10418904 10580 Thomas Fan 9978 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. 1487 ozone-level-8hr https://www.openml.org/data/download/1592279/phpdReP6S -1 21760279 description https://api.openml.org/data/download/21760279/description.xml -1 21760280 predictions https://api.openml.org/data/download/21760280/predictions.arff -1 21760281 trace https://api.openml.org/data/download/21760281/trace.arff area_under_roc_curve 0.8879554549283909 [0.887955,0.887955] average_cost 0 f_measure 0.9130580369518223 [0.967702,0.102273] kappa 0.09184691877767215 kb_relative_information_score -0.06920341706817967 mean_absolute_error 0.09501619256798591 mean_prior_absolute_error 0.11860993329831554 number_of_instances 2534 [2374,160] precision 0.9161939324942497 [0.940032,0.5625] predictive_accuracy 0.9376479873717443 prior_entropy 0.33979186786586124 recall 0.9376479873717443 [0.997051,0.05625] relative_absolute_error 0.8010812410543299 root_mean_prior_squared_error 0.24321713805631198 root_mean_squared_error 0.2162851371134303 root_relative_squared_error 0.8892676677387508 total_cost 0 area_under_roc_curve 0.8776260504201681 [0.877626,0.877626] area_under_roc_curve 0.9332983193277311 [0.933298,0.933298] area_under_roc_curve 0.8346901260504201 [0.83469,0.83469] area_under_roc_curve 0.9288340336134453 [0.928834,0.928834] area_under_roc_curve 0.9224683544303798 [0.922468,0.922468] area_under_roc_curve 0.8705168776371308 [0.870517,0.870517] area_under_roc_curve 0.845464135021097 [0.845464,0.845464] area_under_roc_curve 0.9074367088607594 [0.907437,0.907437] area_under_roc_curve 0.9377637130801688 [0.937764,0.937764] area_under_roc_curve 0.868539029535865 [0.868539,0.868539] 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 0.9290241383761457 [0.971311,0.3] f_measure 0.9157932172339726 [0.96945,0.117647] f_measure 0.9154640881062044 [0.969325,0.117647] f_measure 0.9210892368501065 [0.9625,0.307692] kappa 0.2819063004846525 kappa 0 kappa 0 kappa 0.11105926271581884 kappa 0.11103302881236884 kappa 0 kappa 0 kappa 0 kappa 0.2722914669223389 kappa 0 kb_relative_information_score -0.19577515660787312 kb_relative_information_score -0.021727616832052387 kb_relative_information_score -0.23143786184502638 kb_relative_information_score 0.03560122233638224 kb_relative_information_score -0.03857438831056675 kb_relative_information_score -0.12886611257803213 kb_relative_information_score -0.030663643652974963 kb_relative_information_score -0.04902445326483762 kb_relative_information_score 0.013753635925500121 kb_relative_information_score -0.045169688468246046 mean_absolute_error 0.10266433425274735 mean_absolute_error 0.09468292234489074 mean_absolute_error 0.1015259031081293 mean_absolute_error 0.09254126925167204 mean_absolute_error 0.09285922653716999 mean_absolute_error 0.0981073805416168 mean_absolute_error 0.09537779023472784 mean_absolute_error 0.09691314834550921 mean_absolute_error 0.07881958754557016 mean_absolute_error 0.09662550320681139 mean_prior_absolute_error 0.11847971882063642 mean_prior_absolute_error 0.11847971882063642 mean_prior_absolute_error 0.11847971882063642 mean_prior_absolute_error 0.11847971882063642 mean_prior_absolute_error 0.11869708607124604 mean_prior_absolute_error 0.11869708607124604 mean_prior_absolute_error 0.11869708607124604 mean_prior_absolute_error 0.11869708607124604 mean_prior_absolute_error 0.11869708607124604 mean_prior_absolute_error 0.11869708607124604 number_of_instances 254 [238,16] number_of_instances 254 [238,16] number_of_instances 254 [238,16] number_of_instances 254 [238,16] number_of_instances 253 [237,16] number_of_instances 253 [237,16] number_of_instances 253 [237,16] number_of_instances 253 [237,16] number_of_instances 253 [237,16] number_of_instances 253 [237,16] precision 0.9355275590551181 [0.948,0.75] precision 0.9444461734773272 [0.940711,1] precision 0.944240542066629 [0.940476,1] precision 0.915795637534768 [0.950617,0.4] predictive_accuracy 0.9448818897637795 predictive_accuracy 0.937007874015748 predictive_accuracy 0.937007874015748 predictive_accuracy 0.9409448818897639 predictive_accuracy 0.9407114624505928 predictive_accuracy 0.9367588932806323 predictive_accuracy 0.9367588932806323 predictive_accuracy 0.9367588932806323 predictive_accuracy 0.9288537549407114 predictive_accuracy 0.9367588932806323 prior_entropy 0.3392127388048247 prior_entropy 0.3392127388048247 prior_entropy 0.3392127388048247 prior_entropy 0.3392127388048247 prior_entropy 0.3401794799383073 prior_entropy 0.3401794799383073 prior_entropy 0.3401794799383073 prior_entropy 0.3401794799383073 prior_entropy 0.3401794799383073 prior_entropy 0.3401794799383073 recall 0.9448818897637795 [0.995798,0.1875] recall 0.937007874015748 [1,0] recall 0.937007874015748 [1,0] recall 0.9409448818897638 [1,0.0625] recall 0.9407114624505929 [1,0.0625] recall 0.9367588932806324 [1,0] recall 0.9367588932806324 [1,0] recall 0.9367588932806324 [1,0] recall 0.9288537549407114 [0.974684,0.25] recall 0.9367588932806324 [1,0] relative_absolute_error 0.866513993067188 relative_absolute_error 0.7991487765786222 relative_absolute_error 0.8569053346744256 relative_absolute_error 0.7810726609823242 relative_absolute_error 0.7823210291904953 relative_absolute_error 0.8265357119443472 relative_absolute_error 0.8035394413766723 relative_absolute_error 0.8164745365976266 relative_absolute_error 0.6640397852585862 relative_absolute_error 0.8140511819204513 root_mean_prior_squared_error 0.24294929875723142 root_mean_prior_squared_error 0.24294929875723142 root_mean_prior_squared_error 0.24294929875723142 root_mean_prior_squared_error 0.24294929875723142 root_mean_prior_squared_error 0.24339623870807886 root_mean_prior_squared_error 0.24339623870807886 root_mean_prior_squared_error 0.24339623870807886 root_mean_prior_squared_error 0.24339623870807886 root_mean_prior_squared_error 0.24339623870807886 root_mean_prior_squared_error 0.24339623870807886 root_mean_squared_error 0.21646353503471252 root_mean_squared_error 0.22068024911994402 root_mean_squared_error 0.22248463422338086 root_mean_squared_error 0.2063302930479945 root_mean_squared_error 0.19878280437664145 root_mean_squared_error 0.22106047312323415 root_mean_squared_error 0.21874156026080202 root_mean_squared_error 0.21565051137717317 root_mean_squared_error 0.22065139698038014 root_mean_squared_error 0.22077219353835242 root_relative_squared_error 0.8909823413444591 root_relative_squared_error 0.9083386955582866 root_relative_squared_error 0.9157656982813522 root_relative_squared_error 0.849273054515672 root_relative_squared_error 0.8167045038648061 root_relative_squared_error 0.9082329057203161 root_relative_squared_error 0.8987055897899604 root_relative_squared_error 0.8860059322273137 root_relative_squared_error 0.9065522053733208 root_relative_squared_error 0.9070485012841101 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 7667.74845123291 wall_clock_time_millis 7604.607343673706 wall_clock_time_millis 8055.700778961182 wall_clock_time_millis 7788.484811782837 wall_clock_time_millis 8062.493085861206 wall_clock_time_millis 8144.803285598755 wall_clock_time_millis 8909.946918487549 wall_clock_time_millis 8347.615957260132 wall_clock_time_millis 7976.092576980591 wall_clock_time_millis 7167.89984703064 wall_clock_time_millis_testing 1.2929439544677734 wall_clock_time_millis_testing 1.2731552124023438 wall_clock_time_millis_testing 1.352071762084961 wall_clock_time_millis_testing 1.3356208801269531 wall_clock_time_millis_testing 1.3110637664794922 wall_clock_time_millis_testing 1.3072490692138672 wall_clock_time_millis_testing 1.331329345703125 wall_clock_time_millis_testing 1.407623291015625 wall_clock_time_millis_testing 1.3196468353271484 wall_clock_time_millis_testing 1.28936767578125 wall_clock_time_millis_training 7666.455507278442 wall_clock_time_millis_training 7603.334188461304 wall_clock_time_millis_training 8054.348707199097 wall_clock_time_millis_training 7787.14919090271 wall_clock_time_millis_training 8061.182022094727 wall_clock_time_millis_training 8143.496036529541 wall_clock_time_millis_training 8908.615589141846 wall_clock_time_millis_training 8346.208333969116 wall_clock_time_millis_training 7974.772930145264 wall_clock_time_millis_training 7166.610479354858