10229805 8323 Heinrich Peters 9985 Supervised Classification 12736 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,histgradientboostingclassifier=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1) 8154827 l2_regularization 1e-07 12677 learning_rate 0.01 12677 loss "auto" 12677 max_bins 64 12677 max_depth 7 12677 max_iter 350 12677 max_leaf_nodes 128 12677 min_samples_leaf 19 12677 n_iter_no_change null 12677 random_state 16970 12677 scoring null 12677 tol 1e-07 12677 validation_fraction 0.1 12677 verbose 0 12677 memory null 12736 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "histgradientboostingclassifier", "step_name": "histgradientboostingclassifier"}}] 12736 verbose false 12736 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 openml-python Sklearn_0.21.2. 1475 first-order-theorem-proving https://www.openml.org/data/download/1587932/phpPbCMyg -1 21381054 description https://api.openml.org/data/download/21381054/description.xml -1 21381055 predictions https://api.openml.org/data/download/21381055/predictions.arff area_under_roc_curve 0.863939580268572 [0.81452,0.829497,0.855987,0.808931,0.84137,0.912698] average_cost 0 f_measure 0.5959100533408552 [0.478847,0.412422,0.496434,0.411283,0.423818,0.796523] kappa 0.4642860775544939 kb_relative_information_score 0.39841414076903947 mean_absolute_error 0.17549511317562666 mean_prior_absolute_error 0.2507645736611627 number_of_instances 6118 [1089,486,748,617,624,2554] precision 0.5916351009126798 [0.484934,0.520376,0.53211,0.46888,0.467181,0.728187] predictive_accuracy 0.6116377901274926 prior_entropy 2.3000072984859514 recall 0.6116377901274926 [0.472911,0.341564,0.465241,0.366288,0.387821,0.879013] relative_absolute_error 0.6998401353644098 root_mean_prior_squared_error 0.35407492669342416 root_mean_squared_error 0.2935375753625589 root_relative_squared_error 0.829026720710779 total_cost 0 area_under_roc_curve 0.8726103628173695 [0.828688,0.804374,0.861951,0.812742,0.866048,0.923301] area_under_roc_curve 0.8736499840326948 [0.837407,0.817376,0.894575,0.843446,0.837309,0.909903] area_under_roc_curve 0.8607886317658151 [0.818921,0.832149,0.852601,0.788578,0.825671,0.912665] area_under_roc_curve 0.8687665511226224 [0.802989,0.84268,0.87789,0.843431,0.815279,0.918378] area_under_roc_curve 0.854783465675083 [0.802424,0.832747,0.829162,0.790147,0.86632,0.901845] area_under_roc_curve 0.8580051715910707 [0.802907,0.786621,0.847598,0.820733,0.833739,0.913297] area_under_roc_curve 0.8522924331723458 [0.827959,0.804527,0.848318,0.787419,0.833123,0.893475] area_under_roc_curve 0.8748676629563352 [0.793706,0.878802,0.874463,0.827467,0.864985,0.922478] area_under_roc_curve 0.8628906922598819 [0.808272,0.86549,0.835236,0.801118,0.836139,0.914959] area_under_roc_curve 0.8630582037946875 [0.826172,0.829096,0.835032,0.779523,0.84014,0.918778] 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 0.5894398997539482 [0.5,0.272727,0.438356,0.428571,0.416667,0.812057] f_measure 0.6213590966774071 [0.534562,0.493506,0.507042,0.462963,0.452174,0.79646] f_measure 0.5896591743421251 [0.472727,0.266667,0.560606,0.43299,0.390244,0.797153] f_measure 0.5988067121246299 [0.458537,0.395349,0.585034,0.345455,0.454545,0.798587] f_measure 0.5946705824777206 [0.472222,0.482759,0.463768,0.462963,0.417391,0.782143] f_measure 0.5956528489473979 [0.481481,0.425,0.48951,0.421053,0.425926,0.792185] f_measure 0.5976779018092387 [0.519481,0.481928,0.460432,0.4,0.438095,0.780576] f_measure 0.6027032808585371 [0.43318,0.421053,0.542857,0.431034,0.45045,0.804965] f_measure 0.569779959491756 [0.436019,0.481928,0.42963,0.378378,0.311927,0.792321] f_measure 0.5974104415718712 [0.475248,0.38961,0.485714,0.353982,0.47619,0.808511] kappa 0.46056426332288414 kappa 0.49672722981668793 kappa 0.4553578323753626 kappa 0.47049077721733373 kappa 0.4607553390287868 kappa 0.463802154274313 kappa 0.46525297100039287 kappa 0.4722057398104912 kappa 0.4296875871583856 kappa 0.4677523540246346 kb_relative_information_score 0.3987441156626582 kb_relative_information_score 0.4141489223949541 kb_relative_information_score 0.39263362154299963 kb_relative_information_score 0.40444802959533893 kb_relative_information_score 0.39698915054220035 kb_relative_information_score 0.3926591193747141 kb_relative_information_score 0.3958379776057401 kb_relative_information_score 0.41454064061827095 kb_relative_information_score 0.3853527040636071 kb_relative_information_score 0.3887281270824668 mean_absolute_error 0.17507935169172692 mean_absolute_error 0.17276074060586608 mean_absolute_error 0.17488511282538735 mean_absolute_error 0.17496731835292473 mean_absolute_error 0.17605520265095542 mean_absolute_error 0.17702426918075317 mean_absolute_error 0.17674722501012766 mean_absolute_error 0.17265403895091014 mean_absolute_error 0.17757869647413993 mean_absolute_error 0.17720537510698606 mean_prior_absolute_error 0.25067495791407446 mean_prior_absolute_error 0.25083558171073006 mean_prior_absolute_error 0.25088921191526126 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25067558048692967 mean_prior_absolute_error 0.25058368192114683 mean_prior_absolute_error 0.25059472840439195 number_of_instances 612 [109,48,74,62,63,256] number_of_instances 612 [109,48,75,62,63,255] number_of_instances 612 [108,49,75,62,63,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,61,62,256] number_of_instances 611 [109,48,75,61,62,256] number_of_instances 611 [109,48,74,61,63,256] precision 0.5876265947194643 [0.504673,0.5,0.444444,0.48,0.438596,0.743506] precision 0.6218302576748299 [0.537037,0.655172,0.537313,0.543478,0.5,0.725806] precision 0.5908940571987437 [0.464286,0.292683,0.649123,0.6,0.4,0.729642] precision 0.5928244494849493 [0.489583,0.459459,0.597222,0.395833,0.520833,0.726688] precision 0.5914982696396412 [0.476636,0.552632,0.507937,0.543478,0.45283,0.718033] precision 0.5926272541294714 [0.485981,0.548387,0.514706,0.461538,0.5,0.724026] precision 0.5969718193717003 [0.491803,0.588235,0.5,0.458333,0.534884,0.72093] precision 0.6018850106735261 [0.435185,0.592593,0.584615,0.454545,0.510204,0.737013] precision 0.5633380983239685 [0.45098,0.571429,0.483333,0.42,0.361702,0.716088] precision 0.5927576019840748 [0.516129,0.517241,0.515152,0.384615,0.47619,0.74026] predictive_accuracy 0.6094771241830066 predictive_accuracy 0.6356209150326797 predictive_accuracy 0.6045751633986928 predictive_accuracy 0.6160130718954249 predictive_accuracy 0.6078431372549019 predictive_accuracy 0.6111111111111112 predictive_accuracy 0.6111111111111112 predictive_accuracy 0.6176470588235294 predictive_accuracy 0.5891980360065466 predictive_accuracy 0.613747954173486 prior_entropy 2.2982053906988225 prior_entropy 2.3010980143383097 prior_entropy 2.3029972536480843 prior_entropy 2.301686142471426 prior_entropy 2.301686142471426 prior_entropy 2.301686142471426 prior_entropy 2.301686142471426 prior_entropy 2.2983403180467192 prior_entropy 2.2961240491639523 prior_entropy 2.2965513970017746 recall 0.6094771241830066 [0.495413,0.1875,0.432432,0.387097,0.396825,0.894531] recall 0.6356209150326797 [0.53211,0.395833,0.48,0.403226,0.412698,0.882353] recall 0.6045751633986928 [0.481481,0.244898,0.493333,0.33871,0.380952,0.878431] recall 0.6160130718954249 [0.431193,0.346939,0.573333,0.306452,0.403226,0.886275] recall 0.6078431372549019 [0.46789,0.428571,0.426667,0.403226,0.387097,0.858824] recall 0.6111111111111112 [0.477064,0.346939,0.466667,0.387097,0.370968,0.87451] recall 0.6111111111111112 [0.550459,0.408163,0.426667,0.354839,0.370968,0.85098] recall 0.6176470588235294 [0.431193,0.326531,0.506667,0.409836,0.403226,0.886719] recall 0.5891980360065466 [0.422018,0.416667,0.386667,0.344262,0.274194,0.886719] recall 0.613747954173486 [0.440367,0.3125,0.459459,0.327869,0.47619,0.890625] relative_absolute_error 0.6984317585952884 relative_absolute_error 0.6887409650082984 relative_absolute_error 0.6970611111188609 relative_absolute_error 0.6975037444539233 relative_absolute_error 0.701840573631807 relative_absolute_error 0.7057037381331654 relative_absolute_error 0.7045993070416365 relative_absolute_error 0.6887549182713966 relative_absolute_error 0.7086602571751661 relative_absolute_error 0.7071392771719627 root_mean_prior_squared_error 0.35394835494159665 root_mean_prior_squared_error 0.3541751851309153 root_mean_prior_squared_error 0.3542508884492025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3539492344090008 root_mean_prior_squared_error 0.3538193917423618 root_mean_prior_squared_error 0.35383500173976573 root_mean_squared_error 0.2935471801872858 root_mean_squared_error 0.2871935161425892 root_mean_squared_error 0.29553791904869736 root_mean_squared_error 0.2928627928887454 root_mean_squared_error 0.2959613456891046 root_mean_squared_error 0.2955751648848303 root_mean_squared_error 0.29584237841106253 root_mean_squared_error 0.289251345727707 root_mean_squared_error 0.2955820768440966 root_mean_squared_error 0.2938850609840942 root_relative_squared_error 0.8293503164768845 root_relative_squared_error 0.8108798363059587 root_relative_squared_error 0.8342616170772872 root_relative_squared_error 0.8268463708796284 root_relative_squared_error 0.8355945874512336 root_relative_squared_error 0.8345042741568478 root_relative_squared_error 0.835258704353445 root_relative_squared_error 0.817211389680439 root_relative_squared_error 0.8354038352406883 root_relative_squared_error 0.8305709145197491 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 31371.437570000126 usercpu_time_millis 26616.73933199927 usercpu_time_millis 23900.267358003475 usercpu_time_millis 28394.409918000747 usercpu_time_millis 34179.98094200448 usercpu_time_millis 34017.058477998944 usercpu_time_millis 34248.32071900164 usercpu_time_millis 39019.83616900543 usercpu_time_millis 38825.26383599907 usercpu_time_millis 32224.129795009503 usercpu_time_millis_testing 155.68705400073668 usercpu_time_millis_testing 174.63325800054008 usercpu_time_millis_testing 172.85453800286632 usercpu_time_millis_testing 178.87828500533942 usercpu_time_millis_testing 176.30616500537144 usercpu_time_millis_testing 175.37081699992996 usercpu_time_millis_testing 197.00062199990498 usercpu_time_millis_testing 193.3977020016755 usercpu_time_millis_testing 131.61036299425177 usercpu_time_millis_testing 177.55053100700025 usercpu_time_millis_training 31215.75051599939 usercpu_time_millis_training 26442.10607399873 usercpu_time_millis_training 23727.41282000061 usercpu_time_millis_training 28215.531632995408 usercpu_time_millis_training 34003.674776999105 usercpu_time_millis_training 33841.687660999014 usercpu_time_millis_training 34051.320097001735 usercpu_time_millis_training 38826.438467003754 usercpu_time_millis_training 38693.653473004815 usercpu_time_millis_training 32046.579264002503 wall_clock_time_millis 31448.142528533936 wall_clock_time_millis 26701.536893844604 wall_clock_time_millis 23920.795917510986 wall_clock_time_millis 28394.46187019348 wall_clock_time_millis 34180.05156517029 wall_clock_time_millis 34017.576456069946 wall_clock_time_millis 34385.19906997681 wall_clock_time_millis 39019.92464065552 wall_clock_time_millis 38825.38628578186 wall_clock_time_millis 32230.203866958618 wall_clock_time_millis_testing 155.74955940246582 wall_clock_time_millis_testing 174.64947700500488 wall_clock_time_millis_testing 172.8661060333252 wall_clock_time_millis_testing 178.88593673706055 wall_clock_time_millis_testing 176.31888389587402 wall_clock_time_millis_testing 175.3866672515869 wall_clock_time_millis_testing 197.01743125915527 wall_clock_time_millis_testing 193.40777397155762 wall_clock_time_millis_testing 131.6215991973877 wall_clock_time_millis_testing 177.5672435760498 wall_clock_time_millis_training 31292.39296913147 wall_clock_time_millis_training 26526.8874168396 wall_clock_time_millis_training 23747.92981147766 wall_clock_time_millis_training 28215.57593345642 wall_clock_time_millis_training 34003.732681274414 wall_clock_time_millis_training 33842.18978881836 wall_clock_time_millis_training 34188.18163871765 wall_clock_time_millis_training 38826.51686668396 wall_clock_time_millis_training 38693.76468658447 wall_clock_time_millis_training 32052.63662338257