10558928 8323 Heinrich Peters 146195 Supervised Classification 18608 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2) 8275898 add_indicator false 17407 copy true 17407 fill_value null 17407 missing_values NaN 17407 strategy "most_frequent" 17407 verbose 0 17407 categorical_features null 17408 categories null 17408 drop null 17408 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 17408 handle_unknown "ignore" 17408 n_values null 17408 sparse true 17408 C 0.1 17462 class_weight null 17462 dual false 17462 fit_intercept true 17462 intercept_scaling 1 17462 l1_ratio null 17462 max_iter 10000 17462 multi_class "auto" 17462 n_jobs null 17462 penalty "l2" 17462 random_state 1 17462 solver "lbfgs" 17462 tol 0.0001 17462 verbose 0 17462 warm_start false 17462 memory null 18608 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": "logisticregression", "step_name": "logisticregression"}}] 18608 verbose false 18608 openml-python Sklearn_0.21.2. 40668 connect-4 https://www.openml.org/data/download/4965243/connect-4.arff -1 22042820 description https://api.openml.org/data/download/22042820/description.xml -1 22042821 predictions https://api.openml.org/data/download/22042821/predictions.arff area_under_roc_curve 0.8552314120452733 [0.75048,0.878825,0.861596] average_cost 0 f_measure 0.7158916619965756 [0.007685,0.64216,0.846167] kappa 0.44474637275237133 kb_relative_information_score 0.3407251414626462 mean_absolute_error 0.22725623030730996 mean_prior_absolute_error 0.3312661139316681 weighted_recall 0.7570792071880043 [0.003877,0.622723,0.916556] number_of_instances 67557 [6449,16635,44473] precision 0.7223932844410876 [0.438596,0.662849,0.785819] predictive_accuracy 0.7570792071880043 prior_entropy 1.2184443574876134 relative_absolute_error 0.6860231721563506 root_mean_prior_squared_error 0.4069773263039227 root_mean_squared_error 0.33607433595055347 root_relative_squared_error 0.8257814728960594 total_cost 0 unweighted_recall 0.5143852855797015 [0.003877,0.622723,0.916556] area_under_roc_curve 0.8573243575384524 [0.744433,0.882829,0.864159] area_under_roc_curve 0.8585544511180094 [0.740642,0.885322,0.865645] area_under_roc_curve 0.8579209363718943 [0.756243,0.881888,0.863704] area_under_roc_curve 0.8524647652315372 [0.750389,0.874699,0.85895] area_under_roc_curve 0.8606135932537688 [0.748506,0.888135,0.866576] area_under_roc_curve 0.8519599574871684 [0.76023,0.874151,0.856961] area_under_roc_curve 0.8510109384937022 [0.75804,0.874296,0.855783] area_under_roc_curve 0.8597597949641412 [0.764289,0.878602,0.866535] area_under_roc_curve 0.8485517867843075 [0.747057,0.870331,0.855128] area_under_roc_curve 0.8543414931570541 [0.735587,0.878277,0.862615] 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 0.7164519359810414 [0.006135,0.643081,0.846886] f_measure 0.7177147662579477 [0.006126,0.645748,0.847808] f_measure 0.7225828999824763 [0.003091,0.658657,0.850816] f_measure 0.7127159829842514 [0,0.633437,0.845755] f_measure 0.7196973369279817 [0.003082,0.655183,0.847777] f_measure 0.7125282742481824 [0.003072,0.638948,0.842961] f_measure 0.7159107115158011 [0.018433,0.642987,0.844361] f_measure 0.7154258851856268 [0.006173,0.63659,0.847637] f_measure 0.7098164751068968 [0.015314,0.624729,0.842368] f_measure 0.7160611221838832 [0.015291,0.642345,0.845269] kappa 0.4447952915672366 kappa 0.4474172336363323 kappa 0.46179192686690845 kappa 0.43872509988888886 kappa 0.45258431811262984 kappa 0.43920488077028497 kappa 0.4463477963317684 kappa 0.44350964953666766 kappa 0.4298445687367673 kappa 0.4432781914038742 kb_relative_information_score 0.3427065550076337 kb_relative_information_score 0.3454367449067835 kb_relative_information_score 0.34926325815754033 kb_relative_information_score 0.33600202594017703 kb_relative_information_score 0.3482047805178836 kb_relative_information_score 0.33600111601658633 kb_relative_information_score 0.33440278365307763 kb_relative_information_score 0.3465882792280414 kb_relative_information_score 0.3320349798384363 kb_relative_information_score 0.33661278526491833 mean_absolute_error 0.22616993602993812 mean_absolute_error 0.22502892176605632 mean_absolute_error 0.22489849546540314 mean_absolute_error 0.22928965926348283 mean_absolute_error 0.22480128077898928 mean_absolute_error 0.22906450375033194 mean_absolute_error 0.23004491449426165 mean_absolute_error 0.22609413247884527 mean_absolute_error 0.22954396551455608 mean_absolute_error 0.2276267149821051 mean_prior_absolute_error 0.33124674360604567 mean_prior_absolute_error 0.33124674360604567 mean_prior_absolute_error 0.33124674360604567 mean_prior_absolute_error 0.33128740361684467 mean_prior_absolute_error 0.33128740361684467 mean_prior_absolute_error 0.33128740361684467 mean_prior_absolute_error 0.33128740361684467 mean_prior_absolute_error 0.33124717680195626 mean_prior_absolute_error 0.33126205661307934 mean_prior_absolute_error 0.33126205661307934 number_of_instances 6756 [645,1663,4448] number_of_instances 6756 [645,1663,4448] number_of_instances 6756 [645,1663,4448] number_of_instances 6756 [645,1664,4447] number_of_instances 6756 [645,1664,4447] number_of_instances 6756 [645,1664,4447] number_of_instances 6756 [645,1664,4447] number_of_instances 6755 [644,1664,4447] number_of_instances 6755 [645,1663,4447] number_of_instances 6755 [645,1663,4447] precision 0.7088282481597458 [0.285714,0.670803,0.7844] precision 0.7067890971214709 [0.25,0.675197,0.784839] precision 0.734959718942328 [0.5,0.6753,0.791336] precision 0.6778870015081908 [0,0.653257,0.785425] precision 0.7089403826551118 [0.25,0.684107,0.784798] precision 0.693393105771065 [0.166667,0.65028,0.785923] precision 0.7747457006164368 [1,0.649693,0.788867] precision 0.7278236859022299 [0.5,0.66,0.786195] precision 0.7335259320179677 [0.625,0.644501,0.782558] precision 0.7333606896500482 [0.555556,0.667098,0.783929] predictive_accuracy 0.7581409117821195 predictive_accuracy 0.7594730609828301 predictive_accuracy 0.7640615748963885 predictive_accuracy 0.7544404973357015 predictive_accuracy 0.7616933096506808 predictive_accuracy 0.7531083481349912 predictive_accuracy 0.7554766133806986 predictive_accuracy 0.7570688378978535 predictive_accuracy 0.7504071058475204 predictive_accuracy 0.7569207994078461 prior_entropy 1.2183532771387544 prior_entropy 1.2183532771387544 prior_entropy 1.2183532771387544 prior_entropy 1.218563261386341 prior_entropy 1.218563261386341 prior_entropy 1.218563261386341 prior_entropy 1.218563261386341 prior_entropy 1.2182419830738163 prior_entropy 1.21844434244087 prior_entropy 1.21844434244087 relative_absolute_error 0.6827838775644653 relative_absolute_error 0.6793392723391869 relative_absolute_error 0.6789455286928847 relative_absolute_error 0.6921170462873113 relative_absolute_error 0.6785687542741182 relative_absolute_error 0.6914374082730289 relative_absolute_error 0.6943968046558254 relative_absolute_error 0.6825541417792094 relative_absolute_error 0.6929376936842121 relative_absolute_error 0.6871499782058578 root_mean_prior_squared_error 0.40695352781344096 root_mean_prior_squared_error 0.40695352781344096 root_mean_prior_squared_error 0.40695352781344096 root_mean_prior_squared_error 0.4070034813249195 root_mean_prior_squared_error 0.4070034813249195 root_mean_prior_squared_error 0.4070034813249195 root_mean_prior_squared_error 0.4070034813249195 root_mean_prior_squared_error 0.40695406005557394 root_mean_prior_squared_error 0.40697234157475465 root_mean_prior_squared_error 0.40697234157475465 root_mean_squared_error 0.33433748673861974 root_mean_squared_error 0.33337786109348744 root_mean_squared_error 0.3340191063554547 root_mean_squared_error 0.3373561705114706 root_mean_squared_error 0.3326971494063502 root_mean_squared_error 0.3384311384314997 root_mean_squared_error 0.33897410549156387 root_mean_squared_error 0.33476091813165537 root_mean_squared_error 0.3398725606881797 root_mean_squared_error 0.3368306883122615 root_relative_squared_error 0.8215618341853754 root_relative_squared_error 0.8192037623674743 root_relative_squared_error 0.8207794834710919 root_relative_squared_error 0.8288778499222518 root_relative_squared_error 0.8174307215341753 root_relative_squared_error 0.8315190261513341 root_relative_squared_error 0.8328530861409358 root_relative_squared_error 0.8226012491089049 root_relative_squared_error 0.8351244690807822 root_relative_squared_error 0.8276500732430998 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 0.513616084366142 [0.003101,0.617559,0.920189] unweighted_recall 0.514541546642142 [0.003101,0.618761,0.921763] unweighted_recall 0.5214428691981877 [0.00155,0.642814,0.919964] unweighted_recall 0.5103022943297989 [0,0.614784,0.916123] unweighted_recall 0.5173003844848694 [0.00155,0.628606,0.921745] unweighted_recall 0.5128275206844392 [0.00155,0.628005,0.908927] unweighted_recall 0.5179911164927439 [0.009302,0.636418,0.908253] unweighted_recall 0.5124618445139087 [0.003106,0.614784,0.919496] unweighted_recall 0.5086536627418622 [0.007752,0.606133,0.912076] unweighted_recall 0.5147124158800344 [0.007752,0.619363,0.917023] usercpu_time_millis 24610.93400000027 usercpu_time_millis 25139.063999999053 usercpu_time_millis 21200.465999998414 usercpu_time_millis 29881.059999999707 usercpu_time_millis 22038.49199999968 usercpu_time_millis 28313.092000000324 usercpu_time_millis 44066.03600000017 usercpu_time_millis 20350.045999999566 usercpu_time_millis 19289.54000000158 usercpu_time_millis 23185.608000003413 usercpu_time_millis_testing 59.67400000008638 usercpu_time_millis_testing 60.971999999310356 usercpu_time_millis_testing 59.527999997953884 usercpu_time_millis_testing 59.67400000008638 usercpu_time_millis_testing 76.23999999850639 usercpu_time_millis_testing 63.704000000143424 usercpu_time_millis_testing 59.23600000096485 usercpu_time_millis_testing 49.053999999159714 usercpu_time_millis_testing 48.606000000290805 usercpu_time_millis_testing 48.20800000015879 usercpu_time_millis_training 24551.260000000184 usercpu_time_millis_training 25078.091999999742 usercpu_time_millis_training 21140.93800000046 usercpu_time_millis_training 29821.38599999962 usercpu_time_millis_training 21962.252000001172 usercpu_time_millis_training 28249.38800000018 usercpu_time_millis_training 44006.7999999992 usercpu_time_millis_training 20300.992000000406 usercpu_time_millis_training 19240.93400000129 usercpu_time_millis_training 23137.400000003254 wall_clock_time_millis 12620.63479423523 wall_clock_time_millis 12781.741857528687 wall_clock_time_millis 10837.480306625366 wall_clock_time_millis 15215.312004089355 wall_clock_time_millis 11303.02619934082 wall_clock_time_millis 14430.255651473999 wall_clock_time_millis 22396.083116531372 wall_clock_time_millis 10330.922365188599 wall_clock_time_millis 9786.32926940918 wall_clock_time_millis 11781.015872955322 wall_clock_time_millis_testing 34.53993797302246 wall_clock_time_millis_testing 33.644914627075195 wall_clock_time_millis_testing 33.010244369506836 wall_clock_time_millis_testing 33.10799598693848 wall_clock_time_millis_testing 42.84214973449707 wall_clock_time_millis_testing 38.910865783691406 wall_clock_time_millis_testing 32.96089172363281 wall_clock_time_millis_testing 27.32229232788086 wall_clock_time_millis_testing 27.346134185791016 wall_clock_time_millis_testing 27.007102966308594 wall_clock_time_millis_training 12586.094856262207 wall_clock_time_millis_training 12748.096942901611 wall_clock_time_millis_training 10804.47006225586 wall_clock_time_millis_training 15182.204008102417 wall_clock_time_millis_training 11260.184049606323 wall_clock_time_millis_training 14391.344785690308 wall_clock_time_millis_training 22363.12222480774 wall_clock_time_millis_training 10303.600072860718 wall_clock_time_millis_training 9758.983135223389 wall_clock_time_millis_training 11754.008769989014 weighted_recall 0.7581409117821196 [0.003101,0.617559,0.920189] weighted_recall 0.7594730609828301 [0.003101,0.618761,0.921763] weighted_recall 0.7640615748963884 [0.00155,0.642814,0.919964] weighted_recall 0.7544404973357016 [0,0.614784,0.916123] weighted_recall 0.7616933096506808 [0.00155,0.628606,0.921745] weighted_recall 0.7531083481349912 [0.00155,0.628005,0.908927] weighted_recall 0.7554766133806986 [0.009302,0.636418,0.908253] weighted_recall 0.7570688378978534 [0.003106,0.614784,0.919496] weighted_recall 0.7504071058475204 [0.007752,0.606133,0.912076] weighted_recall 0.7569207994078461 [0.007752,0.619363,0.917023]