10287366 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) 8168706 l2_regularization 10.0 12677 learning_rate 1.0 12677 loss "auto" 12677 max_bins 8 12677 max_depth 18 12677 max_iter 350 12677 max_leaf_nodes 16 12677 min_samples_leaf 29 12677 n_iter_no_change null 12677 random_state 10387 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 21496244 description https://api.openml.org/data/download/21496244/description.xml -1 21496245 predictions https://api.openml.org/data/download/21496245/predictions.arff area_under_roc_curve 0.8503079765236892 [0.792589,0.803375,0.838877,0.797167,0.823472,0.906592] average_cost 0 f_measure 0.5979426913020305 [0.485185,0.409344,0.482851,0.408795,0.416382,0.805671] kappa 0.4663914152756393 kb_relative_information_score 0.47594913432026537 mean_absolute_error 0.14390516720191707 mean_prior_absolute_error 0.2507645736611627 number_of_instances 6118 [1089,486,748,617,624,2554] precision 0.5938625303181156 [0.489262,0.445521,0.485792,0.410802,0.445255,0.778874] predictive_accuracy 0.6036286368094149 prior_entropy 2.3000072984859514 recall 0.6036286368094148 [0.481175,0.378601,0.479947,0.406807,0.391026,0.834377] relative_absolute_error 0.573865618659373 root_mean_prior_squared_error 0.35407492669342416 root_mean_squared_error 0.3195198639953114 root_relative_squared_error 0.9024074847072348 total_cost 0 area_under_roc_curve 0.8452395692268939 [0.800235,0.763409,0.840036,0.779164,0.82651,0.901861] area_under_roc_curve 0.8710005563412426 [0.834142,0.78572,0.85491,0.844956,0.842166,0.920997] area_under_roc_curve 0.8568963045114051 [0.781131,0.801918,0.858821,0.813475,0.837381,0.914363] area_under_roc_curve 0.8515709387259863 [0.805178,0.821166,0.856449,0.803446,0.774179,0.906327] area_under_roc_curve 0.8336997279834568 [0.754117,0.782615,0.816586,0.76437,0.830674,0.900159] area_under_roc_curve 0.8620202218957439 [0.818155,0.807844,0.847275,0.842639,0.81085,0.912671] area_under_roc_curve 0.8368519403862125 [0.782051,0.791659,0.820298,0.818666,0.799223,0.8874] area_under_roc_curve 0.8549759909860964 [0.782926,0.837913,0.858461,0.766996,0.83978,0.912543] area_under_roc_curve 0.841213719197935 [0.771455,0.80101,0.817836,0.777094,0.845408,0.899565] area_under_roc_curve 0.8489158830343703 [0.796045,0.839421,0.81407,0.758942,0.827584,0.909969] 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 0.5749530607517336 [0.485981,0.296296,0.465409,0.351145,0.357143,0.804554] f_measure 0.6524552711286378 [0.595349,0.376471,0.594595,0.45,0.496241,0.833652] f_measure 0.5933293474362691 [0.434389,0.357895,0.478873,0.448598,0.406504,0.820896] f_measure 0.6035389359472932 [0.495238,0.430108,0.516129,0.396694,0.413793,0.805293] f_measure 0.5844977458236471 [0.446429,0.404762,0.477419,0.433333,0.363636,0.8] f_measure 0.6159262905242928 [0.53211,0.447059,0.486111,0.440945,0.465517,0.801498] f_measure 0.5509152322582935 [0.441558,0.430108,0.421769,0.375,0.29703,0.763359] f_measure 0.6247381744951525 [0.490196,0.489362,0.503497,0.418605,0.470588,0.829907] f_measure 0.5728088658069418 [0.431193,0.382979,0.416107,0.383333,0.403509,0.800759] f_measure 0.6048322453845645 [0.507317,0.463158,0.468966,0.4,0.461538,0.796262] kappa 0.4374111259533762 kappa 0.5400027917664365 kappa 0.46059038564348564 kappa 0.47480637551480603 kappa 0.4481455638452042 kappa 0.4900018398202027 kappa 0.4046628497586015 kappa 0.5020771983382413 kappa 0.43190033263299016 kappa 0.47429839814617325 kb_relative_information_score 0.4487026269809622 kb_relative_information_score 0.5278584664173781 kb_relative_information_score 0.47967218618097773 kb_relative_information_score 0.48688674992387787 kb_relative_information_score 0.45524360095601635 kb_relative_information_score 0.49636347004728804 kb_relative_information_score 0.4373094134341013 kb_relative_information_score 0.4991770311572868 kb_relative_information_score 0.44456723656606445 kb_relative_information_score 0.4836168835966206 mean_absolute_error 0.14984383274638918 mean_absolute_error 0.13248570999285025 mean_absolute_error 0.14047019011457482 mean_absolute_error 0.1410054569319277 mean_absolute_error 0.14879214338975905 mean_absolute_error 0.13844810874950894 mean_absolute_error 0.15507716142235056 mean_absolute_error 0.1396626430536181 mean_absolute_error 0.15190172965375504 mean_absolute_error 0.14137362573728865 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 0.5723756496391489 [0.495238,0.363636,0.435294,0.333333,0.408163,0.782288] precision 0.6499362729793695 [0.603774,0.432432,0.60274,0.465517,0.471429,0.813433] precision 0.5898779381044889 [0.424779,0.369565,0.507463,0.533333,0.416667,0.782918] precision 0.599505491339577 [0.514851,0.454545,0.5,0.40678,0.444444,0.777372] precision 0.5832377373531453 [0.434783,0.485714,0.4625,0.448276,0.372881,0.784906] precision 0.6130779077273454 [0.53211,0.527778,0.507246,0.430769,0.5,0.767025] precision 0.5492036832817135 [0.418033,0.454545,0.430556,0.363636,0.384615,0.743494] precision 0.6217228777244629 [0.526316,0.511111,0.529412,0.397059,0.491228,0.795699] precision 0.5691085086169055 [0.431193,0.391304,0.418919,0.389831,0.442308,0.778598] precision 0.6018254610579595 [0.541667,0.468085,0.478873,0.390625,0.5,0.763441] predictive_accuracy 0.5816993464052288 predictive_accuracy 0.6568627450980392 predictive_accuracy 0.6013071895424836 predictive_accuracy 0.6094771241830066 predictive_accuracy 0.5882352941176471 predictive_accuracy 0.6225490196078431 predictive_accuracy 0.5571895424836601 predictive_accuracy 0.630718954248366 predictive_accuracy 0.5777414075286416 predictive_accuracy 0.6104746317512275 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 0.5816993464052288 [0.477064,0.25,0.5,0.370968,0.31746,0.828125] recall 0.6568627450980392 [0.587156,0.333333,0.586667,0.435484,0.52381,0.854902] recall 0.6013071895424836 [0.444444,0.346939,0.453333,0.387097,0.396825,0.862745] recall 0.6094771241830066 [0.477064,0.408163,0.533333,0.387097,0.387097,0.835294] recall 0.5882352941176471 [0.458716,0.346939,0.493333,0.419355,0.354839,0.815686] recall 0.6225490196078431 [0.53211,0.387755,0.466667,0.451613,0.435484,0.839216] recall 0.5571895424836601 [0.46789,0.408163,0.413333,0.387097,0.241935,0.784314] recall 0.630718954248366 [0.458716,0.469388,0.48,0.442623,0.451613,0.867188] recall 0.5777414075286416 [0.431193,0.375,0.413333,0.377049,0.370968,0.824219] recall 0.6104746317512275 [0.477064,0.458333,0.459459,0.409836,0.428571,0.832031] relative_absolute_error 0.5977614756307336 relative_absolute_error 0.528177498141536 relative_absolute_error 0.5598893194419978 relative_absolute_error 0.5621154574711579 relative_absolute_error 0.593156928600473 relative_absolute_error 0.551920639662317 relative_absolute_error 0.6182120283354444 relative_absolute_error 0.5571449870878036 relative_absolute_error 0.6061916262430654 relative_absolute_error 0.5641524330438027 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 0.32980655109695695 root_mean_squared_error 0.3004137351424704 root_mean_squared_error 0.3176389414503274 root_mean_squared_error 0.3178134145185033 root_mean_squared_error 0.32836331939854146 root_mean_squared_error 0.31142008732860177 root_mean_squared_error 0.3307745407016893 root_mean_squared_error 0.3140947306037025 root_mean_squared_error 0.32938188562016996 root_mean_squared_error 0.3140843257549401 root_relative_squared_error 0.9317928632593215 root_relative_squared_error 0.8482066156933812 root_relative_squared_error 0.8966496678126892 root_relative_squared_error 0.8972900443222745 root_relative_squared_error 0.9270758374479265 root_relative_squared_error 0.8792396141782707 root_relative_squared_error 0.9338834949322723 root_relative_squared_error 0.8874005085168655 root_relative_squared_error 0.9309322589645218 root_relative_squared_error 0.8876575924106542 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 15771.67284101597 usercpu_time_millis 17718.040893989382 usercpu_time_millis 11012.154517986346 usercpu_time_millis 11440.650723001454 usercpu_time_millis 10270.666784010245 usercpu_time_millis 16027.989692011033 usercpu_time_millis 14788.574906007852 usercpu_time_millis 13658.948985001189 usercpu_time_millis 15230.700414991588 usercpu_time_millis 12529.389782008366 usercpu_time_millis_testing 125.33986700873356 usercpu_time_millis_testing 161.8837749992963 usercpu_time_millis_testing 87.88274799007922 usercpu_time_millis_testing 90.26032900146674 usercpu_time_millis_testing 129.79969099978916 usercpu_time_millis_testing 131.9708290102426 usercpu_time_millis_testing 89.34771300118882 usercpu_time_millis_testing 131.9896030036034 usercpu_time_millis_testing 129.36143299157266 usercpu_time_millis_testing 90.11209401069209 usercpu_time_millis_training 15646.332974007237 usercpu_time_millis_training 17556.157118990086 usercpu_time_millis_training 10924.271769996267 usercpu_time_millis_training 11350.390393999987 usercpu_time_millis_training 10140.867093010456 usercpu_time_millis_training 15896.01886300079 usercpu_time_millis_training 14699.227193006664 usercpu_time_millis_training 13526.959381997585 usercpu_time_millis_training 15101.338982000016 usercpu_time_millis_training 12439.277687997674 wall_clock_time_millis 15772.0365524292 wall_clock_time_millis 17718.409299850464 wall_clock_time_millis 11012.409925460815 wall_clock_time_millis 11440.855979919434 wall_clock_time_millis 10270.897626876831 wall_clock_time_millis 16028.284788131714 wall_clock_time_millis 14788.85006904602 wall_clock_time_millis 13659.230947494507 wall_clock_time_millis 15230.956554412842 wall_clock_time_millis 12529.662609100342 wall_clock_time_millis_testing 125.3504753112793 wall_clock_time_millis_testing 161.89956665039062 wall_clock_time_millis_testing 87.8901481628418 wall_clock_time_millis_testing 90.2717113494873 wall_clock_time_millis_testing 129.80961799621582 wall_clock_time_millis_testing 131.98494911193848 wall_clock_time_millis_testing 89.35999870300293 wall_clock_time_millis_testing 132.002592086792 wall_clock_time_millis_testing 129.37140464782715 wall_clock_time_millis_testing 90.12126922607422 wall_clock_time_millis_training 15646.68607711792 wall_clock_time_millis_training 17556.509733200073 wall_clock_time_millis_training 10924.519777297974 wall_clock_time_millis_training 11350.584268569946 wall_clock_time_millis_training 10141.088008880615 wall_clock_time_millis_training 15896.299839019775 wall_clock_time_millis_training 14699.490070343018 wall_clock_time_millis_training 13527.228355407715 wall_clock_time_millis_training 15101.585149765015 wall_clock_time_millis_training 12439.541339874268