10366114 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) 8221467 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 C 1.0827206202000408 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.012405921979379314 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 34355 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 21653933 description https://api.openml.org/data/download/21653933/description.xml -1 21653934 predictions https://api.openml.org/data/download/21653934/predictions.arff area_under_roc_curve 0.692905808537665 [0.692906,0.692906] average_cost 0 f_measure 0.7496645211635006 [0.56917,0.84539] kappa 0.43435207956404465 kb_relative_information_score 0.4764013179559906 mean_absolute_error 0.22755741127348644 mean_prior_absolute_error 0.45300756784968915 number_of_instances 958 [332,626] precision 0.7835557158577203 [0.827586,0.760204] predictive_accuracy 0.7724425887265136 prior_entropy 0.9309543116818706 recall 0.7724425887265136 [0.433735,0.952077] relative_absolute_error 0.5023258493310458 root_mean_prior_squared_error 0.47587270721768155 root_mean_squared_error 0.47702978027947734 root_relative_squared_error 1.0024314759897892 total_cost 0 area_under_roc_curve 0.6883116883116883 [0.688312,0.688312] area_under_roc_curve 0.7265512265512264 [0.726551,0.726551] area_under_roc_curve 0.6875901875901876 [0.68759,0.68759] area_under_roc_curve 0.5974025974025974 [0.597403,0.597403] area_under_roc_curve 0.7647907647907647 [0.764791,0.764791] area_under_roc_curve 0.7193362193362193 [0.719336,0.719336] area_under_roc_curve 0.6456356736242884 [0.645636,0.645636] area_under_roc_curve 0.7699240986717267 [0.769924,0.769924] area_under_roc_curve 0.6324535679374389 [0.632454,0.632454] area_under_roc_curve 0.6959921798631477 [0.695992,0.695992] 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 0.7470774647887324 [0.56,0.84507] f_measure 0.7835054234459742 [0.627451,0.865248] f_measure 0.7422373422017103 [0.566038,0.834532] f_measure 0.6570945945945946 [0.363636,0.810811] f_measure 0.8192307692307693 [0.692308,0.885714] f_measure 0.7795151277294133 [0.612245,0.867133] f_measure 0.7002629004646613 [0.468085,0.827586] f_measure 0.8130441845354127 [0.701754,0.874074] f_measure 0.6855177158582731 [0.481481,0.794118] f_measure 0.7539273716205408 [0.571429,0.851064] kappa 0.4257748776508973 kappa 0.5080906148867315 kappa 0.41401273885350304 kappa 0.23156089193825044 kappa 0.5890850722311398 kappa 0.5000000000000001 kappa 0.338478500551268 kappa 0.5823950870010234 kappa 0.28952991452991456 kappa 0.44567935537649334 kb_relative_information_score 0.4712438642917844 kb_relative_information_score 0.5433469737065408 kb_relative_information_score 0.4472094944868656 kb_relative_information_score 0.32703764546227143 kb_relative_information_score 0.6154500831212973 kb_relative_information_score 0.5433469737065408 kb_relative_information_score 0.40523314019012174 kb_relative_information_score 0.5955585353292824 kb_relative_information_score 0.32236499529754403 kb_relative_information_score 0.49177374647315775 mean_absolute_error 0.22916666666666666 mean_absolute_error 0.19791666666666666 mean_absolute_error 0.23958333333333334 mean_absolute_error 0.2916666666666667 mean_absolute_error 0.16666666666666666 mean_absolute_error 0.19791666666666666 mean_absolute_error 0.2604166666666667 mean_absolute_error 0.17708333333333334 mean_absolute_error 0.29473684210526313 mean_absolute_error 0.22105263157894736 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 0.781505956813105 [0.823529,0.759494] precision 0.8187767094017094 [0.888889,0.782051] precision 0.7586348684210527 [0.75,0.763158] precision 0.7132352941176471 [0.727273,0.705882] precision 0.854066985645933 [0.947368,0.805195] precision 0.8308593750000001 [0.9375,0.775] precision 0.7665469570590053 [0.846154,0.722892] precision 0.8299459003375026 [0.869565,0.808219] precision 0.6912822597033124 [0.619048,0.72973] precision 0.7996169220519654 [0.875,0.759494] predictive_accuracy 0.7708333333333333 predictive_accuracy 0.8020833333333333 predictive_accuracy 0.7604166666666667 predictive_accuracy 0.7083333333333333 predictive_accuracy 0.8333333333333333 predictive_accuracy 0.8020833333333333 predictive_accuracy 0.7395833333333333 predictive_accuracy 0.8229166666666667 predictive_accuracy 0.7052631578947368 predictive_accuracy 0.7789473684210526 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 0.7708333333333334 [0.424242,0.952381] recall 0.8020833333333334 [0.484848,0.968254] recall 0.7604166666666666 [0.454545,0.920635] recall 0.7083333333333334 [0.242424,0.952381] recall 0.8333333333333334 [0.545455,0.984127] recall 0.8020833333333334 [0.454545,0.984127] recall 0.7395833333333334 [0.323529,0.967742] recall 0.8229166666666666 [0.588235,0.951613] recall 0.7052631578947368 [0.393939,0.870968] recall 0.7789473684210526 [0.424242,0.967742] relative_absolute_error 0.5068394528437716 relative_absolute_error 0.4377249820014392 relative_absolute_error 0.529877609791216 relative_absolute_error 0.6450683945284368 relative_absolute_error 0.3686105111591067 relative_absolute_error 0.4377249820014392 relative_absolute_error 0.5719187875321696 relative_absolute_error 0.3889047755218754 relative_absolute_error 0.6502648958560119 relative_absolute_error 0.4876986718920089 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 0.47871355387816905 root_mean_squared_error 0.44487826050130463 root_mean_squared_error 0.48947250518628044 root_mean_squared_error 0.5400617248673217 root_mean_squared_error 0.408248290463863 root_mean_squared_error 0.44487826050130463 root_mean_squared_error 0.5103103630798288 root_mean_squared_error 0.4208127057650866 root_mean_squared_error 0.5428967140306369 root_mean_squared_error 0.47016234598162726 root_relative_squared_error 1.0078834459350312 root_relative_squared_error 0.9366466242352309 root_relative_squared_error 1.0305353404369075 root_relative_squared_error 1.1370458761136737 root_relative_squared_error 0.8595258907052391 root_relative_squared_error 0.9366466242352309 root_relative_squared_error 1.0668905000650017 root_relative_squared_error 0.8797804445472097 root_relative_squared_error 1.1402176789960312 root_relative_squared_error 0.9874574758546935 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 80.08151899997529 usercpu_time_millis 80.05643000001328 usercpu_time_millis 79.0872310000168 usercpu_time_millis 84.17833899994775 usercpu_time_millis 80.69035599999097 usercpu_time_millis 80.91999800001304 usercpu_time_millis 90.64109600001302 usercpu_time_millis 80.61394899999641 usercpu_time_millis 102.66129600000795 usercpu_time_millis 118.33626300000333 usercpu_time_millis_testing 7.841086999974323 usercpu_time_millis_testing 7.97110700000303 usercpu_time_millis_testing 7.928589000016473 usercpu_time_millis_testing 8.002857999997559 usercpu_time_millis_testing 8.128322999993998 usercpu_time_millis_testing 8.339740999986134 usercpu_time_millis_testing 8.063066000033814 usercpu_time_millis_testing 8.060139999997773 usercpu_time_millis_testing 13.052458999993632 usercpu_time_millis_testing 12.60216200000741 usercpu_time_millis_training 72.24043200000096 usercpu_time_millis_training 72.08532300001025 usercpu_time_millis_training 71.15864200000033 usercpu_time_millis_training 76.1754809999502 usercpu_time_millis_training 72.56203299999697 usercpu_time_millis_training 72.5802570000269 usercpu_time_millis_training 82.57802999997921 usercpu_time_millis_training 72.55380899999864 usercpu_time_millis_training 89.60883700001432 usercpu_time_millis_training 105.73410099999592 wall_clock_time_millis 80.09028434753418 wall_clock_time_millis 80.06930351257324 wall_clock_time_millis 79.09822463989258 wall_clock_time_millis 84.18679237365723 wall_clock_time_millis 80.71160316467285 wall_clock_time_millis 80.92999458312988 wall_clock_time_millis 90.6534194946289 wall_clock_time_millis 80.62338829040527 wall_clock_time_millis 102.69451141357422 wall_clock_time_millis 118.3478832244873 wall_clock_time_millis_testing 7.846355438232422 wall_clock_time_millis_testing 7.978200912475586 wall_clock_time_millis_testing 7.9345703125 wall_clock_time_millis_testing 8.00776481628418 wall_clock_time_millis_testing 8.134126663208008 wall_clock_time_millis_testing 8.346080780029297 wall_clock_time_millis_testing 8.069992065429688 wall_clock_time_millis_testing 8.06570053100586 wall_clock_time_millis_testing 13.079643249511719 wall_clock_time_millis_testing 12.609720230102539 wall_clock_time_millis_training 72.24392890930176 wall_clock_time_millis_training 72.09110260009766 wall_clock_time_millis_training 71.16365432739258 wall_clock_time_millis_training 76.17902755737305 wall_clock_time_millis_training 72.57747650146484 wall_clock_time_millis_training 72.58391380310059 wall_clock_time_millis_training 82.58342742919922 wall_clock_time_millis_training 72.55768775939941 wall_clock_time_millis_training 89.6148681640625 wall_clock_time_millis_training 105.73816299438477