10437723 10468 Nicolas Hug 146195 Supervised Classification 17374 sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(4) 8260864 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 6208 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. 40668 connect-4 https://www.openml.org/data/download/4965243/connect-4.arff -1 21799668 description https://api.openml.org/data/download/21799668/description.xml -1 21799669 predictions https://api.openml.org/data/download/21799669/predictions.arff -1 21799670 trace https://api.openml.org/data/download/21799670/trace.arff area_under_roc_curve 0.9565284328452212 [0.874006,0.966273,0.96485] average_cost 0 f_measure 0.847809061196956 [0.395544,0.819175,0.924102] kappa 0.7023112956730156 kb_relative_information_score 0.611559728277404 mean_absolute_error 0.13666995290699097 mean_prior_absolute_error 0.3312661139316681 weighted_recall 0.8583418446645056 [0.311056,0.826931,0.949452] number_of_instances 67557 [6449,16635,44473] precision 0.8441948091581509 [0.543043,0.811563,0.90007] predictive_accuracy 0.8583418446645055 prior_entropy 1.2184443574876134 relative_absolute_error 0.41256846734158437 root_mean_prior_squared_error 0.4069773263039227 root_mean_squared_error 0.2581169171900757 root_relative_squared_error 0.6342292322135878 total_cost 0 unweighted_recall 0.6958132078920481 [0.311056,0.826931,0.949452] area_under_roc_curve 0.9586908208439159 [0.879833,0.966535,0.967193] area_under_roc_curve 0.9562773985392886 [0.871244,0.966747,0.964694] area_under_roc_curve 0.9610866245373595 [0.885629,0.970924,0.968351] area_under_roc_curve 0.9543217008686118 [0.874589,0.961552,0.963181] area_under_roc_curve 0.9564929311127142 [0.870684,0.96764,0.964768] area_under_roc_curve 0.9543297594076894 [0.874482,0.964804,0.961992] area_under_roc_curve 0.9569711637819655 [0.875126,0.967956,0.964732] area_under_roc_curve 0.9568591763300344 [0.871917,0.966902,0.965402] area_under_roc_curve 0.9566974663522277 [0.878839,0.964401,0.965109] area_under_roc_curve 0.9551412175508642 [0.860815,0.967036,0.964374] 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 0.8468186554496269 [0.380665,0.815696,0.926051] f_measure 0.8462113724356546 [0.39726,0.814837,0.923043] f_measure 0.8562670166910424 [0.403131,0.837057,0.929158] f_measure 0.8486974226362068 [0.433515,0.805802,0.924967] f_measure 0.8507022905733088 [0.411765,0.826929,0.923262] f_measure 0.8446151139421445 [0.384845,0.816968,0.921646] f_measure 0.8406873330811727 [0.346774,0.817595,0.920966] f_measure 0.8468527199255571 [0.386965,0.819162,0.923814] f_measure 0.8508503263520445 [0.43083,0.815861,0.924855] f_measure 0.8458937574605863 [0.374374,0.821885,0.923262] kappa 0.7017242924806373 kappa 0.6976536121930356 kappa 0.7197475815462844 kappa 0.7009154275589341 kappa 0.7075307587675616 kappa 0.6966050076870105 kappa 0.6913300091247983 kappa 0.7011403575313986 kappa 0.706671304102688 kappa 0.6998019958975965 kb_relative_information_score 0.6144770764974942 kb_relative_information_score 0.6057979192366209 kb_relative_information_score 0.6262302444113589 kb_relative_information_score 0.6211898239957565 kb_relative_information_score 0.6099619237818094 kb_relative_information_score 0.6084294043528403 kb_relative_information_score 0.605355573930151 kb_relative_information_score 0.6094830628205444 kb_relative_information_score 0.6119487398342144 kb_relative_information_score 0.602722622191967 mean_absolute_error 0.13608928758984076 mean_absolute_error 0.13847132627561917 mean_absolute_error 0.13327600003802637 mean_absolute_error 0.13107532600733088 mean_absolute_error 0.13848754734349233 mean_absolute_error 0.1382127337438673 mean_absolute_error 0.13893555611880617 mean_absolute_error 0.13662941937636036 mean_absolute_error 0.13677789660674763 mean_absolute_error 0.13874475305245645 mean_prior_absolute_error 0.33124674360604567 mean_prior_absolute_error 0.33124674360604567 mean_prior_absolute_error 0.33124674360604567 mean_prior_absolute_error 0.33128740361684467 mean_prior_absolute_error 0.33128740361684467 mean_prior_absolute_error 0.33128740361684467 mean_prior_absolute_error 0.33128740361684467 mean_prior_absolute_error 0.33124717680195626 mean_prior_absolute_error 0.33126205661307934 mean_prior_absolute_error 0.33126205661307934 number_of_instances 6756 [645,1663,4448] number_of_instances 6756 [645,1663,4448] number_of_instances 6756 [645,1663,4448] number_of_instances 6756 [645,1664,4447] number_of_instances 6756 [645,1664,4447] number_of_instances 6756 [645,1664,4447] number_of_instances 6756 [645,1664,4447] number_of_instances 6755 [644,1664,4447] number_of_instances 6755 [645,1663,4447] number_of_instances 6755 [645,1663,4447] precision 0.8433100876866535 [0.543103,0.806584,0.900574] precision 0.8424247909313295 [0.538462,0.817302,0.895895] precision 0.8525885774451325 [0.546419,0.829398,0.905656] precision 0.8451537273030427 [0.525386,0.794049,0.910656] precision 0.8474892763324792 [0.56,0.819846,0.899531] precision 0.8410306766159449 [0.539106,0.806678,0.897676] precision 0.8361341124514635 [0.495677,0.798396,0.899635] precision 0.8439729333927538 [0.56213,0.816229,0.89517] precision 0.8485209281384871 [0.594005,0.815126,0.897925] precision 0.8419642280985481 [0.528249,0.812941,0.89832] predictive_accuracy 0.8584961515689757 predictive_accuracy 0.8567199526346951 predictive_accuracy 0.8664890467732386 predictive_accuracy 0.8552397868561279 predictive_accuracy 0.8607164002368265 predictive_accuracy 0.855683836589698 predictive_accuracy 0.8527235050325637 predictive_accuracy 0.858919319022946 predictive_accuracy 0.8609918578830497 predictive_accuracy 0.857438934122872 prior_entropy 1.2183532771387544 prior_entropy 1.2183532771387544 prior_entropy 1.2183532771387544 prior_entropy 1.218563261386341 prior_entropy 1.218563261386341 prior_entropy 1.218563261386341 prior_entropy 1.218563261386341 prior_entropy 1.2182419830738163 prior_entropy 1.21844434244087 prior_entropy 1.21844434244087 relative_absolute_error 0.41083962398644075 relative_absolute_error 0.4180307548632212 relative_absolute_error 0.4023465969420444 relative_absolute_error 0.39565442143682583 relative_absolute_error 0.4180284122835595 relative_absolute_error 0.41719887999037625 relative_absolute_error 0.4193807389051657 relative_absolute_error 0.4124696871244503 relative_absolute_error 0.4128993764187938 relative_absolute_error 0.41883684014711375 root_mean_prior_squared_error 0.40695352781344096 root_mean_prior_squared_error 0.40695352781344096 root_mean_prior_squared_error 0.40695352781344096 root_mean_prior_squared_error 0.4070034813249195 root_mean_prior_squared_error 0.4070034813249195 root_mean_prior_squared_error 0.4070034813249195 root_mean_prior_squared_error 0.4070034813249195 root_mean_prior_squared_error 0.40695406005557394 root_mean_prior_squared_error 0.40697234157475465 root_mean_prior_squared_error 0.40697234157475465 root_mean_squared_error 0.25625542371846416 root_mean_squared_error 0.25892328933966535 root_mean_squared_error 0.2510086713239137 root_mean_squared_error 0.2627799174559395 root_mean_squared_error 0.25723941787479554 root_mean_squared_error 0.2604874298249649 root_mean_squared_error 0.2585465136100376 root_mean_squared_error 0.2579389301354903 root_mean_squared_error 0.25811788115406104 root_mean_squared_error 0.25970625038721834 root_relative_squared_error 0.6296921053745943 root_relative_squared_error 0.6362478063056948 root_relative_squared_error 0.6167993497257092 root_relative_squared_error 0.6456453802324034 root_relative_squared_error 0.6320324755881778 root_relative_squared_error 0.6400127806695892 root_relative_squared_error 0.6352439855511567 root_relative_squared_error 0.6338281281682409 root_relative_squared_error 0.6342393690816669 root_relative_squared_error 0.6381422614183088 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 0.6903502929382571 [0.293023,0.825015,0.953013] unweighted_recall 0.6930014744444918 [0.314729,0.812387,0.951888] unweighted_recall 0.7060501348602976 [0.31938,0.844859,0.953912] unweighted_recall 0.7088785181609797 [0.368992,0.817909,0.939735] unweighted_recall 0.7026652499611471 [0.325581,0.834135,0.94828] unweighted_recall 0.6912264532056634 [0.299225,0.827524,0.946931] unweighted_recall 0.6825798783487955 [0.266667,0.83774,0.943333] unweighted_recall 0.6904992295161291 [0.295031,0.822115,0.954351] unweighted_recall 0.7026775912287135 [0.337984,0.816597,0.953452] unweighted_recall 0.6901932353810066 [0.289922,0.831028,0.949629] usercpu_time_millis 12007.528761 usercpu_time_millis 12070.964736999998 usercpu_time_millis 12325.450885999995 usercpu_time_millis 11088.855248000002 usercpu_time_millis 11471.354120999998 usercpu_time_millis 11976.63752400001 usercpu_time_millis 11905.064337000013 usercpu_time_millis 11935.063792000008 usercpu_time_millis 12040.932653000013 usercpu_time_millis 12033.906433000013 usercpu_time_millis_testing 101.8750500000003 usercpu_time_millis_testing 97.15588699999955 usercpu_time_millis_testing 100.10892399999705 usercpu_time_millis_testing 96.66473700000466 usercpu_time_millis_testing 98.32056799999833 usercpu_time_millis_testing 99.95723900000542 usercpu_time_millis_testing 100.52010500000108 usercpu_time_millis_testing 100.40805600000624 usercpu_time_millis_testing 102.70037800000864 usercpu_time_millis_testing 100.3415590000003 usercpu_time_millis_training 11905.653710999999 usercpu_time_millis_training 11973.80885 usercpu_time_millis_training 12225.341961999999 usercpu_time_millis_training 10992.190510999997 usercpu_time_millis_training 11373.033553 usercpu_time_millis_training 11876.680285000006 usercpu_time_millis_training 11804.544232000011 usercpu_time_millis_training 11834.655736000002 usercpu_time_millis_training 11938.232275000004 usercpu_time_millis_training 11933.564874000012 wall_clock_time_millis 224048.1960773468 wall_clock_time_millis 226472.46193885803 wall_clock_time_millis 223814.52178955078 wall_clock_time_millis 223733.30116271973 wall_clock_time_millis 223545.9530353546 wall_clock_time_millis 228038.41018676758 wall_clock_time_millis 222798.08950424194 wall_clock_time_millis 227476.37963294983 wall_clock_time_millis 224773.16617965698 wall_clock_time_millis 222372.820854187 wall_clock_time_millis_testing 101.80830955505371 wall_clock_time_millis_testing 97.08786010742188 wall_clock_time_millis_testing 100.04425048828125 wall_clock_time_millis_testing 96.6024398803711 wall_clock_time_millis_testing 98.25634956359863 wall_clock_time_millis_testing 99.89047050476074 wall_clock_time_millis_testing 100.45337677001953 wall_clock_time_millis_testing 100.3410816192627 wall_clock_time_millis_testing 102.630615234375 wall_clock_time_millis_testing 100.27503967285156 wall_clock_time_millis_training 223946.38776779175 wall_clock_time_millis_training 226375.3740787506 wall_clock_time_millis_training 223714.4775390625 wall_clock_time_millis_training 223636.69872283936 wall_clock_time_millis_training 223447.69668579102 wall_clock_time_millis_training 227938.51971626282 wall_clock_time_millis_training 222697.63612747192 wall_clock_time_millis_training 227376.03855133057 wall_clock_time_millis_training 224670.5355644226 wall_clock_time_millis_training 222272.54581451416 weighted_recall 0.8584961515689757 [0.293023,0.825015,0.953013] weighted_recall 0.8567199526346951 [0.314729,0.812387,0.951888] weighted_recall 0.8664890467732386 [0.31938,0.844859,0.953912] weighted_recall 0.8552397868561279 [0.368992,0.817909,0.939735] weighted_recall 0.8607164002368265 [0.325581,0.834135,0.94828] weighted_recall 0.855683836589698 [0.299225,0.827524,0.946931] weighted_recall 0.8527235050325637 [0.266667,0.83774,0.943333] weighted_recall 0.8589193190229459 [0.295031,0.822115,0.954351] weighted_recall 0.8609918578830495 [0.337984,0.816597,0.953452] weighted_recall 0.857438934122872 [0.289922,0.831028,0.949629]