10424567 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) 8255899 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 C 81.8664880584341 13389 cache_size 200 13389 class_weight null 13389 coef0 0.1339044447397313 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 0.6339071538529285 13389 kernel "rbf" 13389 max_iter -1 13389 probability true 13389 random_state 1 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 21771649 description https://api.openml.org/data/download/21771649/description.xml -1 21771650 predictions https://api.openml.org/data/download/21771650/predictions.arff area_under_roc_curve 0.9993696832056662 [0.99937,0.99937] average_cost 0 f_measure 0.9832985386221295 [0.975904,0.98722] kappa 0.9631240617421765 kb_relative_information_score 0.9558777841203892 mean_absolute_error 0.020857041152243308 mean_prior_absolute_error 0.45300756784968915 weighted_recall 0.9832985386221295 [0.975904,0.98722] number_of_instances 958 [332,626] precision 0.9832985386221295 [0.975904,0.98722] predictive_accuracy 0.9832985386221295 prior_entropy 0.9309543116818706 relative_absolute_error 0.04604126428007889 root_mean_prior_squared_error 0.47587270721768155 root_mean_squared_error 0.09852432709580257 root_relative_squared_error 0.207039247263941 total_cost 0 unweighted_recall 0.9815620308710882 [0.975904,0.98722] area_under_roc_curve 0.9980759980759982 [0.998076,0.998076] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9980759980759982 [0.998076,0.998076] area_under_roc_curve 0.9995189995189996 [0.999519,0.999519] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9995256166982922 [0.999526,0.999526] area_under_roc_curve 0.9990512333965844 [0.999051,0.999051] area_under_roc_curve 0.9995112414467253 [0.999511,0.999511] area_under_roc_curve 1 [1,1] 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 0.9686326468806783 [0.953846,0.976378] f_measure 0.9896194029850746 [0.985075,0.992] f_measure 1 [1,1] f_measure 0.9686326468806783 [0.953846,0.976378] f_measure 0.9791666666666666 [0.969697,0.984127] f_measure 0.9896194029850746 [0.985075,0.992] f_measure 0.989547263681592 [0.985075,0.992] f_measure 0.9791666666666666 [0.970588,0.983871] f_measure 0.9789473684210527 [0.969697,0.983871] f_measure 0.9895094489043869 [0.985075,0.99187] kappa 0.9302325581395349 kappa 0.9770773638968482 kappa 1 kappa 0.9302325581395349 kappa 0.9538239538239538 kappa 0.9770773638968482 kappa 0.9770773638968482 kappa 0.954459203036053 kappa 0.9535679374389053 kappa 0.9769473428779422 kb_relative_information_score 0.928228881585587 kb_relative_information_score 0.9724224653086364 kb_relative_information_score 0.9841073785670552 kb_relative_information_score 0.9265304733330468 kb_relative_information_score 0.9538600814988136 kb_relative_information_score 0.9635472033499728 kb_relative_information_score 0.9637462525975208 kb_relative_information_score 0.9423900069368382 kb_relative_information_score 0.9509599406045254 kb_relative_information_score 0.9731277542874416 mean_absolute_error 0.03203575698531595 mean_absolute_error 0.012978809804708974 mean_absolute_error 0.008994735533944311 mean_absolute_error 0.03361428321963094 mean_absolute_error 0.02218929765014777 mean_absolute_error 0.01697540751955204 mean_absolute_error 0.016917598893795998 mean_absolute_error 0.027270525158267948 mean_absolute_error 0.02397917699974459 mean_absolute_error 0.013571450435773073 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 0.96875 [0.96875,0.96875] precision 0.9898897058823529 [0.970588,1] precision 1 [1,1] precision 0.96875 [0.96875,0.96875] precision 0.9791666666666666 [0.969697,0.984127] precision 0.9898897058823529 [0.970588,1] precision 0.9897486772486772 [1,0.984127] precision 0.9791666666666666 [0.970588,0.983871] precision 0.9789473684210527 [0.969697,0.983871] precision 0.9897832817337462 [0.970588,1] predictive_accuracy 0.96875 predictive_accuracy 0.9895833333333333 predictive_accuracy 1 predictive_accuracy 0.96875 predictive_accuracy 0.9791666666666667 predictive_accuracy 0.9895833333333333 predictive_accuracy 0.9895833333333333 predictive_accuracy 0.9791666666666667 predictive_accuracy 0.9789473684210526 predictive_accuracy 0.9894736842105263 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 relative_absolute_error 0.07085230054635742 relative_absolute_error 0.02870475429810361 relative_absolute_error 0.01989332437744916 relative_absolute_error 0.07434346871901087 relative_absolute_error 0.04907525009449521 relative_absolute_error 0.03754388185749733 relative_absolute_error 0.03715389176561426 relative_absolute_error 0.05989065862610739 relative_absolute_error 0.05290420065260429 relative_absolute_error 0.029942092550076266 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 0.14291626714538197 root_mean_squared_error 0.07815942879594891 root_mean_squared_error 0.03897087011233364 root_mean_squared_error 0.14134025104240067 root_mean_squared_error 0.09642604199088772 root_mean_squared_error 0.09200082873581204 root_mean_squared_error 0.08209305560172511 root_mean_squared_error 0.11102218758945862 root_mean_squared_error 0.09214813897112421 root_mean_squared_error 0.06038437354361242 root_relative_squared_error 0.3008958878304864 root_relative_squared_error 0.16455684989279162 root_relative_squared_error 0.08204926420341441 root_relative_squared_error 0.29757774375904 root_relative_squared_error 0.2030153746271105 root_relative_squared_error 0.19369853129065018 root_relative_squared_error 0.17162947782247476 root_relative_squared_error 0.23211074241323768 root_relative_squared_error 0.19353393458839338 root_relative_squared_error 0.12682215322018262 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 unweighted_recall 0.9617604617604618 [0.939394,0.984127] unweighted_recall 0.9920634920634921 [1,0.984127] unweighted_recall 1 [1,1] unweighted_recall 0.9617604617604618 [0.939394,0.984127] unweighted_recall 0.976911976911977 [0.969697,0.984127] unweighted_recall 0.9920634920634921 [1,0.984127] unweighted_recall 0.9852941176470589 [0.970588,1] unweighted_recall 0.9772296015180266 [0.970588,0.983871] unweighted_recall 0.9767839687194526 [0.969697,0.983871] unweighted_recall 0.9919354838709677 [1,0.983871] usercpu_time_millis 457.93653700002324 usercpu_time_millis 473.3751960000063 usercpu_time_millis 438.5804940000071 usercpu_time_millis 451.32881899996846 usercpu_time_millis 456.09871999999996 usercpu_time_millis 454.1800320000675 usercpu_time_millis 451.1536550000983 usercpu_time_millis 463.6335229999986 usercpu_time_millis 460.77358000013646 usercpu_time_millis 458.2814639999242 usercpu_time_millis_testing 9.91735900004187 usercpu_time_millis_testing 9.990548000018862 usercpu_time_millis_testing 10.343852999994851 usercpu_time_millis_testing 10.385798000015711 usercpu_time_millis_testing 10.498794000000089 usercpu_time_millis_testing 10.310273000072812 usercpu_time_millis_testing 10.330215000067255 usercpu_time_millis_testing 10.830202999954963 usercpu_time_millis_testing 10.40154200006782 usercpu_time_millis_testing 10.549236999963796 usercpu_time_millis_training 448.01917799998137 usercpu_time_millis_training 463.38464799998746 usercpu_time_millis_training 428.23664100001224 usercpu_time_millis_training 440.94302099995275 usercpu_time_millis_training 445.59992599999987 usercpu_time_millis_training 443.8697589999947 usercpu_time_millis_training 440.82344000003104 usercpu_time_millis_training 452.80332000004364 usercpu_time_millis_training 450.37203800006864 usercpu_time_millis_training 447.7322269999604 wall_clock_time_millis 457.97133445739746 wall_clock_time_millis 473.4041690826416 wall_clock_time_millis 438.5857582092285 wall_clock_time_millis 451.3430595397949 wall_clock_time_millis 456.1045169830322 wall_clock_time_millis 454.2088508605957 wall_clock_time_millis 451.1573314666748 wall_clock_time_millis 463.64831924438477 wall_clock_time_millis 460.77775955200195 wall_clock_time_millis 458.2967758178711 wall_clock_time_millis_testing 9.91964340209961 wall_clock_time_millis_testing 9.992599487304688 wall_clock_time_millis_testing 10.346412658691406 wall_clock_time_millis_testing 10.38813591003418 wall_clock_time_millis_testing 10.500907897949219 wall_clock_time_millis_testing 10.31351089477539 wall_clock_time_millis_testing 10.332345962524414 wall_clock_time_millis_testing 10.832786560058594 wall_clock_time_millis_testing 10.404109954833984 wall_clock_time_millis_testing 10.552167892456055 wall_clock_time_millis_training 448.05169105529785 wall_clock_time_millis_training 463.4115695953369 wall_clock_time_millis_training 428.2393455505371 wall_clock_time_millis_training 440.95492362976074 wall_clock_time_millis_training 445.603609085083 wall_clock_time_millis_training 443.8953399658203 wall_clock_time_millis_training 440.8249855041504 wall_clock_time_millis_training 452.8155326843262 wall_clock_time_millis_training 450.37364959716797 wall_clock_time_millis_training 447.74460792541504 weighted_recall 0.96875 [0.939394,0.984127] weighted_recall 0.9895833333333334 [1,0.984127] weighted_recall 1 [1,1] weighted_recall 0.96875 [0.939394,0.984127] weighted_recall 0.9791666666666666 [0.969697,0.984127] weighted_recall 0.9895833333333334 [1,0.984127] weighted_recall 0.9895833333333334 [0.970588,1] weighted_recall 0.9791666666666666 [0.970588,0.983871] weighted_recall 0.9789473684210527 [0.969697,0.983871] weighted_recall 0.9894736842105263 [1,0.983871]