diff --git a/Code/MonoMutliViewClassifiers/ExecClassif.py b/Code/MonoMutliViewClassifiers/ExecClassif.py index 2a02e7dd843b3ac8a000ce9012cb3cf91a0479b8..e3ed083d6d7638c174ab491dd435e0a219085b7d 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 55d4e86f2ecd52fb2e0e7d4e9ef304a09608d554..dda9e5d70d22521d5a12d88410346135acffd89a 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 cffd6f0199454f50c0e589ba7b48216a020aba20..09268a897df07c3fc0460c9fa39bfa5254e6eed6 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 6f3195009bc91eb6ef1830ed214543c40a60d88a..2dabc62c082d9b2288a70fc80d697f606885cc8f 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 b839496fd441750d60f60d2eb9550905973acf8c..c7d4a6c16135b42ae70e8bcd386c55f9da9c5e70 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 ebca53330f61e9c1e83cf350a72bdfed946b9972..6afefd12cbbb953f3bb547f02cc79484a14fc421 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 0000000000000000000000000000000000000000..e62dae8bc2d190bd7dedde2e9b90fa897081fe21 --- /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 0000000000000000000000000000000000000000..5b90600ea577566b8c9b89bfbfb098343ddedf16 --- /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 0000000000000000000000000000000000000000..756bfd0c0ddc3c0029e5a9ceae8e12b33c132716 --- /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 7a3b56c14df4a47148331c8aa740f6417d2f9d9d..9d67bc8b459d0f97560acb7ffb3bb7f06a2933f2 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 d21d43ce5d8d7bbf350b3e6d1db6c49f5851f113..1145fad927caa135a809ff78f8843a3bb1271a49 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 f3d65d39040a83b2c1a7364b86e08066b3331b6c..bc28e9bc1ba2d90d4796d6ee0e78a2ad140cd08a 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 0000000000000000000000000000000000000000..febccc0316670e2867766ded33cc36db8abc438b --- /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 0000000000000000000000000000000000000000..c13db510b5a8569a8e871ccdc3cb0b361030238d --- /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 0000000000000000000000000000000000000000..70c892489bc039e950ca4905d6220af88ad2e384 --- /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 0000000000000000000000000000000000000000..f26e84f823ad6f2e7a03e7c45bf58a7a9f3ef088 --- /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 0000000000000000000000000000000000000000..81669a3a2b05f4476542be03c33127197d84070d --- /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 0000000000000000000000000000000000000000..bbc6b84cde60389cecd558d38841f55de4ebc206 --- /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 0000000000000000000000000000000000000000..07d517429ebc86659586080f08d99fecfa1e017c --- /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 0000000000000000000000000000000000000000..1894db59156de7f4c98dc7ae0214ea32bc7499ed --- /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 0000000000000000000000000000000000000000..2d22e37880fb2ca3a0694f8b032dfdfaa0d7700a --- /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 0000000000000000000000000000000000000000..a572d4f14eb04dd77342480011b90de5ad3470d5 --- /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 0000000000000000000000000000000000000000..0bad5f7ebb04b2b19515eb11a44c027b63821566 --- /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 0000000000000000000000000000000000000000..a5e07126443d57c8057aa64089e05c9da1463509 --- /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 0000000000000000000000000000000000000000..e66cc265a131b62dfb61dfc7821083c56bf33369 --- /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 0000000000000000000000000000000000000000..8fb871d009b71c2663d36f2b90b7c4b2c99f6a18 --- /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 0000000000000000000000000000000000000000..b65e0f73e3f0b46b681d5b1ccb9c58a7d121a125 --- /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 0000000000000000000000000000000000000000..5c6c1813aefa910153e0afa83a4712eae6d3ec23 --- /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 Binary files /dev/null and b/Code/MonoMutliViewClassifiers/Results/poulet20160825-093643.png differ diff --git a/Code/MonoMutliViewClassifiers/Results/poulet20160825-093757.png b/Code/MonoMutliViewClassifiers/Results/poulet20160825-093757.png new file mode 100644 index 0000000000000000000000000000000000000000..d46343bba9edbd726c70f2589e6a5de2d6a27b1a Binary files /dev/null and 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