10586463 28997 Marc Boel 9977 Supervised Classification 19039 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),gradientboostingclassifier=sklearn.ensemble._gb.GradientBoostingClassifier)(2) 8302745 Python_3.7.12. Sklearn_1.0.1. NumPy_1.19.5. SciPy_1.4.1. n_jobs null 19031 remainder "drop" 19031 sparse_threshold 0.3 19031 transformer_weights null 19031 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cont"}}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cat"}}}] 19031 verbose false 19031 verbose_feature_names_out true 19031 add_indicator false 19032 copy true 19032 fill_value null 19032 missing_values NaN 19032 strategy "mean" 19032 verbose 0 19032 categories "auto" 19033 drop null 19033 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 19033 handle_unknown "ignore" 19033 sparse true 19033 memory null 19039 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}] 19039 verbose false 19039 ccp_alpha 0.0 19040 criterion "friedman_mse" 19040 init null 19040 learning_rate 0.778980110002288 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1773 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 49 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 2 19040 random_state 2268 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.31105249926051864 19040 verbose 0 19040 warm_start false 19040 openml-python Sklearn_1.0.1. 1486 nomao https://www.openml.org/data/download/1592278/phpDYCOet -1 22099196 description https://api.openml.org/data/download/22099196/description.xml -1 22099197 predictions https://api.openml.org/data/download/22099197/predictions.arff area_under_roc_curve 0.9912239790906698 [0.991224,0.991224] average_cost 0 f_measure 0.9601722409485811 [0.930083,0.972203] kappa 0.9022862657368739 kb_relative_information_score 0.8636572188002514 mean_absolute_error 0.056371939308168896 mean_prior_absolute_error 0.4080904194746198 weighted_recall 0.9602205135644857 [0.926351,0.973762] number_of_instances 34465 [9844,24621] precision 0.9601361558053998 [0.933845,0.970648] predictive_accuracy 0.9602205135644857 prior_entropy 0.8629999933345911 relative_absolute_error 0.13813590473587387 root_mean_prior_squared_error 0.4517106852187937 root_mean_squared_error 0.17288909510004716 root_relative_squared_error 0.3827429829699631 total_cost 0 unweighted_recall 0.9500566561440392 [0.926351,0.973762] area_under_roc_curve 0.9924547943713297 [0.992455,0.992455] area_under_roc_curve 0.9914097325025669 [0.99141,0.99141] area_under_roc_curve 0.989077016333549 [0.989077,0.989077] area_under_roc_curve 0.9914396285468048 [0.99144,0.99144] area_under_roc_curve 0.9920657960388772 [0.992066,0.992066] area_under_roc_curve 0.990920528620396 [0.990921,0.990921] area_under_roc_curve 0.9903684376506641 [0.990368,0.990368] area_under_roc_curve 0.9933012274375382 [0.993301,0.993301] area_under_roc_curve 0.9885788373521427 [0.988579,0.988579] area_under_roc_curve 0.9925078675543051 [0.992508,0.992508] 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 0.9648592657821392 [0.938297,0.975471] f_measure 0.9631168276365625 [0.935303,0.974245] f_measure 0.9571797260923269 [0.925553,0.969833] f_measure 0.9604724584443989 [0.930541,0.972447] f_measure 0.9543760338135638 [0.919857,0.968186] f_measure 0.9583537209535051 [0.926478,0.971094] f_measure 0.9593483029571597 [0.928717,0.971591] f_measure 0.9640162507254788 [0.936992,0.974817] f_measure 0.9578377272842257 [0.925831,0.97063] f_measure 0.9621577463303701 [0.933265,0.973706] kappa 0.9137685397732523 kappa 0.909548140512389 kappa 0.8953896528121529 kappa 0.9029901399217287 kappa 0.8880448946635766 kappa 0.8975773722351618 kappa 0.9003079781720678 kappa 0.9118090916896171 kappa 0.8964629521496261 kappa 0.9069742523137034 kb_relative_information_score 0.8735734202414327 kb_relative_information_score 0.8668211639693253 kb_relative_information_score 0.8562252349719948 kb_relative_information_score 0.8621156151139914 kb_relative_information_score 0.8590693580238364 kb_relative_information_score 0.853589225084885 kb_relative_information_score 0.8629036627357362 kb_relative_information_score 0.8744193063651852 kb_relative_information_score 0.8591170202050242 kb_relative_information_score 0.8687428841079501 mean_absolute_error 0.05266182740976246 mean_absolute_error 0.05565735500592513 mean_absolute_error 0.05904484357772568 mean_absolute_error 0.057240945406945645 mean_absolute_error 0.05735479155835252 mean_absolute_error 0.06042339342936045 mean_absolute_error 0.056183819937983964 mean_absolute_error 0.05202819566391091 mean_absolute_error 0.05861186125576269 mean_absolute_error 0.054512330797535175 mean_prior_absolute_error 0.4080229059806574 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 number_of_instances 3447 [984,2463] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] precision 0.9648311527352191 [0.941658,0.974089] precision 0.9630868893515487 [0.93865,0.972864] precision 0.9573573565423636 [0.917248,0.973404] precision 0.9604277016175419 [0.93628,0.970089] precision 0.9543223672592229 [0.925051,0.966033] precision 0.958308823300407 [0.937565,0.9666] precision 0.959326534329878 [0.930612,0.970803] precision 0.9640162507254788 [0.936992,0.974817] precision 0.9577862229733651 [0.932029,0.968081] precision 0.9621193477920484 [0.942946,0.969782] predictive_accuracy 0.964897011894401 predictive_accuracy 0.9631563678561068 predictive_accuracy 0.9570641137220771 predictive_accuracy 0.9605454017986655 predictive_accuracy 0.954453147664636 predictive_accuracy 0.9585026117237376 predictive_accuracy 0.9593731863029599 predictive_accuracy 0.9640162507254789 predictive_accuracy 0.9579222286709228 predictive_accuracy 0.9622751015670343 prior_entropy 0.862791736866817 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 relative_absolute_error 0.12906586036681708 relative_absolute_error 0.13636585926452777 relative_absolute_error 0.14466553124486486 relative_absolute_error 0.14024580766910488 relative_absolute_error 0.14052474166190612 relative_absolute_error 0.1480753495270747 relative_absolute_error 0.13768572572490922 relative_absolute_error 0.12750183034991758 relative_absolute_error 0.14363595536927015 relative_absolute_error 0.1335895251533207 root_mean_prior_squared_error 0.4516359481339797 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_squared_error 0.16444148457284777 root_mean_squared_error 0.17069459719974345 root_mean_squared_error 0.1794167558420344 root_mean_squared_error 0.17203440415227972 root_mean_squared_error 0.17875739001310703 root_mean_squared_error 0.17944028917857163 root_mean_squared_error 0.17260054084677529 root_mean_squared_error 0.16547019804887483 root_mean_squared_error 0.17526987818803538 root_mean_squared_error 0.16999563549414323 root_relative_squared_error 0.3641018507323635 root_relative_squared_error 0.3778321447986799 root_relative_squared_error 0.39713862526820987 root_relative_squared_error 0.38079780477150604 root_relative_squared_error 0.39567912034281927 root_relative_squared_error 0.3972772097613377 root_relative_squared_error 0.38213414381352423 root_relative_squared_error 0.36634770753235707 root_relative_squared_error 0.3880440032754215 root_relative_squared_error 0.37636693548520855 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 0.9559084202291475 [0.934959,0.976857] unweighted_recall 0.9538046324435996 [0.93198,0.97563] unweighted_recall 0.9501488616823432 [0.93401,0.966288] unweighted_recall 0.9498451591088093 [0.924873,0.974817] unweighted_recall 0.9425350608436045 [0.914721,0.970349] unweighted_recall 0.945639987979896 [0.91565,0.97563] unweighted_recall 0.9496047235045868 [0.926829,0.97238] unweighted_recall 0.9559045458448086 [0.936992,0.974817] unweighted_recall 0.9464539867778856 [0.919715,0.973193] unweighted_recall 0.950720463236314 [0.92378,0.97766] usercpu_time_millis 13581.792377997772 usercpu_time_millis 11529.394098000921 usercpu_time_millis 12183.282873997086 usercpu_time_millis 8525.134338000498 usercpu_time_millis 11788.289403000817 usercpu_time_millis 9412.008695002442 usercpu_time_millis 12057.40226400303 usercpu_time_millis 12591.247448002832 usercpu_time_millis 9856.704335998074 usercpu_time_millis 10265.566661997582 usercpu_time_millis_testing 72.00107899916475 usercpu_time_millis_testing 71.86616200124263 usercpu_time_millis_testing 71.43758799793432 usercpu_time_millis_testing 69.34508199992706 usercpu_time_millis_testing 69.81799500135821 usercpu_time_millis_testing 70.4163830014295 usercpu_time_millis_testing 70.42930200259434 usercpu_time_millis_testing 71.86528199963504 usercpu_time_millis_testing 72.53522599785356 usercpu_time_millis_testing 41.305153998109745 usercpu_time_millis_training 13509.791298998607 usercpu_time_millis_training 11457.527935999678 usercpu_time_millis_training 12111.845285999152 usercpu_time_millis_training 8455.789256000571 usercpu_time_millis_training 11718.47140799946 usercpu_time_millis_training 9341.592312001012 usercpu_time_millis_training 11986.972962000436 usercpu_time_millis_training 12519.382166003197 usercpu_time_millis_training 9784.16911000022 usercpu_time_millis_training 10224.261507999472 wall_clock_time_millis 13835.067510604858 wall_clock_time_millis 11752.441883087158 wall_clock_time_millis 12418.445825576782 wall_clock_time_millis 8682.94644355774 wall_clock_time_millis 11973.331689834595 wall_clock_time_millis 9631.151914596558 wall_clock_time_millis 12282.201528549194 wall_clock_time_millis 12845.192432403564 wall_clock_time_millis 9979.673862457275 wall_clock_time_millis 10467.52953529358 wall_clock_time_millis_testing 72.30305671691895 wall_clock_time_millis_testing 75.52814483642578 wall_clock_time_millis_testing 85.09135246276855 wall_clock_time_millis_testing 69.6256160736084 wall_clock_time_millis_testing 70.80221176147461 wall_clock_time_millis_testing 70.6336498260498 wall_clock_time_millis_testing 70.60456275939941 wall_clock_time_millis_testing 85.78634262084961 wall_clock_time_millis_testing 72.62897491455078 wall_clock_time_millis_testing 41.35942459106445 wall_clock_time_millis_training 13762.76445388794 wall_clock_time_millis_training 11676.913738250732 wall_clock_time_millis_training 12333.354473114014 wall_clock_time_millis_training 8613.32082748413 wall_clock_time_millis_training 11902.52947807312 wall_clock_time_millis_training 9560.518264770508 wall_clock_time_millis_training 12211.596965789795 wall_clock_time_millis_training 12759.406089782715 wall_clock_time_millis_training 9907.044887542725 wall_clock_time_millis_training 10426.170110702515 weighted_recall 0.9648970118944009 [0.934959,0.976857] weighted_recall 0.9631563678561068 [0.93198,0.97563] weighted_recall 0.9570641137220771 [0.93401,0.966288] weighted_recall 0.9605454017986655 [0.924873,0.974817] weighted_recall 0.954453147664636 [0.914721,0.970349] weighted_recall 0.9585026117237376 [0.91565,0.97563] weighted_recall 0.95937318630296 [0.926829,0.97238] weighted_recall 0.9640162507254788 [0.936992,0.974817] weighted_recall 0.9579222286709228 [0.919715,0.973193] weighted_recall 0.9622751015670342 [0.92378,0.97766]