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Commit 36d90e15 authored by Baptiste Bauvin's avatar Baptiste Bauvin
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Removed some stuff

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;a_class_time;b_cl_desc;c_cl_res;d_cl_score
0;19.4069910049;Classif_DT-CV_5-;"GridSearchCV(cv=5, error_score='raise',
estimator=Pipeline(steps=[('classifier', DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None,
max_features=None, max_leaf_nodes=None, min_samples_leaf=1,
min_samples_split=2, min_weight_fraction_leaf=0.0,
presort=False, random_state=None, splitter='best'))]),
fit_params={}, iid=True, n_jobs=4,
param_grid={'classifier__max_depth': [1, 3, 5, 7]},
pre_dispatch='2*n_jobs', refit=True, scoring='accuracy', verbose=0)";0.618497109827
2016-03-24 21:47:08,732 DEBUG: ### Main Programm for Classification MonoView
2016-03-24 21:47:08,733 DEBUG: ### Classification - Database:Caltech Feature:HOG train_size:0.8, GridSearch of Trees:25 75 125 175, CrossValidation k-folds:10, cores:1
2016-03-24 21:47:08,733 DEBUG: Start: Read CSV Files
2016-03-24 21:47:09,078 DEBUG: Info: Shape of Feature:(9144L, 20L), Length of classLabels vector:(9144L,)
2016-03-24 21:47:09,078 DEBUG: Done: Read CSV Files
2016-03-24 21:47:09,078 DEBUG: Start: Determine Train/Test split
2016-03-24 21:47:09,082 DEBUG: Info: Shape X_train:(7315L, 20L), Length of y_train:7315
2016-03-24 21:47:09,082 DEBUG: Info: Shape X_test:(1829L, 20L), Length of y_test:1829
2016-03-24 21:47:09,082 DEBUG: Done: Determine Train/Test split
2016-03-24 21:47:09,082 DEBUG: Start: Classification
2016-03-24 21:51:15,891 DEBUG: Info: Time for Classification: 247.153999805[s]
2016-03-24 21:51:15,891 DEBUG: Done: Classification
2016-03-24 21:51:15,891 DEBUG: Start: Exporting to CSV
2016-03-24 21:51:15,895 DEBUG: Done: Exporting to CSV
2016-03-24 21:51:16,267 DEBUG: Start: Statistic Results
2016-03-24 21:51:16,269 DEBUG: Info: Classification report:
2016-03-24 21:51:16,272 DEBUG:
precision recall f1-score support
accordion 0.88 0.78 0.82 9
airplanes 0.71 0.94 0.81 173
anchor 0.00 0.00 0.00 10
ant 0.00 0.00 0.00 7
BACKGROUND_Google 0.25 0.43 0.31 98
barrel 0.00 0.00 0.00 11
bass 0.00 0.00 0.00 15
beaver 0.25 0.09 0.13 11
binocular 1.00 0.20 0.33 5
bonsai 0.25 0.42 0.31 24
brain 0.14 0.28 0.18 18
brontosaurus 0.00 0.00 0.00 11
buddha 0.00 0.00 0.00 21
butterfly 0.25 0.16 0.20 25
camera 0.00 0.00 0.00 6
cannon 0.00 0.00 0.00 7
car_side 0.59 0.73 0.66 26
ceiling_fan 0.00 0.00 0.00 10
cellphone 0.36 0.38 0.37 13
chair 0.50 0.07 0.12 15
chandelier 0.00 0.00 0.00 16
cougar_body 0.00 0.00 0.00 13
cougar_face 0.12 0.08 0.10 13
crab 0.06 0.10 0.08 10
crayfish 0.00 0.00 0.00 17
crocodile 0.25 0.27 0.26 11
crocodile_head 0.20 0.12 0.15 8
cup 0.00 0.00 0.00 15
dalmatian 0.00 0.00 0.00 13
dollar_bill 0.27 0.30 0.29 10
dolphin 0.60 0.21 0.32 14
dragonfly 0.36 0.29 0.32 14
electric_guitar 0.00 0.00 0.00 12
elephant 0.00 0.00 0.00 5
emu 0.25 0.14 0.18 14
euphonium 0.50 0.15 0.24 13
ewer 0.25 0.05 0.08 20
Faces 0.45 0.71 0.55 95
Faces_easy 0.38 0.86 0.52 83
ferry 0.25 0.27 0.26 11
flamingo 0.20 0.08 0.12 12
flamingo_head 0.50 0.50 0.50 4
garfield 0.67 0.29 0.40 7
gerenuk 0.10 0.14 0.12 7
gramophone 0.00 0.00 0.00 11
grand_piano 0.23 0.23 0.23 13
hawksbill 0.13 0.39 0.19 18
headphone 0.00 0.00 0.00 6
hedgehog 0.00 0.00 0.00 11
helicopter 0.25 0.14 0.18 22
ibis 0.00 0.00 0.00 13
inline_skate 0.00 0.00 0.00 7
joshua_tree 0.36 0.33 0.35 12
kangaroo 0.14 0.12 0.13 26
ketch 0.38 0.25 0.30 24
lamp 0.00 0.00 0.00 11
laptop 0.67 0.11 0.18 19
Leopards 0.40 0.80 0.53 44
llama 0.05 0.06 0.05 17
lobster 0.00 0.00 0.00 11
lotus 0.14 0.07 0.10 14
mandolin 0.00 0.00 0.00 8
mayfly 0.00 0.00 0.00 9
menorah 0.11 0.06 0.08 16
metronome 0.40 0.40 0.40 5
minaret 0.54 1.00 0.70 7
Motorbikes 0.54 0.94 0.68 139
nautilus 0.00 0.00 0.00 9
octopus 1.00 0.11 0.20 9
okapi 0.00 0.00 0.00 7
pagoda 0.44 0.80 0.57 5
panda 0.00 0.00 0.00 3
pigeon 0.00 0.00 0.00 10
pizza 0.00 0.00 0.00 11
platypus 0.00 0.00 0.00 7
pyramid 0.00 0.00 0.00 11
revolver 0.50 0.09 0.15 22
rhino 0.12 0.08 0.10 13
rooster 0.00 0.00 0.00 10
saxophone 0.00 0.00 0.00 7
schooner 0.00 0.00 0.00 9
scissors 0.40 0.20 0.27 10
scorpion 0.20 0.05 0.08 21
sea_horse 1.00 0.14 0.25 14
snoopy 0.67 0.29 0.40 7
soccer_ball 0.25 0.27 0.26 11
stapler 0.33 0.12 0.18 8
starfish 0.14 0.19 0.16 16
stegosaurus 0.00 0.00 0.00 14
stop_sign 0.60 0.21 0.32 14
strawberry 0.00 0.00 0.00 7
sunflower 0.13 0.10 0.11 20
tick 0.00 0.00 0.00 11
trilobite 0.54 0.83 0.65 18
umbrella 0.14 0.08 0.10 13
watch 0.25 0.32 0.28 50
water_lilly 0.00 0.00 0.00 6
wheelchair 0.00 0.00 0.00 11
wild_cat 0.00 0.00 0.00 3
windsor_chair 1.00 0.14 0.25 7
wrench 0.80 0.80 0.80 5
yin_yang 0.67 0.13 0.22 15
avg / total 0.32 0.38 0.32 1829
2016-03-24 21:51:16,288 DEBUG: Info: Statistics:
2016-03-24 21:51:16,323 DEBUG:
Statistic Values
0 Accuracy score on test 0.381082558775
1 Top 10 classes by F1-Score [accordion, airplanes, wrench, minaret, Motorb...
2 Worst 10 classes by F1-Score [ibis, cup, dalmatian, stegosaurus, electric_g...
3 Ratio of classes with F1-Score==0 of all classes 0.401961
4 Mean of F1-Score of top 10 classes by F1-Score 0.677718
5 Mean of F1-Score of top 20 classes by F1-Score 0.534328
6 Mean of F1-Score of top 30 classes by F1-Score 0.451424
2016-03-24 21:51:16,325 DEBUG: Info: Calculate Confusionmatrix
2016-03-24 21:51:18,109 DEBUG: Done: Statistic Results
2016-03-24 21:51:18,109 DEBUG: Start: Plot Result
2016-03-24 21:51:19,094 DEBUG: Done: Plot Result
;Precision;Recall;F1;Support
accordion;0.875;0.777777777778;0.823529411765;9.0
airplanes;0.708695652174;0.942196531792;0.808933002481;173.0
anchor;0.0;0.0;0.0;10.0
ant;0.0;0.0;0.0;7.0
BACKGROUND_Google;0.248520710059;0.428571428571;0.314606741573;98.0
barrel;0.0;0.0;0.0;11.0
bass;0.0;0.0;0.0;15.0
beaver;0.25;0.0909090909091;0.133333333333;11.0
binocular;1.0;0.2;0.333333333333;5.0
bonsai;0.25;0.416666666667;0.3125;24.0
brain;0.135135135135;0.277777777778;0.181818181818;18.0
brontosaurus;0.0;0.0;0.0;11.0
buddha;0.0;0.0;0.0;21.0
butterfly;0.25;0.16;0.19512195122;25.0
camera;0.0;0.0;0.0;6.0
cannon;0.0;0.0;0.0;7.0
car_side;0.59375;0.730769230769;0.655172413793;26.0
ceiling_fan;0.0;0.0;0.0;10.0
cellphone;0.357142857143;0.384615384615;0.37037037037;13.0
chair;0.5;0.0666666666667;0.117647058824;15.0
chandelier;0.0;0.0;0.0;16.0
cougar_body;0.0;0.0;0.0;13.0
cougar_face;0.125;0.0769230769231;0.0952380952381;13.0
crab;0.0625;0.1;0.0769230769231;10.0
crayfish;0.0;0.0;0.0;17.0
crocodile;0.25;0.272727272727;0.260869565217;11.0
crocodile_head;0.2;0.125;0.153846153846;8.0
cup;0.0;0.0;0.0;15.0
dalmatian;0.0;0.0;0.0;13.0
dollar_bill;0.272727272727;0.3;0.285714285714;10.0
dolphin;0.6;0.214285714286;0.315789473684;14.0
dragonfly;0.363636363636;0.285714285714;0.32;14.0
electric_guitar;0.0;0.0;0.0;12.0
elephant;0.0;0.0;0.0;5.0
emu;0.25;0.142857142857;0.181818181818;14.0
euphonium;0.5;0.153846153846;0.235294117647;13.0
ewer;0.25;0.05;0.0833333333333;20.0
Faces;0.44966442953;0.705263157895;0.549180327869;95.0
Faces_easy;0.375661375661;0.855421686747;0.522058823529;83.0
ferry;0.25;0.272727272727;0.260869565217;11.0
flamingo;0.2;0.0833333333333;0.117647058824;12.0
flamingo_head;0.5;0.5;0.5;4.0
garfield;0.666666666667;0.285714285714;0.4;7.0
gerenuk;0.1;0.142857142857;0.117647058824;7.0
gramophone;0.0;0.0;0.0;11.0
grand_piano;0.230769230769;0.230769230769;0.230769230769;13.0
hawksbill;0.12962962963;0.388888888889;0.194444444444;18.0
headphone;0.0;0.0;0.0;6.0
hedgehog;0.0;0.0;0.0;11.0
helicopter;0.25;0.136363636364;0.176470588235;22.0
ibis;0.0;0.0;0.0;13.0
inline_skate;0.0;0.0;0.0;7.0
joshua_tree;0.363636363636;0.333333333333;0.347826086957;12.0
kangaroo;0.142857142857;0.115384615385;0.127659574468;26.0
ketch;0.375;0.25;0.3;24.0
lamp;0.0;0.0;0.0;11.0
laptop;0.666666666667;0.105263157895;0.181818181818;19.0
Leopards;0.402298850575;0.795454545455;0.534351145038;44.0
llama;0.0454545454545;0.0588235294118;0.0512820512821;17.0
lobster;0.0;0.0;0.0;11.0
lotus;0.142857142857;0.0714285714286;0.0952380952381;14.0
mandolin;0.0;0.0;0.0;8.0
mayfly;0.0;0.0;0.0;9.0
menorah;0.111111111111;0.0625;0.08;16.0
metronome;0.4;0.4;0.4;5.0
minaret;0.538461538462;1.0;0.7;7.0
Motorbikes;0.537190082645;0.935251798561;0.682414698163;139.0
nautilus;0.0;0.0;0.0;9.0
octopus;1.0;0.111111111111;0.2;9.0
okapi;0.0;0.0;0.0;7.0
pagoda;0.444444444444;0.8;0.571428571429;5.0
panda;0.0;0.0;0.0;3.0
pigeon;0.0;0.0;0.0;10.0
pizza;0.0;0.0;0.0;11.0
platypus;0.0;0.0;0.0;7.0
pyramid;0.0;0.0;0.0;11.0
revolver;0.5;0.0909090909091;0.153846153846;22.0
rhino;0.125;0.0769230769231;0.0952380952381;13.0
rooster;0.0;0.0;0.0;10.0
saxophone;0.0;0.0;0.0;7.0
schooner;0.0;0.0;0.0;9.0
scissors;0.4;0.2;0.266666666667;10.0
scorpion;0.2;0.047619047619;0.0769230769231;21.0
sea_horse;1.0;0.142857142857;0.25;14.0
snoopy;0.666666666667;0.285714285714;0.4;7.0
soccer_ball;0.25;0.272727272727;0.260869565217;11.0
stapler;0.333333333333;0.125;0.181818181818;8.0
starfish;0.142857142857;0.1875;0.162162162162;16.0
stegosaurus;0.0;0.0;0.0;14.0
stop_sign;0.6;0.214285714286;0.315789473684;14.0
strawberry;0.0;0.0;0.0;7.0
sunflower;0.133333333333;0.1;0.114285714286;20.0
tick;0.0;0.0;0.0;11.0
trilobite;0.535714285714;0.833333333333;0.652173913043;18.0
umbrella;0.142857142857;0.0769230769231;0.1;13.0
watch;0.246153846154;0.32;0.278260869565;50.0
water_lilly;0.0;0.0;0.0;6.0
wheelchair;0.0;0.0;0.0;11.0
wild_cat;0.0;0.0;0.0;3.0
windsor_chair;1.0;0.142857142857;0.25;7.0
wrench;0.8;0.8;0.8;5.0
yin_yang;0.666666666667;0.133333333333;0.222222222222;15.0
;Statistic;Values
0;Accuracy score on test;0.381082558775
1;Top 10 classes by F1-Score;['accordion', 'airplanes', 'wrench', 'minaret', 'Motorbikes', 'car_side', 'trilobite', 'pagoda', 'Faces', 'Leopards']
2;Worst 10 classes by F1-Score;['ibis', 'cup', 'dalmatian', 'stegosaurus', 'electric_guitar', 'schooner', 'saxophone', 'rooster', 'gramophone', 'pyramid']
3;Ratio of classes with F1-Score==0 of all classes;0.4019607843137255
4;Mean of F1-Score of top 10 classes by F1-Score;0.6777183483581
5;Mean of F1-Score of top 20 classes by F1-Score;0.5343280785727424
6;Mean of F1-Score of top 30 classes by F1-Score;0.45142361014368126
;a_class_time;b_cl_desc;c_cl_res;d_cl_score
0;247.153999805;Classif_RF-CV_10-Trees_175;"GridSearchCV(cv=10, error_score='raise',
estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
max_depth=None, max_features='auto', max_leaf_nodes=None,
min_samples_leaf=1, min_samples_split=2,
min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
oob_score=False, random_state=None, verbose=0,
warm_start=False))]),
fit_params={}, iid=True, loss_func=None, n_jobs=1,
param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
pre_dispatch='2*n_jobs', refit=True, score_func=None,
scoring='accuracy', verbose=0)";0.378400546822
2016-03-24 21:12:30,552 DEBUG: ### Main Programm for Classification MonoView
2016-03-24 21:12:30,552 DEBUG: ### Classification - Database:Caltech Feature:HSV train_size:0.8, GridSearch of Trees:25 75 125 175, CrossValidation k-folds:10, cores:1
2016-03-24 21:12:30,552 DEBUG: Start: Read CSV Files
2016-03-24 21:12:31,628 DEBUG: Info: Shape of Feature:(9144L, 48L), Length of classLabels vector:(9144L,)
2016-03-24 21:12:31,630 DEBUG: Done: Read CSV Files
2016-03-24 21:12:31,630 DEBUG: Start: Determine Train/Test split
2016-03-24 21:12:31,634 DEBUG: Info: Shape X_train:(7315L, 48L), Length of y_train:7315
2016-03-24 21:12:31,634 DEBUG: Info: Shape X_test:(1829L, 48L), Length of y_test:1829
2016-03-24 21:12:31,634 DEBUG: Done: Determine Train/Test split
2016-03-24 21:12:31,634 DEBUG: Start: Classification
2016-03-24 21:18:27,650 DEBUG: Info: Time for Classification: 357.092999935[s]
2016-03-24 21:18:27,650 DEBUG: Done: Classification
2016-03-24 21:18:27,650 DEBUG: Start: Exporting to CSV
2016-03-24 21:18:27,671 DEBUG: Done: Exporting to CSV
2016-03-24 21:18:27,948 DEBUG: Start: Statistic Results
2016-03-24 21:18:27,950 DEBUG: Info: Classification report:
2016-03-24 21:18:27,980 DEBUG:
precision recall f1-score support
accordion 0.17 0.50 0.25 8
airplanes 0.43 0.88 0.57 160
anchor 0.50 0.18 0.27 11
ant 0.00 0.00 0.00 4
BACKGROUND_Google 0.11 0.31 0.16 75
barrel 0.00 0.00 0.00 13
bass 0.00 0.00 0.00 11
beaver 0.00 0.00 0.00 7
binocular 1.00 0.14 0.25 7
bonsai 0.36 0.15 0.21 27
brain 0.40 0.30 0.34 20
brontosaurus 0.00 0.00 0.00 10
buddha 0.17 0.06 0.09 16
butterfly 0.25 0.05 0.08 22
camera 0.00 0.00 0.00 7
cannon 0.00 0.00 0.00 10
car_side 0.50 0.77 0.61 22
ceiling_fan 0.50 0.09 0.15 11
cellphone 0.00 0.00 0.00 17
chair 0.00 0.00 0.00 7
chandelier 0.10 0.04 0.06 23
cougar_body 0.00 0.00 0.00 11
cougar_face 0.00 0.00 0.00 16
crab 0.20 0.07 0.11 14
crayfish 0.33 0.05 0.08 21
crocodile 0.00 0.00 0.00 7
crocodile_head 0.00 0.00 0.00 8
cup 0.00 0.00 0.00 11
dalmatian 0.17 0.07 0.10 15
dollar_bill 0.25 0.19 0.21 16
dolphin 0.25 0.12 0.16 17
dragonfly 0.00 0.00 0.00 14
electric_guitar 1.00 0.07 0.13 14
elephant 0.33 0.15 0.21 13
emu 0.00 0.00 0.00 13
euphonium 0.25 0.14 0.18 14
ewer 0.00 0.00 0.00 21
Faces 0.29 0.57 0.38 95
Faces_easy 0.37 0.85 0.52 87
ferry 0.50 0.09 0.15 11
flamingo 0.50 0.20 0.29 10
flamingo_head 0.00 0.00 0.00 4
garfield 0.50 0.12 0.20 8
gerenuk 0.50 0.20 0.29 5
gramophone 0.00 0.00 0.00 11
grand_piano 0.31 0.19 0.24 26
hawksbill 0.36 0.23 0.28 22
headphone 0.00 0.00 0.00 6
hedgehog 0.00 0.00 0.00 12
helicopter 0.00 0.00 0.00 13
ibis 0.00 0.00 0.00 15
inline_skate 1.00 0.12 0.22 8
joshua_tree 0.00 0.00 0.00 11
kangaroo 0.00 0.00 0.00 12
ketch 0.29 0.30 0.29 20
lamp 0.00 0.00 0.00 13
laptop 0.00 0.00 0.00 13
Leopards 0.63 1.00 0.77 46
llama 0.00 0.00 0.00 18
lobster 0.00 0.00 0.00 7
lotus 0.67 0.17 0.27 12
mandolin 0.00 0.00 0.00 8
mayfly 1.00 0.14 0.25 7
menorah 0.20 0.06 0.09 18
metronome 1.00 0.29 0.44 7
minaret 0.39 0.47 0.42 15
Motorbikes 0.50 0.92 0.65 154
nautilus 1.00 0.14 0.25 14
octopus 0.75 0.33 0.46 9
okapi 0.00 0.00 0.00 7
pagoda 0.33 0.07 0.12 14
panda 0.00 0.00 0.00 10
pigeon 0.00 0.00 0.00 7
pizza 0.00 0.00 0.00 12
platypus 0.00 0.00 0.00 6
pyramid 0.00 0.00 0.00 13
revolver 0.00 0.00 0.00 13
rhino 0.00 0.00 0.00 12
rooster 0.00 0.00 0.00 8
saxophone 0.00 0.00 0.00 11
schooner 0.33 0.08 0.13 12
scissors 0.00 0.00 0.00 7
scorpion 0.33 0.14 0.19 22
sea_horse 0.00 0.00 0.00 12
snoopy 0.40 0.50 0.44 4
soccer_ball 0.12 0.20 0.15 5
stapler 0.00 0.00 0.00 14
starfish 0.08 0.06 0.07 17
stegosaurus 0.17 0.12 0.14 8
stop_sign 0.57 0.27 0.36 15
strawberry 1.00 0.12 0.22 8
sunflower 0.38 0.33 0.35 18
tick 0.17 0.12 0.14 8
trilobite 0.36 0.60 0.45 20
umbrella 0.14 0.06 0.09 16
watch 0.22 0.25 0.24 40
water_lilly 1.00 0.12 0.22 8
wheelchair 0.00 0.00 0.00 12
wild_cat 0.00 0.00 0.00 7
windsor_chair 0.00 0.00 0.00 13
wrench 0.00 0.00 0.00 8
yin_yang 0.50 0.42 0.45 12
avg / total 0.28 0.34 0.26 1829
2016-03-24 21:18:27,992 DEBUG: Info: Statistics:
2016-03-24 21:18:28,009 DEBUG:
Statistic Values
0 Accuracy score on test 0.338983050847
1 Top 10 classes by F1-Score [Leopards, Motorbikes, car_side, airplanes, Fa...
2 Worst 10 classes by F1-Score [ibis, ewer, pyramid, flamingo_head, gramophon...
3 Ratio of classes with F1-Score==0 of all classes 0.460784
4 Mean of F1-Score of top 10 classes by F1-Score 0.537674
5 Mean of F1-Score of top 20 classes by F1-Score 0.432666
6 Mean of F1-Score of top 30 classes by F1-Score 0.368668
2016-03-24 21:18:28,009 DEBUG: Info: Calculate Confusionmatrix
2016-03-24 21:18:29,839 DEBUG: Done: Statistic Results
2016-03-24 21:18:29,841 DEBUG: Start: Plot Result
2016-03-24 21:18:30,710 DEBUG: Done: Plot Result
;Precision;Recall;F1;Support
accordion;0.166666666667;0.5;0.25;8.0
airplanes;0.425531914894;0.875;0.572597137014;160.0
anchor;0.5;0.181818181818;0.266666666667;11.0
ant;0.0;0.0;0.0;4.0
BACKGROUND_Google;0.10599078341;0.306666666667;0.157534246575;75.0
barrel;0.0;0.0;0.0;13.0
bass;0.0;0.0;0.0;11.0
beaver;0.0;0.0;0.0;7.0
binocular;1.0;0.142857142857;0.25;7.0
bonsai;0.363636363636;0.148148148148;0.210526315789;27.0
brain;0.4;0.3;0.342857142857;20.0
brontosaurus;0.0;0.0;0.0;10.0
buddha;0.166666666667;0.0625;0.0909090909091;16.0
butterfly;0.25;0.0454545454545;0.0769230769231;22.0
camera;0.0;0.0;0.0;7.0
cannon;0.0;0.0;0.0;10.0
car_side;0.5;0.772727272727;0.607142857143;22.0
ceiling_fan;0.5;0.0909090909091;0.153846153846;11.0
cellphone;0.0;0.0;0.0;17.0
chair;0.0;0.0;0.0;7.0
chandelier;0.1;0.0434782608696;0.0606060606061;23.0
cougar_body;0.0;0.0;0.0;11.0
cougar_face;0.0;0.0;0.0;16.0
crab;0.2;0.0714285714286;0.105263157895;14.0
crayfish;0.333333333333;0.047619047619;0.0833333333333;21.0
crocodile;0.0;0.0;0.0;7.0
crocodile_head;0.0;0.0;0.0;8.0
cup;0.0;0.0;0.0;11.0
dalmatian;0.166666666667;0.0666666666667;0.0952380952381;15.0
dollar_bill;0.25;0.1875;0.214285714286;16.0
dolphin;0.25;0.117647058824;0.16;17.0
dragonfly;0.0;0.0;0.0;14.0
electric_guitar;1.0;0.0714285714286;0.133333333333;14.0
elephant;0.333333333333;0.153846153846;0.210526315789;13.0
emu;0.0;0.0;0.0;13.0
euphonium;0.25;0.142857142857;0.181818181818;14.0
ewer;0.0;0.0;0.0;21.0
Faces;0.290322580645;0.568421052632;0.384341637011;95.0
Faces_easy;0.373737373737;0.850574712644;0.519298245614;87.0
ferry;0.5;0.0909090909091;0.153846153846;11.0
flamingo;0.5;0.2;0.285714285714;10.0
flamingo_head;0.0;0.0;0.0;4.0
garfield;0.5;0.125;0.2;8.0
gerenuk;0.5;0.2;0.285714285714;5.0
gramophone;0.0;0.0;0.0;11.0
grand_piano;0.3125;0.192307692308;0.238095238095;26.0
hawksbill;0.357142857143;0.227272727273;0.277777777778;22.0
headphone;0.0;0.0;0.0;6.0
hedgehog;0.0;0.0;0.0;12.0
helicopter;0.0;0.0;0.0;13.0
ibis;0.0;0.0;0.0;15.0
inline_skate;1.0;0.125;0.222222222222;8.0
joshua_tree;0.0;0.0;0.0;11.0
kangaroo;0.0;0.0;0.0;12.0
ketch;0.285714285714;0.3;0.292682926829;20.0
lamp;0.0;0.0;0.0;13.0
laptop;0.0;0.0;0.0;13.0
Leopards;0.630136986301;1.0;0.773109243697;46.0
llama;0.0;0.0;0.0;18.0
lobster;0.0;0.0;0.0;7.0
lotus;0.666666666667;0.166666666667;0.266666666667;12.0
mandolin;0.0;0.0;0.0;8.0
mayfly;1.0;0.142857142857;0.25;7.0
menorah;0.2;0.0555555555556;0.0869565217391;18.0
metronome;1.0;0.285714285714;0.444444444444;7.0
minaret;0.388888888889;0.466666666667;0.424242424242;15.0
Motorbikes;0.5;0.915584415584;0.646788990826;154.0
nautilus;1.0;0.142857142857;0.25;14.0
octopus;0.75;0.333333333333;0.461538461538;9.0
okapi;0.0;0.0;0.0;7.0
pagoda;0.333333333333;0.0714285714286;0.117647058824;14.0
panda;0.0;0.0;0.0;10.0
pigeon;0.0;0.0;0.0;7.0
pizza;0.0;0.0;0.0;12.0
platypus;0.0;0.0;0.0;6.0
pyramid;0.0;0.0;0.0;13.0
revolver;0.0;0.0;0.0;13.0
rhino;0.0;0.0;0.0;12.0
rooster;0.0;0.0;0.0;8.0
saxophone;0.0;0.0;0.0;11.0
schooner;0.333333333333;0.0833333333333;0.133333333333;12.0
scissors;0.0;0.0;0.0;7.0
scorpion;0.333333333333;0.136363636364;0.193548387097;22.0
sea_horse;0.0;0.0;0.0;12.0
snoopy;0.4;0.5;0.444444444444;4.0
soccer_ball;0.125;0.2;0.153846153846;5.0
stapler;0.0;0.0;0.0;14.0
starfish;0.0833333333333;0.0588235294118;0.0689655172414;17.0
stegosaurus;0.166666666667;0.125;0.142857142857;8.0
stop_sign;0.571428571429;0.266666666667;0.363636363636;15.0
strawberry;1.0;0.125;0.222222222222;8.0
sunflower;0.375;0.333333333333;0.352941176471;18.0
tick;0.166666666667;0.125;0.142857142857;8.0
trilobite;0.363636363636;0.6;0.452830188679;20.0
umbrella;0.142857142857;0.0625;0.0869565217391;16.0
watch;0.222222222222;0.25;0.235294117647;40.0
water_lilly;1.0;0.125;0.222222222222;8.0
wheelchair;0.0;0.0;0.0;12.0
wild_cat;0.0;0.0;0.0;7.0
windsor_chair;0.0;0.0;0.0;13.0
wrench;0.0;0.0;0.0;8.0
yin_yang;0.5;0.416666666667;0.454545454545;12.0
;Statistic;Values
0;Accuracy score on test;0.338983050847
1;Top 10 classes by F1-Score;['Leopards', 'Motorbikes', 'car_side', 'airplanes', 'Faces_easy', 'octopus', 'yin_yang', 'trilobite', 'snoopy', 'metronome']
2;Worst 10 classes by F1-Score;['ibis', 'ewer', 'pyramid', 'flamingo_head', 'gramophone', 'headphone', 'hedgehog', 'helicopter', 'wrench', 'joshua_tree']
3;Ratio of classes with F1-Score==0 of all classes;0.46078431372549017
4;Mean of F1-Score of top 10 classes by F1-Score;0.5376739467946424
5;Mean of F1-Score of top 20 classes by F1-Score;0.43266570774329527
6;Mean of F1-Score of top 30 classes by F1-Score;0.36866789479805107
;a_class_time;b_cl_desc;c_cl_res;d_cl_score
0;357.092999935;Classif_RF-CV_10-Trees_125;"GridSearchCV(cv=10, error_score='raise',
estimator=Pipeline(steps=[('classifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
max_depth=None, max_features='auto', max_leaf_nodes=None,
min_samples_leaf=1, min_samples_split=2,
min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,
oob_score=False, random_state=None, verbose=0,
warm_start=False))]),
fit_params={}, iid=True, loss_func=None, n_jobs=1,
param_grid={'classifier__n_estimators': [25, 75, 125, 175]},
pre_dispatch='2*n_jobs', refit=True, score_func=None,
scoring='accuracy', verbose=0)";0.342036910458
;accordion;airplanes;anchor;All
accordion;0.5;0.0;0.0;0.0166666666667
airplanes;0.0;0.5;0.0;0.458333333333
anchor;0.0;0.0212121212121;0.111111111111;0.025
All;0.5;0.521212121212;0.111111111111;0.5
2016-03-24 20:48:30,572 DEBUG: ### Main Programm for Classification MonoView
2016-03-24 20:48:30,572 DEBUG: ### Classification - Database:Caltech Feature:RGB train_size:0.8, GridSearch of Trees:25 75 125 175, CrossValidation k-folds:10, cores:1
2016-03-24 20:48:30,573 DEBUG: Start: Read CSV Files
2016-03-24 20:48:30,641 DEBUG: Info: Shape of Feature:(896L, 48L), Length of classLabels vector:(896L,)
2016-03-24 20:48:30,641 DEBUG: Done: Read CSV Files
2016-03-24 20:48:30,641 DEBUG: Start: Determine Train/Test split
2016-03-24 20:48:30,642 DEBUG: Info: Shape X_train:(716L, 48L), Length of y_train:716
2016-03-24 20:48:30,642 DEBUG: Info: Shape X_test:(180L, 48L), Length of y_test:180
2016-03-24 20:48:30,642 DEBUG: Done: Determine Train/Test split
2016-03-24 20:48:30,644 DEBUG: Start: Classification
2016-03-24 20:48:40,447 DEBUG: Info: Time for Classification: 9.86699986458[s]
2016-03-24 20:48:40,447 DEBUG: Done: Classification
2016-03-24 20:48:40,447 DEBUG: Start: Exporting to CSV
2016-03-24 20:48:40,453 DEBUG: Done: Exporting to CSV
2016-03-24 20:48:40,464 DEBUG: Start: Statistic Results
2016-03-24 20:48:40,466 DEBUG: Info: Classification report:
2016-03-24 20:48:40,467 DEBUG:
precision recall f1-score support
accordion 1.00 1.00 1.00 6
airplanes 0.96 1.00 0.98 165
anchor 1.00 0.22 0.36 9
avg / total 0.96 0.96 0.95 180
2016-03-24 20:48:40,471 DEBUG: Info: Statistics:
2016-03-24 20:48:40,483 DEBUG:
Statistic Values
0 Accuracy score on test 0.961111111111
1 Top 10 classes by F1-Score [accordion, airplanes, anchor]
2 Worst 10 classes by F1-Score [anchor, airplanes, accordion]
3 Ratio of classes with F1-Score==0 of all classes 0
4 Mean of F1-Score of top 10 classes by F1-Score 0.780955
5 Mean of F1-Score of top 20 classes by F1-Score 0.780955
6 Mean of F1-Score of top 30 classes by F1-Score 0.780955
2016-03-24 20:48:40,483 DEBUG: Info: Calculate Confusionmatrix
2016-03-24 20:48:40,789 DEBUG: Done: Statistic Results
2016-03-24 20:48:40,789 DEBUG: Start: Plot Result
2016-03-24 20:48:40,943 DEBUG: Done: Plot Result
;Precision;Recall;F1;Support
accordion;1.0;1.0;1.0;6.0
airplanes;0.959302325581;1.0;0.979228486647;165.0
anchor;1.0;0.222222222222;0.363636363636;9.0
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