10556804 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) 8275665 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 1.0 17462 class_weight null 17462 dual false 17462 fit_intercept true 17462 intercept_scaling 1 17462 l1_ratio null 17462 max_iter 100 17462 multi_class "warn" 17462 n_jobs null 17462 penalty "l2" 17462 random_state 1 17462 solver "liblinear" 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 22038565 description https://api.openml.org/data/download/22038565/description.xml -1 22038566 predictions https://api.openml.org/data/download/22038566/predictions.arff area_under_roc_curve 0.8515595583703208 [0.714302,0.879053,0.861179] average_cost 0 f_measure 0.7165115767479369 [0.00616,0.642837,0.847077] kappa 0.4469260498584644 kb_relative_information_score 0.33302864315607905 mean_absolute_error 0.23039504151264867 mean_prior_absolute_error 0.3312661139316681 weighted_recall 0.7577305090516157 [0.003101,0.625428,0.916646] number_of_instances 67557 [6449,16635,44473] precision 0.7235461795756964 [0.444444,0.661243,0.787323] predictive_accuracy 0.7577305090516157 prior_entropy 1.2184443574876134 relative_absolute_error 0.6954983676965324 root_mean_prior_squared_error 0.4069773263039227 root_mean_squared_error 0.33724483746375244 root_relative_squared_error 0.8286575582146918 total_cost 0 unweighted_recall 0.515058541571539 [0.003101,0.625428,0.916646] area_under_roc_curve 0.8536473455289411 [0.707698,0.883394,0.86369] area_under_roc_curve 0.8551484233472113 [0.701874,0.886373,0.8657] area_under_roc_curve 0.8546050380761803 [0.721216,0.882318,0.863586] area_under_roc_curve 0.8487370312996454 [0.719503,0.874345,0.857899] area_under_roc_curve 0.8572490274439277 [0.714051,0.888109,0.866471] area_under_roc_curve 0.8476373472799037 [0.719385,0.874374,0.856235] area_under_roc_curve 0.8473293301891334 [0.723536,0.874376,0.855164] area_under_roc_curve 0.8557263798463534 [0.723489,0.878865,0.866218] area_under_roc_curve 0.8448829675699772 [0.711229,0.870358,0.854742] area_under_roc_curve 0.8507418165850399 [0.701667,0.878339,0.862043] 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 0.717911717422931 [0.003096,0.645846,0.84851] f_measure 0.7196409888595574 [0.006154,0.647631,0.850026] f_measure 0.7237785420884353 [0.003086,0.660117,0.852087] f_measure 0.7135109525686251 [0.003086,0.632584,0.846834] f_measure 0.7210158841004524 [0.003091,0.658339,0.848598] f_measure 0.7122884751505419 [0.003067,0.638415,0.842797] f_measure 0.7140044507988562 [0.006163,0.6407,0.8441] f_measure 0.7164894603966004 [0.006182,0.637915,0.848755] f_measure 0.7096972041520869 [0.009202,0.62442,0.843188] f_measure 0.7167893908204958 [0.018321,0.64268,0.84581] kappa 0.4491975613453379 kappa 0.4522034247937533 kappa 0.4650761165177003 kappa 0.441064294010656 kappa 0.45612185204929623 kappa 0.4390016550760983 kappa 0.44416795916439805 kappa 0.4464738002971419 kappa 0.4307091338519192 kappa 0.4453796422457884 kb_relative_information_score 0.33509954729177965 kb_relative_information_score 0.33864139492751283 kb_relative_information_score 0.3414256944098997 kb_relative_information_score 0.32880412159503225 kb_relative_information_score 0.3402773026560827 kb_relative_information_score 0.3274632544533718 kb_relative_information_score 0.32702139899504795 kb_relative_information_score 0.33825674999446176 kb_relative_information_score 0.32465297864125636 kb_relative_information_score 0.32864577830528213 mean_absolute_error 0.22930736515023104 mean_absolute_error 0.2280808045562942 mean_absolute_error 0.2279991273277186 mean_absolute_error 0.2322410200008307 mean_absolute_error 0.22803303445878842 mean_absolute_error 0.23237176283973787 mean_absolute_error 0.23322082294983404 mean_absolute_error 0.22929611982112635 mean_absolute_error 0.2326607530133824 mean_absolute_error 0.23073982874698165 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 0.7783644552206239 [1,0.671865,0.786043] precision 0.7228091683083859 [0.4,0.677165,0.786685] precision 0.7201668490734623 [0.333333,0.674404,0.793371] precision 0.7100503726777646 [0.333333,0.648768,0.787621] precision 0.7339226583794387 [0.5,0.685306,0.786043] precision 0.6908994720175731 [0.142857,0.647896,0.78648] precision 0.7261575324238609 [0.5,0.643811,0.789773] precision 0.744615506358656 [0.666667,0.659397,0.787791] precision 0.7150996419570512 [0.428571,0.642494,0.78381] precision 0.7379191633512084 [0.6,0.663677,0.785687] predictive_accuracy 0.7600651272942569 predictive_accuracy 0.7616933096506808 predictive_accuracy 0.7650976909413855 predictive_accuracy 0.7548845470692718 predictive_accuracy 0.7630254588513914 predictive_accuracy 0.7526642984014209 predictive_accuracy 0.7539964476021315 predictive_accuracy 0.7581051073279051 predictive_accuracy 0.7505551443375278 predictive_accuracy 0.7572168763878608 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 0.6922554548127061 relative_absolute_error 0.68855259397675 relative_absolute_error 0.6883060187872511 relative_absolute_error 0.7010258086040375 relative_absolute_error 0.688323890281453 relative_absolute_error 0.701420459404158 relative_absolute_error 0.7039833703413879 relative_absolute_error 0.6922206010474659 relative_absolute_error 0.7023465210358661 relative_absolute_error 0.6965477154435782 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 0.3356184402202697 root_mean_squared_error 0.33447740937299486 root_mean_squared_error 0.3351412237949854 root_mean_squared_error 0.3385233124181278 root_mean_squared_error 0.3338944280809515 root_mean_squared_error 0.3397228519391009 root_mean_squared_error 0.34003669753527493 root_mean_squared_error 0.3359072312595667 root_mean_squared_error 0.341029991154461 root_mean_squared_error 0.3380109402838719 root_relative_squared_error 0.8247094994446803 root_relative_squared_error 0.8219056637010621 root_relative_squared_error 0.8235368436187229 root_relative_squared_error 0.8317454959258136 root_relative_squared_error 0.8203724130172648 root_relative_squared_error 0.8346927422664794 root_relative_squared_error 0.8354638550715896 root_relative_squared_error 0.825418061227095 root_relative_squared_error 0.8379684718496254 root_relative_squared_error 0.8305501523173767 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 0.5150269556271804 [0.00155,0.621768,0.921763] unweighted_recall 0.5160421501280844 [0.003101,0.620565,0.92446] unweighted_recall 0.5227204550669551 [0.00155,0.646422,0.920189] unweighted_recall 0.5114704584471487 [0.00155,0.617188,0.915673] unweighted_recall 0.518977905487216 [0.00155,0.633413,0.92197] unweighted_recall 0.5128533772111671 [0.00155,0.629207,0.907803] unweighted_recall 0.5157249188575915 [0.003101,0.63762,0.906454] unweighted_recall 0.5136133608775766 [0.003106,0.617788,0.919946] unweighted_recall 0.5080959098506472 [0.004651,0.607336,0.9123] unweighted_recall 0.5160570730675601 [0.009302,0.622971,0.915898] usercpu_time_millis 7253.049999999348 usercpu_time_millis 7059.940000006463 usercpu_time_millis 7071.50800000818 usercpu_time_millis 7011.725999996997 usercpu_time_millis 6919.893999991473 usercpu_time_millis 7645.380000016303 usercpu_time_millis 7098.144000003231 usercpu_time_millis 6928.353999988758 usercpu_time_millis 6775.576000014553 usercpu_time_millis 6937.6199999969685 usercpu_time_millis_testing 49.41799999505747 usercpu_time_millis_testing 48.34000000846572 usercpu_time_millis_testing 66.980000003241 usercpu_time_millis_testing 59.82199999561999 usercpu_time_millis_testing 47.643999991123565 usercpu_time_millis_testing 64.75000000500586 usercpu_time_millis_testing 53.57000000367407 usercpu_time_millis_testing 49.109999992651865 usercpu_time_millis_testing 51.402000011876225 usercpu_time_millis_testing 60.56399999943096 usercpu_time_millis_training 7203.632000004291 usercpu_time_millis_training 7011.599999997998 usercpu_time_millis_training 7004.528000004939 usercpu_time_millis_training 6951.904000001377 usercpu_time_millis_training 6872.250000000349 usercpu_time_millis_training 7580.630000011297 usercpu_time_millis_training 7044.573999999557 usercpu_time_millis_training 6879.243999996106 usercpu_time_millis_training 6724.174000002677 usercpu_time_millis_training 6877.055999997538 wall_clock_time_millis 4059.7360134124756 wall_clock_time_millis 3894.2248821258545 wall_clock_time_millis 4139.308929443359 wall_clock_time_millis 4444.859981536865 wall_clock_time_millis 4000.42986869812 wall_clock_time_millis 4551.969766616821 wall_clock_time_millis 3854.7401428222656 wall_clock_time_millis 3733.764886856079 wall_clock_time_millis 3554.0311336517334 wall_clock_time_millis 3722.92423248291 wall_clock_time_millis_testing 28.35988998413086 wall_clock_time_millis_testing 27.875900268554688 wall_clock_time_millis_testing 39.35599327087402 wall_clock_time_millis_testing 49.30400848388672 wall_clock_time_millis_testing 26.421070098876953 wall_clock_time_millis_testing 39.86668586730957 wall_clock_time_millis_testing 36.5300178527832 wall_clock_time_millis_testing 28.666973114013672 wall_clock_time_millis_testing 29.27994728088379 wall_clock_time_millis_testing 34.545183181762695 wall_clock_time_millis_training 4031.3761234283447 wall_clock_time_millis_training 3866.3489818573 wall_clock_time_millis_training 4099.952936172485 wall_clock_time_millis_training 4395.5559730529785 wall_clock_time_millis_training 3974.008798599243 wall_clock_time_millis_training 4512.103080749512 wall_clock_time_millis_training 3818.2101249694824 wall_clock_time_millis_training 3705.0979137420654 wall_clock_time_millis_training 3524.7511863708496 wall_clock_time_millis_training 3688.3790493011475 weighted_recall 0.7600651272942569 [0.00155,0.621768,0.921763] weighted_recall 0.7616933096506808 [0.003101,0.620565,0.92446] weighted_recall 0.7650976909413855 [0.00155,0.646422,0.920189] weighted_recall 0.7548845470692718 [0.00155,0.617188,0.915673] weighted_recall 0.7630254588513914 [0.00155,0.633413,0.92197] weighted_recall 0.7526642984014209 [0.00155,0.629207,0.907803] weighted_recall 0.7539964476021315 [0.003101,0.63762,0.906454] weighted_recall 0.7581051073279053 [0.003106,0.617788,0.919946] weighted_recall 0.7505551443375278 [0.004651,0.607336,0.9123] weighted_recall 0.7572168763878608 [0.009302,0.622971,0.915898]