10319526 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) 8175231 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 C 3.799484997724178 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.9654292525571357 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.050861485762035544 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 19694 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 21560738 description https://api.openml.org/data/download/21560738/description.xml -1 21560739 predictions https://api.openml.org/data/download/21560739/predictions.arff area_under_roc_curve 0.5864688787097272 [0.586469,0.586469] average_cost 0 f_measure 0.6240794895557827 [0.461997,0.71004] kappa 0.17208574123460094 kb_relative_information_score 0.13293979716566237 mean_absolute_error 0.3768267223382046 mean_prior_absolute_error 0.45300756784968915 number_of_instances 958 [332,626] precision 0.625049889896256 [0.457227,0.714055] predictive_accuracy 0.6231732776617954 prior_entropy 0.9309543116818706 recall 0.6231732776617954 [0.466867,0.70607] relative_absolute_error 0.8318331725160895 root_mean_prior_squared_error 0.47587270721768155 root_mean_squared_error 0.6138621362636766 root_relative_squared_error 1.2899713031511881 total_cost 0 area_under_roc_curve 0.5772005772005772 [0.577201,0.577201] area_under_roc_curve 0.5670995670995671 [0.5671,0.5671] area_under_roc_curve 0.562049062049062 [0.562049,0.562049] area_under_roc_curve 0.5007215007215007 [0.500722,0.500722] area_under_roc_curve 0.5988455988455988 [0.598846,0.598846] area_under_roc_curve 0.6233766233766234 [0.623377,0.623377] area_under_roc_curve 0.6238140417457304 [0.623814,0.623814] area_under_roc_curve 0.6408918406072106 [0.640892,0.640892] area_under_roc_curve 0.5630498533724341 [0.56305,0.56305] area_under_roc_curve 0.6063049853372434 [0.606305,0.606305] 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 0.6220703125000001 [0.4375,0.71875] f_measure 0.5917315620705452 [0.459459,0.661017] f_measure 0.6098883351790328 [0.412698,0.713178] f_measure 0.5551178660049628 [0.322581,0.676923] f_measure 0.6295667447306791 [0.485714,0.704918] f_measure 0.6640625 [0.5,0.75] f_measure 0.6671828723981146 [0.491803,0.763359] f_measure 0.6608006216185104 [0.547945,0.722689] f_measure 0.5782420653403421 [0.467532,0.637168] f_measure 0.648463678882245 [0.47619,0.740157] kappa 0.15666178623718893 kappa 0.12687585266030016 kappa 0.12684365781710924 kappa 0.0014858841010400344 kappa 0.19214586255259475 kappa 0.25036603221083453 kappa 0.25970149253731345 kappa 0.2727272727272727 kappa 0.11698027658127401 kappa 0.21722846441947566 kb_relative_information_score 0.13476268702292066 kb_relative_information_score 0.03862520780324542 kb_relative_information_score 0.11072831721800179 kb_relative_information_score -0.009443531806592298 kb_relative_information_score 0.1347626870229207 kb_relative_information_score 0.23090016624259604 kb_relative_information_score 0.26248909383575114 kb_relative_information_score 0.21490774505096102 kb_relative_information_score 0.007748743114261556 kb_relative_information_score 0.2013587444578199 mean_absolute_error 0.375 mean_absolute_error 0.4166666666666667 mean_absolute_error 0.3854166666666667 mean_absolute_error 0.4375 mean_absolute_error 0.375 mean_absolute_error 0.3333333333333333 mean_absolute_error 0.3229166666666667 mean_absolute_error 0.34375 mean_absolute_error 0.43157894736842106 mean_absolute_error 0.3473684210526316 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 0.6196650124069479 [0.451613,0.707692] precision 0.6078713968957871 [0.414634,0.709091] precision 0.6063446969696971 [0.433333,0.69697] precision 0.5495046320123521 [0.344828,0.656716] precision 0.6362230874942739 [0.459459,0.728814] precision 0.6620347394540943 [0.516129,0.738462] precision 0.6647544283413849 [0.555556,0.724638] precision 0.6688315339631129 [0.512821,0.754386] precision 0.6027863777089784 [0.409091,0.705882] precision 0.645587044534413 [0.5,0.723077] predictive_accuracy 0.625 predictive_accuracy 0.5833333333333334 predictive_accuracy 0.6145833333333334 predictive_accuracy 0.5625 predictive_accuracy 0.625 predictive_accuracy 0.6666666666666667 predictive_accuracy 0.6770833333333333 predictive_accuracy 0.65625 predictive_accuracy 0.5684210526315789 predictive_accuracy 0.6526315789473683 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 0.625 [0.424242,0.730159] recall 0.5833333333333334 [0.515152,0.619048] recall 0.6145833333333334 [0.393939,0.730159] recall 0.5625 [0.30303,0.698413] recall 0.625 [0.515152,0.68254] recall 0.6666666666666666 [0.484848,0.761905] recall 0.6770833333333334 [0.441176,0.806452] recall 0.65625 [0.588235,0.693548] recall 0.5684210526315789 [0.545455,0.580645] recall 0.6526315789473685 [0.454545,0.758065] relative_absolute_error 0.8293736501079901 relative_absolute_error 0.9215262778977669 relative_absolute_error 0.8524118070554344 relative_absolute_error 0.9676025917926552 relative_absolute_error 0.8293736501079901 relative_absolute_error 0.7372210223182134 relative_absolute_error 0.7091792965398905 relative_absolute_error 0.754932799542464 relative_absolute_error 0.9521735975034461 relative_absolute_error 0.7663836272588712 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 0.6123724356957945 root_mean_squared_error 0.6454972243679028 root_mean_squared_error 0.6208193510729725 root_mean_squared_error 0.6614378277661477 root_mean_squared_error 0.6123724356957945 root_mean_squared_error 0.5773502691896257 root_mean_squared_error 0.568257570707744 root_mean_squared_error 0.5863019699779287 root_mean_squared_error 0.6569466853317864 root_mean_squared_error 0.5893796917545019 root_relative_squared_error 1.2892888360578587 root_relative_squared_error 1.3590297612567528 root_relative_squared_error 1.307072970450758 root_relative_squared_error 1.3925911053071778 root_relative_squared_error 1.2892888360578587 root_relative_squared_error 1.2155531718461638 root_relative_squared_error 1.1880389810607634 root_relative_squared_error 1.2257638629239376 root_relative_squared_error 1.3797508907576002 root_relative_squared_error 1.237843454955579 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 59.948833000021295 usercpu_time_millis 59.71324999995886 usercpu_time_millis 66.80323299997326 usercpu_time_millis 59.99122200000784 usercpu_time_millis 59.155708000048435 usercpu_time_millis 58.56802100004188 usercpu_time_millis 56.52444800000467 usercpu_time_millis 59.35886300005677 usercpu_time_millis 63.7290849999772 usercpu_time_millis 64.37872300000436 usercpu_time_millis_testing 6.961430000046676 usercpu_time_millis_testing 6.472422999991068 usercpu_time_millis_testing 6.812730999968153 usercpu_time_millis_testing 6.711784000003718 usercpu_time_millis_testing 6.76636800005781 usercpu_time_millis_testing 6.8876860000273155 usercpu_time_millis_testing 6.398138000008657 usercpu_time_millis_testing 6.898041999988891 usercpu_time_millis_testing 6.66804399998 usercpu_time_millis_testing 6.417500999987169 usercpu_time_millis_training 52.98740299997462 usercpu_time_millis_training 53.240826999967794 usercpu_time_millis_training 59.99050200000511 usercpu_time_millis_training 53.27943800000412 usercpu_time_millis_training 52.389339999990625 usercpu_time_millis_training 51.680335000014566 usercpu_time_millis_training 50.12630999999601 usercpu_time_millis_training 52.46082100006788 usercpu_time_millis_training 57.0610409999972 usercpu_time_millis_training 57.96122200001719 wall_clock_time_millis 60.068607330322266 wall_clock_time_millis 60.089826583862305 wall_clock_time_millis 66.8792724609375 wall_clock_time_millis 60.00971794128418 wall_clock_time_millis 59.172868728637695 wall_clock_time_millis 58.58254432678223 wall_clock_time_millis 56.54311180114746 wall_clock_time_millis 59.411048889160156 wall_clock_time_millis 63.845157623291016 wall_clock_time_millis 64.46480751037598 wall_clock_time_millis_testing 6.9713592529296875 wall_clock_time_millis_testing 6.481409072875977 wall_clock_time_millis_testing 6.820440292358398 wall_clock_time_millis_testing 6.722927093505859 wall_clock_time_millis_testing 6.776571273803711 wall_clock_time_millis_testing 6.896018981933594 wall_clock_time_millis_testing 6.407499313354492 wall_clock_time_millis_testing 6.907939910888672 wall_clock_time_millis_testing 6.67572021484375 wall_clock_time_millis_testing 6.434202194213867 wall_clock_time_millis_training 53.09724807739258 wall_clock_time_millis_training 53.60841751098633 wall_clock_time_millis_training 60.0588321685791 wall_clock_time_millis_training 53.28679084777832 wall_clock_time_millis_training 52.396297454833984 wall_clock_time_millis_training 51.68652534484863 wall_clock_time_millis_training 50.13561248779297 wall_clock_time_millis_training 52.503108978271484 wall_clock_time_millis_training 57.169437408447266 wall_clock_time_millis_training 58.03060531616211