4977071 1 Jan van Rijn 14 Supervised Classification 6952 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1) 3012468 axis 0 6947 categorical_features [] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "mean" 6947 strategy_nominal "most_frequent" 6947 verbose 0 6947 categorical_features [] 6948 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 6948 handle_unknown "ignore" 6948 n_values "auto" 6948 sparse false 6948 threshold 0.0 6949 C 1791.6818700934687 6953 cache_size 200 6953 class_weight null 6953 coef0 0.0 6953 decision_function_shape null 6953 degree 3 6953 gamma 0.000328941910358652 6953 kernel "rbf" 6953 max_iter -1 6953 probability true 6953 random_state 10638 6953 shrinking false 6953 tol 0.04424005017833882 6953 verbose false 6953 openml-pimp openml-python Sklearn_0.18.1. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 10888039 description https://api.openml.org/data/download/10888039/description.xml -1 10888040 predictions https://api.openml.org/data/download/10888040/predictions.arff area_under_roc_curve 0.9830208333333333 [1,0.970425,0.997117,0.994825,0.976661,0.995656,0.953647,0.991575,0.999406,0.950897] average_cost 0 f_measure 0.8339037613101201 [0.997506,0.776942,0.952618,0.894602,0.815,0.927681,0.560411,0.88361,0.979798,0.550868] kappa 0.8161111111111111 kb_relative_information_score 1669.9654413234978 mean_absolute_error 0.04803969348305379 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8340118643085475 [0.995025,0.778894,0.950249,0.920635,0.815,0.925373,0.57672,0.841629,0.989796,0.546798] predictive_accuracy 0.8345 prior_entropy 3.321928094887362 recall 0.8345 [1,0.775,0.955,0.87,0.815,0.93,0.545,0.93,0.97,0.555] relative_absolute_error 0.26688718601695727 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.1474799638620748 root_relative_squared_error 0.49159987954024176 total_cost 0 area_under_roc_curve 0.9822222222222223 [1,0.983056,0.999167,0.998889,0.975556,1,0.929167,0.993056,1,0.943333] area_under_roc_curve 0.9832222222222222 [1,0.967778,0.998889,0.994722,0.961389,0.993611,0.963889,0.989722,1,0.962222] area_under_roc_curve 0.9806944444444445 [1,0.972778,1,0.983611,0.9825,0.996667,0.921944,0.984444,1,0.965] area_under_roc_curve 0.9891388888888889 [1,0.982222,0.998333,0.999722,0.9925,0.998056,0.972778,0.993889,0.998333,0.955556] area_under_roc_curve 0.9824722222222223 [1,0.968056,0.998056,0.984722,0.976111,0.993333,0.961667,0.994444,1,0.948333] area_under_roc_curve 0.9855277777777778 [1,0.968611,0.998611,0.997778,0.985,0.9975,0.963611,0.9925,1,0.951667] area_under_roc_curve 0.9868888888888889 [1,0.980833,0.993611,0.998889,0.985556,0.993056,0.973056,0.988056,1,0.955833] area_under_roc_curve 0.9840833333333333 [1,0.9375,0.994444,0.996111,0.978611,0.997778,0.9675,0.994722,0.998333,0.975833] area_under_roc_curve 0.9831111111111112 [1,0.976944,1,0.998611,0.983056,0.985556,0.958611,0.995833,1,0.9325] area_under_roc_curve 0.9788611111111112 [1,0.980278,0.990556,0.9975,0.961111,1,0.94,0.990278,0.996389,0.9325] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.7975575982683109 [1,0.782609,0.95,0.888889,0.837209,1,0.315789,0.842105,1,0.358974] f_measure 0.8356983174153367 [1,0.8,0.95,0.871795,0.789474,0.9,0.634146,0.837209,0.974359,0.6] f_measure 0.8269993185109464 [1,0.75,1,0.820513,0.837209,0.857143,0.514286,0.871795,1,0.619048] f_measure 0.8447864894089149 [1,0.789474,0.974359,0.952381,0.826087,0.923077,0.594595,0.842105,0.974359,0.571429] f_measure 0.8111649092136897 [1,0.702703,0.974359,0.85,0.769231,0.904762,0.540541,0.844444,0.97561,0.55] f_measure 0.8432621721453556 [1,0.820513,0.952381,0.894737,0.820513,0.926829,0.590909,0.952381,0.974359,0.5] f_measure 0.8353982511693064 [1,0.769231,0.947368,0.9,0.789474,0.926829,0.666667,0.869565,1,0.484848] f_measure 0.8547347591044041 [1,0.761905,0.95,0.923077,0.810811,0.923077,0.666667,0.930233,0.95,0.631579] f_measure 0.8679135811039279 [1,0.810811,0.97561,0.97561,0.871795,0.947368,0.529412,0.930233,1,0.638298] f_measure 0.8112414394409149 [0.97561,0.780488,0.857143,0.857143,0.789474,0.974359,0.5,0.909091,0.947368,0.521739] kappa 0.7777777777777778 kappa 0.8166666666666667 kappa 0.8111111111111111 kappa 0.8277777777777777 kappa 0.7944444444444444 kappa 0.8277777777777777 kappa 0.8222222222222222 kappa 0.8388888888888889 kappa 0.8555555555555555 kappa 0.788888888888889 kb_relative_information_score 167.62228606420888 kb_relative_information_score 165.55663397836122 kb_relative_information_score 164.87721507679052 kb_relative_information_score 168.97102777899684 kb_relative_information_score 164.18794586910283 kb_relative_information_score 169.86793317025516 kb_relative_information_score 168.02233971250385 kb_relative_information_score 167.81153784942103 kb_relative_information_score 169.69612983354648 kb_relative_information_score 163.35239199031292 mean_absolute_error 0.047647485271673916 mean_absolute_error 0.049824075871096614 mean_absolute_error 0.049870903852803704 mean_absolute_error 0.04591391370230644 mean_absolute_error 0.04994046580541002 mean_absolute_error 0.04522582423281297 mean_absolute_error 0.046762969276656456 mean_absolute_error 0.047731037710484696 mean_absolute_error 0.045232362122640354 mean_absolute_error 0.05224789698465291 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] precision 0.8015559662813668 [1,0.692308,0.95,1,0.782609,1,0.333333,0.888889,1,0.368421] precision 0.8379726490138389 [1,0.8,0.95,0.894737,0.833333,0.9,0.619048,0.782609,1,0.6] precision 0.8278541710006241 [1,0.75,1,0.842105,0.782609,0.818182,0.6,0.894737,1,0.590909] precision 0.850196415211895 [1,0.833333,1,0.909091,0.730769,0.947368,0.647059,0.888889,1,0.545455] precision 0.8118432176698431 [1,0.764706,1,0.85,0.789474,0.863636,0.588235,0.76,0.952381,0.55] precision 0.8455765360370623 [1,0.842105,0.909091,0.944444,0.842105,0.904762,0.541667,0.909091,1,0.5625] precision 0.8412184306921149 [1,0.789474,1,0.9,0.833333,0.904762,0.6,0.769231,1,0.615385] precision 0.8576958030976068 [1,0.727273,0.95,0.947368,0.882353,0.947368,0.636364,0.869565,0.95,0.666667] precision 0.8749829603847641 [1,0.882353,0.952381,0.952381,0.894737,1,0.642857,0.869565,1,0.555556] precision 0.8223172660672661 [0.952381,0.761905,0.818182,1,0.833333,1,0.5625,0.833333,1,0.461538] predictive_accuracy 0.8 predictive_accuracy 0.835 predictive_accuracy 0.83 predictive_accuracy 0.845 predictive_accuracy 0.815 predictive_accuracy 0.845 predictive_accuracy 0.84 predictive_accuracy 0.855 predictive_accuracy 0.87 predictive_accuracy 0.81 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 recall 0.8 [1,0.9,0.95,0.8,0.9,1,0.3,0.8,1,0.35] recall 0.835 [1,0.8,0.95,0.85,0.75,0.9,0.65,0.9,0.95,0.6] recall 0.83 [1,0.75,1,0.8,0.9,0.9,0.45,0.85,1,0.65] recall 0.845 [1,0.75,0.95,1,0.95,0.9,0.55,0.8,0.95,0.6] recall 0.815 [1,0.65,0.95,0.85,0.75,0.95,0.5,0.95,1,0.55] recall 0.845 [1,0.8,1,0.85,0.8,0.95,0.65,1,0.95,0.45] recall 0.84 [1,0.75,0.9,0.9,0.75,0.95,0.75,1,1,0.4] recall 0.855 [1,0.8,0.95,0.9,0.75,0.9,0.7,1,0.95,0.6] recall 0.87 [1,0.75,1,1,0.85,0.9,0.45,1,1,0.75] recall 0.81 [1,0.8,0.9,0.75,0.75,0.95,0.45,1,0.9,0.6] relative_absolute_error 0.26470825150929983 relative_absolute_error 0.27680042150609263 relative_absolute_error 0.2770605769600209 relative_absolute_error 0.2550772983461472 relative_absolute_error 0.2774470322522782 relative_absolute_error 0.2512545790711835 relative_absolute_error 0.25979427375920283 relative_absolute_error 0.2651724317249153 relative_absolute_error 0.2512909006813356 relative_absolute_error 0.29026609435918316 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_squared_error 0.14625247519782447 root_mean_squared_error 0.15344012013535405 root_mean_squared_error 0.15079484820881922 root_mean_squared_error 0.14297837931425775 root_mean_squared_error 0.1558499490524143 root_mean_squared_error 0.13998817907551953 root_mean_squared_error 0.14366098861637408 root_mean_squared_error 0.14627173564299817 root_mean_squared_error 0.13861985326606438 root_mean_squared_error 0.1557323868789647 root_relative_squared_error 0.4875082506594152 root_relative_squared_error 0.5114670671178472 root_relative_squared_error 0.5026494940293977 root_relative_squared_error 0.47659459771419277 root_relative_squared_error 0.5194998301747147 root_relative_squared_error 0.4666272635850654 root_relative_squared_error 0.47886996205458054 root_relative_squared_error 0.4875724521433275 root_relative_squared_error 0.4620661775535482 root_relative_squared_error 0.519107956263216 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 10178.426677999993 usercpu_time_millis 9502.746362000004 usercpu_time_millis 8369.496820999997 usercpu_time_millis 8367.852129999996 usercpu_time_millis 8570.850090999991 usercpu_time_millis 10386.535205000002 usercpu_time_millis 10580.467202000009 usercpu_time_millis 10440.828795000016 usercpu_time_millis 10681.566620000012 usercpu_time_millis 10334.784600999996 usercpu_time_millis_testing 101.53653199999724 usercpu_time_millis_testing 87.21533599999987 usercpu_time_millis_testing 83.47885100000241 usercpu_time_millis_testing 79.32153299999811 usercpu_time_millis_testing 105.60003999999878 usercpu_time_millis_testing 105.66933200000506 usercpu_time_millis_testing 103.78206500000431 usercpu_time_millis_testing 103.16196100001207 usercpu_time_millis_testing 105.18134900000575 usercpu_time_millis_testing 106.49690600000383 usercpu_time_millis_training 10076.890145999996 usercpu_time_millis_training 9415.531026000004 usercpu_time_millis_training 8286.017969999995 usercpu_time_millis_training 8288.530596999997 usercpu_time_millis_training 8465.250050999992 usercpu_time_millis_training 10280.865872999997 usercpu_time_millis_training 10476.685137000004 usercpu_time_millis_training 10337.666834000003 usercpu_time_millis_training 10576.385271000006 usercpu_time_millis_training 10228.287694999992