!SW@8|E_?>pP9>f6oqT%RX)^D3W7+J3u{Jnc7V
zAv9=vpP5>b{2I+{{e3?c9XfPK=ev3Sy_n$TerNBO?TlF!yL(&sl>QqxB6=kZ4;B4C
zF;RJI%E?K8-WEMQ1v;8xVa<bG0S*O+LGzwfUtdMOTOYlBU7w6)QnJ$b&AGSDKqqY!
z)$cBQD<UtSpRDxVu>N0-Y0ixcMfHc<cun)~*+>iT><7(jyt==C|I>f}{{GHBJIfU0
zqSx2ghrhqKSNFU9j|a`a9(C*I_&l+LB-q?*Ya(66K(Tywmg(tZE+0}v1nz9;64e%q
zGytWIqNk^B&N%TmB_-v=`Sa(C_OD;R{?g^kAkR;lG)Y8CDr@KedDZVgn@)Q>@3?z;
zb!A;yk+{=dMaAXh$&(<v?f?JTyee#M)=ql^gMiG;Opw?b&1@Ni&D+Y~$AK1g71eJ}
zJ3D2@jErQZ3L`F#yolf5-hMr2{a)l(`vrgdze_4VKLf4W;8Q7<|N8p+^<AZ}b-vgC
z`}urT@bbRe#ycJJ=g;qxx6j*YZ)zH<H@*DdDlQ(LEBE$R>wbTKbMx^}{{;NSWn|X0
zw6L813);B3HR~$E`)5sj=UNsYEBgQP^77J;k6fjN4^FOpp098x<nnU=>pwp~2kl3+
z{rzS$c)PGp!~)Q2InT*zy9ypQE%TrMuEfV3v=1w4U(L?AiifPJsi{xv>%P5-1eIW`
z!`6cK9m@K=m~(Ayw6>L1)XbSP!{2)Q`-g{wOaaXmI~YB8b#ZwyxBQ;w7yh@Pk=A>A
zDqZ9J9-Ra&JpK9kxp-Cn)lW}PgT_$y)&91caHbLxbl3J&79Tx!?A4)G?(nzP_5b$R
z{d%!j>HGwS>rKlO9xnUw@Avz!PbT}ndcA(X-iOND+j33Q&&ixtzgp3K=S~dhjHhmK
z{b}>(&(FHLO7-RS(~NpCI~Fi9vuT)_UDNLOI(Gc{>e$_7s{$9d&8z#B3EIXqX-oC@
zyuCl4&Gz#2yx7JoU2?znyXBlKb)Y$etE;A7x^(Hv?(+9c#hZ(sdVv;2*xALIW?w6@
zSo!zT<;!2&?f*Fb|NFlF>YB*Sf7DOBy|*`dciG#ZjEohawX(PK_uqZE<Xf_D<n7(%
z>kl11oGQ`g)-M;EkSC@Sp>Ww`Yvt!>O8SYPL$a^010AIU+NJJ0$717wJAXh2j7-yw
z2CX;z`sU{4hf6-NhzQ&X0X5`7o4P&A?^UKxyq;0L7&P}Z+28Ku{KZvYU#*PaU)R;q
zQD8B1v)%tc#l5oDVeS0#=jtcU%bW$;rFpOJcW&w1TUQ^pob&Yc1<hB1_KKyZq<Boq
z+x^xIG^GOCpXlV|B;)sD&YCqk;InQnE%pBVKJ!F$FlgVcR>+D61y0X5EL&4};7n9W
z$rjM4=Um%rv;W4IO+*C*7DR4N%e=B8kZ)PD`oac=0`8qVcY1kvXnbf-=@!$i*!=zf
zjAbk5*Z+&Wv|j&nN?d@<wUCPz31K^WdU$I8{d~?^m$$3zE$G~<_Q?k)2RIa*O-f2q
z@jTqdJ2_F}=k24Cb~P25$3Qi?ZUa+O_Oqg$DH3g)HgA6V{CW7I-(oz6FFZXxJ=f#8
zoRhQj)1sYQvajp?{Pj!A#AM5j#eHpwFOJLCZ_!*>3_4xPbAQ~s54YbwdeZwn<?=G$
z$%zu6lRjefrZ4lI9rmW2=kNv41|(;z^j;}bueQXDdwVKBef+3-aj8OEV#dEeKh2gD
zi)EjZVn4G+*0w5S64#x{5ki%Z8>Jl?51O8?Zb^K5Yb$q-xO)B`a|xS@4LpZ09BSo$
z`uOqW{jqay+=!6AWVw0+Q}mTPGnTzHWt~=(zt(TARng9vTf58GpPHh%*sAo^loeN=
z$0j{K84-LfBKX?6ug}%`&Cl?9&0l|+vEcR2O&%4&8#PwCc8iJbe0$a`=Z1pkPyMtr
zw~wvA{ziQ3+p~P~b}>)3nJ4>3T9>?-u;l;z*?V$5xW#lPBuZ!nFY{^4J-{~y-0x11
zKG*PI*^e)m{Y~rt)yUdZ1T6QTe{JgCYX&`k)Uzr!H?#9cotvn_D`Rn?G33D7w{LE4
zo|fJ9`YPjrzXfb8=5M}UkH3DTQ@HfFY`KPwP0Up7aJ`b4kdP^7Pu@8`QQ6%j=}5<)
z+0NY2W%r8i7AAgsb93>E6)Tju-|Q-VE#viE=CX-t{=Gd+PyczfCBC?{)SGWfahRW9
zA7~BH&(F_aPmizLD06&Pl5cD$sI@TPZtaa5H<X?qla_naaOt?Dz?}^@H>a;oKHe9#
zInDRq)+HJ*HXfG?uBq7r>eU`#=8u?WlK<r(yL`rz6BD(9m-W2c_xqjG^JCHdlYM3w
zID*D*K~2C9hxtDjf0nNQc{={fzu)gy`_H#qvr>D*vNf@l2iAB_R`YW&lAd4pYbEG}
zqcv-E?v~xoZT)wrpr0d8>|Dcxw$K#;V55%p$-XWT*&e#DrqXwYfg@<c+vUJJetWCF
zhAj0GT^qZ5ns{TZqK1YCX#2|~Rc}!9DsTVaGSH0j`#qogE(hM>%RUu#c9yBAl+-E4
z%}yqHcOssjpAT9asF|iwdepw3Ps6REV#l|4cVCzAY!BO6l*-D+W+i)Acj=NP8CO;W
z{#h8(@#alV>AO2OUrOYiG~n5qaq-YgiM&qJ)VH8!-TnRcPZtZY^T}M;QTSLxegi8j
zi}{=Q|G%b#y663NzfQc=$a@W1mz0yU=6YOz+>~X$v$a%JkG_=10}bwh)>m9MymJY(
zF|GFFQE|WH1>TT?yX<;wxu&u4<(Cp4gkqXnrLS$t44!LM>IE7!i`cj*>)IMkdHMNF
z$vlTItc%?(<Mm>XsCHP!t1Bywe1nsZ^;~>k_kH*3XC9NPzPxzoV3l6``K-B=K|;f$
zM~_PW|NU+)dwlJZB}-OBZ_kr5O6fS(Cwn?_%Y6?ouS*9SnXhh2^#&DnTeGfemH39P
z3_99aaxTd?^7iKR{$1to!P9=A`TEO+cTRnJdiv}2{r^H|o8<=0wJM#{$IS1}c#t>y
z{=VAIJfF|crYDPj{T6%JV9%?wN5Ws--M#(W`}^x_e}4n5l572^m?_Z)I=Cdj={XAv
zi-x&*xTU4#q$Nd9Pl;NYzkK=9??~~L{Ocis`|Bfu*Q~t%sA1;T!pFy6zFxmSEGcQx
zu9BBQFB**w8<<po%V`%nG&#V5LAvJG%jK$4*VjgG5Au6d_v*^Z;G9NN9%pubxh<L#
ze@hr9xpbb|Yi{@G*VF0odKd5b%rrXMX7a8T(s=H&3Yd00nt#f}XN#f3)$hTD&&;^n
z+j7B$j|~F@!yfT;hk~;)deeCh2b7g<`}60|r|oMi9{=UFt@<({Q3ABbzNV(etE6~m
zq6BDBD(}lVrC(kIdIqhH+R6nk!PL7uJ145}N}Kt#B|ga)Pyg}Z;Zn)dx<0ebeA^O1
zr%V>@jG1MY8@2JiA&)bt`@;Kj&e2($jxib^unlx5IBS-7N5eDg`nuRgaB<7FHhTNC
zL<!KTYfoRlp1nVI4rtq9Tgkay*O+D>m*&bzEDn~**Zh8_*Yw&HQ@$CI#XDn)cE(th
zzl-Ut&*M3KVX61@94`+4W2zB5(!#|!^R>iO!FB2Oy*Ha!xl<(E{&gStv`tags>EZ`
zljqOF6QqOk^71C$zSm=#s{20e(;m~Oz2?)SfBwGzU+=KNlh?1K6QnmVr$c)g#tJ*q
z7Q6NCdiGwTZQ;+)&!;;{eV;OIT3PIUZZ57}Cp{S$818U`g4F9%&rj{j+s4nmt9ZXn
z-ScqQ<4JdHYE<)g&fJlFyzlxS*~11~^6u^m@^~Eg>e|}s*!|^`CQb6vocKGzH}Y}A
z%&n8`o;>op_u&Hf6gw`C04~s(DDmNplGbH8noA1xRd-hY@VZwNoZ%TisZ2G0$GW{s
z^i%gtGT*agA|&>I>};G29x{!4c4DIP^{;zxZOy*_MCF5<h(OHrIdf!e|9-g)I^Gg=
z%;)LC;%8?r&a<sHss8rn&+-WslY^K0oiy=fWn+u#`}uTwe2PTds*sgQ$wmwe4Cyhy
zf0{dh_H>KL%C4PfTP<d}F8%zxuC6YSSdP~-yRx^pmRi5t;rxEz@4ShRL96IO*T==$
z|NF7n_v9SV!k!Z+P9&{&?Cb2jn7w|lTE3Ovq<Qn!b#!p-{q<_KYu{|c<Tg;wJafip
z_9RPvQ`6AzcZ&Tte%IUc<54#kFYnb(Vf7rZXExWSY@IVl=I_t*_1Es~Ebf*uPd_JP
z`|rnNP$Sj%<ekHdT)VfVot>q0d`;ZmsBUrnZJL66nmA+H&2n$e;J5t}(0Pnc*6PZh
z|Nnk_TTc8fX<N1B<^o6N&!3*2cJ13;^K(<>dE4(Zl8^Ol)SUTw(V|5@^78V<zrVe8
z?E@WT@bdBF<YPyU+?aBv60}rMQa~VK+0vz=mhX;q3O~!;emCvh48z0AQqEQX`}zEA
z*40%rXU?4I+IRZI34`XQrZb(w>bItVTeX|h&zqf|rkky%sw!&v?m#1R+RaU=XLlAq
z2g!R+*E5aPoBs1=`g~E#cbm`K8OQ2P-&ymsX!fLomkZfgu0L&;ue%`s??by#Z|>z~
zy=Cw3#h&WCbN<)Y*QOa479{0=Dc%_aT2mTsb5i4cyL{b>dA8N7T)V|w`?7CtS_(QY
z@5PIZ>ZYBIsi&u9et2+jRoL37iI1C_nn1h5K!+fhsTSXRb#=9A$_W9`SkH+<(D>qu
zh3%lh{n?W&`%P1GPfk(=t<`<E=kqzG<DeChe}8`u&&gTidvcDrsOZvfZ*Q;mp04NG
z_xjS(ZmY64FQ$eYFDMCcD2UaI*%9!l+Un1rKYQLy*#=&2mv?uUs#NrHKiQ>AmP{#9
z`o1ywIA7_jD=S@+Z*R|E-_p_&<oCo*NLU!ORdHHIPPdrumi+tsK!TGdO}err^RiHH
z?v)i2LEhzuw7!lWKfc<%Urtp@T2OEysAMTps^I40Sm*8G;n7*|2|B|>QBiT}oD+XT
zRs=YvpPQq3@rH5wxfA#A@1G*PvwzJR9aa{WDH%Bq4h`q#T8E$NywhIUd;Qt-XV0bu
z34MS3_;K)~W=V1VxGDYp{+jCGUa*Y8=CWsJW-7@~`V`&R*r@uiUMfHaWaaa7b47)P
zgWpK+zkKPE2#EDE*8j?m!pBMZZ%%JcJ1b?Hd1(pA)&&a`-rnE8-zE9``}^^4o_fq%
z61Fz#*1p>6&SQD^_r-#$vZpTZ7K2V3*peCCd93d9S@Tul>*Ej(2wUnkRmi^Y`-zFl
zHfsgVd0APmKmGZ9ez>1sA80ASj~_prjvqOGd^PAijFTrX7N56GFLrtkD#Kr2U$6gd
z*3Iwts{LPIUw?f=;^7>xXL~>gk~Z_(X?)Yj2@9KM_u~Qc*8KbT<|X7UNIyR>YDYoh
z#(JN3_xHzhi|grp^DLRSB>(<C(5WF`@0Q;ewaokc>}=Gglupo|`Cy~x8^PU!TeaWs
zF28Z(MpC?9#m`Tvpnl!H-|seSO4`i3Tz>HJHIOfj6%-DX?2JkK`|Io3eYL-59d740
z|NZT4_Px^UvCB?BHPQ}Sld&#h<Dr);`gWAOoOE+zvis$yMKf!EeKCCe=+T+I)!%1n
zYHB{ax3~K2jvW@8{pZ_(bXk|Y2zYaOlZ~g7Q`5`Wud}yhUq5G4_9kLsa-XbqTG@*W
z2fuv%YAP%wl;ihej<CAljL_9#rp?XGXI;C+W{T^_>1_D_=xFz|MXudvq)fBGvi<V*
z?*f8;r>3OLD1Cj+6yz>9H@CR2n~UGvFf=wYy2Qi5VetCe+U#Y^ms?M{QnyAk+tbrC
z?dPYbXWe?GX3jRx*DE>m?Ck8b$9kn_KRrF&oL|Nwq1fqp&W#NRO?VE=m}E?-{PyOi
z)A5wl)S1of{AQqnAn`C;HS?k5k4jE=CLC_(f4%j3+~rlFtEbGFGv|M$herqKXb(<d
zHId&>1pUk2-LVAC4_v%>u{G{?zC;`7<kOwS&sRCMa`CB@oU4AncR6T#o8EM9(4O?k
zYQ7=@0t-MVqkK5b4<6c^J$v=`dsW_`y^fa)bGMeh4*UA{cKFJbD?fez9^TBx`{{Yw
z{e88k&YcVU`s(V|oSR0i?d{gG*TdNP<*v;C_eC9a@TL)u^Hi<SQ}btk`BE}-*-ACv
zSs5=cEsZPXoOWcEme)PuE1;#W&*zql&6s_6ce%Evrsvbs)31Y;&#}wbTzI)-8|W06
zW&ZQm9XQ|svb|T@T<=5i=9-^Hb8RYvCae2j`||Sg+&*spkM)Z(=W7~#YX(i2FnGH9
KxvX<aXaWG8+wlwl
literal 0
HcmV?d00001
diff --git a/Code/MonoMutliViewClassifiers/Results/poulet20160825-115104.png b/Code/MonoMutliViewClassifiers/Results/poulet20160825-115104.png
new file mode 100644
index 0000000000000000000000000000000000000000..6dd5173c19f611c5fc5f94411db9f3be66440a88
GIT binary patch
literal 36578
zcmeAS@N?(olHy`uVBq!ia0y~yU{+vYV2a>iV_;yIRn}C%z`(##?Bp53!NI{%!;#X#
zz`(#+;1OBOz`&mf!i+2ImuE6CC@^@sIEGZrd2_e2#<%>@|Bv7IIyMPR3g}$w*cvcZ
z&~dfa(ruYKxmnt-7yVXWS@F%#**w=hTT3=}+2W;cFBZA3T)H@G{VK2AT;8mg0#38t
zv{tlCIscyj{+;=+?@gFcGbv{M^T!vD_Y~VbpLag;-Py|fzawRiNhmWgFfeR55P3%w
z#3*>H&;X)0v@tL-FfbgDV&VXCvpEz%)EdQ+BWZW;Wyz}A-`|eL^3E3*7gt|?`LA;6
z+gn?Utmanz`}zFyU#rK*`=?)ic||<FCh$gR$>X*AKD_&U-u}Ao_B)GKg|0sJvgFmf
z-S73@X^HNB^ed*bqa$E%)z>xezZdC!jk~|6a<f(0n-y7CSDk!Wva0g)vq?)1HnX38
zS)!$?dbF&xG3j``{1h!=HJ=HWUrxFF^2$8h>aN{ZOPdZqoN)M|#=EQ^d-j|wc06C7
z7`y(o?Hvo5zHGGy8H)l3zvaQsZ9F>{<yL=tvyz#eFXP39g;Mr)dwzX;8_lxSrEbcT
z^G5ma?+UB?z38w1v)C;6){?rvzcT;)_*nJhVf$wt{uu33BIT?NO*8Cjcg^uz-eWk+
zEO%C1-Os0w)&+HLFMjS9x*}lVj@5;}Syxw0Eqixo<%J6YuYd2mbNKA;_xn}{FZYXF
z6ZmpV(owFtcC}Iee;l{JvfO|Eqjh{<EB4%bee&eVUr(pUf4StX|5CsHXZP)0ox<u_
zZ*FW{6}frY*;P!chqiwFDqeGFQ|jq0_5bU5rA$1o$Cl4cJ2z+L{rdlVcdQP5<m%?O
zDr{}k(b(SXAP0vAC1qt%8JV2g`^RQ@uUj9wdYY25vhLMo6|wJPV!X1lR;g&}=&aeW
zidlZj^=eyF(@?(l!>|7q-z~kaX=D^sS68=f73UNQ7J(^JmzViYKK$?kGr!G(e}8{#
z+uFu*i|L%${AXwJ^Doz;^Iu+z&JUfc6&kY8iPbdYf&;(JhlX!&Z<o8K>R(->y58(S
zVPWB?&!2<+{QBnA|Eo03y5hme$hhvA!ts9j>q|T*Us>qPesx`J^uK@qR>kezRrTe?
z!u9+AS)G6U`(eAhNy-U<t81gf85tROz1#J=<aX}%mut7*E7G1G9{qN6`uSJ!|9?%-
z+xIh#m6dg6($TK0dwX`?tNHA^o<FBsOgE^VPgX=uZe2qI!__sB!G(o|vy4)`=9TWb
zG1EBRr0|i;-IB|`t0FcoYHDf%8J+p=&Q7^h{T#F62L~9xzP%lObyaBa&reT9rKMN<
z+y6C*|7}zAW5b_6e?)|ZC#TO`7rXn^%aW|)eX{FPJv}{lJ)c({vcIl2bVY!pqod=l
zuh*i#{`>v@`R@w->w0^<r|YeX*}18ysp-nb<m29P@BQt5x_rM|K3~c#XT^a74y<f!
zt6aOqsvh^6+pGg+o;8u1Q+fhjTv}G&eAJrz{PQd3q@Ih>`Fod6(~VvgwA71>hbQFp
zG~KV)qVp^F>KDCVzu3M1)j@XolDqQe_bL`onl$NC?K+j0zu)f<-(UAP=6lK4S64-a
zg%@93?Ed=A&CPkKpR51deZNz@Dt!Gs8NT*OlP1MHSNbmVRQ3C<UU~btV-nYYe){~m
z`1SnF<?rKoWh?@=W?h}MfB*ihYim|IHnU~EzqeOzeP!bRdHi-i9M(o}4_oRr_0!$u
z53k49U%jz0`Rb0sWKc+it_ry*TYhKZ)6>(dr|7;qKQ*Sc@b1#j{IB}$eyvbaRt{b0
z#M;`@vLbYK*st67|CQa$UH>HF`r7E_d3SfMEPH#4i-RK|B4P$8j{Co7MMce$tN&97
zN<@u~jjN)zu97m%TJrn-{`lYD-<MC_{bTRE-#<+&J|svc$JATv?Rl^F^?S<WW4)lb
z5fKwptFN!Wx-!_E-}cLdJ{ikLf!~VilN%;=s6}XqUb=K?OU1_|)0`U@zPkUO8XkA?
z%F5uYtHbsCKUrE@?)rSrdTY{AE|BiOzrTk+JvDV}{r|e!Pbby0Zf{%r>iYWl2b;n#
zrI~N9adK(`6&~wicfVS<`(4o2S65Z%<|}=@670V+c6V7<e?KT$O`SApk!!bD=F3Y<
zqc){<T9v+f@@>}qx?d}+zQ0>*oPKVF_jJ8o-|tnIzPVvo`}^(oStgm2<f>jQ^uG4;
z`~CXxnwmX!|Nj(&!U5zO2Zx5R^>J$_D!Xf0T1FbDpDUR<->P(#T-6K3*4EaQ)!*N7
z@$!a7Ma|mx`<=C_s_M>LCh=Z=etlM@ua@ZV`{5KA7${|!)Z#bSYH8)?XDj{Z+x_}>
zJAbcT&YS!D<8`CAh5Y^X)wJM&LuyLOi^ctRLFeb$f&yb}_Vss@e)ID4hac~g-CFar
z=<oOa|3fFM`QEwq|I20nsEtXjNy*@paQ)N6!|kt+N#}>`E_*8?CbkTeSndD+?0>iW
zz1`b;d!x_We!r92Z>b+&`*kX)_@6UJMpZ>+Mcv<Dx3=ZZe)Q<kr#CmO%icu%{P}Zb
z>FaBtQqjoRcx%>GtzIcpui0j~MZ4o3AMd~3#LE5UZu$MpD=Pw51ugAT+4(R0)bBVs
zgM@~(^YhkPmA-n>$SybG@WTsDtlTCwKMK~y?~i-G@AtanX2<(vgJ+xNK6(Fsecaxv
zmtS69o@HIWu8l`h$==@nZu$M%>9*>iqBd%4mg@4$E8pGSy*lsiE~~mfJHEZUyIM1N
zS;nCj&UMRLSa;Uv@BdqtnwIwJYIuBTNy(O~Z*N}SN-rrXnfJA`qvOJlkB_&eot0V}
zyF09zjW@`}r6qf=O6}*f=DQyES%0~mzaJD|S$B49EPH!v>Gylp{@mhvS58gUzT1@l
z&eGq<=Sr8T_La5K=3Ddc$IYBMbGog)rlw}r^>uTDf`YDW%Z)C5dn<JR-*2<0=|nEl
zi`|v+>dHzftCAI~_w=5hdT7VHNn0{6tChaH6M4K(_Hyp_yUSWySms)ldRdpfxlnxG
zcKPyoRj(%97XK1q|ND*c(c{OpH8ec#?k*2MJIi$H#EA>%T9;>?nxa|tY-YNOXJlmL
zuBX$YzwH12*I(AUEadyUyQw`F8=2X+WL#AG`s(WGQvH}UUQ@L|_3XCX+sj(H#aFra
z%dPvZ`@Q~i75~5A_y1p;|L==BD+|kt>hJGX#qQqr?aj@_FE208{`lzVtsRAnZ?C^K
z{kJsp6c08H*0`#ds*ejS&fNe1ul)KZG2JK$dwcuM`S<PmKP4aUGv#YP{N>Hf%X2J?
zkLBK-X`Jp;RrO1Bs;o`LhC-{k&ki&)%l(eooYq@tA@gkK^LfS5a^m9YGJNfs*VfED
zdE&%}8}EL6eEjUi#l>=`gM)*8D=Kzm-r2G7_NOmjN`iM5r9OWDKL6U<=;x)oxh-Y*
zihsY|zFW8Y+s*Xe!w(G>yY(79KR35n*S`GS97(H^6@^xF(=IM@UH8<`&`?c5;lSIN
zC!fN~^W$nhx;`$j@TsZUV_E%eP4-Xy{eO~_l$3fdzci6H%PG*kzrTKep@qz`mnE~r
z<0=lm-8xM-I!%VJedp(M)}Ob&zqvVGy8UqCyoyJh{iXW*|7-$z?5z3ylIVYr`|Ycy
zoIQEcP}Zu%;OVKU#_jy_Wzpi|;^}kzmfzmA=UrzTue8+i%b8;Oac{Q$`FcIRT=w&=
zt=am~^2t4tCK(e7t>&s(THeh4x%A!DJ+FQrWS5s{Kb#n~B_q*quGQ11x>r{;FE4WC
zeq3U8_RY=BcekBf`@Wgq?nRmY+Z!7XPtgoMW|Dd7$m@UlW@%?6);~WYk=!S1{p{QO
zrhEH$e!ukh`~CUrcg1A<`SCGseY@c?ldLNzUR%yIPVXzUkWtgpI`w#~3|~7Z50A<H
zy5G5tuP&~OwSN5kdHS<6GaqlWF*d&J;_g11OH^ydmMtdNi=^jkw-(+#KgaTM)&Ke*
z58J2T&3AEWSsA^3-R(_Ha<A`}-_M=nxBTb7-|ua=?fg(GrXQCh!`CipoYv#MbIu%@
z;!jUJukZg{wO(CSRdV^|%(QcJUVfCicW?3T^7m$-pqn^x;<FPImGhp4uZ>Fm^XJc*
zyXE)aZu<kNDj1rA7S{d!wajOxQ67Ko|3A;|K`EgA@9X%xr{>vKUkh0obTnj5#Kp(V
zf09@=v(HRrpRh-6jo$N%?((L7%P-5=R9x7qV`zBMLWa+{>dT9oy~mC+KDo2ASWQLc
zNK1SBZq~+_<9)Kme#<X^d3pKxRvk69V=QcJv*PRjZar{(!s|BaJcGKry0q`_?#jJh
z=086V<TI<171@#RoRjbFD!nULP!wDL_v^B#tyw>Bm4}5*TN$*pi<6)Kd&OEc-&qp%
z_5W+wSN{C`TzdKC%zL%pW4Ay3$*b`C`uguuT)md{_V)@7^H$n@sM=ilIqh+Qg^km#
zsVoz$-|aYTG1qT%(owGdPuk(@O!(Rlm%O-eFt_p@^Vd#cb(?LO*VoMjCC2Ud>vq2>
ze8M*2>FMe5o9;}#v)@(Fp=kZ%wcGE#D&4&;_qNpX%P+qf%$Ii9V|yX))b{&z*)n|X
zFYoT&e*G)AxSomM^2<Imja1{;hev=T+5X>;WKfomEx$W;{og8Xh3SvpMhFWDfpSds
zw>LYVY}?8B<fQuiJ#Xr`v>X2XJYR3-xBT*-=l1_U?wY^*-LBJ9bfd57{)stzUt+<I
z3oP8K_fAdK{`$DzepUAMb$PNs-|hV#*DGo4=IQAPYJEI=bz*z=b-mQIv{j%=CUEgF
z)%e{Csq4dXa&qRqzP3Jo{q?wNUr=0Jx^$`J*%`^}R_%uuUbzx--T$4mdES)64+Ey_
z#jaZ+x4Zm(n44RhlCtvGL)`imYs`<WsQLNn*3RPP*^&SM{r&pmasTSV$H!jX-oF0U
z*6ihGxwoEFmn@&G?w@skU+t>U)zhR*G9GNS+kW%nwYAZ<*IeD*t8<qH>@Iujy)AWr
zfP+H=sF_fHuhRYWG~MF4yLF?tWgPF5_44re@WQ6*!vja(ITnGd!`23Qd39~tv?=Cw
z(fX59Z){5KR(ZMYcHZZR=OtF9uh(vWbzHvwOT_ev6Bka8uZ#4au6MQH{@;rGb-&jJ
zyeeL}HhTN1mnBuX*RHLLwf_0@XXRcuUMZ7+goFjhKi%4z?QM0x{9%#u#;-3gyRYB-
zZ5F8EUj1&Td-<Kh_FG#rA78Y8<n`|Uq6yWqpz3h_>)YG&*MEI|J^S^wwV<YP>}grP
z<Er-Ddv0z>Y*x`UHolyFdH<FzCX&fEeLGj!hjTsNRsZ+v_3*Ei(^e}SzqP-<UN>Tc
z1E?)B->$ag_uK8OeP^4=Ee_n8ecjJA``VQwox)oyKd1fu*k2zq+bmZ^RyH=pIpTTU
zvbB+$-A<l7DfjyFrAsB>-b8|08}&a9%ip;s`eh$emoOuX>b)x~gP#^ym}Fc~*#0zh
zby(>3yt^j#|7vt&c3d#Eys<I)xQb@Hv$WWfH&;QukUe_w8xk6;zP?)e>FMd!$;bOv
z#qZyz6}CoW`Q?>YSBJmu*57yG<>lqvYtOm&%S}~zdvo*iNy1NJe>7NEeaQ%29p?N0
z*Y*8hj!Eag*m^x~a>+mbFH1Zp>)kvUJ!y4sb(}KiQ@!)H+qh$I<Ue#uJvHUx&f@2K
zJMVMz%GpF*UgmrG%uM50err!p&$#z%|Nnho-__e2nwGZg*0$W$=jK|2YU{eXx?B6}
z_k+r{GG8twW8+}HcIETG4@L`|J98$aTTHj)!2!mtIX8nq&5weD4X37PE>1q)_ws6Z
z{N6{uV)o3xbA9iO`Sa&HIXiznt-rrw&F(9vlb&2`yfgd8jfmQxPp8i^NNlqE_ak}l
z_j}bw$5tdBZmarsGd;FAKj!4$Xpy4zkC(p7Ozyc}y=y^y*%P_XpPruHTV^r+oPA1s
z#Thd@P}GVaOD}Nj|GIAXyGxT)y}z8&UY~KSM{<@`>8c*XuFlSj-uio&SijrhJSk*l
zkZSIo9f9ZVey<VJjaqWv{(sCdiPpBZtREj9R=rxee9yk{b#Cvr`uX^r+1zvZ;f0fv
z)orIe|2mUtiVKUtl#G`zUq<aHSg5ix|Ng!>b%tUK8IUE~4Nv|Bo;h!Rh*eYj<kz*+
zw?C}kYn$=p_+@{4-TM0a+<SX&CP!R3+|FNprlU4-uKv4#x$=&Vj+4&)7o2CFAGdG2
zv_V1x8;`_-$H)6$uU^0J5~wv<`>Uk%<t5kMWp9H#JWiy3|9RQpzA|>c^(ODUor?-S
zpEY0Y*vuBSC1YZry!|>ZQLPt;`Rzk8GFI#=d;2Qv8>qvve*eE!OO~kg_id4{`|(h;
z_tRuhbRLuV`{(odxa-x{?x6Vp_xJbLJH_W;zFa=PEc*M`>+!Fl@fNear-x^*ZS}R}
zj0>C7&uiJ*#!l4^*PBvXd3jZ+wr<oG4@*nSTYD-u+x>oHy!YcV=~wsn?_U+Ze%-gX
zx8pzljlKbixc0*jzs}Qp;UKni{l{C`>obpZ2>!fv?A!BGQ?*{CZ!l-I4SV_LM0xD)
zve2-wX=ZtMR;YSUdjaZ(?<#%0Y;E-RRe_7$CY|F?GR(bY;yc^S*Sh@Ol~tjuzdW0r
z|LW)S`O^)btzujJLG62#ynS7asCJmnmFsL?LTwLSJEu*Vvcx$3oQ9g3+u=6e&%fd`
zGFF7GiCD<Y&gU@+)X&ojUG-x3`+cWBKU4^JJmvMgzI5U_^Yc4znBT7{cHMmI-R<rE
zz0&62ejLv1xwxzJwauyRd3U3ZN$AGz+H&Ccq<{YnK_$x1Uu~a~rfP?WP1lS4^6hqh
z_J;=tPn|gN;TQWqCs3a<e*eCp;9%P}hiOYfSBH6CO0D<Y83oEIWo6s!e!Wnx{q=IW
zm%o4b|9^jN<+c^So*|v3za{PLtktvj?f{Keo#Ve<xv}{9xtFK)_kW4lmw(^RQl`)5
z^<&?6hN4fT{y*fezp%6T`JTA*TeGjfdUJELYhAC(%AA{<vhMEMdaPd_T*DlbxGpXj
zUi3fi<jx&)?mW}4ocsSywbl2k_}*)4qrE3xKi|CP#=n@IL9H9_H_5$jJvCi_{f-?L
zs%mOkcXkw76+iQtSK8UtbxFD3W)UdET>80iBX{(>t^4kzYX#gAbO>0q_wzaHA`6*W
zMyXxP{N}#;y5IiqOMk2KcXRGlK9}`;UcXeru4V_QJJ>E)bz-gVhLSpq8(+SBVVXX5
z$u!;QU1^E?FMPjWzy5lB{ok%WLnS4r>Thp8ayWo;>GiTVpwN1HYN~1KDUtQ{G5X(q
z7tNnP->pw(<>7Yz>?bECo;r8#o5ttM{`NcHTCZ<kb0`1fXXDGiCMY_Wyt`v*`|*fy
zp6~KYmoI~=&Jzy{Ui|z0e*c@-F};n<?57?UWL#SlIm<MA+VyAQm;TGAeSP#eZd=aG
zW&ZQ)LQ8i%ofds%L!xu-$D`t)oOXMc`Mrw6*$&+u9TN<XEw+o^o_F;~r|@33MR($t
z>^W;VVY;Go+X;!q8<UUk`dWGN)TvAH|9^#B%J6Mp7{`6NjaT~99`U9B>-%F*{*B(6
z6>2Hd$27P5bmrw{y`WJW{r!J}<m>-zyuGXP^D|I%ha7I>z5A;^X61|-5?ga`hkbs2
z{(6t3@t$cn_tox>{%mo3zIOPk=<Ru39UT`Ixpsef*e)M;v5vcH&FgDxKTEmk@4H_1
z=ElM;TejGo7CovjqU_caFw-d2r0Pq?+nbw@C)fJ<^<CH3Y`D~>7NN26+M3A4cXyYs
zj@+C!{m-@17Z(<SisiI3GZsFdSMBGwJQx%ilO|8zTJbT-)y+-I&Mt1MR%noySJyQC
z_;p8)xbVtY1We)z+2-Camvv!5BdCAe%+9|mbaj}Qr{~2(t=v~Pr~B7_x#-Snckbe1
z_ty{G<-<x!wg?Fcg>1`-1a+LP%in>zd>|XPe^OLb{Pm!j|H|rc{kwI)-@dxFb#>mZ
zmuj;1bussAzt829wR-YZ@tc#s{ogI1QHZ^Nzuk`7Q?c>Z_Wbp;OtZCgb$zS9y}9`7
z>+7$Ny7jfRw7f3;e5Tjf*qC*9*VfmG6?b=){(3e$Uqo8^b(V3hX21Qv9n<t;SAlwz
zk(<+gJ(mB!B6ztUXaw&UXdHF={y(nU?-Y4Ao{x9DvMSUY)G!TO7qikR_0)>Y%geH^
zt(ob*^Wow4>|;HWpuwS%^S0kLY;0m~Z_mHJDfRS~-R1e~`Mp>TL52FOE1sO3oV$L%
z+g*B?*F59)w%n+#SyOkFy<K(Q?)RCse-1P<n`T~80S!ce+FZ?Syj#-G%jrgLa^d9U
zjC*}~p)<ShEECVeZM?xwPEA^&tCoNYvWf0;CpX9a{q^<op;m6w@^>+&nU`E_tG`V-
z{P2SM{F+67e}8{|lV_8`o<E;XgX{xU@ViQ1YZ({>fU5niB`<?oTUuU#M*ODgzW5ux
zG0Amn)>W_9*VbNcU}TQj?En46MQ8JS6^}))S3Wy4^VOA=lYf1AxmeD&YDM5;w_97Y
zr;F*utXQyMfwx~tM1XwFheoTC7Yh;(x4ry&JwAMO*xHb#UZS#AB_5#I1NGFi4!7~H
z3R^pC$)le!JB3nDPrG_&XYtjY#p!pe-|wyZ{dW7+U8UKn>FL?W`(&f`R&6~l?kukT
zVx!%!7mK}oeM3QwGC{$GMNdy<etvcq<fB*D*1q0#e7b)8I`w%KPUiP(HiO0k_g0mH
zY~>c$n=*g?{CO3RI%{MXe>7@Lj|1ho`v1T0gGMuEnPh?nH#Cflf-Eg9K?!zO>Fbca
zRi)cKgBycRKARBT`tZrg$<Jn{&ohkORbqJX;K5@L3o2yqos&o|dv_<(s{CCJ6Em}K
zLBWQd@Av&aqrd;pqpfeO-|tCYv}lo!gF{2+g$0e3k9*C#J{e5l|NHy9IjCRpdH(-B
zIXC_0T7mkFc0Zp8U*EJj{roKR`!$!hWL-TKvMS^xsIzwBgvaL#&is{UWP>JbYUh(R
zs{Q@VR8diJnNus*veeVlo=x_*Gt9oW#?Wv1Wt;zhKIc7s{OD27{Q37)U)vWy^ZDFv
z|K}jcoUE&>X127jY_9$N&HJ3=hUDXX#u*nBf>(#>f<_~<uB=FW^ytwU>-T#ehn;&_
zGV9yh+tqj9SHItz{%*%(K4BrDq(6WE`mT-I>T`Qr?%5-q!e<vcx5qraSNA)&`1{@R
z*}uNNp4}y?J!`@Qfy;X;izm;R@xn~z$<sM@wYT<sx#Ybp^YSvVi;JF~dbaI$p0RxG
zmx=B-|Nj0iz5H@!8;|6puUkJA$9=X+TYfnc)J=YJa`I=L?TLrkKq+2WMkYrqd|l41
zZMoTEx=|quUe5`SOzye4DYg6Mt*xt9#_Ze#!Y{9^oc#0G>-C@aJhLu;XJT9R#Q-#~
z!O6p8q8qiv;Qznx`}Hg5srk>#kuuNAVPazHx%{$3df%6z=lQ3mXsVf+T?2KtK^QdT
zbY3w|zqFoL&gRCCpFf{kihO9DrXQcz#v_?D%Oo>tRmjRDP@FGz>pe67|DW{9lO{bX
zo&D$D{$moLQKZXztILI@q_Y0}`SVFe>TA;UDt@Wrx_fPn%<Qv1d?*NB7h@?bCzr>@
zC-b6o$IH`uuRWb(Q+Wv-Qm)-%%Yv4AfkP{9Z<U&z-Mu}Z&spacZ<h$JnXk>d^W9E9
zIhzc*$|r)s>*H)evFGIM?ECuKT2QpyJ>}}+GNbD2tIC}C3CVM<%h&Dvey`d$C1uIV
zkd>1-xwwpcXPcRV3eMXx?x0XgKGtKnapT5iRbO9$MwhOvjlTZn-QC-{=aiB^)vb@u
zleo9%+~sd?Z=e19{eHfZk`gFAb8>PTf{XzTeMj!C+8TXR`>zg5*W|-9m|Q*!Jvh+F
zyefM8x^?^iRb5>j?w@^a&BY!`<Cyya&p~;&q-4vgu(hC;-OD4L!l1EekU~{;_1(QO
zAHUts2iFbj<Mv)z8LYlGdb{7|w6mA)|Nr;Brv5M^0|Uc@PhPPMCr_Td2x{QIy1F|1
z^Ru&{Zc9+mBzFc$yP6$oXJ;*yulsS(bkF@$Q?;*dOm_F3YZZF9jd!w2YI^$WvbVQD
z!;CR=WmI48`~417V3vM(a8OBhCOZQI!;WcFcKN+XJv}Y->#M8!(Ru&={Os!QFPDzq
z<J`{I)zfojj%9JoY0&t1PY(~TyxpDL-|ljiF6#dCt}LHl7gaG8WXQV0rFsodjz2uy
zK6To(Wn#Kf6>G9@Zd!WVXW!2M{~!6CGc+_TvYH#0{+E@3fuSI^#;D<mU)HnSwp$xE
z7^J48XsD|n4>c=qyU#sUH#$sFQPHaAN5RE#36S&Lexxv*l-+;t{{8#Ou?`Lm(KFYq
z(V40pe(v>a78aHry{-J9AbR!ViH*Y3)6=J`%(bh%l^pwSN$AehQ`7b5KbLrX^XAQU
zMfa90U!Hw)Q)*X7$Bq<B1_p*7ZEM!(yuH6aey(--w+zSTKOavrOuGF=YrE#P);<}_
zMGqb%Ox2CP7W(bY&COo^{^h$ni;9X$zPt!*ZEt_RbAIaSX_*Ha7+Yhi85kI*l)T^j
zecrF{@8j=W)tFji)X>u2zB+1a)~zj>laKFu@+8I8-F^2zSy@@#<Q~xEhF<Kh9n<PR
zpEU=y8KZA@ySlh|Sk*H>JGY~|Nz%4zi<<wuGv9K~L(%mM-<IAyH`m%U;Q+(+Vg;^q
z>dYM~swyg=rkt0rZ|Q9Il<)8EN*Sm1td9Bp?X9Sc%o@$$Wjk0WXa+A^k#w|c7ijqN
zj=Mm^j8xcKfV|DCSFF%5&A+#&qwmOeR#w*7t2>jcx1~eS?@QbF>M!{DcdGVO#wTaZ
z?_b%Ne0<8RSz4Z;Mj@Y^jfQ8{my7P9D}z*frOo|5KRX*76Ei1U?aPrPE~eSne45$$
z%l3vjI5fmnJY?;aFm&2m{XOjYxw&7DipRfb=C`}ht-o)DR_H2`<BCiS3=DQFL)a!9
zIpVT($r6uAGJNe~IuQ$4xy3xJ?3*i>dQA;k9i|H!?C-bzHse^I?CPSYr!?*C;yOD!
z*Zq^<DOdL+ajJH>-}*hDy2SM3*4)~f4eHQcJuy*vt-LfSWt{d(W%zmj|G(+$ivj}!
zqjr^K?mNXNYZc<$&bN0~7ASx1;MxE2@$r8BcV1J%-1}re6IWlC+y6cJdP)0<`OAD~
zZ?e6;8G`<rZmZ2a`uYCVVu@s*!tg~~Zf#2KPD)DJQu+B=_C94X28IJ$8=mi9{d}_V
zLS_aA2924+eR;zyqoc8m46gdBs;)0zzWk{tFD13gs`QmeVlOBxx)_*#?3gk|#56}@
z>6<sfKkun2ENH6xk*Kc7!oVP6#l-R8@uka`|LfQ6QP<RxkA4$U_Kjib^5wz~3=9qn
zl^YnY_h@*Y?cOcK!0<rIUA+XfQsmkPZjJ!13!O3y3_rM-I06n`1T%$DnOR^3Q|d~b
zK&4XxFCz;B14Dx;ivZXN0S6Ej;miPv{RG~{35+{*)SUKM&9P@-_-D_=(cqn=bY%76
zpUeygWEoiws2U1By87@BBg2C}1}261GdMoJD)`61Fo8qCVc&%|c?O0B1p*EYrx)<r
zGcY(jRBT|F?kHWyz|e5WnSt?Buh}0428QtNP7aV|a69oj2%n_y%tz}O*70g;YI^zm
zpD+J;;X=UGmBGt7vRR(Uf7fSVXl-X`Qkp(#(xNur#Z%_iYTduh!V+?U-~P=LMZTkb
zzr`6E4!JToPW1No|G&R|`*#)Br^(%OPo0xn@a0R1+=GBOJL(x3G-6l;B1BYIRu+ac
z?QpuYpMgPy%?g~LH?+k&6!<O>He_IMIO)L9cz!X2>4?lcXxid;gn@zKXfFd3gI%9p
z07Jv177()s%mgg}vO_Shv;1;kWbk5BQv$_N0`L9?292VUrhQg(?5CtH{rgY%?N@d$
zB_@srC0F$qs}KKl&J4Tt{{E%7`UOiqy=2%_{yxt3>y_ZB{dIedjEq8-`^kda(|<l5
z58YQ&8NM@iciGGH_5U`5MxTqGo_cxC`u!FAe;@f<+uFpE-!k5Jz%cYCL(z*1ibszf
zTa|Tnm6T=ClBVY7t%--(Y=6Jm49f3fIuQz<plbd0w%pLIS)ri8Vs*bc7nXQV-ctL!
zOjTWdwU6X{Ti1qEbYF<guiZ7zG<zCo1dCVN4AhaBv;@>;cyn`e)%UyQQ)kXxxnO~U
z?+gRS$jC_0%x%`SHJYBFy8d{d?9?e!K#E15CxTM1-O+USgI0x)T2xk6eSMX8I{V5B
z#pRb*7Ck-XIqBK?`RjlDs0jZtVF{nC6{wM4{OrueaFD(SQV%vWs_5zY9h2adG;#qA
zR`bbPE$O%W<&nSl>om7sDbT3w>kkhPdwF{YcZ=!TY|Fp7Y3a7SyHPx*puAKw{k+-1
zS9f-91{Lmme?002)d?ym9~QhgsXqV8=kxaZo>oOqIzY=~&LsbaSMTnrr>AWVF9fap
zYX6zTFmXvo2M1{E`TL#X{-);UuP>L+&pOn?xhimRTN}Upx;1NbJVC1^j&EaRWSq2Q
z%^Dr>a<Kr98ncF)9}nBBJ{)A<TK+!ny1tBU^|vcGH>ZCEby@%Z`dZ9;wEEYV%>K8V
zH*Z!wnY$y7fq|>5^9{p+x#!uy6=LP*XL4s(?<#-4Zl-a1*6V9)*InFLG&?Ew#fgc^
zTzq`zuCJG0?A{+15HR8Prn<ksR>tqI3om40Xt>nZ`KIAg?zcBLXW3S7yS?emnKMbN
zdf$Jz$?)m(d3$XOiyO(6etvyDhQI!Pzb`5$w=V1Is?5vFeC3`_nmk!lR(9_CTHkp#
zk!NQc+gUIikQKhkxODb*{VCgXZZ4WJV@A@diTNLHG6+dZu6%lWdiMK!dv`r-la4uU
z|KkDk&!0bEE}NY<3AxVaJ-WN-sTXK4KKWRW=CobR3^lyMHyIuD=JP7}+k9*R4N~5%
zdc793F2Tvk3A8jrH+q{7XmwH6l@*GfQs#Mco}Hb&e8&z8P{&){Z%#l`(xO?W*~<<#
zvx~oX1Shd$>C7Itx8;7l8XgZ?$TiC-wX09gcGa%Z*RPI>$6pclw|S@)j<b61sbifY
zQ1Xa%UF@F!jQ1aJW^|bpwIySrs`s>*Z80GsQ>N*~W-WAM;Og?*b6{)tcl!skYpfa=
zH2%Ig!X2}_;y?4gP6nn0Qx*v87rcG+m;Z-QdSN)oRR^{<lfQy+=7m75B}<lQ*xK6O
zf9mY)9J<_ZuF@JoFX4Cc3=Cd;OdMW&uvJ(56CeCzWLVIm*s$OTq~tt~R&pvF{L9SX
z!0F83s3`;~IG2ij=VxG0Wt@9~aKV3ABZ8qpsJBz4&~!(A!=!cwCI*d-GdzUCn}4%|
z+Yk*x-7v{ckR&Ti((^?NA1G5v)iE;aED%;{xYTuCpP{vvfl0*B%8^N9?T<f90U{g<
z4uXqelCF&mOcBoN9t=xG=f^W}@k1SWSRb?!^Fx;-2S_~w1H*>{3M?90;3~5sL4Zj_
z6r2V18XY+Tc5o;#G<a*h%{|~<{g?5;bx?&`3FnFnIxsMxaeoHfy4^7S+b`yZ_X$c)
zpm+pT<O~cBf;(?H3P`vx?&|=>Y5>c+G65F0z=riopar2KjjLr@8XZL*tOmEETwi6e
zJ0=LQ{tyE>Wx9iO4Y;aeVE6=P)_~lK#MJ9H`@s+pF{1-i>*K2Yp>=If6DtG5gT*sE
zgjEGWLI>ClC#rdAf$VAEPg3%o5&|-uVg50fSsIbBFbBypFyLRpD$yp+5U^xMrzAsx
zA`=J0f)fV9#taXVSOgdxCMK$-F&sDw@)|c-fgCg{U=0(HLm1E<4oWKwQxbfha6rOc
zW8sVwf(`nh@CtA;oT$tY@4~>yu;56tk~_n`X1^DpuwFyT^4j_Q3enqg0>8hzD=H+k
zs7q8ERE+(4ZvX#fSlab<v9B&I?FJ3PO_(468UlU!^5xNxWKa?;|M|tGWq$p?ouIPy
z+1c5zXQs~!Oh{Pp?d|R5&h30VPc2!tY*p^<ZJ=dmYJPK82&?;LTw3CJYhUf|Ns}js
zF6;51uLLqjYkuu6yTV5;Y`juS^6u`+e0OJO<+RxbiA|d}ZQ7E1+YGc8agvC%^y)rY
zYb{Mp(7@p4&{PHnu2?TGug1Eo{JgxObFE6dHn=gYE47n$xL5zbcIncknTJ|9CoKtH
z?zgh$=cghInY^c1t4UBud9B4(2q>~RO#FD$PC+|-UC7f@Q%gTQa0D$N15J9w?A!#Z
zwJtCB_nyQjZ?|U47L%<R7Y`->o~9cOs$#aS=4EhL=m~0befT(U$=RPj-rJ_8&tD|3
z(xCKo^Ztf6H#fUmT3WukxVT-e;sGP5MFAQ@c)foAx-(~d_Wu9(8)uywTg$+}6*y(d
zv!k(`3=^IlW_<GG<m6MQPF*_8Z@=c`WOeUJRo~vMyu92$`_+||RsViIpE`A_s^_Qg
z-@o6mQ&4c2G-c{kS8zL+tMk0sL9O_Gd%%-@d8gm+{T?Toye084Tlma7YLVin&Ydf(
zmIbAz@bl^QjGX-Z*ZX9xOYW9l->JJkZtpIYm)GO#OHKEl%Izv$sO;XSVPRnrzrU_W
z&Nj-?(J}AzudlC{*Zut!oB5TIfg#`wXuSO9=JegVr_Y?xS$69O-+W#LLqkK*qPL*n
z;HwK9nXi93+|KW9CGT?R@Zr$4QKq@Kwwz4<4e3lj&yJt0?jQE~*_O4e3=AJs@9hh?
z2kDA+t#sRWFnxBy*LQcLk4gB>x4WDBb4%uB(3m@@y)kLZgb52&y{BoInqCb}dwOc>
zt-aOTtG>U>-FgnxLs<X$X1v3q#fwc-P6(WxVd!jWX$e{y1{(e7xBnOM_*idnuav2Z
z=i_6&m-keD77-U;9=O;IG^*p};}fzu?W{?~hX;>rK}*{Y9RC4o=WM@U7kxdxelKWd
z!Qbwu3y2+8`!%#z#`03=vaq#LQM=35%2mHH?3J|+dwObWa81n~Az@+3zo1qB8Yy<N
z4uAgq`SRtm|Ld2_=kH6|xnhNeZtSirL2E(I&7OY#8zZQC3HSsmf*BYn?_c2WDq$^=
z@D^92l0z<5ihWrpa0;uPcv<pl+3dVe5ui0aps9J#{FjGE2OFQviZ5TjB&|>d4X^A5
zt?JM5^!2?8T6A#WfW!LNpsAKsp{uhV9q9yhP}F>9EqQx;ySAleWa_CH<K>*7fsvr=
zXC{B0VVGR<`K<Zt@AvDkUtH{d_ZoqokNZ?mTAyF+YjW_{qi%iB8k4=hUagM1ety1v
z{Kt<U*L_g*l(i}eNJ&}p?99yM)w4i(<oxHK3`L-c(O)kXS3PKCzp}(rxc_TAzkFC!
z)U2p284owEOFcd9)~?dky;-2)sOv2A^P50(uS=IK$+)^IH14{*Ws%Dy5izl68})Q_
zd?Y0$Pn|p&cym)~_m+8}`fBTe<@JmwPn@{0`Mllg^m&zT2M->MJDrl6>N)Ap-@mrk
zSXo$hfE`{?T4U8<^Yh7ME>6yi9fHcAbb|NQRC-=|d3m|*wbb<V-7r<#IIrE?TWy+q
z%Vh7jTiIT|zEf2slc&s`yLQeT8Ci=0hpF1(Whe#hk4<OSyY<VhU9do5d+Og`UxWA8
z{pEU@!N9<faQn^8&8F4ga<-?=oH_Goi1hu3n;BJ1O+$}K*#3I47}UKz{;TTiE6|GH
zU&rnLErj)2QX##T+MCc`i@E-kDrN?T1t}lCwSJnW8!aL%9PDHIiPuirA#cw|H{FO0
z2a<nI_P1L(S>68?XbNm^)mIhJ#2;v~IVd<d*7@VQn4Lkp%imv{VVJz;8fa|pL#my$
zgOiifmA%#F{ZA*W`%gRkFkpM$-I&wIdZm|FetxE@r{}lWt@l!=u=<o4GghRXot63F
z!9lTXUeNfh+5C4c^TgW^Km7JSYHL>J+gn>fT_%&VHxa68YM}Yr`St%S55EV+Y3qsf
zdd8EdUtL|jSFgXT>(ZsA-n!R8o2Yhdi<!J1)Y4?okOMdH7_N;Lqzt2h0BYt?kP?36
zFx=ddIoYj8Vxe^Yp1{V&#$Eq@y}r8KUmmm)Vey-FvAeG<^%f6Z72>I=s3>Jou;9|=
z%iRmFfy%3V?ch728d{*4+OJo`<5z~SkK6Tf+3YWu{q0}&n%@if{Os)3!pCl=d3Pcv
zO_?=o)wbN*pn<Ac7KMxa=2$HBoUE4l``cSDKfkb<Mt0R*AfLRh`S!Bv%nU=&z(sV!
zi@UqG&oawh)hVo=b!|=Lq$QlfY8u+w-nX~q2A`c}s_MCM<HlDvHiEXmnB?5pkhIbs
zRL*zTY~u`jeQm96-QFD!+oVCI=-WFxFK^9(&KI@vd%n7`uvtl2*);u}O!imMM9(@_
zJ86ec;NcMylaNUzKRzTbUAlCoYqyx()2MAZE7wMEzqL*dWcuZGD;YlBtA4L(Y8qPm
z``c6%Sy-7HXa+BHH%7UG%G>F&#*8V~*TsT{Hg0XnT-?aa?lo!CrcElI|Ni}xd&<nj
zbmtVv*E_1NyD<Fx`Fwuq^SR~VAhIrBC&SmSva;sqr%6jLFZZv`nLKyy+b~c;aNz3a
zn}HjOK+7#+ca>cH`1ttOr_<wCx%En|E8Xe49%+Cm?B=Fa{oVZ+7rSd~Xq?E6++X+i
z%KG^ItJl~vFfeqT#wcztGd}t9@^V*y|Mh!&tG5<C^#W~?$*rxZ*s&^f^)lbtW|cX!
z=ge92;>C-ax9OjroXonnr*h#HNd^W6)n@eZA+?C-=jH~#zqc2Z0?y7h_t%Zy_9aSB
zQPI(RnoeL=)~f8Ar>1Iet^S_(_1)duVWo@=3=P>$=l?N%x{=(U`SH=wSNHbr1}zQx
z_xt_sweRom->;H+XGh^I^Za>_9z8P2x}q`HqR^?cvlFzygN<J<20rG;HX(oi-!Q&*
z=WcQRYmbh0+g^LlHUV1fR=wGH98~Or=3zd5{OIN5b0+*hXjYEl=kv{sDPLb*{i!D{
zD!O#3_jIwuTu{__*xg|VjrKa69Bm#_(mecQ|LvW%R@dj>@;|E6UWNv2U=P@^kZt!x
zjU<y}_mZ6hlKWYErFunmHfon`Y+&8!wsE$GRCV`)jRMK;tQ#4$I5h6um;YC`Pv^Ge
z0hRf`t=fxc%-m~Se*4Uwxs~&lUnpQaB$3=>cuYduB&NaO7?{n)E3N<%O77X{beNR`
zES<b&R4F||;7|R`nKOTUJT4!&t0XfbG7_|r!lLTSi{*aZhM?Hl_+LcN;h%kdeZ5ZH
z9*Mox-;YgF^-f4iY6@E$_3+Kj&GW5HLCOq|{WIRdz*z9{k!#NFZM>V)&mVhpbMwXh
z_4P8=WjuO%dJ^V&cb5CTx7TZWY&j2#{y%?o^S_av1H+p;JB8KM)FccN8cfdLxg&GG
z_Pgx4xz_FK{_|=Mz4`ar?knE}s2<CCkGbvV{ndZW#Ny!N!=n|lf<anZdg{;8*Vm>_
zGln?j2}rW0#>Q)!&PucWDJLf>DB0Bh`XZci6r9{{)boogFx=Z)&0btwy!EG;nAoKv
zh{hQ;YV)lc>zTa0y;D+BR-E<s_n$s3dy$S$-rZfH1t<Tq|GEFVSis@k^;d=sA7Vbg
zTYaR^=6Ep#{n@YoZ@<^iKR?)C?Gf(iuqzdsf9raDeJ^N3@vpD1wLULiwCKW`NaHuR
zxAU)!-X7M?&ClPyetmx8(vx6U{Zll{zt<DDx2pD)$-k*TxHuT}_4Vgi6f))C-xr$M
zQTOjpB}WrTthZ1%YRiFVXJ<cr^=j2uElzND`Tf4)`#V`Vn~DZ8-Kd&ZA^*1i;Nr0B
zV-DJ1S9@l@J!tlU?L%S8msO#w51l;8nSO50&m)pXU|)Z`e<0l9!^Yir*TwEmI@H2h
z@$HS|ox67h#l+g$`Q?>NOuhs!KMr={je53t#-IO<jExN|Kc(c{+au}e>A50quT|Qa
z8I5UY^^CSHhOGsdRr~4+SdYZ-^ADI>z)8t4ETck30Bq;6h=mWCTK+2Ut@|tW_t#hF
zoSZky{aS08UcP*JV@IL#JlpDTD}xi~ANc+Kec`7ko=cW2sd*K0Lw&-mSzQYjDA-hd
zco4k&kc75EOv8ryCFSq$B_3|$t@!n2<(jVof<nT=A0HlWw>f&+RzOWvbz$b^WgUHe
zW>(*hc8hC-uah}9*LwQ$+|y@c^8_`PcX)VuI^N$`Tln}`uT5_B%crNOuLxSor5Cef
z!t#op>W7N%G4EWz|IVGKVvRR%-mLiYLeR+AxVNwN>nqWknwk&C<?Ekh-u60q@?^%<
zRif)+cTZbhVR@c$!gr}tfB&628~g70^P8K~12jZBy1I<4zP-J@or8zx$lmJjpSI*K
zJ#xe)A~N#f_xttdgZJEd-!SL>hB?XX3ijnY=iC1iY<zi`mE-sEQ~l38J3BiyA~&h{
z&9j-gykaN&p)+TEKncUs)6?yET59UUgU#%fa+#rd?~1w|cDlOM?fEZnSL2YAqZ1Sy
z{8>c*yGz8mYK8A#r_bJf=llDgpPv^L7ax9kdHH9N`SS1U-Q3vt<n4OI_2Zss#=R?^
z@EPKCTl+2t%lC<Od;Yt$eECw6lA8KdGwxlv!@2T^a~qi_%-?<Ie0<&CjsyR8?_fy$
zUs=ST^8Z<#l-<|j|K|J4yyky0{c&ae|K)xE)gOHSUw?c5Pt!kFc7A@|{_+sv^8Jmx
zw?K>kTqbbBKAjGVW1YMM-(D69o{&hcJpMc2n2GVvE1U+)JU>1<I&tpYzbh|K@Ld>i
z;OJ4-Y15{;9iKIG=E2*yrTO^ySSQR(v<nqnA+uXyeQbbMYHI4iJ9lK3EnD_;V%WTG
z{55YT-;enDRqBuQ&D*z?O-w}Q&6~IB+Ts9>fISt3GiJ|z9-MY2VA`~4AHIKgUm3Kt
zr?0fA=+NKa-vbx9aNe{md40|ITh)^jukAw4ZEW6H&#dPV(fH!}`uP_Pn-mi6?kfE`
ztG&0Ex9-nJ_Z_=-J=2VP*SH~KW73ZL|8?_{WMyOu{`~l8bCl^*@$_gGD=Vu<KR!PG
z@adD0)wMHcco<T|<GEUyBqb#){{O3;_vrrq`u`{Wn4auoD=MBI&5)Xw=EYhPckE$d
zak2BqM@K(z$z7Usv`f*>&hGq2Gc&UpR;5~}rfN@LUSWBkF+Dv!@_zizou_q~-oAMw
zASK1cFvBEM=-d1I{WE4r^!Bd}T+C)w@}gm7@Ny;wm%x_p?(SQU*TwE`^PaBvaQFLt
zmv_u7eSK|V+}^4cQCn9{advTWnfHnP%KiQP@^%Wky1Zp&Wm5A0e|^o4h>SdV<jLce
zq33E}tPWrQ;m611ko9q~$#3S@|LZhLJ>_w~-10b|?@np&cORAa*SRG8kBw>Az$7Rt
zn)+pFx^KU~kI$LQ-{#Jp%gDejrqi%=sj6B2y_^ua$?E=W3?|vv&b-LwZfZzA-gofq
zSzZ722k-7KXJl}6bgaC!&FK5TzrUYr#znH^-Pv*RMFqo$&!3qYX3Uy(==N=E|JOg3
z8<?6NJ>1U!*+ycC(?SM@h=_<M=}~MGXYanlbmGhz9(DhDE<r&;psC95yB%CEB~SVP
zT+U%#=;|=H=ZYLmd@>dc3>9BqOuYCJbjC*d{8~1J_xCyT^Yd@sPX~vrYv7s7|K1#K
z=fAPDSlz1Z&5EyuYooRv+Ln8J36slgPGPkJM~=8;Gj6K?U-#zjZt;l|CrVA%kKDw<
z&L?wVqO!Y*UjEHZs<*agw<|igF$COi@0BoQQum*C<m>C}rpL^4ZV33!Hghc~*l=r8
z;9|Fj>-YaV^z-v`(_?&6CLB|>!>|2Po&zqU1O){xik@&BI&{e7*!Q=$#dV{%9oc@r
zj{Cu5yYu(&$3IS%WZuD$$ok}9GyBg?^Mq8rp1hQcdfIt<OXlUCzO$7V&YwGHR`vUo
z_q%)d?rnPaf9mYrca%2x&$p|*wQmzcqR-D*i<%z>$9kpPw`?)tk+BdE)ed7}ICAV*
z(%D(28@6pbHpjB~%RQ~HudZsVsHr_V*v!6R)22y&6Xfh_I<{;v*|BTat36qdUcJ)F
zuD`V0Uw*2Rrh4q>zkmK1<lfq1b5v{p`J&?dOG`S}C>5NVqIqL;I)C1s9gSkTQ7iVe
z@BjBpdsW!lE<RbSjF|U}-TMRf)l{y%U0Pgx_;5S_SG(z_r|UmHE?<9T*PYw9r8lRa
zzqYI9?yk~|TU%CMdm6eb#L>f}qeN)_?T3fkOW)n!Rr0dw>}>OF9fw7W7HwH4&Twm6
zZg=SFFwuy2McoHnyTul|^-4uO*45SBm~l~QB}1Z*yq?1i`&(V2+9`97oX&MGdUT}I
z=6Kfcr6&SFIg;hn&OhfP{Mz~D+h)#`JU8EdeUa&k+}qoJ{QLd>;oG;p%I<v$2b)-}
zt_#b^^jupToqTeVDyX#+vLPiUML|V{rLnQGqoc!NZ`D_mW9wsgi+NAeIe568|KjR!
z{i%~*=tgflaP_LFvRhAsM%KIes#aD~|Ni~kuzmaS4-XHAKANr<+hv}AFX3<-?}qK$
z!@GOCyPaQOTN}7FE0l$WWyKM_xIGf)`S*@AGP7^lHgf_vQbSe-dHDE%($~_6rP15-
zK-Hv1=qeG=4l1$i<mAPh5A3M_zt1t8Gk$-aZtTp<M~)m}(bUw8ntp$8wK!<g{k5l4
zwL%ZgGR@wiSO4parq^`6wWXCSgO+}Ha#FbW^gR3ezNDjFnZ3GETUMOY{s#`Fe_yZ1
zTjj6)_viEZ)VuGF{rg_Pc!<mO>8Ys~cbDgXd3DwM@!q|+c;sw$Fl;u8OG{gJj(LIJ
z$B!R1A~&VjrH2&sRL+;UtZHK;Gg-~|QpKdq)YR5{d#jV5otat1Jt1(h+rjJC#X&3j
zXXfYS^*ub?{`lNnYYE#blXG({7aQ8y*~z_p`Ep0`bG|My-Bp`%Zf(i@@#(bw#0e7`
zIEB?RdgAv~7|xk9=fmsu`&a!j2wEFuTJr9WWPJT!Q!(8rm94cWK<9R}x3{<7db^<X
z)fLBz3JXv&dcXfaXltq71W+5{^Ru&uHzXdu(#8Ma@xR&|8xm(&m#;g<w8V3=TEyNe
zQ#O9NHDyfl;^OTSCJ6la@gw6-p5ME7?<~sR%((S?J?NZ)mpSj#)6&{nT3FVee*F0H
zR<VKu$CW_&{nD;K*VaZy-EN<v6Df4@;>D=s|34n{TUc6V#_E}u?{rlVRJ62=eEn(3
zk|j3Vw<iCey+b-KOykrv-R_ma%NN!B{FHHLhvBt#v8z8%*UD8=Rt7hbo?qOQ>Ya0Q
zlj`~JN2hB9GBLCB9a$N?yr)k$dYjI^f4{PGZf)UQxpJl3@zZDb7Ck*R!!&!E<94eI
zqm&Z@b8M^4{5QU-kIu?kb?(@Mj~_pJcza*oJ#WSgiHeGfjM%t^PONj)D_4iDJ#?Uv
z`KsT8#{S+sb{>g_soLRLz4te#^Mi`XkE_;bbiKH;a`Lrr?16!SR{0BmzFNJ$;LVMV
zOs8#aY-ILUf4>&V@+wRF`;U*wbN8N{IcwIVkB^T_P4}H|Co3r_`Qgi#BmDM%8os{1
zp8WUMS5R!P3SHfH=8TWee7o4!yQcp6`&Up>vU7gjFV9qY(78fBGYlAie}C_Oe_!p^
zW7pTm%O@r#R(yWedu!8_DIzUxZHwyu{)&3M|K~I5HF0~R9;d%KHC3B~lhg6^G+onU
zWiKu;zP`5h@V&j&SEsqUxha{Lggn;`Dk=^aYn-+2f<zF@wH1NPf`WoU&qXX#Q&JL6
zPt&!^znJ91YZ&GsBqWsa@K9^W?y_7VmPQ>NofXB;&uvLRFL&z98IugzCWU~Di(E5b
zTv!O&61%u~MZiKP&L)R#+qOM<{@i{4-*3{X>FLrk_6Y|Vib_gU0!2<9J=&_~H^;*~
z|DK6P*|Re<pS*nO*`zRG>sHgRuda6U$y&KYMn<+ys{Z`!?8zfXT12>5O|!0aTw4?A
zeDdT;w&S;N-khk>6|yeIa+Xml*WG=!w;x0#tE#9>P~a$eb7Q0bu6h2F|MSn;me>6L
z_V(ndQ(d6LFTU-VYh6BR=~C6w7Z)7gTiv~L=fv^j?vKmWw6(kU?A?3v>{;LJJxiCW
z`htT0(}4pHn>KB_wCm2jd-Fh(*`+_f->>&~?Gm}T<IKsEouD1lrq`}tpFU^KoGp6O
zXYby+)f6;c^ZL`r$Hyo4_V!+Tx;6W{T6lPP)t?_5Z*AJK!=k9LaG_P{tBl_LRbRDC
z^X|-GaSZtR`P;W;tHal4^`6$$*6!X_{@$-iVZzRxmX#G16WZI^XU?8IS%Krr+wJ#X
z-I+hnzJA`Bvu9Vv>@3=na#F~u?2Ux1by-hSbMwiwXM4|_JzFXlKF_AoX{py#C1GLV
zS65aF`_8kOspdb=N7lMbMOauEw95GC(W99?zJ7koR)wyfq|p_!*p2tq-QDJ2-`$;^
zb!CO)B8^GQm#eF)s)|Ou+qiLKN_x8cw{PD-yT+on=gF>(-rncdE9Ls_+qabT^yQx;
z%04`B6mp#?Ws>1g{r%n2-R18u-Q8WTX=F6%)%ErMi!?6%`}=$AG2>~{;tFpjcl7oy
z^_;90`18|KPZ8Iml9DBg&TSWF8mE^W19{}v*Vpc@T_TEsBA_8jlhRiqzka{p&wCHl
z{mDGiAsDjAg;U6NqSsU{*W_b83tzm*XntgDZ2WS1eBHuxbFC-0wz76E^4OYnb<xpo
zanR<ddq1?p*InSZ|KqUKd%BvVz>12Gk3<9n9H#5VYJIr#RHX6c%a@=vidom!$<CZP
z6O^R3=fy^C%aOFL|95A>+t;6-&#(9TzkJD(fcbW{FRrbP-gND!zZK_y^IYrwkLB&_
zd_=WE6aqz7mb|?5<n3GEd-v{zEc1~Ra-C>nW3y%6j;C8nUIq!VG=f5Bwps3?;^*f;
z`>!(|AM5>cR6KryMi)rI+K+a2b|G6b0(aH?+;nS`_jJ99ix(^Z{P82B_xtzn>cYap
zQ5zB%mo8i8^*J~=IP>41pD9U6PXGS>lS*c0V)77im9nd`xVx`*_NGmnG_<w5^X~8S
zJ>15t94Mlxps?UT(e!ARc~+%eYu2neaq3i8)z??9!OQ)Yt_)rtbbg*KD0ArO>b|_P
zGC1n-)Oq&xe&TvD3%JGgo>cBH{P4i>*Sp>CPaHqqUQ<)EqW=HCk{1^go0IDQehn`w
zE>?CF@DOnoa-GQHxS;6isf!bp-M<{Oul+UU&!0ah?%j*iTJ+}a+mrY2&!1;gxyTsQ
zg)~V$C9*1Nt5#%G6euHxu8o?y%x|t&{{4NrA3&AR!i5Vj@dsLN&reTx2W>r*J|E#1
z)3Cu`%g%1zzQ5n1Gu<`1ly>gkeR)&r>5_kwrp}w^XI=JY0iUcDD9>~*^7#7ds`0B7
z3vKOgK6yKzef##MWM^yt<pPbtH~Y19*v->eAG>?nEVEoMuGS_WU*DCfr>BX?$@yhw
zW?Ch0-n{wci;Ih|tdF<fw0*mJpa^LBs7diNpQ;}p5*we-yRI~$<Hgn0;ajq<YGqwn
zA=tUdBP}iM%C6GvTibG__f~&Dx8SXC?VqP5@9ymU^7Hxp$r@d3$1^8Qo$A`oC%Y(a
zZ`H~(-Mzh6f5$!f^6IMg)c><hGM&QL#TaUQJKWB{CI7x%=C8N6x0~eNGTBxCf8V_u
z&(F_aJ;!E$_4mF*hYs;*WqnpISNiFiaPIw^&(F`Fym~eCSLnC9yURg~8M7`fVhvpt
z(y0}?%0)M7%Yp|F5*FVBZOWLqc=6&}o->-8nL#@U)8F(;o1Zv&(({+<_51hd|M~kD
zboiD^my)P<SkJon{p(EaEG;9g8jX#OmBq!yiwX-Bjg5_kSQ_{J`Q*KJe^Po%%7pdn
z*H78r*~vL`#te_2-{0JvY-D7_rStud2GjpPpZ#B5SjZe18R_{uM_XI_)s2nHvAfHB
z)8E*8hJ}g6?yH%(E%&zD?QOY>PfypEE;XI`;_<)VH#et$d2`cvaq`m>{h&;#sj0c8
z__^OK<8;2WGmYEJ-rezBAHUx$OSVU_knxaR<M#afmzMd?Ug6p;mXej_wQSik&^bl7
zHYT&Xy150tzP8p=#1%A$<oMd#%WKhu2?D=9oz`DE`Jq|vtqXm!)-MjX^Rum2PFGwK
zpz&h$`h7+}CVg7!JsosJmezi)n>TM>1kJ<$+cb6JL`UoLcT2={qb4YDfU?}OWy_WX
zXn+)c`SS8I(|OzVt_v<5Zs%WG5h!x<-o1ICji_t)uTWK2zdXw{dxhs@wIu->9wM%*
zVt1Rdvav}`$<KR!e*W@@hueccK03N|wbikpxVxG6_u0;zJzH9~{@EEx&|bunri>L=
zu7q&$^Dhru8|4{3wMW$)6uSCxdpwlg`<8&ZKAQI;UcP)OA}Z>dn3yOcCgyg$Uw-+Q
zFD1=M!a_nC3JMKcVQW0Z#Kck(6CFjh!<Gatb_=Yj+2i;c)HC6gv6!&$=QC;02H1=X
z3mioxB{MH{KDfF%JoDO`NRx^W2~su{2B1>{K$F@UJD-OO&X_vYm6MYbv{<N6eq-Wc
zwp$w#o4-_PEdTn~@Yug{4ws!)a_MUrQc_bNo|ve7V^5{=w|95Dw`?)FvMQ9juCDII
z#l`JW-&^eeeh~(3p$l;SI%9@JOMAPrk`j~ud^^{lpPnXWWp&-S5drFGy_xp;%gf6k
zQ_9}m=?q^V2bzWd@cDD|%9Wbe*2nk1zP>*B(UDFmcER2C|LqPPJ}f9F*LQn+{^E>_
zi(cH@YyIcXpM<ouwh0pi)<kY*%e}Sb;JVn|AxZu6_I)2d6uh~$m3w{sez&bzS06lo
z-X6EN>fn(hEDIMdoMD<RmUV4S=VJH%XVvdku3ULzZ?!pSWOKy|4F-AXh-YX1URdb-
z;{Ja7u=R0k3x5|D7GC<izwj|zmzZu>-rZdX&z#|zZJvK@b@=)XB`<?`B#l^R&YXE;
zd%pak!-orBTu@9&NpTQh>5(vGN<Q9q_14!FX4~`cyH!+JY|FXXRQ>(k!HX9K*G6r1
z+Fkbc!Xj7h8#iveh-DXicw=KS2S5MucXxMx{Pi{4!qReK>Fa9|`|I}J`w_i8&(qST
z=7+$wYu7R^E@A~OH7Q=x@a9d9jAaqa!-o$$dU{-<qNMKJy$d=7X-n>Hv0iC&y$^SS
zgMvUCKwH||A75D+te|vdO{8${?QKV=Xa;{d#(ZF|b@`I#_0P}AYKU;v{Cqn7(sR$r
zJv}@zJBwI5J3BLOY*=_M&-12zw3ioGPEO8}gJ#7+d{IB%-L;-EbLPu8b3HvTADBE<
zJG@P!Ye&^rEgv7BfSpCDd+%=IZfcM=&tv$p|DgEP`<l+|$su-j8X6o;3JH&nbPBj$
zTyRijYV!6kudnkrDS-NxT&+&&;@d2fr!otkIvZ=5k@o)HUPX?kgUuOQ-(ycT>Q7~k
zl(G_7_UU8K%deiN<-gf4j@X!_(xo(2H+mZA^n>jW%UoPoIGYxf{%mIF2W=30^75tU
zB8^GS&CH-fFQ0x}7`)ss@ad_kE2Fk%X>BymyR(2(SZ%`U)!LnlJXF1=EV#JXJv+yJ
zVNS`qFOQCLNA0WGS+aj;Yb$H%%S)}_-re<ne}8{?_k7#xZC4CT)YRIJ^~q}A{j?xw
z|H8M|T9<lHU-fs9uKIU=dAkdZ%<L=N`{hz{bA6i>0^Z)*nt5`Ps+9g={}~32Z{EBK
zd8VqWdhylO)hi1hA6pWjapKOMIaZ~wTtG+vWI9ipH_s2$gkxuCpK4~!D{ZzU_4Krh
zFE20m6kzH7zBpT0Uf#c3Om`9JAf4?!rEhLbbO|)cvYoCUzYLW1Pfk)@y4uXP`r8uF
zA(wwyf1jMJ4q7d=^5KfDTTMF`d4P6UR{rJ@1h-CZY)E|a=8exHjY+d-OLs2v$iBW#
zcgmfq;kT{I-hc{~pc)5<hI`f5r_Qsj1}*Lh*`62s^4s!fXJ=oYrW^gGEJHv>#)prO
z?^4;+TyIc|!nIq>^oQK1D_26Iwqyuy&A#6E>iT;9t#hlsz7o}q-#6#o-QDRIs^;0%
zdKnrTvfZtofBW(A{>;<UbU`)S%WX^7tkJ3Z`Dy9B)$5+0o4Yu2b6TK-L&KGc&RJPn
ze?K0V|MKkYY^L+JwzhN6&9n8c{`SW3*SFc;)Aa(o#dJ?xx-?0ItMyd%jdiisR&{?Y
z1Z(fu+gE&W=nD3G{rmLV=<Ru+)iy6pL;YU=4i2ijHs$`=Iosc6{tDK+F1r4`zvTNz
zkDT)I@-Ed~JbJV>CN{S8-_th^4}+i0oBme&zl5=fxWbx%AHRQJzPQ*u^}hD%obm+$
z8Yj-2>AAHv8??FhO4TQEDJd^CHML7yKA8!7dwajSx7S+MrXt{Zt{Z4sv1W^pukTW~
z4XeY}Ub>mhDR^;T?e7y;uTJgo*cHDk{ro)8B7wcz&0Sqx11GEbe$p-9>AGOk-d+U`
z(Al7%)uCRqoA1cT$Z#-RT@~8>?A%=MemUDo)9&spKK_77MMtM+mU+G(S8G#FPR@$(
z^>Lt9#;G%BmhAuk@AiVPclK6KZ)$1+ZHl~<ZIE_G0<`$}-j69$L_lqQ)7)EAe0+RP
zT)Q?6)M)(u{r&RU=J~IB`g?nqo}8=>I?B{jfTgIse0is^`lYY0uXC%GD}C*g?$Kqs
zzpvICbb?jh%q?5CEYXYIb>UDeH*X#P_4V=oO$q`1a<&>KCLwDJtFNz%U0M10S=Dt=
z3I;W%Tb&fQ#s;lZx3->rYP!DvVz=H)JNs;_zj>@redl!I^y%)h_xIMCnps=VcI%Z=
zeal{SOkG`l^4hh!pc845bKKn8LJXew)qZ~`E2<kcCGE_Nz=WN`C$*W*&#_egddMW<
z0K?Yr7jEB<e){D9{0B!mg-aeC;oO>8TmPR0Jj~P9))o{IF{9*6nBVK)$!7vUBlx1V
z`)@rjdwa`N%D!%o$=kPYeY3BxTRLTmNb|Povu3T@6g<zWR0|Z~KaRY7%y;KPyoD)f
zbXMuY)vHt0d}pN;eBa%q5U?_6X~xY>si2n5)YM}l3a8@Yw&mVlRyKc^;_JXN!Iy8|
z_&B%og}z*Qd_qNPzUf@+@?~#tZ(nV)>ALv(J(s>7=C{9av|F6p_WPx!-rjq+JYCB1
z=H6cG$mr<FGiOR}&AQrUmU~O3wyn34-`3W4sob=<JrxVfK3P?N%h3v5HRaydAHRN0
zTD(}<)!qH_=jZ3IUNcTRBk}3Wmn%~H%iqVX<lyGv3F*$iyUP@`DmeSk9Lr)45!YD;
ziA=J#RUx|f?%$seY6A9de0;1|IXE~tYHyY4-F>yux@8|89JJcK5j@;_;r8v>d-m+n
zu(geSoNb?b%Vch>g7L8kKN}${?U4L?dqBg26Q@jJxpd)=$Nj(W&GYZMEcKeob1!ad
z*3}Q6&)a)nR`;7@U?KLy!Xf;e;KAj-v(rLq{Az!FIa#cuVE=u?27}1k`|JPj3+%Tq
zc))Pz@L|KcKNT!2EC-GsXSc2T;;`IrZcmi|)m5Q|e}9$s$Xbg{*N=DWm$U7W`ta&d
zD>rEF=uj*7#a*S@GiFF^zwPbs?|yQU>ceNx+KQf@dMTr8VICYDtfH#=@ZsV1j_z*f
zudl8q=H<m@?6j}_C6bqy_u}?;{as~mxzf|q7eCsbdz;PN+<Z;^ez|-1?ztU(R`UFu
zY>$MY)9WI4clSLtKZD*^@yS}XOjLG1bo#XS<Hx6`>-X>2VX^k3qoX5eM5|BUzHhpI
z{Hogd`+q#*UYk3QA>r&S(+{6NA6^r=*(7g&)z?=RB`+o%yV23X0cuMyv-4e%h~8P0
z`sT*Q#RrPwHzY9L+MeGJI;`zZ-P)+F8&XaRt^GJ%FZR%R`~N(}#l?GSe~0B(zPz-w
zwC_solM{k#qPO#Xe|Putj{o8;jOFj|U6q=Dd2jXiE$i4BKz*y`YoAwwv}C`#)7JEN
z{R5^J(XQ$G@kuu}B;MGXJw3|V`9bpHDBoUzV&i2$F1Vj_eDLh-Y%BhTTT+VJ(vM$T
zarn=(+35h95|Ub#dU{&M%}uJ8E?xR?T7N%iC`rO3L!gaMwrf}EYbODgl=Sr1v7jT1
z3jY2o1&!22Z_hj0#LE5P-Mc<H+o}a+Z*NsSo~|3+rW?I&LGtmwf|3%K=jY~L+*@4^
zIv8@n^TN;1d_l9g(c5wk9%|(d+*eci<;6v2+o~@YER9SUY^uNUSeLy4O*LQKnjL=Q
z#*GEFzrVe>xmi6XHkR9_e5dP!8HULlN?(VW<lYhijj^AfXM1sNwD}b6@N)|)mMXb+
zJviDe9yR^`o=Ra=uPGOH&)c%aWNyE=ukY0#GsAY({j~xecT!pjn#P+kV?}9YOpJ__
zNydWGom;n>#_g|LTNs&?qy$>gWE!?G;Drot9C(T|I5>Fj{p;%f^D^H4NxZkGQo_E@
zrb}GEZ&&H-S2eOFl|Mcx{`&G#+4RJ<FLB&W3pO+CEPXBJ<m_Dfu6b*(hrbI4CugAM
z5|iBjhuitHK3~3kSx`cvqxAK)mo;-sWtpEo;X9$vG<nh_0YSlq#&I`0<{8%RU`T9D
zI?%ufYKFS?NHn_jN*z3SQ1SfhUFGlP4jnpF@{WaH#$thC*gMAu@9ysY@b&A_qut_L
z=e^))TCkB}XU$I|tMYd}$NS}9_goEYI02e^o^ic-{nV+VHMO-5U%&2tettfv760(z
zLj|QDzkVfseRVbC{yy7VTQV1aU9u<Z>Z%#W>3q-5%xu12|6dl=Jf5WLJz>rq9!CKI
zNlDJ|@bD{ZB7=3yUR+oxVO6r?O7_iZy3rfb&Pq+u2xPLevlC!(Oh0c08m{k=G&V>+
z#xuvRR_fuyhY=f-SkunTU^F*3=V)5+_3wu5+ui^F`+ISJef^Q6M-xv^)4j1NmD?=;
z9*?xNG)GgzjT;duX=#VfoYA=tN}}iHT8kGyKR2~1ceZ)HoSN^fmRno158u8Wo!@^W
zEWs4E7Qn>|)E@Wn;ArEMUA67av0mwj&1t=kds#wPg@9Hf90VQKqj!IMzC7ss<h38e
z!ooa!eXs8Nb8m08M%0!S*Pfm`cg|}4hCd&V%SY8SXhd(*NlH%MdTgF$G26R$@1mxk
z1_fxu{<>PwIub@k#;nsp!NG!3QmejdMHUno%reXEYG&turF*MX(xN~?FJ?!>&CTi0
zUs`O+ysY-+?QQX8%a*N(*tqCeMJ(%^9fglK6g+gQsH{AA{rdG4Z~0}dM5N7f9NPJ0
z?L0w~L(1-b3%sZ6dHDLa&Ye5=*jwpc_6a-;-<ytdwQt>O3fge-t!i7|U9H}!fg6)t
zLB|jtv(NqY?XCABjiBXzb2Bb3a&<Fb^83~5^(SuKnl())(&^&Gi)`PYIk|xL85b25
zE!tcC{Z;OsIDwtzZ*ENV@$t#{^5Wu_>hF1rr4#xjjoVxTm&`KFzI0-ua^|fqnNt6G
zzJ9-7fBDMF;FE_BJFjIIb52P~xd7^`xh>I;-DLtgqcDHXCi9g+OT8v4aDayYqzn=m
z-rnARenF$i{r&a+6DLl*vNbz=)0Qn$j`{t3*e<_hUPH;ws;^qTvewg1P1E&mQkbxI
zt#0Y7D<>DY%_%DO_wkuhwMmGj@yyw?D<e0jfrj7qGOKA-UjiLybY*hb*H>3FpPiX$
z#lEQe(-Y3An!#>W^)7)b_V)I#uC5l3jEI;pd-iO{++Ek!M!R#hHi_xS`Si=#Dme;h
zXlZpldh`f1MyArGlzV?)Y<A7_b8}Z_U0wC%-{0!3+cZ9Y{1~z(!tmAQ<^9)wOjLHC
zG<mY{-M!V}UHx5MN=l2A-TNl2T&W4#>y-Rvie~VMW5?Rg&9hxCCM_i7#MRpL?Ck9D
zgq`2t-ku&46QiN2>8bng*Vose?!@7C{_9fp|Nc}OnVV0)1sZtg7S~&1ntd(cXqV{8
zQ>VOM->?r03j>W>t$l4a1vJ7v*UI$#$ET;JF21!j`*|fxnYz0At6N*M=Ow*;`<7Sk
zwwLhEozwMVXMrY_FGVjjw6V24dH3$$c+&?eztbNxwTN=5tE+?hLT|qA*u8u5^y$+N
z-ferP_FW+%F%fiFePx%ax%u*+pPxUkyj=v!Zl^4Nyej_pr&7u=$z|T-;Gm!-2YHLX
zRW0)m3lsbM?RNf?_wW77%F0wYm?ER2rMJGlzCJ!UBSXV9`<jnb#6=0v=*Ihfzx!ll
zWO};Jf(MCCo;)ccB;@2f%Vc6z>ZPk3KW}bMzw|kz?005*x_j;KZ=tW3I867PtTxeU
z;e@J1ppe<Nemz59Z!f59pD=y8_}Mv@lU)Lr6h1z7@kpoe%7~3gpdr|~t`S8=MxpED
z=H}$)t_)orrqZRfHREEFlv$33={J90->VX{Cr)$(O|8wGF#~jny@!bFuRov9FIC!7
z`udvH?hjLESJ#O&9`BP~%q6O|qV)c&ckkAHKHjb7JL|>Uxn~5HdQH7#eQU3tn3&j>
zq@!In$8X=bapBd~)t^P8mv{(9y3PPkhCh4uY*SqIu_91dcY%6vo72vwtUrF}kW-kV
z@^^)RWj>Nze0=AEbAEn$TKezM%6_n}BEEgCFF!s$UfEUs{he&?-Cd#S{!YJaDnGS|
z>BY=gexs*{2Xva*Cz09mJ5OseJ%02k<J+5?pkuC@<>rHGF_B#7JNs&9r=6YU`uEq@
z#dfv7E_``;`Q^2>(QHTK_Senb_v@ARO6!=X^ZWbz@2y+e*>UO8rHo%+UV;ZZr%n|G
z<&Wjd)mhotUdj5}SX<9F%f03D_V)JWTA`}~mU>NHQTqCt*5Wqtly^TvS=`*+FMoS`
zJM;CmwIwevsqWo*e^2FPP};V!x$_`5!w59||EOF4OW)Q-zIS((W?ow2S$VJS_qVqz
z>;M0&?E3os`*OY5T~DAXENpGm)U<PRW<IYtR`ht{g~-MoMNhj<mAJXFwed=`sjI7l
z=KNDnPrGW-v~F4TkK$Fq%lV?V=gob7Z^f@KFPpDi37Nb1><gpfXFe`&ZjbKlESCCw
zJ@xD?(;4>lc6zb9SgftB7jM@!|9)|?`{VQW|BvMF|2u8@4?bC|11C>%f)3w$@o|^b
znJgs^CbwRxsnf6A*dI_<W)`=nf>B+4xqs37il88&cXxI+zj>20MLV3&&(E)Qo^#w&
z_jl*#+q;*Qna!Cqhev8<Oy8@ks~=xo9p2I34_bi(I!krie-ReO@bz(5ch1{e{awkx
zK)|Kt-{0TawtZW&u6iZ^nQ5GUVQY5yn>#y$)6<!5+0_0L(T&>T&@X3eka0m_Zf;)D
z?&|M)pcWozFs_-6_fY!$+GU32?(WB#PX4{NHX77YOFKKOb)Idtl&rj@WG84|c)9<4
zvlYy|$G$vdY7ylK6uIiBHAUXkS6w<KK|ey>Z;r$HdA1w#@7sY+!^@XjAGbGXrk|IW
z(JKW|gKx!|^XJYTJ8%ELr>BSK%j@g@uNgN4FZYx3KXCZ)VL@^6_IG!8XZM_~6w)*Q
z{zs3g*Y<~0RnX+mpBKFRYyOQTRDi{%`kT+JbARQel+yJBcUAFS+V=Osg9HYL-DPik
z`g(hMrYw8<Om92KnZJ@oEuTIY|NfRc$G%=J_x85X%nh?9O=^00xIOvzx3?Al|JlmO
z$Qb0_GU1UnJM$v<?(TB_-DPi`YHDn>LRYcG$HzxRMoR9LvwZaEk$}8Be|dTNTJ`=}
zDQRhs4z+T3^!K|T?Gi0Do2RewtLwm)Ehc*^J~F9#O$m6dlKA)6R}Oyu>2bd~h1C}L
z&9#!+etC(faPz*ypo>U$#$2~^6=2zWd}7(#TMysw|9|Z5?d^d}y+nI|U$}Gs;GCS?
z+=+AN_I~+N!qCv#+IkGs<(|9qb(Joc7N~97A*fvN>Wb!(W5*U%ets6!AAhP=KKU1D
z#lev_Ug=LF&)>gaZ?tx$_0iep`ATMHVy0PFF6<J%w=Gwi;W4+O>QhGt$@#`^_ru*P
z8P1$u-(|@^@8{Ir3qS7Uzqf7Mwygf&A09Fr85uFWu>WCK^CRH6@m~!qD=9}u$BxcU
z$B9a=SGx2VUfkQe+fiMAd*0ncTeGiU@pCBJ-+oJD`^4Sq`j)LzR<B;|xO4gP<&SS}
zPXE8+PI2D-0L$(685a~}>}n+V<!k~X-M_!PyRr6nSw%&~0#Hw;`kRiBkkE$g>v|<G
zE;#1ST^+vu*rwFe1%G}NifD)V%&PzKA+hAu6;4S>$xG?mom#mpil6m(DNdL$p#e0q
zn|5}V*4-of>i^4KUhW@m**VWFcUIKJiid|-K?9x6?R=p(|6N}0e{r!p{~Wv8sH(MY
zeKMUtKR@^Gw=8<Xu`Ty@+s@+WtBxEyc5G4X?lP^|d1Y^I2u5$u3zdBB3Tl}j`1tsE
z^3_$L6@PwgJoPR8%#6mB!ONWlSS&0o9y~ogeZ!V5M{aIT=iV~Gs_03FV}JI=MXkqv
zw$;e9Iv&_t{oO?G_2uRLj`!OyTnN}&d3l+yu|^r_o`mP%=3T~#eMct93rYq*Vru!j
zc&bL=p%=G}SsV{sUhdB*vG4ME-%5cWf4|@F?PF!g&(Cl6J75~fC#PW!8tGZce*2Dz
zY)$d*s;^p1%*=w4lAP7m)jcwnLX3=z8@6vZud3djch@N(K%nf+4MuHk?VA68ziT!7
zOMQ|%cKmqqyE{8OIy)OXJ2^p1KTjzd83}<_>vVQD?%r*kcYj}QKulGYRoMEtUd!TV
z3W|!1_wL=(QfB~H*;1b*tG>UJb#ihN5Efos#1ynOE3~4zI{D|Pr<al+KYH}w(W55)
zeLtA?|Nm$0<Kr`7&YT{r(pLwrUJZTxw()+=XWkBvr%#NvwYgJIPjf9QG7{5`0=2Op
zA82Ie;No&}aA@!n6c7+-=;+`$a`foRKV9}oM>uq%xAC}ki8%iJ^tABvGha|Xys<G^
zEBWD%-@hLpYUR#~ePNb;jVCZL@WZ!nZf|dGE&TE#FlKidZ}#<duJ`xVGBVuVReE@?
zbvbBx>xv`SR)un3ym%3`2oj|B!vjZ9`uzO-eE3c#RZsvY?5+Cx;Nio@v$M^;KgaE_
z<4sRbx3IQ;{QZ7?`|R1$dU1O?#B`$`%+BBE=;G3HtNMgQau(O-gPgzbKYjez*}Y%x
z>Mk2Ct*)Ay8ZJZSZ<;Rd?!oPRvK}I?MFj;54jgds^7K4;c~{=OJ)U=WmxE?<H*MXz
zlv7ykLbtenPn5fp6H~90DR^e~$dQ&`UtT(wzq?~-QFnfxZOG;{U&uVNhK|me1#Fu@
zQ`Hq8lRz{0or^r|?Ch+n1+_ZvBqt@UNIu?osTy=ZvX`HqnT4IL?cAp3=B4i%W}9R#
z`XtjOqPgf=_PH)mZ4VJw&>=df{w!FapcS=c#j&?jG=tlg`OI8o^!~=iWEBpkzds)L
zYkl5b`r1uYJ1k`8^QTW;@7I2xduq>-BQ8N2B2Qkv)GY1%``{q6R^+B7QO^IkM72Q2
z$Di7B<3_~F=UPk8obmbe>C>V%UTLq-r>1JVgEokF?k#%C#o6SrZ{I$x&(h|3K3lV{
zp1OX=*47rZU_|Tll)K{Q85bJv?XUNDaq;x@eDdzyx@&<Qn>QPuooVcz8V4T0cQ`#w
zH+ZIf))ft{*j*-qf`9-0e*fk7`~BXhr(FK^Pa^rhb%lacn1<gRi$+l07&~vqjEoEG
z_loPsU8!7O8Wbe-@89qID{G^}AAhR*`z!In0>>5M>*rnjx;|<v*X!%+ukY9sv$H5-
zPsPS-)xW>LzuzyY?3S^IXI+5ChRn-qYk3*A=iY9cXIq`Mw?)_d`!e6zNso?n{&=-|
zy@{TE-5-l({`31*tkCE^-Q3i4VP&v-$l9pT$DgFl^AfJFi=APV+I4Hwj2RL>v(0#a
ze|zgZQOOllBlXBw8u|BroEmOZ_U;a+x3@QF#0qp4<Ewwa)6dUK{PyN12Pfyj-{0SZ
zy4jwS)g)~Wm8YbrG&MB|$jb7TmzTG+wH>;CJ^Xzxm!za*#MUg)XXoa2|M*d1l6i?m
zP*BjV*G}L3`-~Y9ENpB^@9*seExNn1GFVVRAmKxG;)~)F=gx&mm-tog4tmG<`qUK7
zX7l`e8F%h=i|a30-Q)#YwZr1*@ci7|&}ZgZS3KUz{n)X?Vr!!#D0tqy$?1_aW^?Tl
zVf^s%RPz0OwO8GW!nR#J@$x_;vj7WYGdusZXESHbTIAj@2U>Y$qOYjvm|FlE0CW~$
z`SS9zdum-fpX`-=)<wnjpPq1n4$u(O=U{T{lhM5UE_8{9;E$g_SKi(K|JhmTt=r<%
z{pYnPaAa+_3|$$-dVan=`-l4NzxPys=SxdVtIGecsGDmZwKa>?QD8&)`#22|uC=|V
zi-n4KTz<c}sLU{dtv$r=_2Qa8$9kn18TM9xZ&Tp7w8gHju8xC?t4V=lhDD*0OQ1_Y
zzy!yg+U$#_&fZ<LrQ+%LAj`G=hQF1LrTn}iD)9Th0tZv>%}uVaKS>&=P1w74@4c@b
zi&kvbKE5`3`zx8#4gxJqz5N{>7o^tfo7vdR5#e&3xBc(R`MZ~aR-gp@{`M9$QeINB
zWWj<3Ht`>K6h3AveSNK0go_n4-|TPy*F`^mpGlVN$B!RPik^6E+O$b2I5_y#_4V?1
z_f}tj@Z;|8a?n8wpt<CLg-p43c3fPrF6Hv&%b6D!xrS^?@f2cd1g&XM_n)V8<<8>8
zi&xhE{-)BEH18hw)8c@*kD#Tb=i=99Us>V!@87>mU)uTQSGaTvg)H?F-Fp1oeEaxc
zUv0LZxBJ}#Iyuwm{b~LED%siDTOF@nTNmqHR#v9<dCl6jnkp(Tsq=~g&b#-^tvnOI
zJrA^GX62dUl9DB$iLNuRudEdAT;u_63d&1Kc|Cjf?9!Ian~inj_C!22TpP6&v?i(Q
z^RwPlf4;uHK6&ZV)P2wL($n2R=ZDO^zB%1r$aSKSkkFNF^R4#<E%h=<J0mf*a;kRt
zvPr7mL3yXA>n~3_+9fEsk~eEr?uFpm<^|VQhxdafl44f|f+uhKawkumxX@_rd;jn~
z`|MNq%(>BYDmHx1vbWkIT#L7@fBoZVL|zSRi|7nqX|ok~ob8g2@$|;-P*Ycbd~0hq
z+uvQTRkL(bQ&J@E+UEKB&$nw`x^(He<1c=xzQ458`_lSJ$Byi)`zz(%Cli>tB1>oI
z&igxy*|%-mR(bE=>hSd;?}GF1@3Z~({yslDJG;+(J6UD-zL3llSt~$IGy?;H-DPi^
zwr({&)-Mm*Dk)uhR9R7x5wzE6mTC5fe}AjLyt^wsS<SZzG`#R}clmp_fB=DYaeKM=
z`T1K~TNj3}kE>c=v1Ix3<fo^m&M?oH6A}`-uq87Xv}37P%2aC$DAt#1%bhxQ>{v{#
zm%sn?brmWqDxi^Z&?)7=W&ZsAYgqOsB4k~RB(Ic-Lq&y!kg%}nH?6W)S2ROb1UNpf
z0!@AU&NfSYa$@3!O`8tI*Z*zh7S~%)`ubW{c*MV7ul1*Bg?gpVn>|}PDJd!BnXG-C
zjGmsJM)bBdr~YiuzrU(>osEr+fT*ad>4m!Q?_@zm@hsEqRVHuP?DmBp?G~TDOgnsC
z&xsQrpytbg<Jw!){pYzfv+-Wp$6Z)hs1dlxW#6;7eKnPH?Caxp1x=nhwROb`jgVC#
zo~r&29)CA4FW(31b%W;r^<sA|h}&BQ+HRASoNSnKLg2}_<MQ<$cQ-%VcW7$$t$^p}
z=U=y6d;Ztg*NPlXUn~Rtq+k8}`<p@G?e!^_+fJN2cg=Eb|D8Kib5Bm$`TBLD&UVe<
zWex%?FSTYC&D!|q5G#kaL1t#=CDqCYkDvazqn^{GaNyQ0sb+TmYZb5gK72g#>*M3&
zm%i++{tntRw)MEGx_a{4TU)c(pPe}2G4-~Qlao`ymluJ(AKm-qLSK6sSy)8uGIbPS
zVPRnbO><{`)YR1U@be4Xc@%W|_O35_988e0)YTs=g(luQITPHOSNETHq*GXZ$;<e<
zpRDEY?p&1EpL^RZWObPDtnK;t?KqkkqNAg8Zg2B_HPc5rH`YPx`pc(JTLTxn9lUrk
z@O`Jpx#xyOPdq>iAR;3pL9+@+I)!^*9lv+_G<W^KpXyp6D-`ZJrN3yrarP{4XJ_Y!
zPoEB*nyS5Ya+&YmTFs|6ol|D-zN1udagi%1wav4wZUfbN$NOYKlmCtzo!j}2UR>;M
zn0Sa~rMiB8etwUnvD?$a!oos}k{1G?!(9q(gO~fc-rZFS8cPgWA15oW7sDW!_~*yR
ztp2;3)A>QuNmDE5T9qDZV&%TDqcGVd;{t=UdESx3?fiy$cPzI4`276*>bs}RN?rtf
zd3l-LxsAuMnT;2;YC%O^eR2H$x~z}K`(&G!FJEr*_b|UbXn-Hola(^bXsG@DO;J~u
z7t}52wypVLkacCn#Py(EB<lY2dTgt|EpTjR3(yex@!=u!oH=u@e7l;NnF(6#0XoWK
z+dY5H@40z9mw!E3`#S#J%O(|YL-F0lZJ(^Zi6!4E(2rOXuw&;=MGK1?FA4=4`qe)+
zHa1rI|9bKNK4{vfXlnK5`hP#uU+#OeWsAv-nKM_Glyd%wR|K8gsuQy#;HiU*pkSkJ
z^frbc74NrCpDqqseQsL!;=;m95iIR|vWE^fvpc$ghPP*#=dUZ9a9;BE%3$@WO1^pT
zw8PgO=@QjusL5FzxXed#>%3(}$NXm+v7S43?vl~d?DaKs*4=fTsuj8+@2=I#-mZmr
z?Vc@p8E)nK_j&dy=b7`jt;?~swdJ*{6fgR^bp4%uOP4Nn48LAf=9-gn|G(wa@^?)N
z4>q5-Gk)<Z?4448<ol;jQv)6<W=OC<`1JJjj_U7vF)=X#`|E1A&af_j_u$pl)fsno
zY`n(!6_nFoUS9tA-rnkh!oq_$HYS6n*rpzrv9FV1X6JJ$DA?e|IBV9dF1KDO&%Gsr
zf?8o~I=aR6SM5>LkKZ@t+T6|BAxeinJUqOy=&9Gs;^)tww{O^BF!k;IU8UTitHVHh
zN4(0neSUuac#ov<hhJZ_SDp=eH+kph=jRtYHnT<SE?euBsBHfI`}_NggO~dS%@$1+
z`~g}CA7k6q-QB!<w>4;w-^S$QtDa1oGNol}_I0oIwfpP-hI|t|aQs{PY_r@$4-Pgz
zeED+aMvKet0xVn2bUHgb-PW@=MAh|dtd|4rp123v2b6t%U1P_C=g-yu3eBASNhQkC
ztix=PM$+eJXDg*R#TaU8Y78<jsjTJQS^Dz!c74!-`K^LG?TU)edkcb=#w=O7w6WvC
zn>Rh7tHV~B{t;zi3=0d}uwlcA;J9BBx4zf=SxTRfvJz_#dbjV(=S#91H)$uOeoX6`
zqdo!BAG4lz*1lAxfnVM(;rqM0mpn^A4Jf<y*Vn}!&fovH4Rkl(pQYA@hJxSU-*4~k
z?!L7)=)m!FjB@sMJzb*Ot7216ojP@>TU`Ian>TAd{tc)*59%0%J$dH-?q?v2)ZrWF
zbr)3fa3>#M7#LK?#+&(LttNk}^M_@=v!7}HyRk93pt$(-<?IDA(r%#svV*hqo#)eb
zUuHSB1vEf3Yt0&+H#asiAMclUPfAj1YHA8t8)dp=$&v>*HYS5gj9axQcdm`wD-~b+
zb!yakqcsm~Ykmm$`T4P$UE1>L6>D-2<AGJ7t3Pe=2h9^QJm$`D*xGT<n~}dp=h4%?
z#o#Qs;Lcm)W&EJ^7AorMk7wuaJ9xBPJTW;LG<Nsr+wJ^}TU#_YZQAtU(IX~%d;6(+
zI$u4#yquDflt5=c?(JP)Y+e6vPY4IEtd)qIoScWZw{uR8j#kKu1)uGHUSA)de6&k6
z=+CRGs{^;^#qO#4%9WUym~nmG+-poPFD`ZmHDX1iB_%tL^-4cJ+AR+1!h%}8@0ib@
zzw>!9N6n`voPP6cI*%N20d2iVJvGHKEKDpYC@3L6KfgqsVdl)49NgT8|NQ*SD|f(O
zTIo=qto4Vt+wY%>>X*sCx94PW^1t8T-%H=wu}9%ax?sfKs?x=B>(}yLIM~eIdvBYf
zY?KIFY;Nrq!)3*-P0LoU?a-T*cQE<CUlIGIR3G`gmUCQ3e|&sg`1lwvXgI_)>q@{*
z_wa=QpxGXaiVq7MSx-DX+zy&8|MT<td<F$kBmKBN4zta2K?!zC=4H3!oU}BxUFGll
zPMq*~nX)?f_O=fnJ~U`_{rL5Iy<yfBjo#ifj1N9OJ`U=2$Hd5hDtc+@?(O;anSN9}
z+EDd1%ckZ>z+=ZB&(6-yxUxcU)8@^A>*H+i>?~%Nx2s`b5YZ0fS?)jIEh}r)t=bDe
zr|w>+RPf`&Lk7_PXV8>+x}b;4kB9B@8**+M)%^It*rc!^YHOB8@G_oz`)awv!^1OG
zUd^$5e|NWd`TKjV&CSfWwqz=Q4Vp4-T3hPrX^9^n9rf_=aQOM@scGJI0n6?gyUX7{
z+sW|r>-BiU>Tfw~lNY|2G-F1`(Qa{2>&e5*%Sh|nt*zNJY^%*cmp6RTc;i)6biQBd
z188&F9LwS*g&8ukvb<VpLPA0xuE*DB*5=GM%l)#=p6TEE-d+WcOW(N~F1|fiw0-f$
zty@ihnOUStFGxDtB`G_5KB$tJt{a_JFlSQH{ps`O^))mwR8&=Y{g(8drW4r|y**FS
z!Xjd+_})2jd#hNLf}|&_ET66)?<CMtAHw)O|5z)Fc1BFY2B(eb=jC|h?PSi*Ha~uP
zy8hK^;VS|h*9I<EYv-4Dn{AdGu-J{aN8Vn}{{NrNTh>HuOe!cSIIyeq^%gOO$?E>c
z{{8(8DolU;__2b=AT2Smab4_gB_pGt*PefFY)t<6?5y;WBS#M0ycxN6V{$v6?1uXP
zb>O8PpuTAVc)RujvD>>!v*+5no&?QMTIAoeVPR)~d|bZ%NO*j0>$9`7y-&Y+`}X3>
zVD&e*wt8zh%(JWQQuCb!nnS*Ha`Doos^8w-<u*1p{_^Igu>U+8$Gf{qH<r8%DtUFq
z^K~&lKmYMXuH8$VmStaGH^VTQ&BxbwW7btIP`ml#$B!RAd^m7ws<!Dm=SulK&CSeG
z=6P$1<o|wqd)qMmoQ#XRd-fYQOG86J&<dkR*5&VdqPAu+{-|)xcy<Pq%bcsKtUwof
z2vt8m#=9nFXOQamK3QufhIKJJn>;70fmWy*n3`U_<veQ+IP3oVWBKmxZgzHd_N{&*
zpdp`|o70ou-`gwT8mQ$^^ljcUPbVj)XJ=+MUtJyUyf9!v`TKiP^5risD9(M&XvY_}
zBjF&^kt0V|+_frtd&{)BtKrL+643bd+l_Or%gr?G)YRC**T;ocu2GDgE+h!L-Syht
zyt*fP+c`{@yuNYbga->7o06KE+tX9|9v-0mj|HEf`Of{gHhTN99fgk{ynMOxQbqjB
zS65fBh}~_r%zys6jn9pjnr2^1I5kDHqpvUQWv7m{wRG|GbFM3cmX>Vuzp<lG`O)LY
zpf=Rh>x!zXtao>nIzK+v`|+~BeP-``%VIUZ`F6c;Z*TVwcX<5x@x#ZDn?c*>e|>ow
zm8|YNt0i`K*~259!dl@Ao<5r=@A}}{+UP{kR*zMW8kyNYe0v)W+CBU_St2<20&}l{
zn@dV!q9X5#uaAy$3$Zlz$y%%F#_y>xjEs(c9qWI0S1ITwqa|<N<W&9pv-4KfGXMF0
z^J~A&y!K;L>gh`zg34Q-3ChU$xOR(Om3sf;g~#RP{@11UXI<6Wv~}xMiR|ob@6XT9
zUX}vQfrf>Ju}-W0_~<C;<jSbWpo?CL4Lr)r%ONwWtlVM~HgDc+a(B7Eypf^d!jF%S
zUv6Y(2d%jRt!8|BYO1oewKe#hG(Nj&(U4K4Y15{Ktc^0&irS*lxyZx0jc4JzySpbt
z7T4X{TW$VrsnR?K2EGta7sn9L)e%S4)zyO+yY+^!ozV(h!~$AOwKjVDinOz{po>nQ
zouBW&K7M~#=l;^yVwRScp3SA2>@T`HIu@*r-ae_fmlrf^xIORgi%(BaYi)dfZmzPo
zxA)eA$HesGd_F%vuion9=-MT+P`>`p#CdkLv)=Etul&?vV`CFiw0+a2MT_10FP)sM
zzS3u=kqQUX)z#tsW$*5+{Pt_<^5v7)uh-WU;mZ6CI_2x`{`&bsLPAR#dDpI8n|WhH
zV#)h^wtL^FJ2^42vaonCYkhlrd-}UOI~SY#O`fhFf2oC2_{6z$eIi_}rSI>}&AYcJ
z^NQ8Iz18mB;`-CrI&&^9=?wgM@#00$-ReRtja?#|PM|Sv3o|35Nm<v{fHrRJ-fi95
z+A5m$?&HUgpdB{TrcDE_m<QcdV^MZ~p6#XQ=MNulK6L01X!ZT2Pi?%?pv@<|QQ_<3
z_O5VjW|Nv;`~7Y?=+gJS%ynt0sez!`!utRJv_3mKJ9{n+xFBEuXQA=GPft%T3D5xT
zpV9i9erAT_wr$%$2ca4NySX_Xv{T7A{oIsiph3(hPo69>dy$g2K7PMidV0E)eO=AI
zXL2$!KF^*#t76yLTl}1F=Iq(4d3XFgt-pVQM%S0u>-WFv`TzBLyr+mO=$4P47RQPn
zfo8h>{ry49;RQ48Ds!){5(VAZ{k}>^S2y$Lr>9ZZH<!JQnmVzg*x1~BxoP&bjNbTd
zIWuo%9ND=Yl!(`U1f|}nhKT6s*Jo-$+uR;J2uJ|c5ogbyEj_kAYHOE{j?R*omzH{i
zZdnSswz2rRpAbvqtu2|!7dRfdxO{zmU7eqwzpKArU1`yoGd{1btp%;f{r2tKmh9_#
zb3ZD(^(Z(Btf>C}ZcEM2A}QlEp2*0^i_hoR`>A?QQ!zI;=i=s`>=u1)t@m`jOTX(L
zALG5XzuvyGq9WkqqoXGe9cltyJN1>}{-#uK(1`WncK+b3EUno6b#q@`S?OF>RtDN&
zk$k*w>60f<m`=y$30kC{5&>-o`SFNb%DPMkv<liKaLKV=>ENYaQ%~HxH*cBm?6eCV
zUrtTFJEyhXP<iL`FQ1-zOWD`i+`M&blGDNka<)|$)<$pdiE^*1veJ#)GXu1nYmvsJ
z{{DVP){Q|vK0Ku_E;PCXs<5-ObMf$8`5E_Y%I_z&hue6y)Zeqt-91MsVCHTGj-Yq5
z_MI*(E8CKEl&ksL&ZMJUTLs@ty>sVI#-}GI+193?nxgsS*|TLv>mxU(U0D}v-TcV9
z?2U)-Y_rgrpcA^c{+(gg%*G2k;M?nR=<2Ykbtae86%-n5Y;8lIfor@Q+j66~mS$aE
z6KM>(GR(0*wWotyAk0HdH_9a~Ep1Eb>#&!nTth-cmM&j@88m>mNaND2t=V7K9lv;S
zBB&H_ndRT4?l%Xti2Q=o`*-jB?EiddzV<`TwhFXrV9T-Vt3thREzIu9zp+8lH1AGC
za?WD6UeLYuQpuo|Emv2CE}o_vEe77zy(#sympap|N9;Tj4x(Bi6PEe<_+;GORjT#6
z;?EC5&L)Tbe?E0zd;26UIaxW@GH6%TS1rz_1!nQW;o;%0uC1MYYR}i#*C#7*Tv_1A
zT=o0g+H)14JYie4<<y?T?fjD!I4+4Q=E}&*g67z@KKsqJa&1!Zc%SMBnqyrPu#jnM
z#zm*pdw+g@_7q_G^ySNxE~nUk@zvMmE?xP3Z2tFB<L66@?uOlz*IhMr-C8GYpVM5z
zyC=9!H0r*zENJD$-k_LePL5iF4_z*Qa%-{N)imXi>XMGEC9%FM51jFyFk@Dr-G2LD
zZwsD1E4#Ka|Gxelex94f=brC5|83XXpL^aH&s)BDF|)9+@XUnr^Yd)ylzFXLxO_Q#
zzpV8!j{XxTJmL;D3p6=8I!1(tAD@|j>th0U|Gj&0elg7l8@k2yw@L5$uX+Dxhr{Ie
zQ-bE0=gWzSi{Jio_vq2q%jH&&*0(Bud&DYz?%cVEh=>y}ty)`K#kd24R*IaTYkj=4
z{@oqRZdV0!bMrH&Pd`3#{`6_*^78U$J6)6>{*im~{CTvF!pE<3*K^FVD%JX2oz0(q
zexB)VMsbA$ax9EW59AMi_+W7C$Pooa7F%1}i2_YVGkK0C845YgIB-J_wBbW*Dp&o#
zKbe9o<>lp%w`5*6(9+5ZsmsdJ+O>Oka𝔬q@z5Iv$DF4Dj>wGi$yzX_C;ADUV)W
zUcPbbR#8sHitq1Yb22j>d)=C+1er+igzYSUcgN97^Vrd&iMhGDLQWg@?2&nYZ*RAw
zqoamUXAYZiP3?1SCShUWLeK#Pw{B$_)`f<Ob{$Rf@$*YNr{0nf89DQ&=^9S)>J6oH
zSFO_8U9&Ob%$qwiK!cMiEf1z@hrjtWcg`H0pkym6s|f;0=1&`fvL=dMym_;;MPN_u
z?{D(o=dS0FG0&Uh%8>kP|Nfevn|$9L@0T}JRAf{Y;_Nz_)YI1|7yR(!tE<}W>ps4{
zZGPtD$;3-judRt}{`&RnoS**l?NWozEeX<`XI1)Ydkg#Y2eoTzpDQzIYikFt4YPi;
zJ4WyLk|ipB$ttR<3uE-QSDm?hS$Om2&6ct1*4EPMeseO?q|NhW^cf$&di81oL*nv_
zyLRukR$;jDh;`!r_cg8yHg7f-6BR9dBrYntaPwy4<;AQV4k9ca4fPVdyu34J%;;FS
zaG`{dP}A>kZ;LZn*RNd3X=`J1;rx02&6_q&2<p<*)SNMIUZ2rS9*|weQxh^WIGUTA
z1670;2CYmfx|M!*R%?sEoehc2cSAaQdU!-SU0ytSa^w!bgQn|5kCx^B^S7PU)zfqH
z_xD#*zyGEDPzz^7TwLDd)7Q)QDSbFSU4KW$MWrtvJ{-7kAz;arN58(lzIgw>yyns!
zB`<^Cynmk#ilekNHM_b$Gb*oKxuT%R^0jL3%)4JUuthT+QEA9&TrcqG@c-G#|8w`b
zC^>p*>P2p1(bm#hbIyGFPy4Db8pZQ_-4-9bzCQl;*V(-X4?3PXcP_2z`_}C1Rw8@s
zD?hQA=ifWS(f{R3$+<&^MfL=H75@A4Ga@MH(S#2VUR%ctt_WH=A*hS16?DSX+Iz{S
zQd^>Qy_N>OdGlsVWn6l?y4TX6p5ETARW=F=4A<92AJ05f`ubX;gG0m2+-qwh&+N_r
z2Ab>t^68V&W=#>UD_L9T{D@jBCd$S7Ic8~)<rJo+K`YPXfYWHIk>vC0S$^|uGL3&b
zG&D>U_|?Gi<NU!4lSBXh{$99o<Ha-kYJL`7c>T4^+h0j(%G9ZjuCA<Gwrn}@;e)}M
zna1qf^6&En1_sVqbqv&(To=2WE&u+$)E}S~s?$%uE%LPuxRJa*e*e7S_Z=HQ{QdX$
zci7Ly#>TRp&CSgdrcO<rTL0vP;O07=#ifRB+I!V}%(8vgXe@p3{CWDdhoDY6sCmx8
z!Leb5nj44VYBe{_);)V{HuJrkZ(rZ`^YioOg9!}{4Gi6eH<#LIE}bxC3X695x|E#S
z+S(22=jATEEP3$waq>a)&@YRoIHjbh=tOR6u{1L<V6d9Yw<SvV%v|g1hrTzn^Y^WM
zFDWT0AS86?Mpbon;@ewWC(NGBy>H(>v6^k`rvzzeYd3dvaBTj#+-D}!)vH$pL_|^!
zrWfB_e_HI#S^J;$C!bFg-LWR|$shmucCx#6?Q&Qf=A4za>gx9#6}NruEdl|nuNFKw
zz$jr~w<p%F`k(I|S?jVJZzmcT{rmar-K$qz&d$yY!d8R&0duO(^vtPmh`;)J$CvMl
zYlM#E=H@O4(E?3Rf`-2%w&lz``jcPYu4TpyiHz**=JfOPBG(?8Hh(^UVPPT2%~5O1
zu59Gy;!-d(6Z=wS`{wTM=^L|6q*kn6-3&^MIg4)Hzt7Lr$`rOfj#pJxwde1LhlfG>
z+!kMa^!b#Vw>S5St68A+P@B`wGch<sMM<Tkr8&jM%7VJRA@7>m`4tQd1SU<M?6~}L
z@67ibH*O3F3}n=g-?!z*yp+YOS96Q$L@?ammdm_1?);6zhYvqI+AaR!&(Gr7pZ|Y;
z?*HN2x3*Spai`SOrz@Uw3LI!taA5h9{_*8y_00-5PM?0AzgwlD_4IUo>oYgEW>0VR
zRhw*i$NS;q<Narf-CHJbzHzv5vG2eehgtmBk34^EEidSy$to@`F3@>Kdt3eAUstmN
zPVqVX_x*g{?ilOhv->;qU#AzZd0zkI#<vf<YqCH8x4yf_ckUj>x~b{C9UTq-{?$!5
z{d7Ty*1^MvnScHIwP5E?$*Ab)gIBMLo;rOx@$xd?#rx(xc#yDS?b_C}v(1~`78~yN
z3l0{ZGHu$SUTO1$tE)l_-ruv`d_C7h3Us2#pTB<>u35vAc5Y6lp<8vewTr8(qq8%!
zP1P5UD_N$+YgVu3-m`bFqmG!fpC4b&-CbATeE#tGIRB2aw^A}zB^+&SZ3}kpoT<6=
z_Vw%RT2r}p?cS}Zs>*62)qC^D+qZ86qN2EF&YWpb`6<OfsyB^k`ug`Zt_iuhx@#gg
zvw<?9xPBaqxw$#_zXJytT-@CcUtJx(aM!L|i+FZ2FfMi!P+<Be@x$z*kV1maglW^B
z8MN=^iVP2bZcu-9RVc%U>bosBc@O;fbuOIc&Aq+16YZ=S{+c_?s6U?I%kt^q?(+8!
z&df9}czsPbBR@a=jd9wUhF)p&Ll+mjzkMge&%@*3<ir%StK{UWAIdEU&ds%c_~+;6
zu;wRCO-vpA{p?<vENpC195a6Xs*;eCYvUHzi@2Lw`Q?RROKYp6yF0swiV$ep<8b}w
zXS_Uod`&)T%*_WG>gwv!?rhs;#=*~@UbV|-hC$=QZ{NN#DK!PHY&mtxYqhllxcn-$
zl3lWV`Qas=lNEGycxq~D&K%oc_t)ynmoE-QMVrpXsWY+k9Qn_nu`l_~Eq^1>dCUx+
Lu6{1-oD!M<KP^uz
literal 0
HcmV?d00001
diff --git a/Code/MonoMutliViewClassifiers/Results/poulet20160825-122010.png b/Code/MonoMutliViewClassifiers/Results/poulet20160825-122010.png
new file mode 100644
index 0000000000000000000000000000000000000000..a09a35ac49e076f8c7faa7eb3b1d47c50964dcaa
GIT binary patch
literal 46390
zcmeAS@N?(olHy`uVBq!ia0y~yU{+vYV2a>iV_;yIRn}C%z`(##?Bp53!NI{%!;#X#
zz`(#+;1OBOz`&mf!i+2ImuE6CC@^@sIEGZrd2_cqCZzPy|Bv5!v{q=GI_h*WK-g6~
zl5y)4m9x<gml{kqG2L7gd-}w$x8b+VR&TwNvibD1r8^hKYM7q&&VIJ^%$cOUq062v
z4He4d^gQCC`sdHTf|;dr9Q7VaO2nN%zWDgM=QZc%oVP4avv_Ygzx%92G7AF(1B2Lx
z>Rn7AMiw6v2Z%l`-~gf`+898>2aH$*K-_7H4IpX*4<krdLn?;?h^ynwz{tSBkRUni
zw8ovw+rB#e{JeSV+OBu^_fNn3?$6X+b$_dFzAdx;`DAix-Q1PI%TMKPf4%v<-Rd`5
zR)yj5JHCHBF8_Mh>vh48kM*W*zg_xz?e?l&UUJV@zMuNxL&4UptEWEwo%YOW{#V`T
zZ7a&(-{a!soOm}ce7WCT70<=){nPH|g}b@6UA@X`)3@JlMc6Xm*=oD*>g~R}Zg2JX
zs$EuBo6e?9KAZNr#B@)b=kuL=p6}muZ~djbyd1OWUQPveez_@k^RCY@OxD`+_QApC
z(hm<D@78|5JIktcRU5B#8E01KrWL2|r@ph>{qyI~T`!l--ctEFO;uGj^VOA=zy7|j
zk58&xux!QCms|`_4a?uf+<aRmnQW4NPR924o6Ymq1x?+aeO>SB>hSZIudbN5tK{XP
z*xhBC78W-?)lM%f{`_oq{;MOM!eZA}R7Gu0>-C#!we<PCYQOFG>vk_+-K@20$@!|P
zs$F&eex}=gK4bjrvHbrRTk?K=c{$6ba?>o+?6lO-My-WufBvwp-;i}xOV*;mVX<59
zrPS%M%PK!Vd%697-RF|6tM+tsaJ06zR_>BAoiu;`d?h6%5ebQmpZj_Z#be~f#Flk*
zaCB!qj$AsooBQOMGgDMr+uFjyN*}a({aTZrmUb#_^Ul3>db{5kxw^QVIDY*2sw}2Z
zHb$1K$L3fTr)<7ia^CiP#*YsVPn|q@agwUHmrnh&Gm?9My;}Y1-rn6(rddm>zP?)N
zJKJp6^Lf=<>i_@anz}b&^R!8~7>*x5e){-v_tw_ds!u1?uda)={`vE#<*a5I>oOnX
zv@-$g<Mv+JQ(64;*RNHclhve5GA8W%^Xaru|NGzX_k-f=%BEEBpFe-T+;m#+^4II}
z>%-$~uda;o%-!1E)%E3+_WBpMve$<?I5fPvzJ9&mT&tH)r^lC7AKsR8)9CA~tKPn|
z&8E(uKYx~K_Oc&8D$dR_U46uA-uo{vFVC{8-L-D#GpVcV<Kr0_8F&5r^?GZ;L#OGR
zo}10KtoX2?jaPcvgb4yy*G7kL+_>@Ahr|4*x12xR&JXg-#fukJr@g$tfB&1Z-DU6Y
zyo{JOYt|}7=e8B4udl5NUq6qDiRsGT>hisRzuiu?yLahU>-X2!{duL$LL3|#s=mLg
zJ^1~1Gr!%1x#jm(Zp*!W>i+%sfB*h<b#`9#*5CW&Q{BzCWoPHx#~+huZEv@pr91C-
z*}f%q3dbbCp?zoPW+{^lh5GvX(sy?v*YEqa>h|kJKYm#iJ?VJ2_j}y&uZ34b!!=D!
zx1M?KHEG}9Z_%o%s+Q|ss`<{+u(FCedGe%|mR6Bg^tIRDJJsg}tPWe7viateS+ibQ
zh#!5vLgncDyH{2Qr}h-i(U+H(U;fYX_qVr~PfS!66%$j7kB>LazUBi;dHZUA$HaZU
z^UwDEp3i-|%HFPG<CU7S)Bmvk{y&ROPF7!C`}-Rx96-rJI)6{#>hSetn$;`!hj)b@
z`>i*3Z(#j{Ms^WF!G%>{UukM+c*O21xfuWN)AXS2Yfo&<yRpHMnT;pl^Ru&0pFdxI
z;X*)c_1mp_^RK>nlVkhm!{My!>*oIX`}gXO!sM;l*Zs=xmQLrBv3Q_S{x5y+kKfr}
zUR*RfX7R6VPW9c`7w=Do$JZ`ZbZ*lyF$vkXZ(r8MMXkqrrI)W+qceTe(!afotCVIX
zEQ~sF?%cIcPfuUnmK%Ls{_Xz1Z}Vr_R&UGO{nl*yr`FciT|b}A-kNq+YHP+tr^D_1
z;fLFJOCKCyto?A1y{o%B`1Q55r(?G%<(74yR##KY`uyzdtNZ)+=k0tdW}11)<<d>H
zp!#2z=U-Xu&abMXvZC<uu~R2bT-cO)dP~t$ueA{yooau5DXconZ~rI2xt;Io%gf8J
zu8+6BTX<a7s_M&%egA%CpPgao{P<Y!?u5B@zu%gxs;Inp+;1PYyX>t=&5r_5)|l*X
zck%D{`|H1aDLFga{Cr^Dw>LMX%=6|rIXjycJaAxTXV<p2j=o>>xi=^{ST=W-{*nzF
z0&0JKxtKn`cG-y&9=<aS9M%2iTv+7VUGn?w_Sdi1?=P#~T=?JsBPflnjoyCk#6;z(
zvuCgVey`fUnVtXIEYs{Oi{1OV-)+ylyzJH8-P^;~$E|(8@3)_<RY^hA|I7aNnP+F2
zcJ=m#{{Hq>_Vn?7`Sq*U?eem%`Vx?lv7%4La#8)i&+~VEK4-l({k)v*$0Nc^<%&J`
z{dmOv_1)d**49=pAD@ud*Vb;W{atqS`0?pCHkN;Sa`My1kAc_M#a>+#Y5er*)6BcO
zN@rOVE;7r%_vTBT?_8@;?`b+0&F|MN?i5yE6}Z@K(vu(YE1zUn9_bMD^7any7Sjcl
zVJFfyXP%s-DrH}{$1Ly83iJClms4jicJE&my*=;K*RNM|x8GeByxcGI;h|P3<FuZd
znwpa5bIYey`GN9M>B~#5WxHdU+4(|FPtz@ZbHniM?d|@X)6QPnl6hIim-BS--+Kjz
zc~6}_efjfw`}HeUXz<F}+}L=2#flX|uZ890)~yU){_3*7{ncMzUz=uK(Ew%eYo3?(
z|NE+cx8iZ{udmnRK@qk!|9;%=^7q%G^Y<=Y>ODQ{?X9hT2e<#2vwX>tjI*;$r3?}p
zs=mEhxo6Lwp!5E2Zf#XxUM%eC;W>Kr=*s&4|3Ic}O*+c;_4RfC&FSZ_-7UZWRwMuD
zcdyhv?<aw3wXbh)hr9R7T?Lh<M~=A6wJ3D5E`N7L*xzQM{oj}V;&=A#IsWUSyS%2N
zq9Y?Cqm)I#0#NyR=T6MqTU)(BzMcR7Pr7H2qhsT`-S4da{=WY|?ESsHAeT!fmwb5O
zs2jb_XZzi<*^i?v;upL1nv}i@$-TcX)_c0%)dh~tGS{O&{-5?m^3QSme+z%V+wEUh
zR|mGkJRek*XT7_#GiqPW&V9dLX)j-X3!F<;m_wM)+kEcXcr)kO`ue}ClOuh6dOm*q
zX!!g4`*KbD%1<fDn{S?ZaIpF8%gf8>UYl!Id+W)QCm}1|ytufy_imm!JHK4X&F9PK
z*Jb6H&8~dZsXk}g@#Dv(XP-^8DtnVrR9qap&ARN(49lV?9j8B?IpcGAOJ?xpeYMrg
zpITa4E=xSzcI^7~>p3?z9DG~$eACUGXKm7X1ySFAJnjb>q2@Oy<J=s}#}ReU&PW!2
zzgsT7`)=Me-RNf#a<a0yfByWLbI#SUytMrJ%jNUU%x0feQBj$(Xpz$KPxI^l-E3)Z
z2Prqpz4aub?!f`Z<jpsG?&g{M+kTyLIeTr?)>Aif%!)ssHJ_e&KQlA)SlZ^9?sAn!
zQtxg)Z<qb1Y<K0)r_<+7`~TrEzg{XgH@ENlxV=7etxC^4JlsC_+R@|3rFY+bw`I+e
z>_xe^w;jvdKKtqE>DIdSACHR59^X^<_gB#C<Q~JtZoNijyYDVpzT8@O|AnnlLACcQ
zpUWn1zUkxR(_>lqs3rMlr?5JRv+?#@HC^4anX@1Lx>x;vuiy1c=jK}bu8rF2)6OS*
z=iUFB$!fku)qXvO&t6<y?Dt>q{nzLk-MgjNV^de1-nq<g?yGNq4UWwydwXlAtva`u
zj)B?ivo3CKyY@^wn`Zp)-@j+C*YDR0x2^i}BC)2X=1dbS_nc|ZpFW+rVueQV`Z(Lk
zbLYN|$b+Qg<^J=_YX04?{eCy-yR@8KUevanms{5CIbQX8?RKf%ck@7*b$af(+PP0p
zPY1`5@2n?5>o#n-AY)&5=i~cHcCS~iTnP%0%FoYs?rGb7{>41oYEa1exVW^OJawu_
zYk%HdtH+NYC+F?`8n*l?I29@}aja^+wl;cp)YdG^yI=nPeP3^GHv8<K`~UyW55Bo*
zk<#TAfy%-A>uRU#fA~Cg`5Hq}eg)OL5mTQvvdbBi?Y{fx$K(FKR837yP&7Vy^2BKG
zv7d}j&dfAc)6h6!l6&ilCWnZ1)t40;Z@+!^?RI{-PIq6Q87N$)$Jc3oHx$|Z>6CVF
ze}DhY&FTH8ckL{GE;ajX+Pi(f^Nw$NH2c^z-Ds=34@7o9>eBY{@bH-VEjAz^LCQ2M
zWtLg)t4~p~RwV}e_U%jM3+fivH!ItHchApfv;9t=mU1x5yYs?KM5_2()t*nMw7vH{
zEKNT>P4`&Z=AA8Dx>zPi=kK|A<89gIw6jvvKV@HEXKFV4?3Y(pPiIzs<SnhM+jrW`
zw(1Mmd%s?<Un=Kb$Pl@=>MQH%&?mq4iZCwuQTyiJ-rcv~K6>=1=Wbs4u9^CL3h(kV
z^q;(5zaNwvcx0`vy#2M*dpaoE($3BbU3Pu-n)g#rRouT{|GyTLt#!BG30n4d7q^1=
zqjwR)!or{oUH$#t-Ur)`GCsNJF0Wf^KULI0uI7Vd^7h+j?f?Ju-~M~&(`nH@Z*Og#
zd+7YpKfR1Lt!fb~K3!WEyIQ{PhvVPh-^*W}C_gS+o^ff3r<bqq)%bs(#NFNZ-Q8WT
zt*`GNySwb_)9LYb2e0e--|QBZmX3b3t5@3mRjYX1h3WBiE8o1y0hKTt&!uhFG&a8c
z@x<TN>-SAMn-;vk?ypuzzist54RiBwK|#T)S1XstT$4@?*`62s_SV+Z8*_eqcv$u0
zVf)p6wbi`RW<H<_aeLm~Q#QLUe|&s=YyJPa*49=~D_ZY$_iWkR+uP2j#)gDUxt+#!
zcDDKcgy?U@KY#wrd~so6)!(nzw`N_{I==JvuF}<I@9wNTa>Ql&xyAPXek@+*KYv~6
z>uZ|I%Fe8;tbL_N-+Q{|+}#yAspRk1>$}%%zWo-|WUu@2kbQdT&Ye4}zTHgUTJ+TG
z?}x+upsGWAsonEi+j3{WDcgNJE!Vc{%Y^>^{@dSI_|7)_^!<Bz<h?zW#h&TE^`@8!
z-G00M{yOov3dd$P-b)h{ol73~ny-r9o~QR$S*z%89M{qJk9p1SJSeL@KhJh+;bXVl
z+uMBa?k+Fa*?u!e{EuEi`sHQ5la}n+W3%1&|EA5GQ+o<6pLze?8zlMu_w@L>%E0^S
zM^6>6Io!^FeUhs8m7T@uck6z?-Sx0d`pVj9^XV5?fa<-pv$HaPeR+9nQ)+kKu9s@1
zudn$A1_n;g;duS%{T6@wzacMQzSMiYdGqGbkdP&|)!$x}@Bcmb@~%&D;SK774gpWk
z&a;g+o9(;Ut+y!Z-j2d#UI_z-ZgKr<mzH|VPHvX9tqPfR%4ADo<*B$er}cK9dHYG#
zd)kX_xATJU?kc^yyF7nu-rcCLudh$Pn|ED(e$ArucE5d=`^{ao#Y*0?$Ys)&^7r?+
z{U(&Z<IO87+T`Tq1n#jcogR0ITYrzj%Qx~bB#qNzHZ*TnahLu+$xTQrF0Ll$xz+aj
zhjwONUA5FW{aj4J{^wG*Ra>5&nYp;~^E1o5vY_DLyK&L~|9#&tDlNTw&mJ34y`O)7
z9~TD)D605mEEa$i?p1#}ar$)i*=NHZeSM(E@%-siO*J()c7C~#=jY~v8Xv4|Y^%c7
zMuA$H^XmWo<huU+&tH-K?|#<Q)QHH)tO3<dsdroNDSPV4p19lD+k5r-{Q7m7mzTZ#
z`~Cj)=={B^$vwBW<*q(1Uw_B&yPNB}``!zG)b6=pn%h%Y?K}PZ@xDjNaeJ$_-sXFL
z>E`S=#r-$Cz}Z^+vGtBU$E!~3ZqGQ{CHm|3{eR2M?^QT&PCq}*(Cy;Ii&f8Nrh^ia
z*CZ*Ej0NlW{qpL!|F>hBZuGK#`+pI~Bv{$mv;X|~`0Mige^0(`E;8)8|9Z-lDMF`j
z<e16Y*WF32^t`X>5bDC<ICa|O$%~hIPxqSC#w-1-jLBg3*=093r&}|5e3U=B>5o#(
zyiJp2_E+tc{&)RuuUn+ew;Rcz2H-T^=$JNF+nOI6PWRk+e(mQUzN@K%0s^4Odg$6M
zHnnoMpt4)Wkq$wtvNtn8O;+8=O)kaH&xP)<`@5z3dmbw*>(pK6=hyu@`S#bNiLqU$
zW4W%!Rj<9ZC3A7=>1i)-Y)l4qjqcTck7Z?NUtRzIpI_?#Z`=33oE~2nn3c84+x=Gg
z{o3tLi~oplb8t*Bbo>AFeEpqu<>h^#6u`{R_o7pM-i73T+h<$eoz~xf<@0&__=msd
z#BaZICq`6MbSDpQR7l8@Idf!8b8c)1`u5asx?b#-oSR0XVq#gRr|JHBvAF-sC2#%A
zA0HlOU0Tvv_3cgM!`It4iSF+g-?c2)Z1(N!U3-`#MfM-#*59*$Q&??Eru6Fl;aaQq
z+&}nk%J+z+o0ac>eSbfmm6i3^tJUkbBpv12`{|T6s7bml_x7@~x3@g4tUHd*u`C7+
zj)2;Wudl7Wd|H418uj@#LC0ovOZ6O@`{?^GP%y;ruUop$EMTeukN&DHSFVK2wX2P~
zc=4i?b=jKR|C^edL47V+n~H!*SJuT^n`T|{xL@<xx6_>c=&9f^tKU~#t!~>qulfJ$
z`hG2w)o=g({S7Krr`yjtCXst%!@;FB*Vo0S_FOzQRr~Z_{g?H}|2&-@KkcRXsn4c4
zHv<0t`g%Eg{oZ947rSeln_qt`|D*Wl@87FSUtc?Q=1hqsQ{<#;YopaYm)d#mi~x0b
zPfk|<dawHZ%ftNkA%1>+ZT#}@iZ;i_9Dfv0z0TkM@0Ues`tPo+oV;Z7;j($}&&)Lb
z_2={X*lF+Y?~gZ|z4pkj9l<p|Pb>TDzwf^P^2|)*y!+?BzP`SC#fle`_Pb9C*<F@f
z`u0|6@N&Papi&{Z=W%;SSImA<OYx<edH;eg{nX#Lto#1^?u%Qq!##_B*9HiIW5noN
z^u1);@VmQ8Mdjt!Pnja(JJZN@x&M5<jd~L&PW*LP{@(&nj=6Mm;YRJ~kJYia%C!RS
z3OWQV-TUv?>rFRvW|?MBOFKXB?YI4)MtJ(UITu0gua|FvyFNZX{`yF#FsKU|9G&p;
zO~D3BOUtKv+MaW*%gfFjs#}-8|8JQ7z8^`geTFtRG1cGSm2x_Oa_Q}|H;dhRgATXx
znr2_q*<K&x{af|o@#F5_@7M3=leb&*`~CiSb^m!Knx8NG+grZfy=3;9NAVv|8(sc2
z!!Wtz*%?XOPbZZ9e3us$6@9r9?0+(C^UHO+-)Vg<)jM`#qH^lyn<n-DYR=BLzn}YA
z`(^#%HS_B4tPWdy>CVn#{Z)L|W6S4)3M5bwe0rL0an$!q-ugRvGaf#CXmo7HmGs-&
zazTSWw;e+MxSYBx!>lT4oYvE02pVGxo<F^*iRmw>A(vw|`*OhgshO9T`KrcsU;4jp
zV^_@nUTO1bXVbK=@6_<!o_F`kw%q92e?OmB{r~%Y?ls-0Egtjh|LwfBE%)`6|BDwb
zTD(|PTzvV_Zt>T>=JyJs(~kGa`kj5e=3m^(6^zVm8a6gDr>E&&-u-@G^uoW>zDJnn
z+<0KtGp~N_+dDghZ{EDAI&HUzzlNI6j0I6!votL&BSFC%86Oex;+s3yf?W$a#a68W
z)oaz?-UJ@+lhyyR`t{xN`)ff3bFcZm3&Q?3io5TwJ1$=z^YZ0OP)ABhNomT22@BYG
zr8Jb4omYpi5A*Wsa_f`P^n9viopC{7YvyIQ%*@PRACJplUFt2Knv#<7^3qZ%n~Dvf
zMt+fedQs7)y8plLYintFb#`{Hiru{p)N_vAU6%RaKqJV8;GYW?DD3@w&U)9|ZMRDf
z^O~=y|Nn2-vsu|CZ*CaYem-k%Rq|rO?b$bqZNJ?}{`G8j{+C<X>ob3Tdiv_-=H;NS
z<(oG-Z}097mp0G4a@pU0?THf}p6Ro9|M>lTb@ugjeX}3(N}Iii|Nm=xQgX6v?lS!+
z58LIhotmn>wd7?`>6;sY=66db`^~Xf*vc*b>iPWoYx4hpxW|^?Eq!WN|5Q*+Y?*Z4
z4#({4>q6H?Z7unFHGFmQ@jkt$$NJ^hgDM{9HlB+U6rHbZ$qasbW1}-DJzZGneD|Kl
z)Z=${7GGWNFR!Ym_Uc-6{?)1BaVy{6-kyDTS1D+O$L`k)<>jB0-TSWeNE(|IK5|(b
zz1=VO)|QL+_Ev-X->PbAyVm-zkK1dKe2k}8);g@Svoq_$f=1A&nEjuJ{HoWqH8nj!
zo#I2S+*cPmv-8T?M3~L?m9P2G$R}eFkYs$~)Q2~l&u87;Rod0v9ejG4?$h`0*Mo*x
zw8Phh1O!X~4fwg={1mtU>+9>`pmIL(Fk7#L;UUA{Uluqvms|}E58ZL@^Ru(T^X+Ou
z13TFl7C3^2&&uB4Tf5YIx|V{%gC=3wY1gga?^ztTw<`0^jg3_wkBWm*0jRib=aanz
z8czY)INK~Y$it&U<$TTh5SO>Nwt~h=LE{MJcM99%s^6M|3NUs5c~{QOwf=fieg2L=
z1||DG$-QRgw^?xJj1Q<)_VD4uRl&>qw&mPhRQmeb%GA@-`m$@jzPeiVWTJb?+pX8N
zl$4x&XPI1F=-j@g<Ymy$A3t79beGe-Y$#<eTrq7)?(J>AKm!J#d?RaB60pDSFK7hu
z&><&Kf<4^E3#!d7FInlZHRb7q=&;*+DmTBpy?uS=jSUMkFDz($d3kyN&3(1IZ*SUN
z_SUHO_czmj|Nf~N7+knh`F!rP=kx2g?Koy}{lmk<px#CO|KIn$b#E{Cmk0GI*yU>;
zM1+Neq{P+zOuf9+Tm13@N9M=x-{&hSDV^C-_&DYnpQis!=XSoCiHF-}E?A%d>a1Sg
zS)Bg)AiMkwfBU~zZoDn~{A9Af)ztp}eseoJJMlID_f&p9^S<u8HOL$%Cnukzq(wJ3
zCLd>gu5e>#@p4JitSOw_+{XL%?R)m=w7&Vrj~}0Xy&hk#mA?J9@A-MQci(+qyZxS#
z`Mrw8oLpQ+`}XZq)6qF|<ml0vFE1~j?cC01d1~*sTiMU9MdzEYjoxnd_4RdgM@L7{
zz?Pb->d{P#6PM;#m7cQse8%|MtJUkxzP`F@%qwkXay`C&Z{_>F-(yb6Sri<&@wUu3
z?Tp0s^`X-~M_n?!{k9C$Ax=9tCo*ZL?`*S~aeJ#~9ys7|c|)SJu(){oG~MX1b>DX`
z*>p@|bLs1_%lqr=K~iA6++Y6l)9LZke$0D+YwKwqDU%a1Wj9lg-M@eT$dMy6>i;~J
z7q{^@PCsYz_V#x3y1Ke!dE2dd<Es{aHqXAMBP=bQ{p$Mqd=O4bO7fC<^wsJ5b<ogG
zf4_gHGvoa1udlAAota^{%(<O!S>R$fkhxp3ub;E|@t|2vS^4l=v(&wHy@qN3|NTvS
zaG+7m!s5n{A3vs8n7sO__eIj=*_%DQ%I<w8zO&6tOJ7|v1kuXweI?d+N;21n&U$>j
ze|Gx3%3~mxvhhmIsQUV9X4u-OnJq0WpMSkxZ+-S|QqS{!;io?D6aW43xcpi9e;?Q{
zuL{+E{Q7lvQ**QL^>wjlzr4IW_f%_p`|Pl_Q9E<u=OxGPC|J1jai2A4ydm?#f<{gb
z4ukOc+O3suHXfhz%<9(G?CCR2GADKR_L}<6GBK>Ht6P?OdRp3x3k&^<#Uz72rSIL6
zSmABuZ(a7r05k;7$<Gf8H_%8zOzqdJX?J!MKAY@sSEv<z@x9Z5$vMZSD9;L4j^3UZ
z`u*MAtBYK@d!^0&TwPtOo=y#)GJE#wFJDTQFLW?AHWn2XU3#onI{VR)&Qs^lU+<AL
zE;%Y1u3>At_mcZg(4=OT)_PtA^ZPZMK?8JeZ*M<uc<PwH{of@W9UPznfm>X!WQweP
z-JWOX=dXXi|NlKhkq5W7W`nv)psrT(@xHGo3_<4HJC@Dt;o#8l>-+onm&~dTG%$ju
z#`<I|AHB#Z`}uUbww>L*r8&FH-d<Vc%6+^;9Hd9D?|NTT>8mT6SJy^gPp#Zr^|j>J
zmrPKxed(s*q0O5&iwX-r4%$}y{9Io8UseVNh5*AjX$MfFK!5+AOPOCf4;^x<{dzTg
z(m(Sp@gG?--lc8k<>d{{%Uj3A&8@ov<gN#Q_n0;G$lJ$Ne|vLrhGFuS?CW|U3(D_R
zE>HgR?vdfU?*G@XU%&p;^v|C^b54O=wZkILde7zB?{}9wxASEl>yeygo<A?gY<5yo
z(wG1L?*G5MCG+x=_wV&R`_iJ8`^_z??0v+!?vClxN$30)Y|FZ;)!N=ZJpwc<esA%D
z1rF?dG6DDZ)r!i<ym|R5#5+#fLFMJj<?}8b=C@x1Dv22x8DCvk*eqB3CD1d-#ieD*
zf788Md0nOJ)~wM1b?M69-pY%wzq%?^$}s7O>MC0X28LCuw%@DrKHSd#y~K2t>Uutf
zOE)iWI5#)8^6RUsT-@BjyUX6Hc>2yZ3-$2m01c;a%B`x}wP?{IubQ_XJ`{MS>mPU|
zS^m-f<jIq>EQ^<=-mXlVe>K(G|IOs&HC7;wO!C#6=Y)Shkyw4MY~GFK+vOjxi`{LK
zbcEx0t-`7EubEHmyjT6+Huv71$n&<}=Uo1D<cJGsf@|i?nSP%e-rU^mK3UCI>*Lq1
z*|Dx}ZmWWq`%Pc>=xT_AgG1{%Z`bXgkJzn#6vAOy&j4KuP$nrUdFtdz&C9PrJt)_1
zG4Z|US8bT9{w*?g+vg*8md93Yo~!=tq+!_Hw>BHk&noB%I_di*&}u!eg0xxAg~|SQ
zEA483X=rG8fGV}DtW}_K1KSS=nEg_h`^;SA+AXGOXLrv~xXR0`%c|_nii?ZgtDiA6
zaGf}DBH;G6iB^@LT5f;6c=4j&|8JjHFMq%PerOg4BLl+<oj7R+P-6zvY*STr{rU4}
z*3C^z=hgknR8?0$omVdRM_Wh7=k@jV*PZ!omw=|p{N`GDd3XePd3kmIwQpFZp|1XX
z|HH?+p3lv>eWsPXOMVt>Raw+hR8$07PH?~|PTC=AYu3`K+Tqi7)}*AQ>^#LB8ogx6
zXL(Kb9g%Dd3<<jPR|YTl`&y#9YW12mI-u<K{cidE+nqd$v9({XPRo1VSsS+WZP$9w
zmv)}-)}1Wges)sGw%6OWWRpX0r<Wo{q5AQNQczIt{VB2Y|LzL2;&&krHKwnP-mYb3
z6&1ZLXQ6PFY2Z!SEvsie$_~1<=+gYMoT*2?ax*wo7W^;&xMv%uSi!zaRvGjA`ED^V
zFih=dXp(w-NOsG4clKNch6e9Oh9;>Ku^=`>#KE{KK~N@IAw$$kinfQYTc5l&p5<-&
zSb~wk;jA-*<JRDdl4n;>o>kDpz_1`qsbRsbl`ndpUG?;}aARNyFcx$O=)Kw^c{cly
zArnKxtQNl)AnSAv3ky6DT5N2|z;NKdfJ1|K$GImA3=HQu6b`7mq!%$TFr>2x91to|
zV`pHP@S=r}fq~(GlMQ2|d+2n&TTfRm57}%rxj3)kRCw$@X~qRg910(1yt?GLd(YP?
zS$^rCx-HG`7%;vI{jz)Fd69-!O$<!^EA?czoDTP2saC4Ce@5})vqBHzT=z@=^kH0~
z$Dy!-X_Yto+gCyU{txajOzl4}%JAMry#(aWX%9I$7^XD!ePdt<kz?Xuh+&X@%gC@I
zhDCs32ZPluW`=;B9108pY9$<O3=51daLO_;Ff^oAFflE-l{hVffnk+C6GuZ<YvdwE
zh86cX6c|>CrggG0ET~d$U|6y2g$N&mLn+KA>`Pc4Uu8_WzpqxxEN8|n^Za$czP{Er
zG719CPjGQ@%{le<-rnfHzrF@Hv+;_Eh%A|?>^`ls547loA@%vz#R;-jB_10$Zp^x~
zW8=I1|La)U*s?A!^R4>x@%Yx#*I}TMlSxx%&Rn@;hlOe0orufJ{ln|(_NASfu~62!
zOvBbTc57DUTTReH8=dD{%ddZae*XH#<l|d1FROv3ekYlfy@?PN6@7Wu{C-GW9BA6z
zB=?qysEA0$?{9CjuC1A=qG@Ipwzv9wSXS1mV|}u(PabB_37&WJ=+e!`J&Q}u+~Q+s
zFka8A@bl--NlVmxXIbd(|MTf|>h{~A%l%|MFFiWiJ$1r_2ORQ~uB;B%cXe^eIM~F>
zB5;M{>D<^DE9=8Q7P)fkC9Yj%pO(wcaA4|nwh2FeRQ&zAzW(YA!{jeVg#AHf45&}D
zdi}mtph?NRySuDver(tTsi!v8K0h}XH1f)SMP@_X&ouGrUFj0`RbO7Hu8aJ7Y|UE+
zh8>@7F<jc7A8-5hN^sS$m&>>2+%)o>bT;ks;(ohTpz)MRQ>IQ;_2lB^Exl=HViK}*
z=T0phoshS;wys@m@gVSwUR`EE93z9qv#pFSlMWp|e08xqKd+>bOJidrXhDN%?k$tp
zx}Q%$bD_y5I`Q%G({um+`J>{=%E}7Pj0+}J<T6x#zgu4Ve((3J`}=D9)Mc94`NIMO
zC;t0!++Isl)3fyTwW%s|tx8X&{+_Jv?=@*L4+BG}Y_r?~B`qTk&g*=7ZP(c*L~c$4
z6-;_(SF`cStf>6_Ec5oZ+`fw&yJjcN)z;SbZftB!t@<@_&YU$34GhauJv}|Wyu5aG
zC^IlDcq8$JK{W89qes@Mt&^usTefA3$@0|7%1XIaz286FV)!)w{~!0p#zwu<+}zx$
zJs0!$|6R7scea*_ipy;C{4&ky^X9Evv0{bM+w5m&X1==8`Ry(P!}-Ju%poqW?20Qj
zulMbipRzsg?y46rGWf5au&&5u=<MjY@apR7t@-!uVk@6c?RyGZ;!smlQ*zeyy2m6T
zVPVtye>JITX;y8IVt1FV{r2YOV$aEHl}p|+Foei}{JkSDL3TZ_Lch(Y4p0xV^!>e9
zVKtwCfPe|p^yAlst`2)Suln7^r_<y0JZBlDc8TdmE&1`I!gr2E;Lo2wy*xcZoqE%%
zFB#|MKugIUq`sNA?!ZzZaq;E)`+hhX8XAIzZ6-~g{PlhP|7d^vzgyxepNhKg+_1r5
zZT$YY@VLsQYX0-qOqn7AT_=$CMVo<vVZo%zx55IRpfx64qS{`%;*ydlmo$UQ3f4W}
zI6({B8dkNVu4w!C%1&VeoAC-Jhp)%JTQFz~Iur!zrLl!FG(0yHHe*<g$q(?H;V8<m
z%6#8(#)xKUF$-G(H!Feh!;DWodk(L#X0T}#Jk)T?oq_Rz;8WSk_KTMpB6<Z6HF!5O
zFda}nW&Vk8@p8rua>^}?)7cnV8rls%@inaKd#|~`=pwXu1679%3{+TMH#2J9ItGRX
zzfPSv5#Z<NH}f<*JNs(aZn5bb+!)pzdM+>O%D~7F;^F4jc57Sjm6MazPwnZQA8%Xx
z|F2%2Q$v=Xwzl`(T}MCubZ-T%3KX3*dGhD`v-`KJxK2y#hSl9W7#UaXT<qTe>8E?E
zpaTPgxMon0x_>xRgZqb{?muB(0+rauH2m8=t-Rx^_Q-?lEru%`Pv08E-iZ{N?&f-*
z--&}Eq@G29!PM!emCyh6n^p9ByY|Vm2r#Vp$DzQGC1K?grVG+}8CDAr6-+#bxfvL=
zme_2*>3t?6KJ2OG`Z<?3J)9G!8z<}VZr5u)(1Mb;R<qB7`c|4ICLxnRW8Ahs9yH(D
zQMmZkm6eNU=kEhI>zbOI*RC;QV7TfO7B+2HX}9+0oNq$Lx2C&7LQm&&<<mLS`ii5z
zR+KVGn&-`_`u^_imNOEIL4%KLqqY{c^q)E71DeVxe0&TvPWS2aXVc_kJfODs%a<=#
zg`QsRFU-L3wCu}^i$!PB^bHr+-hA@p$&|-?iu_JDfsFk+w{*H*?3Jb7;>%M(rEaIN
zI%t8+@lBbRm#ti|z~T1x{P4|bXH`5mZrli3vl0{>Y+Cjv!uvHZgTvQ@Ip3zUJ>UAN
z&~J5@)OF6kZ@1qEEjSDcnv{GKYdtV;g&G3`!-J_=Aq+p?Zoj{!;Gt9L>uYB}M!fy-
z@bIZ~=fZq^dc1$0n`@nYds}W;xG)0)!-ptSt%jN}7u`XNwSqr`+Gw6dU)U|fGcr~b
z6&Hs_L}WzDg6huvu*FO#K!Y+?rLRD9O~pFe8X6N+e*XHkYs&Y}pNqAaK~_JyGK1mM
z>-GDyZf;6_b$$JODf7HH5pmn|Vm&Xd3|=0y&9d^-l3+<tBSQT6YWIUyph>ilfPe>A
z{&@Y0zr6a<vWVxWPMr!$NLY|{eO>Lr>wbQIVGa%rmp3h0qO!d29RmZyinvRcE=`#>
z?b#L`ef{&!TR+N~sx|ES`|b9p@87RCFfz}XW}bU1L{U-k)}G4Er_ElzeA(62rS)}d
z`nfqP{pLzs<7H^rl$7@B)N#wTHSg*I?(HgFy=d`b+YsgV0m@7setvzR8QF)2+pT|<
z&e1kB4E+53e0W;gvSf{WTeGicou6kr%OrEs)vK%w2UZ&zmp)zn!jjcyp&QGD^82;n
zuCA_nXV-Uu#=N`5bc1SY_Ne*IS@Gvj&C(@HRwN(q1I?Ljoyy8^;54e%dzJ3fW6Ne%
zeSP(`tTrNI#<lhF>)Yk3JSMCAht0Jr1&x$WnKC8lcRd3`Ll?yHu2;jAnNEnu*92zG
zJaNKfZOqO~O`vuygK2m#D366~Y0j(MwtGhIOA($0%M=<I81~#dT5>`6e3|%W-MLMS
zS43C@7#gncp24>(_5Qo0ZA*g<8fG;!Ffpuf)Vk&PJ<00ZB~1y2bE)4;KwVabD>62W
zj15{H=T0;1nJL=r^x<wqsh|VHf-X>l?%tVIj*1dD7QRwyU~mvUtaFiJ&rH*1CxZ>n
zp>7O}4O-n`UFvMD4xtXv79{p|9jstx0u}xY@Kw!~4h#$p*H51~q49Z1$-#pMeco`!
zIDr}i53U*+8C}_y`=mboqTXCcA-K*vMti|CCD796_0vFQ--nOW&YfFStGK)5(~}M(
zdtJtWI*{G~XBV$mPhNU4n99w)07~EyZR(%}($g7a?=yY}1tG)Kp1$`EC()VHd1UW5
zenu)I88pJvBVXpUM;;J<af26J9IkkH>ULz9)$PQxi;GyNZwPD9wkl)3*T}%cU>ft&
z>a^EU*|dH++p5lNHjBl{<_}~!6c`%*FWRiLihEt?0;|QsR-haL_djYKNL0{O)H2-M
zRSIs}ELflbT2BfZ$ocp0`+n=GH}_U=|Mm6ta?s$rhK7f-dmm`}s6C5^fq|i7eH5r_
z|MKy;eD;F_jjyh(oc!<4bNkcx@5lfC{{H$x=XRM?BV%LGWCCbF=GT{(&;gk($;bJY
zE?>SnOn1GVE2s`%y64+FD|>s;TB}P9jLcgK9v%`p?K|7dmz9<E*1p=^vrMzqJVC4R
z-rw6hb=Is^8<USmg{FeKG_Najh1YDqUl)Dz=FM4VxwBMW9_bV|I<{j<^qz{1LPA0^
z51l7feSNjGqk}^?V#9$=zd&tq)5hy;6SihwUzK>c4LoZATGRXc_v*yMZJ?&4-&`wI
zPmFeM?rpQxt9e1*HeJuFQ2qT~Xky|*HeRVE|Nj2Y{`lzVuHWx=e|@!jeb$*7hLe`8
zS)=0_l##LG^tXiz7oIwM7NmITSI`*Ao|)IbF<RFB*}=ud_2u{d|8d6Y=ccHDhR&D!
z&As&I=H{<YCi|~iu)tx`lh?0bZ`wP5{(Kcs>AyAm`nGkCK%pi6`Ifo@xZTPtZFVN}
zr)>Eh#pE8)3M`G_J1VbZKoe9|pnepC`1$Pl4JNs_LO{#oQm4m0+p@=Vvf892@pV6s
zUi`9Zhvv1Nn>K9{k&uX3wp{+?$&*|h90gI+rc7C~WXY1QFnI<B2DxdNZB`*!*|nzG
z*EEccgL7|fDb%sA`LSWiX2&I&mzQyIa$bCPc6RJGe}Dh*kdTm>-%N|2`INr8va(2v
zkAa~<>)>7fQ=mb-l9Da$Sx;p5Y~#FkVWD$s&&4}Ci|0-|KhxNKYxec9emPqe&(6-y
zsEtXjM#jdnsi1P!w)$Jfiwg^<T?17KAIjo>v#4lkc_km~xhS2#XW^kkPG4VKbe>=H
zsq<d_|5{M7Iz7H_r%L9jDVkARGA2HH{MfYck;~KP&$U%mU1hDyuDrOo*tQz9`JrL@
z$6E|ap6mC1o3(DoBd)z4k4gV}(991SHhl5(`TXmDzu$kaAuJ}g?Cb06uNSt<U3zkI
zGN^;4s-mKys@i&SJwu2!bVMik=7R?bTQe>`61vX8z>pp%>rhiu^W{cz|I3ZX<#s3R
zgqFUGq8JY>oj7sg!fm<ArJtU38cqEU8Hp+F%w`33>G%{F0wzCs^5l<s%^p?FO;awx
z3nYdGn*<yf4!m~pN=mU~aJc$p>*54ZiL{~$T=o!ZRDxPdE5c^Hm1S6E&cwm6;8w!6
za!C8DA*=c3J;nvUlp7crRw<@cvp2lzLTdw~6}4m(HK0}|0|UMHo>b&AMDDNK`=)I7
z>3TamJ1>9#a;@Ff-}68VOnIeDKwTTRKADws=E(40l>xPL;<nnvHhRB3$Sxn^<I{6_
zllJ;Omp=Xn4K9m|FUMJy*@Mfn)II;+?W+F%Zr9gq(cUrkc>D9&p`oC-TmO8k?}l@w
ze|{8#7C^*qulSgxs-j|Xs9goL13*wvFls|WV`wO-JC((<o?ihpUM^*pqhW7v|Mkty
z;OK2Rg=?%K{qopZ8J<C)Zh7u)Gws!&y-O9g>vNkx$raRbHosdk8MH8=__^QGB}-oX
zdcFR-czn&mK3QumZEf#KB2rSXHr2vgb1QCb&5n+(1(mbfmAMQ%zun3%eY^F#)xWtD
zCM-B|#3i=)tSM;r`QOj;^_V4A12}zz2(8a=DqVMNZ8T`|?$?va{wY0ycXySldV)rh
zHLE{8@$@X30t$tKk9)pxdU%2cX)Z7Ke|<f^zSLwd(!lVvmoMFmiZ(GZG0mB#s;a7~
zskyR93sfMVUb=LtCTLk_WL(_5_N>RYSuqSZ_t)?L^XCs})VjXDzO|(#<MXq#dQUH1
zzAP##8oKQI9LwTmR;8~(ZicclFf_35{Owrz`r6vAzP@h(y?dIkn;k4NpZxQBeEr&|
zr>C#ZzrU|96{$Enja(dE5oKUtSfRP+8|MkoYO-CWuU~=o2u)V={c^Ybe&)G3mY~L_
z@p+ra8s@2|L_o9cA3uHsE&TrU`Sa9ClNR;KT4#NEadDnCs2)GS4GQR|)1tq8yPXf}
z^IMg@nc?K*WRh}1;P21#^<k^S*2+9Rbm-8Qy1!MnUoJR<!XMO&X=!0ux@3vLFOX{j
zPVO;l@R?!YD6HnA5quL;=zIbfNem6wzcGSBJK*cU<i#Ol>r5$82gnw!b=m879!tIZ
z?(S~T#s<@j3l5Hsj#8FIONxq$Yy!MN*`xaErxMmRlV;9bnLe-5?ccwDdDrpu1XmxM
z1MYiGT4h*%ZL*s0rLEWFR^PAt?d#qrQy68Ax5#+i3GO__Eq60H`0LH)^IIxDCfWY~
z^EvOje%zi2PEO9g4~m|9tG<F}R>X875<*QuvAzEJSMWmJst1kipiKlToZI>IUh~V_
zt$Fh%=jf3mJJ!6uvvc#d+}mlcAoUGW2Vc)lI6KSKTT)UoYJ1+?+g~FiBPT7na3NrN
zDWX9G>UMd)=44=CxWW?mmqo?gJRG!$2Gj`DHZZu5JF}^Y$#c^B_3KYt+1uMMHv%Pa
zy}oev3GVW>A&!oYvkVfQI#XX=TdVD9Rr+em>0Oi6{jH{g+*?oxY8mXS{S8`#wfDmz
z?o(&ZOi__cF8TDtQ&dds)q{i0SvNK;T>LV$FnCRIYHF&cfx(6=&%)8#FkV(t3=9kr
zy1Kf)nVFe>r$2rAWD_F&{^3?e6=UPzV-lcAlU@J+{f@o1J?pBMu)5!s;`6r4Crl8?
zy|?G)QXl9f(%tK4W*T2z8NA$Ur8xrw!z#9NdyV|NyFxEsyePM7V)=(#3`JK%!$F%e
z^iIpyehHMduZz*&_hV7i)+|*|FCU*Pe|~<RI&<briLUaux3=EeoZheIJ1Zq~FUX_$
z&$cqEXlQsav-6ci+7&<ZxtU|eD`9Y8V-CJ{i|!gzPzU<%o?XIKo}dLk`wv4(1ki{d
zs6+?~3IcTm`|bbDcv#NJz|i3JWUIe}*C)`*hFCdC$(2*J!=qxPK?7@PD<}GccZ623
zjgY;c3=9mU?Q@NjbpWkUUg+Gus`T}>Rq^}xIXO9j_Cu|W*m!8^8yp2gHoRcaTiVRd
z|LVub$Dls_EVJBI!s>o6K#NchG%}l3f6M8WwGJaVjqo)S)OFE$e6{@A-{0TE|Nr|t
zcN%El(_E|4OU37HpK~Z&UgjI@=-9X||NgqPv$H%WB_$_=X04YlTV{0%l-71w#NA~%
zEj#<{vS(*!zkYFXabIe;xPF+EQ<HLyN6`AXy`c3dtlVN1i)Mkk8R4H^sVf`>ElX-@
zVgl_~dU<JS)Xt)%lO|14@oeXp4=XF%mXwqfvkg>qgsqFoEG-4uvOZLq>BJJx$)F`t
zo|E2`?G_Ri{(8w<-*eKYO`B9a7cN|=ce}N%P0QRoytTCzv>2;Y6x=Tg>E%#3dGaK9
z3D%DfiMkOR99&&pK?MW2{{!g`&7D7g{$j``<sB8Ki}*cUTv|X|i3FA1GHz~41$8hF
zG%~9~hV|VQEU%xOtUmV?sNmUQVfu*k#LqS!$wh^ak7d5Ux3_Ou_)*`D=cZ1by7a(-
z13~laRMgeA6%-C+Mg|2<T09?AuC1ECWsAwurAsY!PoF;hIUskBdoPc|(X;D5efo4|
znXfc@yW-XBvvVwi=USDn`clQjz;K}W&ff)lN?(V$y1Q4eaJzSK_3VVde?FhrI}O?g
zcXqb9f9dOMpdDta$eo?1$gPX3pk)Ie%HsaAJlXgA-Q|tR$3ctWS4VD6`}K19d{86d
zHE5eDsMxCd`pR?CGWY~=oUpoINL}5&prD{D8<X98<!o<lW(P%3h2VNVg~M&Um+$N>
z26b3potUT$TGq8_@nX<;<=vXkXZwm06BDEM*X@<7dZFk$&nB|;)s;Xer>3BwAc?=A
zM&$~ZI9Z1_KG~>eY9SLRPV}(?4Z_4E#oc8GHBud}I?-d__=EqO%kKvU-noDOz<pz#
zPyyDB(jgm?-S@jqPU!90d#q0?x@WJ-w>aU&NuD~6JzU4`MZdYY!tj_F_r`LOp02Jg
zrtd!w%YWW+PA~PK>cQ`?=h(WZKQk&X-*#s1PZ6cniHuGzAP{z#sigx1*0iy52!cQ)
zFSmda2yBuPQvfM(Nio%N04eD>krmM(08%sY>IMcykQ!_TUHtRtJZvoh)eI%mppzR|
zPi#y+eqnXE{*NC&4&1ycId9&)A8$6FFZlS#_3pOB#KaZB%lTqrVjjGE*T*Mo_2A#%
z-!CVag8UeGEY0IR%e|>9gO@+Lu+TZ<;v!bBsambO%ikw`dvjAGe4R|)|G(uT`f)N0
z1;4-L*8KT+{KPC%?PWeQo7Da1J-D5}|L9EP^nx!h0ws7Pzo~*lYtt^C>N4Ac2M#*%
z`|hl0$hf&l)oYqgr)Kc7gp-q085%l;)gS%*{M@4Qlgg(jCz%;m1T19Ay1J_MXt(%c
z@9BCkC)tBt<~Aj9c0%Z?5YO`Ohi>1NR`r^4;OFP(TT`>IuXFwT>+9A>%nVsqRx}=J
z<xYNjYHHZ&>7dwqQ9B`#TcG&e-QDduH#addyt}irxub*Q$FE<nwyloXsN^@tBJu4P
zkjf6DE#Fr$L~hHG%)7s@H*9SbBg3J?hZz}m7CpU`J6k(k&!*x7!}_?ro3i@A=|l2n
zb#OyVYwN=B^>HhLmU3B@ykKCc`1i+>;lRCnaohJcH#c821FM`;_1=}S=>0w0E33o#
zBR8iVT@|`|fd&`Dfr}Rf83crd7k5{FeAEh8ELkS9hNWNL-fgZ`>4zU5lVxlw1T2f6
zUAd-evezr4>+7-)9}0Ht+<EZYHM5hoU*6xBU$<_Z+v%w7dA--xMlUz228Fqo{^{xZ
z$3Hzi-8;?I)pcpGnWTH0o<mYnQo#PY+L&D>oV&~4yG>Mb?YZ{+++1lnIXR26H#79U
zy|}noBY2t5rf<f{$9Se_hwJ$ksVONbEvjb^7N62DZ{PRn>FMRcZj#PzxlN+-^8M3v
zqaS_0Uw{17)zyI;lUyg?HqE}qGuu4>*xTFNx2Ence}Al%Tl~VNRPXGi-k_lP5_e)l
zxdR)IM1${avxSL=+ji9dw{voG>bbT(_qG^=LCy_>HF0~TLRW{m-rraI@ySVHpV?--
zOTDMN9q*I9tXK^4+M*uq!(s}{{pL0;(zvlDQ`ju`){^M?0S!;i&KCdu{r&L<MrMPO
z7XdeJ-dtGs_ty-w+^9{z>cROp@Kfpyrj+;h_MW`AEn;KRjcvKNt<SW9<Gz9C4m+eo
z_*Y9zZYMKi(y;s)S}u~@#n9Q;ckIQ*#ev)NVt4G`?Hn4a6S?Wg6YPak*tr>?XwpbN
zeS!7F-{0R2>;6=LvYyXOqX3bkPs+CE-#>O-zP?90d|kq+DVh>C6$aaKZZ`Sb{}tJ|
zabwuISzz6djh2)%y$^bKXJ_H}cd;qw=gHRp`>C!KvLc~qH-R$fn$K*o5r<D*D0j%o
z&7Ejl{Y_<i^zJg<SJ&6C7nNrSSnS3tq8B5f9low+x~34Qz}g#bRKhq(ru^L<M;8~C
zn%dgZ*IHp~I)v5zmN<uja)XQH<?8r`miBgLhN7pZmPSuUDrCx{ASy0Z$2Zv2|C3=z
z$j@IN{rtg$ge|-v!v&X~tB!B5u(D!eNJ>g7c^$W>A`vFz*CxlRZ7DP>PSxaSRd7Xx
z#hp8M60);rzqtS6{(k$I*x24_Tl4NpfmVj^cIoWs=s2-zntpsAXjiIkcUPC!@*JbS
z@B0`|&b2nTv9T$5bHniNuEp;Ci+pApdH(B_G)`L(v$N>Ek}W7VdZ{nd(~!5XlX-f2
zy8rSXqqgt+IK>!DuonZTOV0FwgE9H!hjNE!=jL|1_seA-J$kHHy72QeUj~QycC`;4
zJ!(ok+?M$D)zuYITeW_Dd)uw<KQH0dmQ0P<T_&KBlfIk6pb$vak=(~H(=1mi@6HZJ
zh5!-P*Von_-c|aVf#L1#?d{#&+@GGE?f(1wd-8z>MhUADjW=)JfC@jK*=D*Y|H*?x
zcS?=qK8BrDU$ZuC(+*oBu`T!Zx4zBb8op}(Mt%;EErJv`42D+5B&p3qx!0cj-&6Bb
zD8Bx$DX8XGS62^N6~ei@?5)@PEue(bVI(4^@Lyd)fx$TaoXhWTZw<4r=}7Rf{rLU+
z@r8xXFXu{u;wZ4~AQQ`hi;LYiCLQJSnQ6otyv)aOx?b#t>hF0KRaK8xuixkO{>#6^
z)1oc)Y`^`C@AU4k{bc#C`q8E2`89q2=k54%Lw)|^{puh|I~#W|UNHrRu=R1g%?BIS
z#qQ2J{pRi4k3XN!fBfO$;T^TV%dFDA$A7b{Vf-78#ekE~f4m2ozmNa?#GqzYj)uwV
z{)-A89x5m+GmDDbnB<yk3v#mHQaNq`hKCOyo|vjVJ+E?I%uWTR9mUW6tWsP-DRaul
z4GfGQ{`@Syar^e`Y1S4N8LvV4v_s=7&&#<7_BSqGtPINar{nijEL>}@y3oL~{@<V7
z-tXey{kQ+Vmf>EVY#t*=W%kXh+aLKHjgm^&x^}DZWba@7{bv8|zrDJ;TI}fG-}9CG
z>x;gfe0=_KzUQ6&|1CfLP*0!#{`yDrX&d^)SLiP9=vY!N^z!XxfBU0zt;-9ZosnGp
zwEEi{$Fs9cH)dW|yRtgmUtC;BsHyDjtw?QOP+9P6dc?LINzgXkdzpXKKk{)j7^R*{
zxWBKq;@6jzf$m?F-TNE@MW$#5A4>rp+ORR_rqPr0^Y6cj6$0r#WiijbzAyXwx`kzL
zZ@rv*s$T4U!-KCj3RAU04{gc3Y>;q(fnj~R+xL$j8{6C2>wdr8UUF^%D3NF+KadsJ
zBbT?`wOb67(cj(O&7Pm1uM@XN;`;h{_kx0gs^#wBP)+>6cjABL&rhmueKMV?r>8x9
zc(`37bd`vj&x{7pBH8jRkTMrZHh5p)95bTBu;$&z$H!mX*=c;}(4kA#qF$}y`f;EJ
z?2hvHaaGHmR(^PORr}Ac*XujFy1d?pXoxOayx1`Bjz!GwGTptwib`HW+ya|+JwHGH
z@$&g~hvr(B>vV|=y12L~n3<Wm7Owo+Soh<D;;QiVeZuN~D%Q{b{r#;Gu|a`P-fqsK
z+NEm#-rd&TU7agdXq3FV!kK=4o^R$XhKBloKiQ9Viywc#|Np#27T*3dbZcXEYkhUk
z8k@Gp*3{VK-PzGNT|ZvU`q{x|_7!1krT+c-d|u=|KZBfY6-#}6{T#bmE7!tlPq-rf
z{femiqkH!9rN{N}@7dnCaU<dUJX_7K>R(?pkM+rRYlp8}qQS?Yq@?uV$&;49zrQcH
zxOVAr;>+i!CcRHO@aw&_*f*EX#~Kk+^nxyb)lgDm+FAVk*txmZfqSdIrW{xO<52(Q
zqWg*Y_Vr!getvrD{pR*|etvm7pE94A7@2jkyQe*x85BG@-Kp^Ux>#!w-6)frg`7u^
zoSSPsQQ5sO<@nNP7RQbqQ_|7lxp?uSW|y}`;<jraw|_C+YU1zR&&uH9=C;V8kxBDj
zdRAYuj}Onb{QG^5&1_3G&RvSpt*zCu{WtAd=F5-lI`(oaJF7oFVtw@JQIJgb%a0qr
z6sMjnFU<P1<xB172M3vd{QSAlZ?4sesoLS29*ej-1_TH+T;E?h?ZiCW-L8f2n^nE1
zMTmgrz)jAzL^NEepR~1p!CGC@%Cs-n**xY8Z~5;Ola;*o?fy@@_VLeOdF99YJ$5fA
zKA))UzGb&U<mNP1hP4%+K744HJbCiPZ(WNr{-2v^y!_(-$)MwbH2VTYSe4!Td<r-6
zFtqc_`vp#%x?z7qLxaeBZN>BF=2}OKNXy8q*}E)X{`!$=n;AT-Atm)a#^!?!iHF-3
z#_z8?F-=#x;riL)^fNOWRlTPryuP+pBW%r#lQ(u2KTrDi=jV=^pGJ1S-x!N%2C*;*
zh>5jL)eZ;sr0(u6zb>j7U-PlmRsE*2d!Gv^<=oxXsvW-Wz}2gwtlVNO3^9AFMEm7z
zo2E|}|Mcu^w#e&Ouey9@8a;e-bF)U=o*mPk->?7QTm1ao!Q;o-pPrt6-FClW^0A0H
z&+qN6{`lsmv5T7<lSf@)`J*G8EG#S_Q}<SXH>>hZKR>S*)NfoqzpiQZ>eYJjUeQp0
zHFk+=Cmm|xbUVE%^>kaOu)30x64T!5@5k1~?)EumSNVy>f4<$(rQXv^&K?8h-+sGa
z9RBlc4n8>8+<Wcn`gr-TudX)t_w)by`Z~R2l5O!bpE=g$e9_x-9N*p9S^9g9K_Zis
zSx!eQx44pm0t4IO*O!mnxDmm^&i?rI`u)cq9qkTW>Lse1_V?G<sL$J^OtU2Z?wxC0
zz9{wdGzt4U8_;&S+tZg;=H1-HI=}8$W>@!azqwWi4<BaU|L0S8;KQ&@DW0H4(EPez
znrUZd9Q0hVwqfoCP#J!&(W#YdW^DMjoJbkVq9bp9?JR!2$h}`q?f04|r>1h-R(&}z
z$FjKO^}au!yhXG^I8IN~ZC<}#KPDyy)H31{)lyJVVTp^2`|;_tzVEx@3kw`yTv;h>
z_y14v+8+#Y_fNjOwN=}y^i>NZGn>TG9w}3<z182Zff}f*!*svAy2`EW*5h&6ruzH4
z-d&}yK>-}~k@3&}N9+9NTD`ctd%IrV-(O!dE-mRixh!|pszsTXm)+Qq*nF}!=vES=
z)5}AX%GSELxcpaj@0T;(o%j0M+7pvhyKjD-IB{ZU-@b33o_eq4yfpjUo12p};`^jb
zvl70)yQ_8`w1qmmEY+)#iS@(v_<Bj*-4!2|?%ch5_SlZyyB~jgdOC9!D3b)Ni?Q6i
z@mZI(pl8XGt;NsJ?KQ96eo2~Jz)Sp3!+vX>cO5VGKdAk&&Z_7Mhm>hnOYH8lhqtz7
z?<jjKRrc;qXB)3{((P@zFD@=_zZnr9AJ4+Z_UOz^<6Wiof4_<|F*64)bYi`0#m?UD
z(q3<0@<KpHM#g8|>ABYCVQV51i)Q@3aU)_)#73v<DyL4L=014vAgI#Pdv<cNdc>BD
zi6<ASnO5%Fxij(hw%oMjv!dm_(&oqb?f*2qyuAGJ&CThzKBb?Z_i*?7eTV=2{9NjL
z^u^r-d4Wy4WGssm?Ck9JUiJ`_mX@xlsycM>qTx-$va+%dpFdx=Iv&}*wQF~acCn@`
zpRr?1jLe(2Zxge#XHUyi-DUsaYYl_u#9PmQ=0AV+s_Vgngee+<hZa>xOG`gFF_HP(
zw{MwqZvH-b@uDCjBcs~wz3RsfA7&0;ALn{*j-~Fc=jron(*kp{B0j}}O1P>(5!T$>
z+du;k8!A7iEiPqiW^``jF}!J_dGO86&4Fv9Os8lDv(?qrMHR2>7S~Vu|L^aKIhMw0
zXJ;+#&c3}(H|^}KR-MRA3(DW$`|#-#6GP0t8p+LRXPq)KG=6<~nOrnKzV@qV)t48I
zUQ@Ley7$X{`1bAEH_QBcHgjw$h3?n?-y3+Qg;V&#p2}ho-6#=R>oSwBpD&lsFL-~?
zc1_e)E#J>??(Ma9>y>JC>y=tq{{EiZ?>V;BX4`Uaw{1*5{^}7EGjrkBSD`#oCLEyS
z$lTs@@$(;F9lkzbsh8-PIhL27*lFf&WLPM&x#Y+0mW^kFPv5*L8DIamwCni^kF)$G
z+j4Fee0_CQ<Y>y-S)$e7-}!#r7c_bK(xY={&zAo7?ryhH>M0fLW9QECG3e-R$jQkO
z5EgC@Umv$r<K5NO;bFFn8^2UW%}USWnm1iPeo@KGOFN35b_M=^yF^4IK;dX{p9-kp
zJ#_eRu*~x}Z+b2+c2~c3=dg(Pz10U^?-bPe8522c`O?<dXJ=*#%E<HxD!V0oes<QP
z^3#%&Z%<9r?FKD9a9+1+6_>xiKg0Uj7yo=bF8|}t=kvbD*jQN~*8l%4UsF@FrB*L~
zpN(s!nump)ot<69pC5)s>F08ab|3GTKYa3}XLY<<O}K5v2ZrVT^W9bkE%iC}_v`ie
z6SK|NfBU)l$?hL#ZGwO8+xX?T#ls)hR|c~ir=2-)ZmxCV<72!G4a=9SXI)#9d8Pc|
zluJv!AAfmyd4@%y5-99ze}7|S`1JI2d*0n$i7zfJJTYB=zFyv|D=R_6HqXw?Y~ES?
z+$l8PysWdozrABY>FaAVtV&m%tSx(ejn~Y~Ov0|lVpr+wG!v<*?d|N(&dzRM7rR^P
zs7c-(iRkTlN3X}%_j*oNlU%DEyo{%*sVM+-c--0IBOQVrot+1_->;j!=+U{WS4BaC
zI&Hkt8%ke?y`6DoWib1{fB!NrEI3$QnEvj*gW$H-g(9awEerbvU5he|zeHK>ytJqC
zbCAsEeLcDFo<E=d$U>oXvi9BG<@`H~o*r5kyIZHKR<}1j=Fvvbs9N2Lvx0()g}Ge=
zw^+OU`}a@tmimWZwm%N@+b^-;YbXnv8l*XQrqqT%pEF<nV_1-Nb(L6cd{uQdXnp+*
zo61cmbKCgk`$}J5dw6GO@vhRZudX&9Ofa}TbDQU6wT}LN^PP3q)<oXel*(Q9=0>8?
zw!FK$GHz^81f9^a_^EC6w<GKK|I6C6Q{Y3@l!dRZu2wcMxR6ol;K1<j-|zg*b2n;-
zuj@%V+VxT|A#zr_7x!)!(5POYto4S9k4cjY=USCI-Q87saZ{@I<ky#-4!w*jy6?Z-
ze?I8cr5>*NyGmb!607I2W5<p?>bL)A(Dn7}SKm*Ej@{i|UikM{sjix3YjoD9J@x<h
zxgM2WYJZP$p~&Vh?G}woCu>IrY45k(R_XQq<*Qd&7d!vXFiZ}TnLOe7Jlkp=tH_Nh
zCmj6NO(_)B2w+&XYEks|JU8cPy_g*WGmTOYU0E4?)@)|ghX;&GN=gN9Z<$(HT4sh{
zT_3-{Fa7*H#rl7L)ZR~vC`x3yAnu&+m9ukc;bQlGztVXpZ>l}Kzu2w!(66tr3%|XI
zys|F#_KS)?pHAz4`1sNB@v+|0`s`O%Rz^)03FZ>fSTOg+-nTb4Cja>Ldi~jBzkdEq
zJT*mA?K&$ft7_B_G5t6hZZVw;b8qC|-)DRA{p4q7XD8p>l)8&4<@`L`UHiW-18tez
z^CKm5-s<r6Zj;q~&m8;t`*-ruF40{~DaU#wHKMnzxoP3<?tW&5p>ue{k)uZwudWKc
zvAbMfNlD2d?~cV3ok*d;z`z@OtIb!1temuFcR#<por{YLi`|b0%_;XobwgK8xoPd~
zX(++-<HKS8j}P1BmucvwpPQq(FM7%>o6V`G+dzZ07Vo~jz5V0s^>{%+!N#<+vlR31
z?dj<6Kfc(#|G}$QT+-6g-JcddNoI5k`~LU){pb>=3wx`}yT50?3=Q*MlJ=*-yW6^0
zUFl1mkpvH@KnY|&$Hpu5;I#h!mihDL%ii2*e82Daxs;rQ1cg^uSGPxQPFt9LeO=T-
zAz|TWR&KF`H#as$?5nZ-_kI6=$)mbaTR1kSojvsR_4SL}a-$auzrAoF;K}*<@}M&r
z@6Oc>Ue@C(+$_n%*8NOigUR`rokb5<uitlQbNcz9kQ;yhe!t(*(Q#m=ar%}SEYHu+
zcmMk8>O|}Eyx7gtb{0QZ`?Ygl)z?)w`F8co+h3c-H!I0NV$02)_sf2MO5N-{pUL6k
zBG-)t51sCQvMzt8;6KkM?QzlbbG^5>=f9rj?&hXewe{BByLX?&7JGl*Q~0>ewe{}(
z`u}rZ$iBL?)cf_UjkZ-^I7(k#Ie2lg`@=VHdS1N9$jyjIPf!2y@-n-uRmla@=&H-#
z-rhD$IU$hyWF@E>SM~K3s0@2`eSN>6vfF~XzrWOy`(-Q_iQ3s#e{)&r)cWDgO=Hjq
zBed%-`TfVo<eL9~zem0K^Ye4y#w1spiVqCk;`(lf+jzIyiF1N_TAq{D65rq3+tJf=
z<k#2NA5W^!2TiO<nCHn@mA*>Z*09;c-@D6N@Zf<)X2bMzGDnUba|#pzrKHNw&yG%3
z_n%;2U)LjT&iD7%SL13Qjb4sGEm7U55H-I!8rRpwdcO~uq^qW;cGR%^-JMGInSaXf
z?yU|Nah-T~cX_nwyu!}oOcOwx-|wm!7zAueKc83jw_UzY19Ymu?tT9A?Sgg|rQZF-
zDXiu(QOWhmzrVkCl?n<92JI+F1nue0i#^^ayEN_WEFpRM_0i(u;_9YZS0?nyTEDsm
zI(1=|d48VRdC&~><72&-b<Y3$``f#fOZ3Ul&(C+2Uc7km(d*aR%xpXt)_(r>ZCa<W
z`mD3Xhgvuvy?whj`raZ}?vEcnOo-l|_ww4^9fi)DQctU$on>nL)4aB(#>ehE3$L`<
zltr%Hvtp*3W`{{ym#w*ZV`K91uGOno=T*MDvorO<fyT7QzrMfMw=8;cLHGQ8`~6>D
zTs)i;vpw&wO8mZ>%xTNp+uM623=iep*^qen$l0^L+wUAb>Z;~HFUKtJ)02~vG=tR^
zr{3LNE}ovA{`2Ydcoid~pzk~1-QK=_ieBukH}~&s%bk7W#*L2k>(}#0oB4>xFZYw3
zeB4q^&25%RrqZfaU5hjpty(4a{m;+h!t(OzoWg1|?mRy`+k9!l!KS3_Z0)1n;^tkV
zf|@ZqHhg(``MAcjH#avwdiG2$a#PC0TU)bVC!Lz6t3B7c-0!lDyj_jP|KIojy9A09
z78V+I_4f8owW<7c;=)4b(!${7exjkFsV^=p+?0J??{2n~fPjL0?U#w5=Jz9mJyWuN
zetLTN#l^)BpFVB%xBJOr|L@1*o2#>z<=ohC@X3UF&y~^J^_-lYKmPgoS>*V$Gc$$n
z?kYXp$jm-TcCvoFUCpnT%OiG`Xf9g3c<rS0jY&rhGA}I=x&QFTqi+3z7Z(<ayze(^
ztN-`&_?ulHJ`^l|sD8if)02}f>i*g>I}AWe2BPiq@7a{RzIOIW4TGGV+>2XVSD&m?
zn&!uo_ELsv+A~QZp{8$dZ_nQI8Z<`m?d@%Fkz2Yw@2*$L67%Tj=sUYgy|>r=`SG!%
zv(vFtNYwx|B^b4Zqgzb(Py-`#z@`*W&}iV}<NfA8&6$~)HY6Tq<B>Ky^J4d_mzS4=
zhIY*I@Adf2wVK(pHe{ucn0{Q3y8pZv*IZp)6)h|zrfP*=TDv-UIp4GM^YcILE&TJN
zP$yyoL+R^lSJ!6W*<sk!)U=`SvD@8UywYY078W;BCTn_s2DLuH>hsQ=oo&7`;UH7U
z>M-B!>vC>xir81P^JJxEQc{wDl+>!-hxXU~t@`rruJqQdt42Tn>Ba0QSX92(y<e`E
z-~Nw)d%v9P|9^i=U#|{X+4T5$|LbY}GL}N1sW4D4VgLVsw^wK`YHntZ+LDpDt^UG;
zgUz7XEl}$iw5;AVIp@xfjd{<$t>5>HD{@oH!B%eZ4LLWBVtw{jef9ZwZJFA6Md!8$
zZ*FeBu`!u_UChoTk?iE;W>B^E`r6uEJ6gHLv&!fC@OlKS3ek+&QE>2yoo4US?4Qn(
zpvpe=*O!-|4BEA*qq(`+B>S4rwe|7(`tkdGOu_<1Kq-2jZS|>z&h3--o<G#eogHp(
zRq{f?y8N9<rRdcu>tc6z&7M7b#VW0N^X3`V{3x(2e;2dJP*~k>ijb;T$07|-_R74y
zZEeo&ZN85lJ-Qb;Z)?_7q2`02fvry;kISDv)XM$z;$nBtW2xunM23V;ZDQp<wIXow
zlS8fCCvU}jec(H>Ut3R6tii&<;>0Y|?2^~v>*I9$`uaNKWc33UG=!`UJNx9fm7bp8
zpFe+=I5aZtD(&m*GphSjvAMqd&5ezZo;+C+{qEH(EzppH^!KOJ<GrToM3$VkwXs=J
z`}<qk<6B#^)#c>mGN+|4^O@-r7wBt{azdc6tn8ZZ_pe{4{`vWN_MXY0`G=2RzD(f~
z)td2V_Hw_ull<*|x`?<MR{i+-^W@6l<!7D=iHobRjoK>Y8hGU1y*MsWEtOU-QK9PU
z>Oc|KsBJl!->P4qn5dkTpRaFu^6EVX2FM)&tlVN#A~&a<e0O(u>i2hdg(M_2Sh++5
zs;jFf-@m*)|NgW)JBzyyCQMl7JNwj$iOQ)@PE5SC#8cQ%f@hL-dEU;-&&%}QU0m$`
z=<#FaRja&iZc1HR`}^CaeYMq^(c9LnSf!=vHDy9Ozx=Yud5MXMlPrtV3QJ3;GBUGy
z1O!ZAVP*CF|L^b7t5-uoy@gNPK|?}|R;>zI7ZYigcSmEoe*Co4)Adic@k%cVTI#iE
z)vBC(dv0nRJ9yAhOeaD?N$LCh``2sNfp$*q&i<t4?(RO*x_sTuAM*8o0^huSTUz+@
z)6>iEf@XAa^YDn2mzPieT~b_p*-n00((|*k)%EoB+zj>f^gg}aet%YP<c5UCljlRS
zKAoAU-2Sc7MAW+cUCiY218?5G6}DCT{OqhSJ3IU2-%GX}Woo$;6A>|^N5ar)&z?Ol
zp`nGv#gjq%OhF55Cf|O4Z*R0!`8%D+O(}w*p+`@j_IB%+(-qf`^C^mV@0XiuSNqH3
z+#E~S(9n}}t+(??nRxikv6z_h=Ja&^)VH^`URo1rTv$*b5E{C)=I1A);%7cPtG}<i
zx#RKi{?njUM*j0`7HM=nIWf`s*VotT^?yDdw?27!(xZ1ryTvyZJ@o<|-E-sS&CXS;
zf;J|(&NNQ%b8&N1+v#8Y@7HVnxAy}B121h%cDJnmx5u^q_5Pxy|M8vP9jpqKpPz|_
zhN}9{vw8IVxq4k)-K|ZaVIUhpAA{;|Ie{XsTH)(-yr=6;1s&%8@Nj$T$w{i89=6MO
zty*PN{VgXpW^2~fBX{q{_Q_f=i~fFGzP@Aj?AhRwN>4$-frqWR=KI}p&>jxm{=U9x
znU|M!9!!|f(7+HIv%l`IOK9lJySul?>?m-2^yra_o}Qmx%npUURbPcdLzl+yugjd4
zzSynz$jOtMM_cbUGP55!dD3&voH<K!Z*McI`jR1OTeW3N=4H1zbLJemcrg%klw)^w
za7xOOKmUHe|MdI){^c(|?=F2E_Vdr@^Gl<)W(BQ{GJSbzX?M=;ZMr9S#Mk|F1+~{r
zyFD|Mf;S{M-rShneshO)`8$txKG`EzuZC(*i;0a@RZwuqyT32j?A^=D%Z;+GXng$m
zQPADpy|AQ2L|$GV<OZACUnXZiZ`rben~(3B-n%_J_n(<*>>Us=A@8@4s#nI@(>`<G
z{QCWSwyvFPoH+C4WxmGJ_BB5WPR=x5u6OR<y*M$wm<+SLb8{>oy?BvPG#^xk<lnQ|
zyzzeB@3rd~PEOGbUetQ&NT;xB_O&&cvz9MC8oRINXUdZk6Vo2=DtoKd$}MiT(;qZG
z`C=|7KmYV;y3twj?^dnq+P;1JnVH7NpIqH8t{-<|Rp{y^g^!Pcih)(DPW}J)eSgYa
zljBE^p8WRq_R`qhWl_}^gjBswTv-_`Y<ts7KvYx}REvkKkBiO8$vJZES{P{QtfHdg
zr#Cl^CmVkJ_z~0;czI{%<{i6sb*)+zv?juErbXc*P`u84GV{_SKbI#5o7s)>@7etP
z@wneLG<4(U&6BIXzB<_@s_nBaz5e#u+2&7Y=kJ?%X{mSjs#TtO`Cc(Gb3kSFt!=s4
zTXb}E&b)d3`&)6v=lh|n!=^qy-mfktEG?})+bs9ezyDue27?Zyi`iRcdU3~z6CR6&
z-#kA*|Ma7y-NL$F!IPJJyyDtzZtp#D;>1bz^>sIQm#;rF$1*tU`Z`_Esg#RcyS?7t
z+Nx?`U=X?f`y9(+P}{6L3DnG+X_`Il<c!Vf=eye5+smd}C@45EF)=MEdU|Tns#Phc
zr}>_nW4XAy`pb)nWkwn4>FV?5&3p9nrDj=K*&>ZD&~{a|^$o|59P!v)_I8U5FI%$&
z51a0Fv)o%V-n>rDoVPvi?xaJl+|eO7K*J!Hb`&NT78PCE$3J(@oF$%<)rx+7dAWqo
zeOE_!_vGZ`eW0L9Ioc&!^ybFKl>0k-`}?O?e}8v!Z}s;{vXkX1qk?X@y1Jfxb#-;>
zt1BywN?(OU?ycHtQ}^e_lWoRnX9TRRt$+S}K7Xs7LiM*d6G3TUL*ikV(9oZtbC=$&
zE_{3}Xje&QXLtAIxjOD{ZeD#dmOl4bzkK_4?bqWORwwiB?%Fy<C-Tx0yVKM4^>c4+
zF_ey8>LvQ~$z=bYB)fk<l0Sa`ZZ7%x)m3fH$W2SGtc^DJ{k&z%j@P%hudk@6IPvuK
z^sPH=tG{)0oamFa1|^_2e)+tj`BSz<Gz845`t@a{PVBA_P>gKbwhh!+<&`p-5V|_-
zB&g7j+gr70)vA)$*K{xL|NP;hGpLXT1@0}+;=jMXre0kYDkLpEJLS#n*8bk!-YY8t
zoy)85OtJs>!x_{eC<)ames;zv<ATEE@JC5WNhx1nT@Bh@mK!MI%EQ)t<JK)u>((Uy
zp3TL+*DFsNFFhLD^!obx?7~&6KyCY)e?On^T3y#KXFI8tTiomFs?ejyj=6<|ipIy^
zcd@RWRrKV9AgI^^6~()&C&zG>7fP9CrEHqnXu1FIx7lCb+zhrp>C^Y(MFuA)r(k`3
z{oB5ayU!VKZM}POvHQ~e`}@?^H!K6q(VduQTb=Up(a}v6ACo{SbWg=crHeCmm%sPg
zU-x&3$3&$^4<0D+@$m&M@el;vpV89Zt}eB^?r+u0Yinm;SsCp9>dH#xySvM$^Gchk
zR2o&jx}rJLBy-Z27Z;tYzPwPJtnNQ;vbz7i$u{%t>*uXHq^GCn_wL?a?eh2cuGae1
z|9Yto8tL5feD;U`OXR-17nPUSkKI*rv8&uQP$m7`98i>WEmFDlGww<0!&i?UDT!)_
zO#vOL6cRdBP}%LokB^U4)6dPBr0OlUv*hI@y}T<c0w2A3qXRkzZ*Gcy#0H0)oSZFc
z!THg<N>;8|r4_u)XX5GU`rV5(HWfej+gb5((U$D%ej%Y#OJ84;JgQ>i|N7$M_BXe;
z`-`|vyl^4l=FZ~fpn8Odt@+LU{r2Fb1<G|(v_idNVq%WmzaJkGI`!7pZ11UBp<BWP
z^6zynEpHbV3|e*c=+VUEeX^h_U$eYB9qH%iEv)(Z>BWVG%u(C()=DQ8-q?^h!@4|g
zk?d9fc{ZIBCJ5-n?*pxdX`DV?JSR6-P)w{1)b^5L`|{vmGsu{*^>MxI{Bj459|!f?
z8`iGX71NDsF-||1@Z-Zn3G=);fp@O14i^*>YML-XAZAAa<GXk7GOn%?1+BcZwzdW}
z_PNFNT>k$0x-spn6vKggd#gc;O|!2(`1ts^M&u?HtCAND+j4IoN-$8cu#lLn=IgYx
z=xK@UH=VP_R#sA=1tgnNPj5&+FUPRnx^Cah=i72`Us&oberCS?eT{F=&d$D7Y*YPB
z=g!@`A8)45KX~pO-|1<(hnv~?4U&)XJUKU4T2WE)#<pDPq@<(;8eG4=ylg($%>KH~
z*!20KR&EYXPREQ4jdd|Qnas`2fBgQvIPq}XirC%TZYqj4UUyb`cW*C9f5i4YSvmVU
z9)5m)&~m|UF<m3+@_&CSbLWF5vzPhI4A@<kYm#x{z?(ZPA3uHs^#`1soIqVAo9b^o
z_wL;TjW0@>WHk8O{Zu*oxu>h^(5leY0zyJf%<Oy)E}%&klZ*=tp!4;mr$4x~)ce-w
zJtZ%Na&mG$Ty&SueBW+<^vID1KR!P0=;&~msugNsczwT1NQlUsxpPZD^Q>6K<r)ZH
zm~iu^s^v@-hFqqTNk_XJLqq3Sm2$B)Gal^{^)6ab>>60`?M)<THk@I>-uuG;=1-~p
z{mn5@gh$>^X4R@!`_`X%`}x(?)d3=`++sQny}iDh)Z#<$&2TVUTB%m@DewM1TM^fT
zlT^JYiH2{@3S~IJE?>jIaLc9K)APnZUv_@EBd@NmF8uh&^~mw#hfkm82HoxO#aiv)
z$;s*$SBLB0U7!S7HL$1hv(LHtA3r_y2KgAYc41@EQINYpV=nx1HV4*5Z-4OqeLt_X
z*^IfblO7%ElrT=?aRCKuK&Yq^Q)sAR;vtsF#b<P4cZt;g{^lAIGR2I&uS22u*_j^?
z+vR=EU7a|~#+Bvnu2ScK0D(;@C!5^+<rLlfWPUuKUoRjn-Tm(F?%8u?zW)6D{Kvc9
z?|tMZA8ck<ubwCBwe-uX8jZ&%rs;zERX;yHovi5GrgC#;_0LaF7io0m{oI;;J>}98
z&!9yvoPnXCo6^o|-Q8Voo)uT}-~gj$*qRw-(cj+O+-y|xBH-kF`~53cX;~IOo5IM<
zHsek7#0wu|o_y84y|egvR_-lX8JQ)OpPy|ieC$^F_0?3pvQtwuLFHXD=)#m3l`oGC
zuD5_z_TCaL^#0t_+dEY^dYi}VYim`5m-#Hx==$;N*Qqs;n|;hAC9FzTq@0@*=@NH8
zai)F!zM4-b)svEwmA`%ac4<pyaOC#9xq<g5=HA}cxqSKZvhXEdQ?-oJ&&hypEz;;p
z+I05!?L&tTrylE(eDwPDYExcsi8w>ckH`CDCxeEP*2V1HVsmRtrgA%<tWh=VpKot(
z8|B_IS-UxFna@m@(9oGCnL&#V>&V;HL{xo!rFwI7x_D^lQinz+PqS7J-+7$nCqV->
ze0+RSpmvc^uK4^1_x4tU`dXseVOM53UtJaI?d0rymd`^#LSjX1VQq26sS_tW3d_sQ
zZ^r%gy?F7WQSvb!P}@FaRfy;7`(GX$WCnG0Vs;j(Ui@KQ{_e!d$?C$n`~Po?-k#@~
zk+A~Q%E>+@A}+4}|IcUtMdh~q@^(6t)qE$_{r#2Mtn1?LetLfWKTZF6HlCkt;`dZ2
zw)4qO`uh61`tF<O<m>+^Zq2?f=I-vkapOiqD>=~k*WT*yr?zHa?`bpg|4|>rFE|l&
zU~tsdtfhPXIRE><QdGKCt@6<LbJ}L>;Qp4c%N|XtQsMa(xWIw&t@Vk^mxDh&KR^G)
z<Fj>g*G?HP{q0?`NBiN!hoEyfPVKAxJ?UzUxt(3yG`(1@UMbT_kB)YGUtHw6G;VK|
zTlr0);=jL2XWG^70#&G>`V7<@j@egZd2z;a|M{nOmA-xgYCUQOF9S7g&zSjpueRZr
zu~4Y}{Y|vKzJ6u!^1hm%Pp7NB-*#a?KevF_)`kX#n_IJ|AI+^5{-q8YRhv6^u1U^~
zfUxy(x!+WbEG!~;*qX1E9KCok5VV;pdV8MlmY;zc87snmsN7*%AG34Qnc3#&Q=~te
z=ib`l$<Q%*^5iX<m)*AI-=Fv7ML4L5wJLP=GA)1a?%geQCS8j>mU>Nn^85XM^H=jH
zfQF85d0H^+EPULy?cJrN-kxF#-QxPwqPAvr_V)H#SX+DF-j<tsd71C0PfxvfR(woa
z^bynvE_{5<bE1;#mgg237Zf6Q7A?KGW5o&$PA;xVudc4{KA0dNE-nrp;<&db^4whO
zbTd629UstX#c^?Qi!{0_s;f_bczF2fnVH7#Rs042KH$>Sd^69kRtt3b&nzP=D=V+h
z&(4B|VLXrNMQ!mAah-T=ZM1hm!G?9YCEa4WOTyMhr9D1;`0&z#hli4qlNWzA_3G&F
z?-$qC*9WyoPTu(X`g->I%ePzoXBwrJ_?ip-105T>_573Bh5d52LgM1$GYym5^z=-N
zIU*)4??`RE3p#VE_u7@M+2MCTg65jL8ozAFzi)SQd;a`)|2=L0X;(%?-C$*B2Q}rl
z-rw5tU;V3xPfE%Xoybit%lzhQy}rKQ|C4#kn#ad_r9pkX)As-WOun~rPk2N_z%K7s
ztNz{gn{TJ<+{PnlZ*LE3>8fgJX+{3-?CZN$*WuPLm%Hh0PEu2I^W;5?vb?fBZP~Kp
z^nCmMJragWCm)szyY<YpsoeB#iMA!Hhtr=fQSFl42g2R{65EWbzrDG%Io*G8V1rP%
zw}j&I$jxb>ZuerpFP%qK?`)K^C|Dq4TlHn`^O*rRrs~JX?fdy`wuori+NiCQd}bPT
z&Ye5=$M4^#FD>=n`aQO&&$ClVb<4#WKBed87^QYSIXCxqPR;JJx1eqaXyJd+r!9`n
zY#>D?g`mTExYmMan_pdBt<EcLcI9ZKmEn!>_*&I%+qN0i|Et+q@UTg59cZnF^};C7
zoGxhN(iF{LH_+nSPhVw>(|S%O_P*Q?I+18q`1*Cfb*)QYOxUq|x3uUP(BS0VTJIMU
z|G#~@aU%lMg%i<_ivgAF@^wEJ=G@<B8)<p;$dME4_y5z<4qM}~ss76CbMx)>A0O)l
z4}LH)Gf)0%J+0v5(!9I7F72=XpW+`hXO@ky_PahAOQq!FeOF~C-`<{o8g$=7Y=?ma
zPp989&&+OCj-@k?_sgG-um7vM|KG3GZ|?7p|88*nQeuqe*KK)swQ_H76HQM~H<aKB
zS{<evxg}$wP1P5TNcG*S-qS=}1D`bW+f6vw%r4#gV@gDg)5A@5f2(3AZ(s6AXx6^H
zwmn%%h2Oq?yA|7Fnte^8bXi?^rI=1cz_T+mmA}8c>s@wd_QqxFjMSgcxN-aT=|4X|
zyB_&7<4<SlwDR)u>uk~nqW=%`+h?5pbMMLP*V>`0!%U^kLG`V1RCRTAw(;EAUB5w<
z=D9n0;Nj)W%*5wUo~Sf7Hl{rWb>+)eTzq?byEiEN)cpJuv?0M!Ghji(#l;B+o75f)
z#q6tzEPHoHQ#*X!6}Qf+&mZ$YKRGE3Di>n**TsJSu|DI%f=1Bp6}Qtu?_{KS*g)Of
zoO^pBK~uAVBCc+|QmI>V|Nr}|8oe!N7o$8IpNz(;RbAcP-9LW(=-9h=?~PlxvV5m(
z&%dt++N?J>WxjnqXiPBWiqD$J&1r7;(?NGfIJI)UOft{Av*NC&e?>)QrDsaYk{&tR
zC>dGVQbTTWy(?X7TH4#&+s%F@fb+=f3k#b?G=p5q*JNE;q1d&^<Lau=)C&t7gO>S7
z28M=$j%B+&?b1BOy}uV+sK0Oj|4(z=-m1j2vrId>yDzVu{{Quav@BT$&;q)vmNvD&
zMEK?HuADu<HRGMgj0bmi7K7F;+`O^f+CaTzhq?G-4KBAnnVHWj?J7U9Twfn=E<JnB
zxt?WL)<%n$zP@&JbNcxWWpATe+S(RXe}DJl=4N%Rur(a6fdcaK`DXvVyu55t{ETOs
zUToL=`hSx5Yro6x*}M1RuF~uuzkbc?oo$@X=j7~safzq!j-5LfMs7~axVmcUwU3wQ
z6hA+gcym)K2QTl@FE1~HW-_j=jb2>(`da5Xvs%b<5U$hHbe+4!bRWEV)8p1Fwa|CA
z8EEO?tmivZPm8s*v?QFEp!nkYdihnMt3k7<i$TL(#~2SRaBTkY`Mmw&s;{p!;`UhF
z+LGCP-tIRKE4P@Bkr)H0b@u!F``NMe@9tPWIWzO}n_ubY=c(?pv$DGNr24~|nZ`5h
zYIoh-0a~)7q~x^y&$F|$SH$exbaRK#OrwV%A0OZKR8UY*BXZM{n-<d2(vyw%MbCP^
z)O-4c<^J-U3-j{w)Y2Dh-@4WJi*d>CZ@H71jcb0t-7aC2!cp|(L}Qnzw%V_l`(=NB
zm6p7@5%_vV?yCyTuBK_a(X)E&>;Ks_H8%_YomX8wty1t{6DzlXh{%$oGjFBm<gB^4
z3AD=e&5ey5TwF#!f2kUL{hjDJk6}adalXYizMvthNb&C<9y;s9@3XnMBY3&r!rI^8
z+)ne$TD540uUinlK2E~6%B11?=H~mmO1ZPIuRD5UWAfJA@9*#T|N8p+@V$F+(cjM7
z|5q?D5NPERJ(R!yFI#zeIcSGa=&F!|TQV<iD0>^F6Sak7x?b!hUNg|lFi4V-k@3UV
zuSc(~joz4d*XqnX+vwS`wU3YWe)#ms2-NF$ovs&~keuB7;6cKVU%!%0Ptyf022t~y
z)A9It|Khy6yW9-V&$kEd)tR8`Ew(0hcUbq!8yl5D3;E>h{}_f=>c#JqSs%C8s7q9E
zOa6Viz`#HW)2u1m&R2eZ_HcIozJoV5CKo<AA^79>Z|S%1-|zo_Y@Tg3s4ahXwmCCH
z+}^6zE>UeI4Gj)Z=9H}mjoN8k-BtFs3$*XZf4<$1ACLPdnr2@U`QHoLGxG7#(ayS!
z`8PKm&4|pZ+o2b~ucz$ot%olzE>^3bBmC`W8e`F$8-}0-eW2MalV@+4R7@+QqV6pH
zl5*hWNzS*owmR=Fdn+I*+4=PJbY&G47A4TK=)`}2er8-*Aqd(cVx9Q?<Hv(nRt6iE
zz6yDBf4@Aa=eQ<v^M@A~l{LDWKvPon|Ndx%ubU%wd2_n|mp3<qr5kljOhiCE+H-R(
zK})nWx{``S<}Y&X1})p0VUWngCuh?!VS)f?UK+&Z6479A4fNS}Y~8wbFD@<R-c|Cl
zX|{R3l8K4P!i5V#J?uGi=PuOXI&|pJhfhzvZ`{1O)av{dk+S<WpLzHFd?uZ{WNZHZ
zzhcU6Jq_#E>;L)lXOhg_6Zh}SbBpOXoS$b~`uf~F+wN9waW$(?0T&m!e!QK(e_{0Y
zJhkijx3+LD^`3rBx4fvxsib7f&HdF+Pl@i>z5DgF^z-v%&GYY>NPmAmzkZg^xzA5e
zw{O^Bu(@#m-*3`;_U^r`<L}MA+iR*;;@4MKUtC{5KQFeV#H6XY`Qh{D%cI35BsyMQ
zU7h^;+S*RB>&r@BU*p~X|DW|TpP7>$y??UQd-|f_<$fEsZgrig<mz*5)~|oRU#(tm
zQ2VO{w3-cc&&xNv>Thp4=hyw>1RX6NxNh3B%*@2?$;bIj^6$x9ym;}%9Lvoo|7vzM
zb#!ouXapR{_^H4D50h))hnwm1C3V+_t`=+Kkxbh1=GWKP8JCy!Ufgtcwz;yN9$$Rz
z*Qwv`efjpy?fJR68!J90F|4nj4;m8_0WEQzV^PSIdwZK}L4g6o1L$fDCnu*Z!oQ23
zp93wyaNAh@{hez{iVEmL*ItLPMJ}A6{xfJ*)Z^p*A73t?FLm_Iot?s<C9Y3SPTu;x
z<n%P%jn&`tK+9oPp1XYMk)Dl>jBA&OVb|?VsoWy2j{S1BTT-`e+m>;6m#LcXES617
z+4u4m_Gkt#^D(OUkkI|O{@>5^+<!evu3ex8vya`qYb%4*14Bb+ndNF3r=9T#Tz){x
zG|OX|&&-r-Ya)vt9qDv&pWzv>(1{f^dEYB-u68ricI~H}OG`Q>c-SNj5*pS-Z`Zpi
z>%`70rLt<3*UqA+OY-mUGfF!nF}Z(9%$|xs(6me|m*}OuTy=LJpPn_5n~!Bo`)O18
zNyX}2?IDifoyE_u9XtL0*4EWIx3*|r<P?tITcs*(mNP+2H>zXt;>Bj_rw%kSr@p_p
zxAPfj&`r{&V#AZu)BQzU1wqa6TU#<0&GpnhYpkT?Bz@K^P-Nrw?bBzOW}kX<bF=VV
z8N)=8waa{GXD!Z{suk)5x(>03W!vrT`QG>TRBpW<9UA)b!oub)xwpe)WMn{-ik;uK
za&d79NlQ!5v@BkBXGfv4bo~EkXJ=np>Mb4^8XC4PW@UHwwKX$;{P=NVb@=)c-`+!q
z4}%&9QNgRtBdrW)EG_1Un3cZVZ|;%HmxJZ(YF2bx7eDJsIW@(z>ifI3-PT1<I&R#)
zo&C2`#C77!%gaHtqDw)8k58VY6n)E8S69z<do`t~q-4s)#qQA}(HjyRKYsn{d$H%W
zl9HU9+@(dX-6HSLU%hI2vT~u%Mw9b4m7hG$&NA(FWAf<(&BJcrUOq|K{n^RM?%(&V
zj@!Env~y&id{a|X$>vgPOUq2-8g<aBLf6pHyZJ!@0TXWAyg9RXwn^rs6|1y%m%TNL
zva9`70-6;4_x{0y1=0==U$5UU78+XW8~gm++|_62elGKYOeNiQnfLkm`RlW4mzka4
z?yfCknl)v`DlK+?Ig=>6>}xuOMMXjruN$A*Z@F_#hsWh*z91VP=o~zFP;=J#PMzaS
zEkS1wA9j9rZf<trp6%PWPtgoki*%l}@8l(Uy@}W3Qyw4d^$zUWyLT^Wqt?;iUcU3D
ziIq>A$D{J>#6;z&*}tcBbah=)Gc}Rm@ywGK7gx6~e>bI}f#KvF%gq{Hi+)cud;an9
zaUmHQ9n<V<SJVQ0)`5D~&*#_cMQ%>>4T}Lavo=(Jc`;EZVuQn~u(hkUPBy#R`19W0
z>RZL08SQf|i_>0SSvh%~f0w4RTaSRWv~+HYR&{lCZv8W^>l-#0oSdZE4Qld(7Uis3
zbqdrwINZ)ZJ?G}8&fU9rpL9BXsq<h`Qqq&l{`R8H2NgiA=+MxmB`+^U8Ah&;vz>hS
zJ9s7O?z_9oy&oQGEj_%qs=9i%Y~ZS_tE<x7rM<o0-Pw8eT*Q14c6Rok|9-y*uPI&g
z)z+(1CvsCnNCtQ<>D;}0Yd6JR-c|bA>*uGZTlaBq&$|nnhz51W^KK^|Zu4B|)Y>y`
zsz#tw)z??4Th=5TY<l$a<;w2)rrFa#<LNFgo6^tgfv&cQdjI~tK3lV+dBv$kuH8Mq
zWGkzxP95nK?%lRBX6GggYwOp)_UXp#2rx=NrxO<!XH@jWV{vKf>1m?o=H_=7XnuZv
ze)^io&C9Gn-SPi_-`9iYu5<5hPCpOoW7X8wKFtM<kMrC8aM(WQk{oD!05slnc9yAb
zUwJ{nh7}DPzqEV1sN~<<6LtK;lTV*M8Ch#*CqY){E>&lKe`{^@_Mk0)KR-YJ^!faH
zGfS<&puGG0bT2RW_b-eAl`65j&0Gyvp1geN(7R`6XB(xS644A@6|(5ItBcEwIhEF$
z;(9R?JSVGpK0h~iY4UN<vVk8e>^&C6&w4=98P_?tg2o2;6#u@tX)I}9w`Yo8Y!qms
z^WZ^8uPGXe$;bPAOWF#(pM#dXT@fo&_nR|es&@FP^Y;IB>i>LnUt~GYy4=sk)>c(T
zMdjrF-`g%Oc0b)NUpM2$AI)bWYa#;ON)BAx2U`o!BQf#O4!2$@&*^%xK{Db30t%q>
zA`0g$1$D+jcgy%)^0h2@&;Xj&_ntQ8++6GK<;$0^SfvHpRFHQYbi?^<v)rC(pj#T}
z%$=M1_t#e;K|#g)b-&kYbSZ)EJ3P8Q_jXve?1Sge)vvA!y?o8K;)BDSxpSX_E@M90
zD{Fo2#Ua<tX=j%dJUn!3j%@n5IfBgx70%8wy?hjOxlfn4zMiag*%X_~PZ`CN-rU^m
zF5)_oPuA*15@<KV+iERvqv!9J%l?Zr)~C;l-;~m6l5xQyB-AwWz_m4z!LP2ZT^;S0
z*>AisxC?ac-HZQ*hK4V$t`@hkvAM7|+Wg7s>F1xES(^Wiu_CyYOEh48oNbS!v6^dT
z$(tL37cX9n*qRmE^{C;x@!q@}8yMU9<;|?6-`p0{i|NR`yzF7W{Xd6iXJ)RQ^t^$Q
z8MKig@%g#Anq8o!JvKHr8wwsCa@p>^#(14(*P@KKg)jFj+u6x|e}BKdz1@9Mt;eN9
zhuirJUtUr@a{M@`kNDxkhl=OFx42||>gnkL?Rc@Vv6*C=UFkJdE0l|0&c>ml!eY+c
zxf9Lv<L;J+IxT;`J@?KI!Q|t8tsM)zr|YHdpM3w_4DLPetS>Ke<z5rF*XrUy#(QPY
z&&gg{7c0Fsdb`{AcXxfiEjE1m>FMc=o10WmP1o;#cX#*WW_~+^nX6~dj-K_T^536I
zP;U!#TGZFA9%tHkr9V8K9{=dU!RAiB7)FNGVQUY8+PObJrGmCGzFxooT4~n3&FTE0
z-46>EC@en6Fwds4>C{y1$9HxXGsJyQ){NMo@bAxO{~fz_W!<)|`5_=*^MMhx-F{>8
z@ubVkd_k?ztn2G~PfgWMzP!x$$LI6*f>KheURQ$_2ZFYrWM5mu$nfXu^?1-344^KP
zkgC^%^Y;IbY)(I4@Z&?`6#e*n8rM#r=DxZ*{CJ0;a=<blNzl9lXa(ch+2)Dq>Ftx%
z{iVL{?dt74$}V5i09vASZB69LQ=cCkZ2s{1vva4ADyUKM=H6au^Za{9zP-I2xH?RC
z@r|IRUJFxBPKt^@c5iR><97MF3%^)PUtDl}Z9n<JpP!#WYk(6H6so?yn)<?U*_C8Q
zC(UK6R=rbEdzhQ@>WSMV3D)fU`)V^TFXJ`Ky|v``rs~Vh?EF3d{(pFQIOTuA+SuLK
zG9qhgY}EYc^~{(dQS$E2%_sa{j`d0ht_smyoT{j(xTEs3TGZC8R3o=Qk+p~Csa7rv
zEu4O5a^sVE7JDmW?%VWf+Aa(gVg3H@?q%8jCmEpD$6|q*x8oBM6hPMyJler4Z5A;n
zJ&SAi_WR5yLCa8;-TM|eHnX|SO<ufc(S_aR`D<c!3ayXZ>vU~Rq+!~b86tmo#O*9%
z&AztAv7*AFOH8+`?Cq_Cpj8-_%Z{9#Z7wJ$$Csa<f46hFrGEUrBk%YBUsq~jdNt5)
z?M&@A^K7fzet&<joPKVOTeB3yfkm#}0zyKI_Re!|=W}i45-q9Uopp89$zR|r%(m-n
zJim33MrWP6dCm<1as9X>t=!@PdnyVi-w)@U-*3Ki#|{NMJ30NhJq!#M78Wyly1TlJ
zW@jgz|Nb@xv?uV;I{*2076lI&4jnoausTe4^ZoyzVVL>OMMsYuNqBl{>W-qPTsF40
zpq1!%)89QgIT^I#J!)$ftG>QI!vWCl&BQ}2Hg$g_`uh4LY$`UqJ9KZNvU|YJqSQY>
z9{0O72g+ELaDa~L`evDNLE*}p$jcgK_xIJlxVzhY-|u(Upp}cD&1;}bWI>|_pgoV~
zU6vIe6qfnT?Rt2)eR0rIua)PFO^?R9xUj5?+Y8!DF`3!z&hB#l?Rj^dE-rGNs2Qvl
z+}?IcfLp+8Bj_H?MLSxAi-Vo*=UJEYB_<|<SA5G)3SAwxbj1fx0deu=qQ3cg^RGnP
zKXkWJz4xck-*?{0Uf&zjCr_T7SDTZgla!RiFvDKbqV`wGr1PKyYC-FK{pQ(#>S+nl
zrnOO9y{=`K{QFZm$F4TY`eo(sia-0m?XzCfxu*8_JkO?vhK{Zqy-ZqWF5%%Zq7l~X
zntGG;SHD<w;MP%5M((n`*V;s<GH`WutdkYF-o(3RfzpXZK`g9OmmT>0_u%YGPR`61
z@AmE2|6Y1lzBuijrT-+)qIs6jcfNn6uy0$$M(?{VpsUQhjz-4B^sHI4re4R-p{!~B
z3#s7cen)R^P6thiajx6E*|<;6mdn`K7__AnG`pCVrq(BG&Bo5o{%%i014GX3ZM=qt
zhC)Kq)6dU43d-$4L5J>UKYR8JwCAd)r)R><nVsq9=N&wC%FD^?+v(~0A3lGcERnH3
zVq=px%i~9n3f|qZJTuGGd(nRL{CfwE9%Zfn_f!3Q+>YJ5lMlD?GH6Zd=##N*Dt&#;
z^TVV`lR&3`aJ~$2cXw}TYim0He6{TJ&FSZ_c)bBF^aO48y1F`C=<nK?okI8S-Aj;Q
zD}8;<H7`%Eq@<+a@2{`xXBmK2*slBx8mYUw>`ZxUqQsIVOFXvt&NA^_`8#Y)k;<_y
zQSB*@Iz{`kq?YgMoNIJHvy%T-ilU+-qobqaoxf}O>}r3h6!uS@I#p3!o&DIcV@C1m
zfq{Zt+}wfN^X}#w6))HMx3+NF)Ts~8%rus;DtU4L+VlVGFQ_O;{dsF(Xc(BCU|;*I
zWb3s4it6ger>1IaeKs;S-l=Z3>cN3V=B(o@^NPfUg%^j-4`pYbTKNB8?T;Tn6pW07
zN?%=R+`Ze{#>Pfv8l#3&Qj$_lZLOe~7+Y*?EU3R1u{o_bXui9f8{4(D(d{iQEFXT>
z)cpGsxzbKqS^44P$A@)UE55y%>Eu^fXvoCG1RAhONlROle}7*`XJ?@Gxh-2vTKBvX
zvQB;1xM-0QsNm(~<V=uY1C3hT-&eb__IKI4IbXh%Y{|IDWLy31$W-m{1J6HCoIbt%
z{l4FPy3yOFL|ik^xS${~@yLO#Yu50bon`7A7bj<yfA7r8*S~-LI&}Cjv$R=GLwh^B
zlateqr{YOx=30y2-j>_EaG@gTSQ>Tzc@I86Kfj~or4VRN9JH5HPtVWGZF~Iwx{kg+
zxBL5QFRqO?kJ(cp2%43>x3}7`@>7b1rKO^!rDXa0ds82jzP%;-@#9A!IVMm_Y~z)F
z@bcx#vN^_SX9Bc0zP`Aa{mhv&0wN+u3hiosFeE1@OGrzDB0zwvbw}xIF*ZJ#4##FT
zMHLm7htJm?{BIYxucq_CgM<zjB^5QbRdcp5i1JTAH^-8BqDRY$6&gD?UD`BZ^5o_V
z7XqeEm#qEysr9o(P?=|8TAG@Zv$LX5XTk4pZ}+SEIedNc?$_7XcV3@5dp7i^@kIyT
zKfYVlr2fdatzElzN=;m<i@UqG$lS~i@7-!@Y%DD-1Ws=PUAq10<Hv=6{?tre2U-DK
zR92>DH{bu)uU}hIP70kmc`~qT_RN`{^XAQ4vU;_5joo}T-&ro86A&xa{pKiWYilP(
zPCIkvjD~?hK%!t?VWDB}%}uRR=6OCkrzfplo4a+DOT6~EmKK(xl9DI)?u%-N1;oY8
z3#t_p7r%UMZL}q4g0!^su9}}ll2TG$nqS`B*w`E~ZEDe;Z(qMoE#k<(wPocL<<CpK
zr*|YufDTx8**$r(@N=!4%uLVV<$hBw=FOe!Ya`cxYkU6rlcD=-eom4y%{n6ba`x=m
zliS<dS@bnEJA>B?J^uXsd`e~}=)_8;MO>x}TDir&KD@iT+nwj|g&l>DRc`(M^3oY}
zPf6gMx3{;0rg%I*9JzGl+O=yjhHrj<e}D4Il_|oH4b04zZOy*!^})%>sUuMWbgY2O
z?&ZtXO*1dGtc%&{6uvIz;jN>;yUck1{XKE=B<OOUf>U{0v#u^;WM;dtE%$avQRV)s
zuUb2I?hM>p^|d2WVpa5Zy`4LDXdKnm&`_A@;o{uJqo}K^J5_`Uv=-X_{~u#XNlC%O
z211v1Z2Iu=u{#$J59lCp;rZvE%Us!CI%nm|m0Pl|YHixEA;2s4!^z3&Po6$?by_%~
zc&5B*mWZrPMZilt(*SuXWhdUOp3~FylW%RwyefD8+_`DLReoMu8(nn0YJdHIx%2bw
z-M_!Pt9om>&&(#!X)5mha#!QZudj=}vA=%*m5pI*qY_U~)4h6)4KyZH{QTV18T+1p
ztgxv0QLweO+r3YwarNreS0+!MbtE%Aon2pFA5@1L?KCtr1hub9O18M{UcX-7tw*Af
zPuA+h6Wh8!636>w4}W@kdgr#57M3*;8<_$F0}V_}j&zA?KX~_UUC_b36~~lqZ01DY
zwyytIv-H}>^wiXY_wUPt4se>T9}n8_q!Yc(XCZS%N{R}oaFUnj4-O8Nu_#~wO;1_p
z#s>u*vV5ABl5*hKF*Zd-MK8-!tEJPOoS15AY6?C*@dWMKyLa#2hYueDUi}Rf$*-*3
zIVEy#g=BE(<lW1BXFqy;yk98S($X^H;-XfU+pXN<2Ml;X)2kQn?Jm#Hi><Ay+SL-N
z9`Nz5roR61KR-VwW@K<MfX*fZwdX*)6dP_GOPD!xX3(>y^z-vr4;#!d$(-b}ySbUU
zyneOx^Viqcg9ffO<qjJZl$W#5kN+s1m66fGDXdoT`oDeMAC1s*QE6%Jw!|gVY$GEg
z9=yH1{m!KYixw$mWM*o{Xt_*%WzohX$<&qz^2>(`o0&(Sh93NL{La_)`~NX9oO=_v
zXFbPs{dhKp9(j8?p2H6=EOhqzcx1C@TwGj2q}aZF`@D{7#T{CmHAg>w9}B~~-AZNc
z;Vh|j+)oy+Siv!I;zWT?mpPpCf7mN%Xn36JS#JeuDJf0lP*haBlPzaiq>^@SPN!Y%
zuM?tyAph?yey$+Y2^wrZbjWGOtXWC#?(F>Wa{2rx-+n(h$h_|U_4V<Gj~rnEZKd0g
zcsS*s{M2dFK>Pn1JX8*?3|<}(6VuZtYklbYb@9V(yw0Gq%yZ7pojWb6zG%2834%`3
zX>@4VSNl8Z+L}nCo%#3nJnSiZe}6x}tgNhvsA%HTQ&VS{=g$i{JB{tW!2c4qB?tf8
zNwh6|@ZdpK|N5AnlU`j}8T__zTIy3T-?p~4Q#F$g8uUcjr0!5uR1Au7m6_<_Vk7rH
zzxQ+Y9`o<-?k;|KxLx?LK}t%B%f5a4w9Z%9)cu(;XU?3C<BumcHZtnQ?wV3mTs-wr
zT1v`<-Mg({zIrvuL1BSr@Ujct;`$<=l$4ZKcu&_mvPoy=?AezWI=72>oduP3&(6+X
z8MxT(hyl;dn>Pb<a^9Ht8r#{;YvY&q(>cBB&%dt6qUS4a+`M_R=GEP$-r}<?3YE6U
zM@4z5si~zTCMuS`YvYw(;W=4NDEI7a^W|4phkI}N`{6J@=vHja!`nbBLmL|z1w(&a
z2{9EFmd^k8^?JO}+o`^nub8q0Uw3x6Yr)IIlkxoAT%qH!v9X=0k*Cg_nexj2O!n<<
zYp3L7?Jj$}B5<)=i0JL@`OANOeeFH7D=ghg>vYQ&_kOuAf4|=^Ha2=x>nbf+=-=h-
z<)!jXG<Q=)*S7U%gU$U?&!tPWRoKk)`unlM#;W?8POrTEyf0tBb{>CxvETlmNA<Ti
zpbgX)KR-X;nJ57|FX>8cfaJ@UFSq2~wR&}Dr}0J|Z(eD$B{w&x7rRaC`eB}TXTi<Q
z>615ZG<+_4WYd}{o$;YdmM*<G%QPEwpm5CobLY+-*_5-j_SmswmwF_PcSO$2ySwY+
zpP!%iXU=JDZ50s`a&m6xQ`Obgy>#i)qI-L*g->r15ff7@t*fiEdwY9(|C={&c0~T%
zn0y>`1I&w)lhwVBt~z+VJ&nzUd27Lk2acUvUulQ0o1*!1*7WJ^?EG>kYL(o%PEGLg
z@|rU3)Y=~N{Cf`W?#pjI{xnbT-oDz|)mp1~o*!=Kw<v!%$0hO2eZlmiBBL)~zlOg1
ze0O*Gg-e$XeRz1d@YNMfP}jPyuCAcGe7Z(PNQ=7vJkZL*<9)KuZ*Oe{joE{ir+J;N
zNJ&dObpO75^|v<%L4{r2p9-DmZ9Gm31N8Kjl$iGI+Xvby2x?$RNOWvWK7MNMM-4qa
z(BUQ<>;6`OG@m=i=iVpd`2ODB{gHD%e*Ac+r+tS<<W0$?j~*rE9aA<o7T&gP8wW4%
zTC;nd!s<x}n^-fhuajM~cCDgN=Y+X)b%Racyt=yDz}$R##^z0%4m~{F{_x#9zS!7U
z&=hWAVc`bQz;<NiuP>TX=6O5}0$i;g9v%}c<b;Kr#dM<<L~c$KdOP2)_R%|TV`F0%
zclYA#-Q8VX1wTKfMnpz>ic~X;zOO&r#>>b6YVoC{sNA`Gmoel_-?3xI4&AyH^=hB5
zzyI?oc~^Qjm%hFR>IR!@2Zx2Vy?BwaCHMBUZqJ_b_xB2o_A#^Z9QgP5w_(;5jV~`Q
zGPm=|It2v@fr_S8JF36yMQzK`Gz|_djhD;2w@0%)Uhdob`}}Q*JI+V$S<hi+X2x*9
z*3i$_H+0qhRmQnbpFZ{a$i&QiwJTU>rgmTOw5%CA9j{*<*&K6vx_<bo{Rf-boi#*~
zzP`FDVOzE3NNrH)$w0B3++5Hh01^@spo0@ZEzY@fWh16d6^LBXwcLNclZp^%7nr7|
zX2#uJrgi^*rtjFXV?o&3C{V!u%Ig#q5MY?-(E>VP$ZxKdgkchkS^hm9YisKzOO`x1
zF;O{aj;i;xg3U&6Z*6UEZ)cw~cWz=<Ru^dY_3^RZcw4`ZIww1Y)dM0TIHaYebMEhx
zRd(-l$;;C_bM|cNKmLw-_BI~LrUwra{(QOYf8p9SHin(=SF+s~o5kY7yfq*qqGNmh
z{i5IU_H|Q!Ju>ELzO^;`@Y%DzNh|pS3}4iJeI>em{-jAwpw(qxCr_W=zPI{&QFF_Q
z6CRwANAK<~fBfiZw^60Ie%zD^+wbfu)!y#XlqgYAQE}k(Y45Jt^XK>P*<-U~*RDgy
zkGDrF9WdZI)+^m!`1sh#8vl+C=?_;`{7NV9zHuWWFOr2p#=cJG<jIppm7pYhyiZn8
zRFt(Xal!ia{mSlrC;lv6$+N7>CiQrqEF;6TY12M@`O-3R;>1G-&reWv2AvjaTm5ap
znl(JaYCa9qr%!jvtu3_Ym$z%#xzlpHjNeSh#sCeMvNAIrUEPhv&;9Zg^z$7OQc{+b
z%`x?S1KPaz_4RdSZEfzdvN8^CZs+xJd!H16j+Ou&IdO85>YS|b`}=AQ>;Khse!g`1
za^bTxl51ji1}(aK`?mDm-R17H&2lfS3|2pK^k`$phKi3#EBE=$v1pX9`@!hY`sBm0
zUg?X={pBN~qd{kbd3bvtKGe#+w8A|9-jiu7&(1RCo~-73=*&#x#N6E84I2!eJbmhU
zBDV`PB$)T}*q+MI1~oqlc;swmd=}8q(K)gva`Tdk^z-vvr|ZRLi7emM30hLsCamsv
z;MOfE8#(@^OP7L{kX(76keCQMG7dEBxbpSi*cH1<*1p=eX~nFFn%tVT7E^uSteUrc
zjen?v14B@7aN&msjy3=ONS-@)F6PiWo+C`G`~Uy5X5*Jzvt>s|Yb&ddkI#cgkC@ce
z)jR)-xHi9;X`Jq)A@b<P#^fM=*;TLW-`?6Pz|{)s*J(zs^PKZat^DZGqo7f}7AM81
ztyxD^<)!{?zOW)8Ga#9x)oJQpv6`Bi2ag{w{&0Nizs=_=e}8*hP+WX?mTC5muMb*V
zTQ6L?^k`l{r=njCbZ)$`xoN@#0Ty<4<`oh7d6}7=YQD2VPR}*X7F!pyv&sJ74`!DZ
zS?jU|_5c3``S)uVyY)ygPD{-ed46uL^~U7md<>$m>t~zgYAv-1ow>W_XOV=obn*L@
zKX&X{zpb^E_1oLq?XKNoE7!~m{mHpVhqpfRZ`b3MTKTv4)mATM`*NoK%b%lvU%q&u
zVXA%X&+&4H$n}k<R%FiMIlQ3q^E0or0ik|xj>LF-d$)GB&(QW;^Zw4x!!IA74l3~W
z^E>wU_jge2YhK=adb<AM^XL07e~I6a!1(6vTh()&ot+22yu7@z^mQ1Iq!9}%D=TPZ
zY56f%7tnxV-rZfQA9ocO7w^ojs;<6%Lc&LupRx4upHEM@-FhSrUR~ZHy!-R>^WHp{
zE?vG1Difw^hl2`n2CcO8Z}0A&-a9{dnNQ=!jT>F&Y|pz3F20{V3wtY^T$v!j_WRpg
z=d!YGr(zg_K4t_IPnkYl*~&`F(a{mKyxP%`an0Jb4`03F^7i(Qh>ljav5`@B>zQ!!
z{+3MPrsifrd3pZi<m4VnV>UlOzYW{A9qSg?Pe@Bso4kJQTHa}?iTU~b;^N{rZr@%U
zwl<1EVLCg*-QDHK=USIv*pTSlBWEk6r>FPg=H}%w?`9Y#@330M$jk;Bh5@zv-rm}}
zKXOj5w7FYan%b_iw_M`l;+;?Y<jgfSIUOAxIr#Y8qN1dtw&(GRi;M5rvBN<@;KbYD
z=6rTvrbP$so7(y1A02FFS5WeqVbEAD6ean{aoY{)C0Y^FTmu3oc;#(Nx^e4P(#=h&
zSH;RtA9`|f^22A(!g38OOILW#S*22*bhkvQY2!x2vbVQXLmkfiId1$U+m<otTK)nf
z&~2Ps^xGvssbT6@sTDoU?0f~CGqpZ^`xa*Hm%5it%X!X?m8&Y(_w_tq?B2ghR3kui
z>C&Yg9UTwYZt?N)1%1EX%+6o%@DOW{jAfA0#Ng|o2yL8oBy#c*Kgo`{H$wNOANf9e
z)jh+cDO0CvhO+3bj!&I#6#5i&N84Ac)lz%3P6wA|Mug7O^8c#6c+(BX!a~FFj=Fbu
zET>GH#>DXK%uLYX2_Ci#t9y<daaqS<V`?gTcD8x@+O@iTvQ{l0J``A3S$WNwKYxDz
zh7ATRtgH`TU0r?Q^5w%H9v*)9>Q&b?-RMJy4mrJ3u(q_6Z0DDE^YGx9G<ovHJ(a~4
z*4B@Azu)&*=K1O(`?^0JA3hYYu(K<xsj=O<bqlls8kAgKzU<tv!9df`_tBcnBKDAu
z;tm(3miG3?cXyYAng+hUN7u#f2Cak&KYjVZYv;)g86QFe!ou1%Y%n--<cNZ`we-Gy
z`(E7GsQl^kXHe<)<<(X1tg~Ar7#SIVd^|3{^h&NtfP7|VX2yjD2gA$PsF|LTH2qQj
z;Ogq|IloRHZs)&xX{Wxv{_&rmp9_kJs5~rOsB>?Bef-;B?_MofXBgpY!*ZolIKXz}
z?%LmGE=q!Za<*OO`S(`bnJ=-s>}}BNYRlwfJX?M4Nwhh>zqj}5tIe+6Vp$)reDp|?
zU^_d@G+6tg;Og|1r&hnK{`&5&bxT{Dl7$869KYvjmhHUKYN?wdM6a)lo%~@%#<ew)
zZT#|mpv4_#W@bU9Q7>P<1SQ*o0s}d_8V*}qTM-eF1Lx24gKqF!@kK;jynVp}1sU5a
zk^KAnSPvT%6crtMb93{>&FTI#->18|v0YEEsj+F`5<RXNybQF)%qUwcTPWRklJ$fA
zt707;9W6><iFkQ=U04;W4cf=x+|KtjYmUi}wja{m_e_7-cYS|<Ke%7cwj)vE()H`=
z(^6kvTI%f*vhdjDC7!}jn^HQ1u2+43C#$Ne8km^4@Y3J=I|`e_*2nqE$;o|rbJJL9
z)divb)!)}mG4e}&^8ESbS*F<;2O1bb11W`tg)S~rX3zGPHqTq~{QP|H!b_JfWgP2~
zOv%ghYinzpqjd51_I%K_G$rrv?OiXIo|&oH+R}32%gf6r4<2lkv#D@!ajC2XO|uzl
zn$9~_@%5D`D?9t;X}ZxGwzhM3$K~a%bL#IorJ<?0u%Us$$k;e|R<P*Pr%!|CiQJcx
zx2p;0o<3>Pr>V*l`#*j9lwWjr&mNmwo74Gk-nb#qe_VN5>dNTtc~2fcUVN!E@7^BI
z;%8?Tw(&{}9X439cI{e|?K^hN=##VcI^53x{K}ds2e)Ql&$zZG^2!27=B0ZXvK}ce
z$eR-?+AZ?%=jZ2Jl8$m2nVYLmOZ8L`$f%k0ueIXmr=?M|jXZpPRqgHVvu<x&>-GJ`
zbp3b@Ev>FObLM!2hfkMio4DG*)1~D9zuKq`35=%M*Lr^U%NZuIu(Gjfy;;9y%M`!)
zcD~8S`&4ahZIdFWNtt9gfY$1t_V)2vvebL}qyP<-wnPsFfeF36XU)5f&CRE8%fIip
zx9aPoE2q}1S(9<JOO$J;i|Bu0c0L)<Ss{h{Cri~-X9x-KX7xxKr%jkQPj0S#{k(ho
zYQ1?57jSY2PTalQy7b+h$akja=2#y7+ZgVb0Ftz=`m$if3Jpy^PfyPD7i#}53V!bD
z>RJ)Ew`xn#Q?HqSmo8r(ygF<x$R(|<tt``59MZ^rcW0;2oa6oSlP69Tl$4UXbfA%W
zsYUFrl7*VV%WAG#T=ji->h$T8moHCdVQLJSUs+kXWc_;o+2;Ar9&vMXE7#Z8b8&Di
zxV}EV_`0Ts#)7Tc*NZl7UAAnQ(c>xYr%rZT*}r*yZf<a8!?dYWUA?F2C^|bkPp$a=
z{=T}nxVR7pi`K`EE8Uxyb;bq-34!hmcs1+c!-r2^yzsbn>(-s;?;k!?{CHFA(B<X+
znLj^0P07mg(m5UU_t)3VLoJ*la&mg+iE68M{MU=w0SfO$R;8~54jZK8<miZIhptHG
z2@4BztN-({{fNTJJ9p+hJ3oK@g%$pHEkb?YY}&Lb<Mp+*SN2wyzcXJ~|NozejEqjA
zQ)Ebpi*eeS2}V=bbghlvK56!BX>~zuH&E(5e16UxnWd_mOn-cv@cn|9+>x|;W;ULH
zS;E4?&cVz5mhLKjz3NYNOhAA`JHPxg$7Z&|qRXcoa^^+sulu`S)vt82wPD=;I^Wr5
zxj{3RH@*T5>R*xIl{S0AcF@w&GKllUx3{;S+AXy#e#Y~$!sgYrwbHt=yF$9`GcG6;
z6%<T(q#Lti0t*u(D+|ko&FSZtROIF5fv$==`R4M?n=?TPu3z4MT65b|1qKF@Ii4<#
zAu~;MV|E0baz1$P-n^)-S*|y4-ZZj2JxzDA<%BihhF$jcb*j@+K{wEpe0=1pdGAQ4
z@XL1jI&fTeHbxZ3hlfwsi`xUb$^6Qe%-|%6wyG~L93MV>Xf*!{J1cA8^>wi)FI<?=
z;-m<2+vmO;JB!tyCno0Q`7tsw3f;NAJwG@jLu0OWd0$somr9?kWl_tTHES%6#~Xq|
z|L?D_Po6z<^PZ-&(7OCx!ST4gRj$VA=Tu~6Ws@Y_loTtzyb%2R>9oEHC;$oz7d}4T
zUwr)Cy}jPe?EKGSx>oZ!T<rv<o3b*qyL&1pgEm8y>geh9$;irf9)DbT^3qc8=^3Y{
zXr^Rjc<7u4T~v~Bdt2_8=kx2e))vp7IMH#odH%AzySobasXlrVDfw@%b@_?QmnT=p
z>YSdmdbM`!{<^)lBIjLSAAh-xSK7jV`mL?m!lyTFsrs6=lCdmx#cNQZvP!LNzFqAi
z=XSn}2O60@6$B>q_3`yenRc1w-U@m99Ml|K6}ozwQ~k^*Pf|dvmg!zjPD~$v)<kVi
z>y3Fg%QV|VLEyq-_x>H*Hf=Hj2|BUAXlCc1w12<-ce$repMuQIyt*p1s8Tz8-4al$
zGM<!wZ_h%r+*=nmrJjEBY0sWLD{^mdyQ8yySK&34joh4^3okGCKmByBRcV)#v-8t=
zpYxqOJv)!QpTFwFxpQGNmA|bBWHs##zWc<lc|ZFs7MErz=jiC!#y=-bZOFN~sWt2R
zx>()))!*NJIm~Y#P+7V2jN`WX^W{zR@5OXoUlVDZH_a(*fAsderJx<)Z!VuW(edZc
zpH)xa-P+py<?B~f3(!16-QQnXmb=T}tHs9NT`#qK*U7mnS8AI3>UD1~eC%dqX12_8
zvYO!h^UIHRi(h_ud3omTZMi8qIX-Knwkk0*GrzjId3lRvRA@^}i@;%nC5sn3%UYK$
zsrvd#@bo5=;%7cZWo2q@i7$S?-@m-0gQK%CHZD#sT}JhukB^Uro!vYkVd0afPIX00
z1D!Q=v5i-HN27OAlG1h+_c;b1D{QzpITv2I5OC@8Wo5hh{(gRbLY*gjrOkINaoMv`
z$2)pk&O%;kGf<u5?Cc!1B|~s;<>zI`Kq0HGr?;%|@v%bxYmw8Io||hOoRy`OnwD0y
ztZi%d^<_6Vrw4m^ae<}|BBm`}7rXn?uF}^kXTDCFJXustp|P>?%KrNLM;|MeEMM-P
ze7tYziWM5a{`}nR^m&W8e%yrh>-D#0UT&+_e|CPpzk9#j+G)$z8Ab#J3H|+cJO9eA
z(rmrL&!0Yl4)Ls=Y|(ke`^}uWb61wVy|rZNQdj3To`r|o`HMHZeX{G1+gmkp_3G7U
zELJ6fwwmYWo_*^-*J|pSvu8zTf#wwhZ*R-ZytO4W=5`}9d&lv|7w_&ae_HhZ&Q50=
zxqd!bD;F2h&enbV_8nr(3=0#Jl#nRs1g+Xy;n>W^m43;t=7+<vW5>2se0(HzbY)&r
z`JW$!Ns-ge&9~Q|4%$JQ6gf>vS$Sph@jk8GxmKl<c3gXTd3or)f1FRAJzKTsZ}1G`
z^ggfXt5^A@YNRu2986Xif+p`km!ekx`SbJhh7B85eEV^@oquEEVKxIE<;^?R1}=6x
zaq85htn=s2J*&}3X*~XT;f4(X&o(Yvq_i{36g1Y6rLC_&J^ISuZ*Qah{61tKojHHL
z{`C*<PEXg5`52qJWchOMm0h83Z*Oh=`0y}0XiM*8b^l|a?rE}`nwo@dl?kZ-wj@6_
z@%6Q}2BxO2IXOB$K0X$U_cb&yym<XOe6`1>nx92~em<XHP*mjf{@&h+vu1V4T9+kU
zTH<-)+_|=G+swYbzu&(x`MB2!@&Dg$=l}TfQn>8Rje{R;Y;7MteAxKsPYr0m=EL{z
z&ue6keE9mcb=x*GB_$<`drwYI-dOXqNJLch;r00X*6GuyPr0*kS7B9UrJ|{+D7U!Y
zlZt)&_RX-XwJItqy0EXdnuV41WXP?^y;Y_zN`m|T|EvD<;V{34ukX>1kB=J`K5|J(
zPghn}W(FPMH^;Kr;_x2O$fkx!(x)dUL8Dx!KCPOp?%x)m@x*7BmUQwd?FVmfZdT8`
zyQ}rr*VoBcRs`PIU9SIJP|5#td~C8osV&Qu-p!epmz_9q!U1&FdCAKl3v27*c`lzS
zKvP5k8b|*9{T&(<T=nCF;;}y2)mL`zt@`Q|5+br)URJiZ@bNKC9j)|8vE*Yt2Ol18
z-)T0{gQdE<IwCUi<kPaZw?si*#DoNeWBu~|9UUAN*4Ek~|BTGc+Pb^B`(&-#mU>Tr
z^yTH{g2KYU7rl$uujdaB4|j2OO*}ixH0yZfmluJczSpbrg<7B_6u8(;QALGibNcyX
zjm+$zZ2|xO{yzQm>-+oiWo2ccGxU0TdZuVqoj-Ht$mQk!OV7z#m8@`*EPb&5zIR(<
zKvdMKNj&>zsDE2^>H78X$hYqwAMe*H&XNMHwGDZ8Z-2e~?QOZiziJGRTzV!|V-0DR
zWnNyEcyW>IhK(B^rsPVtIeL0>*3{M(etQ%7=HA}jQTzJ(_`15fR@u&*HA^da;<Cui
zX&zo)tEQE|y|p!K>Q)^c9RX?SZb{>`6E<~^j&Pnk;=`k@tqoervFv4JW~Qc-vvaCf
z$u-cxnsst=@{;At!%y$7{;oI6Jil+s6p@uPj{Xi_<`ZZ!qw>oO!99ET?qpo*pm5;Q
zQt!eqF9LO<x2=h?JTh6`Kk3X2Lk>>PhqrWebPP&gg?xE)Q~3G$`O_!FiYl9#i5aJ#
zdtztK&CUJcXAO^>jfAke-;qXU_LOhp;^OV`bw62|+4)!)w&dTJn{AfsG~cfF!|V0?
zlkV;+jW<0vOQme#!i5qB2@L1v*`D4CTD%6@YTeq(I%(3RB`Vqe^X+&idbAwv7C(IW
zF!Q!;+dy#{b$y?6J0GZS7t@Jour7ah;OJ4;SO2EB?$}|$(dv|QYYXSMZ{LFA%&$7e
zCL1(5G<<)5Us+d|_vOo%FRrYdd}hi2Y*5K#UjMJArLFDIxpRDCVqyiQrLB`EPd>!>
z;raRbqFN%I3zsf!JwM;R`1ktw{nLJLSY!kmJ6^b}^!+{CRxh8V8#itg?9=x2^z@po
z5fvHfs3OF;!sDKejm?xtTl4SBF)}imb_L%(0y<}5S>#e3(4nxeudSW@bHf@VBV*%@
zWpATcSXdg4KTiDf<D<~=^K&d0Z&*KPj!e#-9fF*koOj-zXlCc1;>FR`-92&YRMo<F
zCnhRSeWa$M0y?ZOLBdTly+Y~G$;s*yCrmi7^(rWacYpd+)H>(H36CE?ekdp^Ixar(
zv;5)wc}*7|)XP78`qU)%mPsD3&0&L-q@+Wl4!d{mJo(hx!Xn`Lxw$LXtnta(dExf<
z{FRA^+f3^IRA}D&^z^i+zkmO_`2FWTE?T^}b48M+NdNK2(|kgYK0MssnHu@&`}gJI
z`f&n>4N4v!Vy*i3$Ff)2yf0!J=)P-C(C%SJoztMEZ|uIBnc#`Hgk1#>nQq>?B{cv1
z^vEw!lP%2i@A*VUMTtmBoznI1?(19j=uuMCu9D2H+4t_=y}Qz}neEG?queX)&d;@W
zXKHNNvu967qJ&VVi%?9Y_qJ8dHve`OKVS8flZ7eo<~)ha%*-POJ$JTVv61ul5>-`J
zZkA|Uc;du~tV*5JMW+pqoH%t#sV(t|USfc`pWS@_-{0O&&Zz$SO4N{Nae;5~+NiA=
z$NOZ3avxQPT)b6YxbVe;gUy}_0u#1vGyD4Ta(l$Ir5iRF?7Y*?FMsJ!EBDIE&(C5M
zw{PEW?&|6qx;tgXrca<F&@z5~c_|_*>-+TS)1v88s%mOpBC}`DoO$un)6<%UhJkwi
zF@NrE&yP=voW{e$lkw-r$C77fB)xom{=6y-)60AQ`6sA;zqP;K{^`@Fnp?N%T3JOc
znz60=`@1a(2b;38vp@}SIXStjaqEq2Y;0D9t`56XcXwCmRK0n3w`5Lkac~BC<Nv?E
zUWMP^-#@>y<>jkaURO&)+Z!4f@;X<|n>X)@ZJcb`n;VW*RaK^4!O_vtD{m<%Edq_=
zYvo5pMS-^MFRftblbH}bXYS0Io^o<>OIEM;W@>Cu^PlH)^5jXc*yx@+cVeP8rEp40
zNPrqR>FMcJpPqCE-C49q>DH!H?(pwRJf^NPdi3})s7o)=2I{FTy|PqES$XFzi{Rkk
zrB~KuNr6T&Dk~~L?c9$)Yg&_pTwK)s<~*2oY1Yh{fe8r<ytpPxt>6cZ;DsN)x;p&i
z-Me$!cqE;g*?1R$&S_f6#T$6^fO~xW{9Wbm{iMzFRHmh7-rNKlj&KLfjAmqLd~V;h
zWJwDfkAy>w-F&OEHz(Fk6+ivs=Iz_3|0+iAEK>dWv*yvqiWptS)0>Vw|9tZP{dl$K
z7Zy6-NpOmBSD5C+!^b!6<VtY=rn0i~%F1B%OV_V2S9ER@IK9cF;DN)dtE<JswF3eI
z9C!|2SQWbZ#k;$^?}*9D`tlsUur7AD%B`c(sVBT0j&SztteE}dPyF+%Q=%nr-n=>I
zlh9#<kkw(J>v-h<{`>uY%B)#h)2n}eN}XkvD^-4eqmH+*n$L=|x3ykgTt9#Q4BTDz
zwj)s@>&gnjox64ko!-PHyzZ2irOxRf&{m_=$dyOdYk^Mm0_8=&xmKPlj;xK^y6V=W
z($dFkJd@nN+-LeGsO(n2`ev?G>7vlpVTGG+xwu?j?ys(_tbFR!sY%s)*R0VoGBR2u
zX`EJ&ySMuLvbw*&G<#Y*R>beGy8>F&us?EhnwR%d{m4x%v&?e6TwHQ*Z(I8E@^bB?
zv+ZiFw&vcR*3n^A{%%ds+U|%9=erhHec$-__)M8r6uU8rb>@s29$UNFk4_clcipNH
zI&t=F?{0B@wc6U+M;|MmJbL8R+1cq;*xlWod3u`el^uo2Ns-fXa&w<v`x@%z<iv!s
z7HMKY?&Q{0%)gr1`L#?JtoNMrN~Qdfg=E{qM<F5hOAlUeRb#yPAinX(kBWDksZZCY
zpPyIq|KH!N%BN4Cmi+jTC}me;5g8E?aC=+s$$R(a@yXe&n6lj|DoQH%)|Sq+v$I_D
z^76LS{jF-P=L2=dIyyL_w&%(I{QWyPB4UQq{?1v)R{9l%M?`qk)zw|uS)6|9>Q&X;
z+}y1D`)q&y_)%b|{peuoRo}4PJJuQ<X}z-8z5kh6;lz^r`)XBhx%bQYCLim0Sh2hO
z{WOgL5$%?_7KMv$F}bxRg8GVmvew6P8yg#sY|{Dp<A=wVZga!@H#atJDSYgf_xbbZ
z$7x%%w&&m3F|m45%w$mT9x=|Iy3i*`o&WrNd-eSMd?RDy$v-W_+9ypCvMPHc(JNy)
zY0K8FovD#omzH$iiS*rgXiCK2Ge?fJfaV&zy1FI>39RnXkKY%NlA_WpXFIE;q@*J?
z(#X_wY31i<fj&MxcPy@c6bLW}Rn0D<{Oo1#@A;aUncXS()({a2JnA!j-8#Lk`S<7L
z-P@x%x&HGr-&YqFGJ{GQo=qU7I;XYfOuVr<y+5SMyzEUx)~zj?q9P(Ep4R>P(g{jI
zkB{{#D=n)0{A}X7b$ZXULuBXKR=e%mwF`6rlhP`QHQX#ryXyY#in-S-ZSJ8UP~h3H
zt8mrq8<tj9L9@+rMfetYdwZ|+oo)8y#fuYLQz6SO%r)j2rFNbA=VWPVxh3PGlHSLH
z($Y}vj|u-4bF4VS?6~Ovxrz`!n@^uVKP`eT#n9q^ku9{`>f~GtzmGca7dp3_bRM^7
z0Tns>xg;eeMWm&@r|ZW*>-lW*ql|-xC!}(9PaCiFq|VOHOVNwndOJL}9&z8(S-C1F
zzIl1xoL6dPJi!aKmaSi}ztPaAbyC>XGG=Dxsdk@do9C}u`f1Yq`R6O+Km4p|eLj8a
z)Qhd$;u(*QbfzREIPe@k5qfxa&n$`Nm9G>7Ao1(r@Bcil@Caxa*L-$zR+d*^U!O_h
zA@EwcDObOI`SRk)$;m?3wRCk=t*xz-BB#m7$Y|Ku%$a9b>jmo7FZZ7xR8e7JzGBPP
zty3jRjvhZQJpcUieYL+YtqxzGa_rZutJ--hGiz#W1VedlfDTaTl`>s);X;7s%B!Gc
zk&&SR>VUqwzW)5lmvuirG`2V?zI^#|;{N^nL*}oK+pAPxUk@5MUKntKx9(~$sEMPd
z)+W)WsIIR5>&wf@K5>qYjF#5cp!F5P!p<NU?JRyisjrWZlZ9!PRq3m6Pn$`TCQW$+
zT>!IF)u*hiOhj6GwTQW$-Ms3C6zC!wRk>9>kVv}w@$vDKmo5c8wJ`lrme3*Mp_{Rw
zk>`rbNhfCBnwpxBXYiG*pnJHsY%!TysT;K=!1`P>JO8RPvn>jh8n|4wLIYzz{@s2E
zw90CUr|{DA`g(e9DJd#V&CQ|zWGg;D<L#5NWb*g-pIR~BzW&(D%gZ0Wc=2QV5lM0J
z_6H9htY0+m^QWiYYhrhcE%%!XGG*ttW4+SJFD@*M*io?XOw+eRhnzqwN*fy+jY6kL
zv>j~W6#nr0{eJIG^*48SiyNn(V>!L)#pUJvR%LHEYHMq2{`?T+m$!4t$<aA=`ZQ>H
zYv-ZQx3}jXzIahkQd085#fyzQcUm5={`N+)tE(#^DXFQWgQMjAy}6H<E?JUrq(d+!
zuxPGTsYP5}om~fqtaaIukB^UE+*SHo>bPduJuM9lht*+gRVw=BY!7vd>n~Wn`t-_8
zoe$r><+ZoB2OZhe*Vp&r!op^k`iT=Ko;Z0DbllaSKYtdiUfn%ul2AlcRMN{!OT9Rm
zL&Cm-Mle99bU%8O1e*ETe!s4H=gysnvPHzjlb@fP8?nF6*2vg6F+Cl0pV60hccT@}
z?d;^V!`2*F8N56pBZI@=-yak*Y;0^-LHX~&>(||&1GLVZ;W<4`w|VvI)lLs5%{nr3
z;zY*!`uaCFH?uEYx)iiic+Z|aBKwX{n>MZD#|OnTXV31mkQ5c!WAel7M}3E}+w%`~
S9#sqs3=E#GelF{r5}E*rQq)oa
literal 0
HcmV?d00001
--
GitLab