10319448 8323 Heinrich Peters 49 Supervised Classification 16347 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder,svc=sklearn.svm.classes.SVC)(1) 8175153 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 C 20.27191464739306 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.9300826105431621 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 0.0007702133768493733 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 19196 13389 shrinking true 13389 tol 0.001 13389 verbose false 13389 memory null 16347 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}] 16347 verbose false 16347 categorical_features null 16348 categories null 16348 drop null 16348 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 16348 handle_unknown "ignore" 16348 n_values null 16348 sparse true 16348 openml-python Sklearn_0.21.2. 50 tic-tac-toe https://www.openml.org/data/download/50/dataset_50_tic-tac-toe.arff -1 21560582 description https://api.openml.org/data/download/21560582/description.xml -1 21560583 predictions https://api.openml.org/data/download/21560583/predictions.arff area_under_roc_curve 0.6993388891027368 [0.699339,0.699339] average_cost 0 f_measure 0.7500538736449148 [0.588665,0.835646] kappa 0.4346466771230584 kb_relative_information_score 0.45958851623898156 mean_absolute_error 0.2348643006263048 mean_prior_absolute_error 0.45300756784968915 number_of_instances 958 [332,626] precision 0.7625691807487285 [0.748837,0.769852] predictive_accuracy 0.7651356993736953 prior_entropy 0.9309543116818706 recall 0.7651356993736952 [0.48494,0.913738] relative_absolute_error 0.5184555784380059 root_mean_prior_squared_error 0.47587270721768155 root_mean_squared_error 0.48462800231342884 root_relative_squared_error 1.0183983972246222 total_cost 0 area_under_roc_curve 0.6782106782106783 [0.678211,0.678211] area_under_roc_curve 0.7417027417027419 [0.741703,0.741703] area_under_roc_curve 0.6940836940836941 [0.694084,0.694084] area_under_roc_curve 0.6125541125541125 [0.612554,0.612554] area_under_roc_curve 0.7481962481962482 [0.748196,0.748196] area_under_roc_curve 0.7344877344877346 [0.734488,0.734488] area_under_roc_curve 0.6897533206831118 [0.689753,0.689753] area_under_roc_curve 0.7912713472485767 [0.791271,0.791271] area_under_roc_curve 0.583088954056696 [0.583089,0.583089] area_under_roc_curve 0.7182306940371457 [0.718231,0.718231] 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 0.721780303030303 [0.566667,0.80303] f_measure 0.7966346153846153 [0.653846,0.871429] f_measure 0.7402213072568192 [0.586207,0.820896] f_measure 0.6732142857142858 [0.4,0.816327] f_measure 0.7930555555555555 [0.666667,0.859259] f_measure 0.7930633802816901 [0.64,0.873239] f_measure 0.7441079812206572 [0.56,0.84507] f_measure 0.8272727272727273 [0.733333,0.878788] f_measure 0.6271584472993509 [0.444444,0.724409] f_measure 0.7718124743296367 [0.615385,0.855072] kappa 0.37254901960784303 kappa 0.5377207062600321 kappa 0.41194486983154677 kappa 0.2653061224489796 kappa 0.5308641975308643 kappa 0.530179445350734 kappa 0.4310344827586208 kappa 0.6152304609218437 kappa 0.1697877652933831 kappa 0.4845360824742268 kb_relative_information_score 0.3751063850721089 kb_relative_information_score 0.5673813435114596 kb_relative_information_score 0.42317512468194685 kb_relative_information_score 0.35107201526719023 kb_relative_information_score 0.5433469737065408 kb_relative_information_score 0.5673813435114596 kb_relative_information_score 0.47660516336730696 kb_relative_information_score 0.6193492097216775 kb_relative_information_score 0.15295624412193023 kb_relative_information_score 0.5159749966411026 mean_absolute_error 0.2708333333333333 mean_absolute_error 0.1875 mean_absolute_error 0.25 mean_absolute_error 0.28125 mean_absolute_error 0.19791666666666666 mean_absolute_error 0.1875 mean_absolute_error 0.22916666666666666 mean_absolute_error 0.16666666666666666 mean_absolute_error 0.3684210526315789 mean_absolute_error 0.21052631578947367 mean_prior_absolute_error 0.45214843750000067 mean_prior_absolute_error 0.45214843750000067 mean_prior_absolute_error 0.45214843750000067 mean_prior_absolute_error 0.45214843750000067 mean_prior_absolute_error 0.45214843750000067 mean_prior_absolute_error 0.45214843750000067 mean_prior_absolute_error 0.4553385416666673 mean_prior_absolute_error 0.4553385416666673 mean_prior_absolute_error 0.45325657894736904 mean_prior_absolute_error 0.45325657894736904 number_of_instances 96 [33,63] number_of_instances 96 [33,63] number_of_instances 96 [33,63] number_of_instances 96 [33,63] number_of_instances 96 [33,63] number_of_instances 96 [33,63] number_of_instances 96 [34,62] number_of_instances 96 [34,62] number_of_instances 95 [33,62] number_of_instances 95 [33,62] precision 0.720511272141707 [0.62963,0.768116] precision 0.8274521531100479 [0.894737,0.792208] precision 0.742112676056338 [0.68,0.774648] precision 0.7265625 [0.75,0.714286] precision 0.80078125 [0.791667,0.805556] precision 0.8385610573343261 [0.941176,0.78481] precision 0.7942708333333334 [0.875,0.75] precision 0.8347985347985348 [0.846154,0.828571] precision 0.6239676113360324 [0.466667,0.707692] precision 0.7991689750692521 [0.842105,0.776316] predictive_accuracy 0.7291666666666667 predictive_accuracy 0.8125 predictive_accuracy 0.75 predictive_accuracy 0.71875 predictive_accuracy 0.8020833333333333 predictive_accuracy 0.8125 predictive_accuracy 0.7708333333333333 predictive_accuracy 0.8333333333333333 predictive_accuracy 0.631578947368421 predictive_accuracy 0.7894736842105263 prior_entropy 0.9283932104014351 prior_entropy 0.9283932104014351 prior_entropy 0.9283932104014351 prior_entropy 0.9283932104014351 prior_entropy 0.9283932104014351 prior_entropy 0.9283932104014351 prior_entropy 0.9379030360861306 prior_entropy 0.9379030360861306 prior_entropy 0.9316966235340134 prior_entropy 0.9316966235340134 recall 0.7291666666666666 [0.515152,0.84127] recall 0.8125 [0.515152,0.968254] recall 0.75 [0.515152,0.873016] recall 0.71875 [0.272727,0.952381] recall 0.8020833333333334 [0.575758,0.920635] recall 0.8125 [0.484848,0.984127] recall 0.7708333333333334 [0.411765,0.967742] recall 0.8333333333333334 [0.647059,0.935484] recall 0.631578947368421 [0.424242,0.741935] recall 0.7894736842105263 [0.484848,0.951613] relative_absolute_error 0.5989920806335484 relative_absolute_error 0.41468682505399507 relative_absolute_error 0.5529157667386602 relative_absolute_error 0.6220302375809926 relative_absolute_error 0.4377249820014392 relative_absolute_error 0.41468682505399507 relative_absolute_error 0.5032885330283092 relative_absolute_error 0.3660280240205885 relative_absolute_error 0.8128311198200148 relative_absolute_error 0.46447492561143705 root_mean_prior_squared_error 0.47496916018305874 root_mean_prior_squared_error 0.47496916018305874 root_mean_prior_squared_error 0.47496916018305874 root_mean_prior_squared_error 0.47496916018305874 root_mean_prior_squared_error 0.47496916018305874 root_mean_prior_squared_error 0.47496916018305874 root_mean_prior_squared_error 0.4783155938203006 root_mean_prior_squared_error 0.4783155938203006 root_mean_prior_squared_error 0.4761342715793188 root_mean_prior_squared_error 0.4761342715793188 root_mean_squared_error 0.5204164998665332 root_mean_squared_error 0.4330127018922193 root_mean_squared_error 0.5 root_mean_squared_error 0.5303300858899106 root_mean_squared_error 0.44487826050130463 root_mean_squared_error 0.4330127018922193 root_mean_squared_error 0.47871355387816905 root_mean_squared_error 0.408248290463863 root_mean_squared_error 0.6069769786668839 root_mean_squared_error 0.45883146774112354 root_relative_squared_error 1.0956848222860587 root_relative_squared_error 0.911664878884623 root_relative_squared_error 1.0526999264695294 root_relative_squared_error 1.116556884841776 root_relative_squared_error 0.9366466242352309 root_relative_squared_error 0.911664878884623 root_relative_squared_error 1.0008320031021567 root_relative_squared_error 0.8535124000520014 root_relative_squared_error 1.27480211969108 root_relative_squared_error 0.9636598227201698 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 95.87521900004958 usercpu_time_millis 94.58864199996242 usercpu_time_millis 92.77767499997935 usercpu_time_millis 91.2313979999908 usercpu_time_millis 96.40804000002845 usercpu_time_millis 97.27849299997615 usercpu_time_millis 91.97759700009556 usercpu_time_millis 93.21866499988118 usercpu_time_millis 93.31695099990611 usercpu_time_millis 92.94543700002578 usercpu_time_millis_testing 9.887628000001314 usercpu_time_millis_testing 9.23022500001025 usercpu_time_millis_testing 9.15930999997272 usercpu_time_millis_testing 8.970922000003156 usercpu_time_millis_testing 10.965104000092651 usercpu_time_millis_testing 9.991150000018933 usercpu_time_millis_testing 8.878947000084736 usercpu_time_millis_testing 9.104445999923882 usercpu_time_millis_testing 8.985893999920336 usercpu_time_millis_testing 8.974374999979773 usercpu_time_millis_training 85.98759100004827 usercpu_time_millis_training 85.35841699995217 usercpu_time_millis_training 83.61836500000663 usercpu_time_millis_training 82.26047599998765 usercpu_time_millis_training 85.4429359999358 usercpu_time_millis_training 87.28734299995722 usercpu_time_millis_training 83.09865000001082 usercpu_time_millis_training 84.1142189999573 usercpu_time_millis_training 84.33105699998578 usercpu_time_millis_training 83.971062000046 wall_clock_time_millis 95.95966339111328 wall_clock_time_millis 95.85881233215332 wall_clock_time_millis 92.83685684204102 wall_clock_time_millis 91.27354621887207 wall_clock_time_millis 112.45608329772949 wall_clock_time_millis 153.3679962158203 wall_clock_time_millis 124.00364875793457 wall_clock_time_millis 93.30177307128906 wall_clock_time_millis 93.37353706359863 wall_clock_time_millis 93.04094314575195 wall_clock_time_millis_testing 9.900569915771484 wall_clock_time_millis_testing 10.049819946289062 wall_clock_time_millis_testing 9.171724319458008 wall_clock_time_millis_testing 8.982419967651367 wall_clock_time_millis_testing 11.013984680175781 wall_clock_time_millis_testing 10.012388229370117 wall_clock_time_millis_testing 8.888006210327148 wall_clock_time_millis_testing 9.136676788330078 wall_clock_time_millis_testing 8.996725082397461 wall_clock_time_millis_testing 8.986711502075195 wall_clock_time_millis_training 86.0590934753418 wall_clock_time_millis_training 85.80899238586426 wall_clock_time_millis_training 83.66513252258301 wall_clock_time_millis_training 82.2911262512207 wall_clock_time_millis_training 101.44209861755371 wall_clock_time_millis_training 143.3556079864502 wall_clock_time_millis_training 115.11564254760742 wall_clock_time_millis_training 84.16509628295898 wall_clock_time_millis_training 84.37681198120117 wall_clock_time_millis_training 84.05423164367676