10229672 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) 8154694 l2_regularization 1e-10 12677 learning_rate 0.01 12677 loss "auto" 12677 max_bins 32 12677 max_depth 7 12677 max_iter 150 12677 max_leaf_nodes 8 12677 min_samples_leaf 13 12677 n_iter_no_change null 12677 random_state 58184 12677 scoring null 12677 tol 1e-07 12677 validation_fraction 0.2 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 21380788 description https://api.openml.org/data/download/21380788/description.xml -1 21380789 predictions https://api.openml.org/data/download/21380789/predictions.arff area_under_roc_curve 0.8088497188193149 [0.760506,0.787531,0.804939,0.759822,0.801618,0.848276] average_cost 0 f_measure 0.4740513887900409 [0.374118,0.167832,0.335437,0.310308,0.346411,0.686272] kappa 0.29385826340262805 kb_relative_information_score 0.24058125263756405 mean_absolute_error 0.21291864839011307 mean_prior_absolute_error 0.2507645736611627 number_of_instances 6118 [1089,486,748,617,624,2554] precision 0.5172963701962601 [0.520458,0.55814,0.515235,0.450617,0.429929,0.546234] predictive_accuracy 0.5289310232101994 prior_entropy 2.3000072984859514 recall 0.5289310232101994 [0.292011,0.098765,0.248663,0.236629,0.290064,0.922866] relative_absolute_error 0.8490778632782967 root_mean_prior_squared_error 0.35407492669342416 root_mean_squared_error 0.3176553023538442 root_relative_squared_error 0.8971414760155726 total_cost 0 area_under_roc_curve 0.8172862446677137 [0.782124,0.775931,0.792173,0.751085,0.825093,0.861383] area_under_roc_curve 0.8168901297712725 [0.786839,0.780918,0.840025,0.785044,0.779469,0.846691] area_under_roc_curve 0.802129799800376 [0.733199,0.800993,0.770081,0.747537,0.79488,0.856033] area_under_roc_curve 0.813163757910784 [0.772357,0.795538,0.851037,0.765103,0.762082,0.84696] area_under_roc_curve 0.7944429878997408 [0.711356,0.784282,0.776176,0.784032,0.847463,0.826924] area_under_roc_curve 0.8045223383662552 [0.757793,0.749773,0.810031,0.751437,0.796833,0.848174] area_under_roc_curve 0.8009998373650066 [0.791453,0.756171,0.791769,0.766188,0.78107,0.829719] area_under_roc_curve 0.8294763720781193 [0.749239,0.813825,0.834761,0.77616,0.86393,0.869448] area_under_roc_curve 0.8121689485245427 [0.769226,0.837515,0.796281,0.732012,0.76585,0.860673] area_under_roc_curve 0.8063173169591021 [0.762162,0.784562,0.805702,0.748539,0.807178,0.84293] 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 0.45886492421364394 [0.335329,0.140351,0.306306,0.268041,0.34,0.690751] f_measure 0.49245608308697647 [0.433333,0.115385,0.333333,0.387097,0.389831,0.686478] f_measure 0.4604976068293395 [0.352941,0.105263,0.304762,0.311111,0.313043,0.692868] f_measure 0.45167923711206226 [0.319018,0.140351,0.365217,0.211765,0.336634,0.679943] f_measure 0.4601151706171004 [0.306748,0.169492,0.345455,0.351648,0.333333,0.672439] f_measure 0.4766613249303087 [0.364706,0.111111,0.396552,0.316832,0.386364,0.679137] f_measure 0.4845215968445571 [0.494505,0.20339,0.272727,0.336842,0.315789,0.673499] f_measure 0.48186537770266347 [0.340909,0.229508,0.339623,0.336842,0.366972,0.694239] f_measure 0.49971279085367853 [0.416667,0.290323,0.382609,0.29703,0.299065,0.705531] f_measure 0.4684560279238844 [0.360248,0.148148,0.300885,0.27957,0.384615,0.688666] kappa 0.2772089099564144 kappa 0.3204341670599339 kappa 0.2828335346392891 kappa 0.26713110177925586 kappa 0.2730745617027083 kappa 0.2952062654774608 kappa 0.3029891304347826 kappa 0.30422476983988167 kappa 0.3266550384523903 kappa 0.28771736666558734 kb_relative_information_score 0.2382853192485922 kb_relative_information_score 0.2556497971821727 kb_relative_information_score 0.23781524626794975 kb_relative_information_score 0.23250242199404955 kb_relative_information_score 0.24135717684264027 kb_relative_information_score 0.23657029271221752 kb_relative_information_score 0.23607398474082802 kb_relative_information_score 0.2541726643918661 kb_relative_information_score 0.23775915208554368 kb_relative_information_score 0.2356175962971592 mean_absolute_error 0.21275885298025013 mean_absolute_error 0.20983268244673886 mean_absolute_error 0.21191931100687778 mean_absolute_error 0.21448363372113505 mean_absolute_error 0.2136597275329981 mean_absolute_error 0.21440536393034598 mean_absolute_error 0.21365893910021416 mean_absolute_error 0.21128696245372447 mean_absolute_error 0.21312925719291198 mean_absolute_error 0.21405395274043296 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 0.4906189797261125 [0.482759,0.444444,0.459459,0.371429,0.459459,0.548165] precision 0.5556353554293204 [0.549296,0.75,0.545455,0.580645,0.418182,0.552632] precision 0.49661252930544525 [0.483871,0.375,0.533333,0.5,0.346154,0.550926] precision 0.49621068382501854 [0.481481,0.5,0.525,0.391304,0.435897,0.533482] precision 0.5062021237347991 [0.462963,0.5,0.542857,0.551724,0.391304,0.531963] precision 0.5385844764734387 [0.508197,0.6,0.560976,0.410256,0.653846,0.536364] precision 0.5294277328228318 [0.616438,0.6,0.428571,0.484848,0.454545,0.537383] precision 0.521118323347199 [0.447761,0.583333,0.580645,0.470588,0.425532,0.558195] precision 0.5367812087339675 [0.59322,0.642857,0.55,0.375,0.355556,0.571429] precision 0.5235311898577765 [0.557692,0.666667,0.435897,0.40625,0.487805,0.544218] predictive_accuracy 0.5196078431372549 predictive_accuracy 0.5424836601307189 predictive_accuracy 0.5212418300653595 predictive_accuracy 0.5163398692810458 predictive_accuracy 0.5163398692810458 predictive_accuracy 0.5326797385620915 predictive_accuracy 0.5343137254901961 predictive_accuracy 0.5326797385620915 predictive_accuracy 0.5450081833060556 predictive_accuracy 0.5286415711947626 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 0.5196078431372549 [0.256881,0.083333,0.22973,0.209677,0.269841,0.933594] recall 0.5424836601307189 [0.357798,0.0625,0.24,0.290323,0.365079,0.905882] recall 0.5212418300653595 [0.277778,0.061224,0.213333,0.225806,0.285714,0.933333] recall 0.5163398692810458 [0.238532,0.081633,0.28,0.145161,0.274194,0.937255] recall 0.5163398692810458 [0.229358,0.102041,0.253333,0.258065,0.290323,0.913725] recall 0.5326797385620915 [0.284404,0.061224,0.306667,0.258065,0.274194,0.92549] recall 0.5343137254901961 [0.412844,0.122449,0.2,0.258065,0.241935,0.901961] recall 0.5326797385620915 [0.275229,0.142857,0.24,0.262295,0.322581,0.917969] recall 0.5450081833060556 [0.321101,0.1875,0.293333,0.245902,0.258065,0.921875] recall 0.5286415711947627 [0.266055,0.083333,0.22973,0.213115,0.31746,0.9375] relative_absolute_error 0.8487439461471014 relative_absolute_error 0.8365347572128872 relative_absolute_error 0.8446728713008764 relative_absolute_error 0.855034751934716 relative_absolute_error 0.8517502662563957 relative_absolute_error 0.854722730966075 relative_absolute_error 0.8517471231847397 relative_absolute_error 0.8428701433275072 relative_absolute_error 0.850531269869277 relative_absolute_error 0.85418378153194 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 0.3174686494112943 root_mean_squared_error 0.3145363875753799 root_mean_squared_error 0.3185177603173819 root_mean_squared_error 0.3185654081471065 root_mean_squared_error 0.3198152242329253 root_mean_squared_error 0.3185342808545214 root_mean_squared_error 0.31930070035397706 root_mean_squared_error 0.3139498200854915 root_mean_squared_error 0.31707462635415706 root_mean_squared_error 0.3187363431723467 root_relative_squared_error 0.8969349482177374 root_relative_squared_error 0.8880813811366158 root_relative_squared_error 0.8991304487950649 root_relative_squared_error 0.8994131655170223 root_relative_squared_error 0.9029418004953103 root_relative_squared_error 0.8993252831040486 root_relative_squared_error 0.90148913319728 root_relative_squared_error 0.8869910980587443 root_relative_squared_error 0.8961482432965094 root_relative_squared_error 0.9008050125204037 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 6989.521070005139 usercpu_time_millis 7759.276786997361 usercpu_time_millis 6861.245519005024 usercpu_time_millis 5750.008084000001 usercpu_time_millis 3733.6439589998918 usercpu_time_millis 5482.107857998926 usercpu_time_millis 3365.50463200183 usercpu_time_millis 5704.598677999456 usercpu_time_millis 6829.266889002611 usercpu_time_millis 6764.283978998719 usercpu_time_millis_testing 65.37551700239419 usercpu_time_millis_testing 67.19297299787286 usercpu_time_millis_testing 65.79379600225366 usercpu_time_millis_testing 36.15588899992872 usercpu_time_millis_testing 64.36462800047593 usercpu_time_millis_testing 36.23295999932452 usercpu_time_millis_testing 35.8398850003141 usercpu_time_millis_testing 64.29307399957906 usercpu_time_millis_testing 63.933524001186015 usercpu_time_millis_testing 62.88425099774031 usercpu_time_millis_training 6924.145553002745 usercpu_time_millis_training 7692.0838139994885 usercpu_time_millis_training 6795.45172300277 usercpu_time_millis_training 5713.852195000072 usercpu_time_millis_training 3669.279330999416 usercpu_time_millis_training 5445.874897999602 usercpu_time_millis_training 3329.664747001516 usercpu_time_millis_training 5640.305603999877 usercpu_time_millis_training 6765.333365001425 usercpu_time_millis_training 6701.399728000979 wall_clock_time_millis 6991.240978240967 wall_clock_time_millis 7759.446382522583 wall_clock_time_millis 6861.326456069946 wall_clock_time_millis 5750.038146972656 wall_clock_time_millis 3733.668565750122 wall_clock_time_millis 5482.1484088897705 wall_clock_time_millis 3365.809440612793 wall_clock_time_millis 5704.665184020996 wall_clock_time_millis 6829.336166381836 wall_clock_time_millis 6764.3115520477295 wall_clock_time_millis_testing 65.38796424865723 wall_clock_time_millis_testing 67.20232963562012 wall_clock_time_millis_testing 65.80376625061035 wall_clock_time_millis_testing 36.16499900817871 wall_clock_time_millis_testing 64.38207626342773 wall_clock_time_millis_testing 36.24224662780762 wall_clock_time_millis_testing 35.856008529663086 wall_clock_time_millis_testing 64.30602073669434 wall_clock_time_millis_testing 63.947439193725586 wall_clock_time_millis_testing 62.892913818359375 wall_clock_time_millis_training 6925.85301399231 wall_clock_time_millis_training 7692.244052886963 wall_clock_time_millis_training 6795.522689819336 wall_clock_time_millis_training 5713.8731479644775 wall_clock_time_millis_training 3669.2864894866943 wall_clock_time_millis_training 5445.906162261963 wall_clock_time_millis_training 3329.95343208313 wall_clock_time_millis_training 5640.359163284302 wall_clock_time_millis_training 6765.38872718811 wall_clock_time_millis_training 6701.41863822937