10437728 10468 Nicolas Hug 146820 Supervised Classification 17374 sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(4) 8260869 l2_regularization 0.0 17370 learning_rate 0.1 17370 loss "auto" 17370 max_bins 255 17370 max_depth null 17370 max_iter 100 17370 max_leaf_nodes 31 17370 min_samples_leaf 20 17370 n_iter_no_change null 17370 random_state 23533 17370 scoring null 17370 tol 1e-07 17370 validation_fraction 0.1 17370 verbose 0 17370 warm_start false 17370 cv null 17374 error_score NaN 17374 iid "deprecated" 17374 n_iter 100 17374 n_jobs null 17374 param_distributions {"l2_regularization": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._continuous_distns.reciprocal_gen", "a": -Infinity, "b": Infinity, "args": [0.0001, 1], "kwds": {}}}, "learning_rate": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._continuous_distns.reciprocal_gen", "a": -Infinity, "b": Infinity, "args": [0.0001, 1], "kwds": {}}}, "max_depth": [5, 6, 7, 8, 9, 1000], "max_leaf_nodes": [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], "min_samples_leaf": [2, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]} 17374 pre_dispatch "2*n_jobs" 17374 random_state 0 17374 refit true 17374 return_train_score false 17374 scoring null 17374 verbose 0 17374 openml-python Sklearn_0.23.dev0. 40983 wilt https://www.openml.org/data/download/18151926/phpcSeK3V -1 21799684 description https://api.openml.org/data/download/21799684/description.xml -1 21799685 predictions https://api.openml.org/data/download/21799685/predictions.arff -1 21799686 trace https://api.openml.org/data/download/21799686/trace.arff area_under_roc_curve 0.9825648738176419 [0.982565,0.982565] average_cost 0 f_measure 0.983545667373272 [0.991501,0.844] kappa 0.8355187642009428 kb_relative_information_score 0.7316923150324041 mean_absolute_error 0.020908938382501602 mean_prior_absolute_error 0.10221958465180693 weighted_recall 0.9838809671419715 [0.993884,0.808429] number_of_instances 4839 [4578,261] precision 0.9833977525474357 [0.98913,0.882845] predictive_accuracy 0.9838809671419715 prior_entropy 0.3028907962597491 relative_absolute_error 0.2045492402823219 root_mean_prior_squared_error 0.22589294647411987 root_mean_squared_error 0.11386047939556897 root_relative_squared_error 0.5040461916707689 total_cost 0 unweighted_recall 0.901156455411438 [0.993884,0.808429] area_under_roc_curve 0.9847161572052401 [0.984716,0.984716] area_under_roc_curve 0.9954652334564998 [0.995465,0.995465] area_under_roc_curve 0.997564662411824 [0.997565,0.997565] area_under_roc_curve 0.9908464897547867 [0.990846,0.990846] area_under_roc_curve 0.9697262344642257 [0.969726,0.969726] area_under_roc_curve 0.9800974135035271 [0.980097,0.980097] area_under_roc_curve 0.9968088679879071 [0.996809,0.996809] area_under_roc_curve 0.9944575075579442 [0.994458,0.994458] area_under_roc_curve 0.9982170354161601 [0.998217,0.998217] area_under_roc_curve 0.9984009426022555 [0.998401,0.998401] 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 0.9742274523895078 [0.986957,0.75] f_measure 0.9834710743801653 [0.991266,0.846154] f_measure 0.9918795407158247 [0.995624,0.925926] f_measure 0.9848071501244718 [0.9924,0.851064] f_measure 0.9770623030614051 [0.988004,0.784314] f_measure 0.9831585012333676 [0.991285,0.84] f_measure 0.9780586034047746 [0.989154,0.782609] f_measure 0.9785228769912563 [0.98913,0.791667] f_measure 0.993629487628753 [0.996728,0.941176] f_measure 0.989740023986938 [0.994524,0.90566] kappa 0.7370517928286848 kappa 0.8374202216996981 kappa 0.921555915721232 kappa 0.8435537495382341 kappa 0.7723229558672599 kappa 0.8313001045660515 kappa 0.7719562759140591 kappa 0.7808764940239039 kappa 0.9379168804515132 kappa 0.9001859888406698 kb_relative_information_score 0.6447430804920145 kb_relative_information_score 0.7761447743521265 kb_relative_information_score 0.7725379118363785 kb_relative_information_score 0.7448309115526003 kb_relative_information_score 0.553861959674968 kb_relative_information_score 0.666549846709124 kb_relative_information_score 0.7389834766786033 kb_relative_information_score 0.7135393821206557 kb_relative_information_score 0.8428602108773113 kb_relative_information_score 0.8598027863684911 mean_absolute_error 0.02514046295007238 mean_absolute_error 0.016059357534241595 mean_absolute_error 0.018699184445797226 mean_absolute_error 0.020306982543111488 mean_absolute_error 0.03572812259623311 mean_absolute_error 0.025014858340114965 mean_absolute_error 0.021362213685056353 mean_absolute_error 0.020835064925844828 mean_absolute_error 0.014721117587690688 mean_absolute_error 0.011201963483591378 mean_prior_absolute_error 0.10202539943765428 mean_prior_absolute_error 0.10202539943765428 mean_prior_absolute_error 0.10202539943765428 mean_prior_absolute_error 0.10202539943765428 mean_prior_absolute_error 0.10202539943765428 mean_prior_absolute_error 0.10202539943765428 mean_prior_absolute_error 0.10202539943765428 mean_prior_absolute_error 0.10202539943765428 mean_prior_absolute_error 0.1038678744402577 mean_prior_absolute_error 0.10212458028665569 number_of_instances 484 [458,26] number_of_instances 484 [458,26] number_of_instances 484 [458,26] number_of_instances 484 [458,26] number_of_instances 484 [458,26] number_of_instances 484 [458,26] number_of_instances 484 [458,26] number_of_instances 484 [458,26] number_of_instances 484 [457,27] number_of_instances 483 [457,26] precision 0.9738470895495689 [0.982684,0.818182] precision 0.9834710743801653 [0.991266,0.846154] precision 0.9921692143582096 [0.997807,0.892857] precision 0.9851791313601641 [0.987041,0.952381] precision 0.9768865121806298 [0.986928,0.8] precision 0.9829994610132949 [0.98913,0.875] precision 0.9783129096608719 [0.982759,0.9] precision 0.9783370899073378 [0.984848,0.863636] precision 0.9938420768954367 [0.993478,1] precision 0.9898689961619023 [0.995614,0.888889] predictive_accuracy 0.9752066115702479 predictive_accuracy 0.9834710743801652 predictive_accuracy 0.9917355371900827 predictive_accuracy 0.9855371900826446 predictive_accuracy 0.9772727272727273 predictive_accuracy 0.9834710743801652 predictive_accuracy 0.9793388429752067 predictive_accuracy 0.9793388429752067 predictive_accuracy 0.993801652892562 predictive_accuracy 0.989648033126294 prior_entropy 0.3019920334260246 prior_entropy 0.3019920334260246 prior_entropy 0.3019920334260246 prior_entropy 0.3019920334260246 prior_entropy 0.3019920334260246 prior_entropy 0.3019920334260246 prior_entropy 0.3019920334260246 prior_entropy 0.3019920334260246 prior_entropy 0.31051970666597517 prior_entropy 0.30245108001865134 relative_absolute_error 0.24641376646052954 relative_absolute_error 0.15740548552378034 relative_absolute_error 0.18327969847571077 relative_absolute_error 0.1990385007560856 relative_absolute_error 0.3501885098530378 relative_absolute_error 0.24518265527988503 relative_absolute_error 0.20938132859857495 relative_absolute_error 0.20421449012387086 relative_absolute_error 0.14172926582952192 relative_absolute_error 0.10968919972202915 root_mean_prior_squared_error 0.22546271987314428 root_mean_prior_squared_error 0.22546271987314428 root_mean_prior_squared_error 0.22546271987314428 root_mean_prior_squared_error 0.22546271987314428 root_mean_prior_squared_error 0.22546271987314428 root_mean_prior_squared_error 0.22546271987314428 root_mean_prior_squared_error 0.22546271987314428 root_mean_prior_squared_error 0.22546271987314428 root_mean_prior_squared_error 0.2295123374792723 root_mean_prior_squared_error 0.22568256224528593 root_mean_squared_error 0.14591630621586188 root_mean_squared_error 0.11663319641168719 root_mean_squared_error 0.08601485446740849 root_mean_squared_error 0.11102402798079422 root_mean_squared_error 0.12170243674045653 root_mean_squared_error 0.1101062804305903 root_mean_squared_error 0.1311210585439249 root_mean_squared_error 0.12943028153696595 root_mean_squared_error 0.07670638636339303 root_mean_squared_error 0.09082350380535185 root_relative_squared_error 0.6471859573855984 root_relative_squared_error 0.5173059052836336 root_relative_squared_error 0.3815036672839058 root_relative_squared_error 0.4924274312101861 root_relative_squared_error 0.5397896237964835 root_relative_squared_error 0.48835692434004685 root_relative_squared_error 0.5815642542487718 root_relative_squared_error 0.5740651120051661 root_relative_squared_error 0.3342146535818386 root_relative_squared_error 0.4024391734202273 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 0.8417870339267719 [0.991266,0.692308] unweighted_recall 0.9187101108498488 [0.991266,0.846154] unweighted_recall 0.9774941215989251 [0.99345,0.961538] unweighted_recall 0.883523681558616 [0.997817,0.769231] unweighted_recall 0.8791568693315419 [0.989083,0.769231] unweighted_recall 0.9005710446758481 [0.99345,0.807692] unweighted_recall 0.843970440040309 [0.995633,0.692308] unweighted_recall 0.8621095062143097 [0.99345,0.730769] unweighted_recall 0.9444444444444444 [1,0.888889] unweighted_recall 0.9582561858273018 [0.993435,0.923077] usercpu_time_millis 1941.0142549999998 usercpu_time_millis 1983.2574629999997 usercpu_time_millis 1890.7584559999996 usercpu_time_millis 1905.2750010000004 usercpu_time_millis 1970.582641 usercpu_time_millis 1962.2762589999993 usercpu_time_millis 1909.199912 usercpu_time_millis 2029.9381730000032 usercpu_time_millis 2098.860605999999 usercpu_time_millis 2068.2695510000035 usercpu_time_millis_testing 4.097919999999977 usercpu_time_millis_testing 4.689539000000131 usercpu_time_millis_testing 4.077789000000109 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wall_clock_time_millis 9085.955142974854 wall_clock_time_millis 9389.474391937256 wall_clock_time_millis 9414.117097854614 wall_clock_time_millis 9560.664415359497 wall_clock_time_millis 9510.706424713135 wall_clock_time_millis_testing 4.098176956176758 wall_clock_time_millis_testing 4.691123962402344 wall_clock_time_millis_testing 4.077911376953125 wall_clock_time_millis_testing 3.966093063354492 wall_clock_time_millis_testing 3.8471221923828125 wall_clock_time_millis_testing 3.8628578186035156 wall_clock_time_millis_testing 3.905773162841797 wall_clock_time_millis_testing 4.588603973388672 wall_clock_time_millis_testing 4.162311553955078 wall_clock_time_millis_testing 4.1484832763671875 wall_clock_time_millis_training 9897.51124382019 wall_clock_time_millis_training 9357.855796813965 wall_clock_time_millis_training 9307.391881942749 wall_clock_time_millis_training 9386.016130447388 wall_clock_time_millis_training 9277.714729309082 wall_clock_time_millis_training 9082.09228515625 wall_clock_time_millis_training 9385.568618774414 wall_clock_time_millis_training 9409.528493881226 wall_clock_time_millis_training 9556.502103805542 wall_clock_time_millis_training 9506.557941436768 weighted_recall 0.9752066115702479 [0.991266,0.692308] weighted_recall 0.9834710743801653 [0.991266,0.846154] weighted_recall 0.9917355371900827 [0.99345,0.961538] weighted_recall 0.9855371900826446 [0.997817,0.769231] weighted_recall 0.9772727272727273 [0.989083,0.769231] weighted_recall 0.9834710743801653 [0.99345,0.807692] weighted_recall 0.9793388429752066 [0.995633,0.692308] weighted_recall 0.9793388429752066 [0.99345,0.730769] weighted_recall 0.993801652892562 [1,0.888889] weighted_recall 0.989648033126294 [0.993435,0.923077]