10418908 10580 Thomas Fan 10101 Supervised Classification 17373 sklearn.model_selection._search_successive_halving.HalvingRandomSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(4) 8255505 l2_regularization 0.0 17372 learning_rate 0.1 17372 loss "auto" 17372 max_bins 255 17372 max_depth null 17372 max_iter 100 17372 max_leaf_nodes 31 17372 min_samples_leaf 20 17372 n_iter_no_change null 17372 random_state 145 17372 scoring null 17372 tol 1e-07 17372 validation_fraction 0.1 17372 verbose 0 17372 warm_start false 17372 aggressive_elimination false 17373 cv 5 17373 error_score NaN 17373 force_exhaust_resources false 17373 max_resources "auto" 17373 min_resources "auto" 17373 n_candidates 100 17373 n_jobs 3 17373 param_distributions {"l2_regularization": [0, 0.01, 0.1], "learning_rate": [0.01, 0.1, 1], "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]} 17373 pre_dispatch "2*n_jobs" 17373 random_state 0 17373 ratio 3 17373 refit {"oml-python:serialized_object": "function", "value": "sklearn.model_selection._search_successive_halving._refit_callable"} 17373 resource "n_samples" 17373 return_train_score true 17373 scoring null 17373 verbose 1 17373 openml-python Sklearn_0.23.dev0. 1464 blood-transfusion-service-center https://www.openml.org/data/download/1586225/php0iVrYT -1 21760291 description https://api.openml.org/data/download/21760291/description.xml -1 21760292 predictions https://api.openml.org/data/download/21760292/predictions.arff -1 21760293 trace https://api.openml.org/data/download/21760293/trace.arff area_under_roc_curve 0.7220678099743741 [0.722068,0.722068] average_cost 0 f_measure 0.7300934782870966 [0.861044,0.310757] kappa 0.200024727992087 kb_relative_information_score 0.11237497595359144 mean_absolute_error 0.3078659531839886 mean_prior_absolute_error 0.3630445632798566 number_of_instances 748 [570,178] precision 0.7322434660871405 [0.794074,0.534247] predictive_accuracy 0.768716577540107 prior_entropy 0.7916465694609683 recall 0.7687165775401069 [0.940351,0.219101] relative_absolute_error 0.848011468351523 root_mean_prior_squared_error 0.4258399633559147 root_mean_squared_error 0.4024293234738312 root_relative_squared_error 0.9450247935924299 total_cost 0 area_under_roc_curve 0.7422027290448343 [0.742203,0.742203] area_under_roc_curve 0.8065302144249513 [0.80653,0.80653] area_under_roc_curve 0.6257309941520468 [0.625731,0.625731] area_under_roc_curve 0.6647173489278753 [0.664717,0.664717] area_under_roc_curve 0.8230994152046783 [0.823099,0.823099] area_under_roc_curve 0.6759259259259259 [0.675926,0.675926] area_under_roc_curve 0.76364522417154 [0.763645,0.763645] area_under_roc_curve 0.7305068226120858 [0.730507,0.730507] area_under_roc_curve 0.7363261093911249 [0.736326,0.736326] area_under_roc_curve 0.737358101135191 [0.737358,0.737358] 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 0.7438482384823847 [0.861789,0.37037] f_measure 0.7335831381733021 [0.852459,0.357143] f_measure 0.6630681818181817 [0.84375,0.090909] f_measure 0.7441490683229813 [0.834783,0.457143] f_measure 0.8107609005414648 [0.892562,0.551724] f_measure 0.73344 [0.864,0.32] f_measure 0.6866372036962636 [0.870229,0.105263] f_measure 0.7055592469545958 [0.868217,0.190476] f_measure 0.7351117351117351 [0.873016,0.272727] f_measure 0.6931421856639247 [0.848,0.173913] kappa 0.2504409171075837 kappa 0.22413793103448282 kappa 0.003984063745019896 kappa 0.29210134128166926 kappa 0.45193929173693087 kappa 0.21441774491682059 kappa 0.08207343412526993 kappa 0.13087934560327202 kappa 0.187928669410151 kappa 0.06141522029372485 kb_relative_information_score 0.15799379522552992 kb_relative_information_score 0.20817383166448747 kb_relative_information_score 0.025804100404640824 kb_relative_information_score 0.08663463419378893 kb_relative_information_score 0.24211314791836372 kb_relative_information_score 0.0876553778100879 kb_relative_information_score 0.08214314557478913 kb_relative_information_score 0.0623426968118159 kb_relative_information_score 0.10366902198887827 kb_relative_information_score 0.06528596208998416 mean_absolute_error 0.291298922031214 mean_absolute_error 0.28325926291173237 mean_absolute_error 0.31941222117523177 mean_absolute_error 0.31054518032380896 mean_absolute_error 0.27301809848826125 mean_absolute_error 0.3122235775387283 mean_absolute_error 0.32353167119952014 mean_absolute_error 0.32977337533232565 mean_absolute_error 0.31181001443562506 mean_absolute_error 0.3240556586260192 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.35873873873873896 mean_prior_absolute_error 0.35873873873873896 number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 74 [57,17] number_of_instances 74 [57,17] precision 0.7436363636363637 [0.80303,0.555556] precision 0.728 [0.8,0.5] precision 0.6380281690140844 [0.760563,0.25] precision 0.7419066937119675 [0.827586,0.470588] precision 0.8157954545454545 [0.84375,0.727273] precision 0.740672268907563 [0.794118,0.571429] precision 0.8254054054054054 [0.77027,1] precision 0.7511111111111112 [0.777778,0.666667] precision 0.7518213866039952 [0.797101,0.6] precision 0.6769342872284049 [0.779412,0.333333] predictive_accuracy 0.7733333333333333 predictive_accuracy 0.76 predictive_accuracy 0.7333333333333333 predictive_accuracy 0.7466666666666667 predictive_accuracy 0.8266666666666667 predictive_accuracy 0.7733333333333333 predictive_accuracy 0.7733333333333333 predictive_accuracy 0.7733333333333333 predictive_accuracy 0.7837837837837838 predictive_accuracy 0.7432432432432432 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7778597106646706 prior_entropy 0.7778597106646706 recall 0.7733333333333333 [0.929825,0.277778] recall 0.76 [0.912281,0.277778] recall 0.7333333333333333 [0.947368,0.055556] recall 0.7466666666666667 [0.842105,0.444444] recall 0.8266666666666667 [0.947368,0.444444] recall 0.7733333333333333 [0.947368,0.222222] recall 0.7733333333333333 [1,0.055556] recall 0.7733333333333333 [0.982456,0.111111] recall 0.7837837837837838 [0.964912,0.176471] recall 0.7432432432432432 [0.929825,0.117647] relative_absolute_error 0.8000373206511293 relative_absolute_error 0.77795681552585 relative_absolute_error 0.8772490328161114 relative_absolute_error 0.8528961668480174 relative_absolute_error 0.749829990721385 relative_absolute_error 0.8575057974001982 relative_absolute_error 0.888562887797129 relative_absolute_error 0.9057054031757877 relative_absolute_error 0.8691841185925254 relative_absolute_error 0.9033193899419415 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4207539065176338 root_mean_prior_squared_error 0.4207539065176338 root_mean_squared_error 0.4044881746141092 root_mean_squared_error 0.37589379790125316 root_mean_squared_error 0.448362328268741 root_mean_squared_error 0.43187589904711565 root_mean_squared_error 0.365262646906157 root_mean_squared_error 0.41523406224479137 root_mean_squared_error 0.3910497699305854 root_mean_squared_error 0.3995064226048419 root_mean_squared_error 0.38624310189128314 root_mean_squared_error 0.3991119848527223 root_relative_squared_error 0.9470900978028104 root_relative_squared_error 0.880137705280024 root_relative_squared_error 1.0498193716942488 root_relative_squared_error 1.0112171705821285 root_relative_squared_error 0.855245363630462 root_relative_squared_error 0.9722510899055591 root_relative_squared_error 0.9156247032503626 root_relative_squared_error 0.935425559025657 root_relative_squared_error 0.9179786471574822 root_relative_squared_error 0.9485639436029705 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 wall_clock_time_millis 4342.195510864258 wall_clock_time_millis 4460.150718688965 wall_clock_time_millis 4447.715520858765 wall_clock_time_millis 4545.820713043213 wall_clock_time_millis 4689.261674880981 wall_clock_time_millis 4748.64935874939 wall_clock_time_millis 4668.3032512664795 wall_clock_time_millis 4698.417186737061 wall_clock_time_millis 4742.542743682861 wall_clock_time_millis 4638.992786407471 wall_clock_time_millis_testing 1.3191699981689453 wall_clock_time_millis_testing 1.3096332550048828 wall_clock_time_millis_testing 1.1029243469238281 wall_clock_time_millis_testing 1.0843276977539062 wall_clock_time_millis_testing 1.2204647064208984 wall_clock_time_millis_testing 1.100301742553711 wall_clock_time_millis_testing 1.1057853698730469 wall_clock_time_millis_testing 1.252889633178711 wall_clock_time_millis_testing 1.2743473052978516 wall_clock_time_millis_testing 1.064300537109375 wall_clock_time_millis_training 4340.876340866089 wall_clock_time_millis_training 4458.84108543396 wall_clock_time_millis_training 4446.612596511841 wall_clock_time_millis_training 4544.736385345459 wall_clock_time_millis_training 4688.041210174561 wall_clock_time_millis_training 4747.549057006836 wall_clock_time_millis_training 4667.197465896606 wall_clock_time_millis_training 4697.164297103882 wall_clock_time_millis_training 4741.2683963775635 wall_clock_time_millis_training 4637.928485870361