10584462 28997 Marc Boel 9960 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) 8300744 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 "most_frequent" 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 0.1959813622403977 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1673 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 88 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 13 19040 random_state 43688 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.10291507658290527 19040 verbose 0 19040 warm_start false 19040 openml-python Sklearn_1.0.1. 1497 wall-robot-navigation https://www.openml.org/data/download/1592289/phpVeNa5j -1 22095192 description https://api.openml.org/data/download/22095192/description.xml -1 22095193 predictions https://api.openml.org/data/download/22095193/predictions.arff area_under_roc_curve 0.9998921962442029 [0.999788,0.999995,0.999664,1] average_cost 0 f_measure 0.9977981410574509 [0.997734,0.998331,0.990798,0.999394] kappa 0.9966782113097387 kb_relative_information_score 0.9958877408062401 mean_absolute_error 0.0012553768089978588 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.9978005865102639 [0.998639,0.998569,0.984756,0.998789] number_of_instances 5456 [2205,2097,328,826] precision 0.9978009963924894 [0.996831,0.998093,0.996914,1] predictive_accuracy 0.9978005865102639 prior_entropy 1.7146330399083418 relative_absolute_error 0.0037899523587383564 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.031227758665894632 root_relative_squared_error 0.07673732485512667 total_cost 0 unweighted_recall 0.9951885711064353 [0.998639,0.998569,0.984756,0.998789] area_under_roc_curve 1 [1,1,1,1] area_under_roc_curve 0.9998981784946698 [0.999819,1,0.999527,1] area_under_roc_curve 0.999966792993743 [0.999958,0.999957,1,1] area_under_roc_curve 0.9999874087436746 [1,0.999986,0.999882,1] area_under_roc_curve 1 [1,1,1,1] area_under_roc_curve 1 [1,1,1,1] area_under_roc_curve 1 [1,1,1,1] area_under_roc_curve 1 [1,1,1,1] area_under_roc_curve 1 [1,1,1,1] area_under_roc_curve 1 [1,1,1,1] 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 0.9945110354554292 [0.995455,0.992908,1,0.993865] f_measure 0.9905183995843035 [0.988814,1,0.918033,1] f_measure 0.9981685873558463 [0.997722,0.997625,1,1] f_measure 0.9981799805295691 [1,0.997613,0.985075,1] f_measure 1 [1,1,1,1] f_measure 1 [1,1,1,1] f_measure 0.9981650283842671 [0.997732,0.997613,1,1] f_measure 0.9981650084906499 [0.997743,0.997602,1,1] f_measure 1 [1,1,1,1] f_measure 1 [1,1,1,1] kappa 0.9916960700815185 kappa 0.9861013532089073 kappa 0.9972375131546992 kappa 0.9972398453100119 kappa 1 kappa 1 kappa 0.9972279020559304 kappa 0.9972275636134258 kappa 1 kappa 1 kb_relative_information_score 0.9933939133431053 kb_relative_information_score 0.9774816374739654 kb_relative_information_score 0.9971910194624433 kb_relative_information_score 0.99739663836499 kb_relative_information_score 0.9999063592558796 kb_relative_information_score 0.9989802885160469 kb_relative_information_score 0.9975271373817796 kb_relative_information_score 0.9977535158501982 kb_relative_information_score 0.9998242322688141 kb_relative_information_score 0.9994287051650903 mean_absolute_error 0.0023767846061181503 mean_absolute_error 0.004771629716529483 mean_absolute_error 0.0012788692616575116 mean_absolute_error 0.0011412001619167348 mean_absolute_error 0.00005483864572709962 mean_absolute_error 0.000512683437832883 mean_absolute_error 0.0010591955733855222 mean_absolute_error 0.000928970739855872 mean_absolute_error 0.00010241450218041224 mean_absolute_error 0.00032240393105786576 mean_prior_absolute_error 0.3311434139730841 mean_prior_absolute_error 0.3311434139730841 mean_prior_absolute_error 0.33137469978129297 mean_prior_absolute_error 0.33137469978129297 mean_prior_absolute_error 0.33137469978129297 mean_prior_absolute_error 0.33137469978129297 mean_prior_absolute_error 0.3311205766710351 mean_prior_absolute_error 0.3311024296804111 mean_prior_absolute_error 0.3311861074705109 mean_prior_absolute_error 0.3311861074705109 number_of_instances 546 [221,210,33,82] number_of_instances 546 [221,210,33,82] number_of_instances 546 [220,210,33,83] number_of_instances 546 [220,210,33,83] number_of_instances 546 [220,210,33,83] number_of_instances 546 [220,210,33,83] number_of_instances 545 [220,210,32,83] number_of_instances 545 [221,209,32,83] number_of_instances 545 [221,209,33,82] number_of_instances 545 [221,209,33,82] precision 0.9945828819068256 [1,0.985915,1,1] precision 0.9910450906026128 [0.977876,1,1,1] precision 0.998177178271965 [1,0.995261,1,1] precision 0.9982223658694247 [1,1,0.970588,1] precision 1 [1,1,1,1] precision 1 [1,1,1,1] precision 0.9981734401594088 [0.995475,1,1,1] precision 0.9981734027605588 [0.995495,1,1,1] precision 1 [1,1,1,1] precision 1 [1,1,1,1] predictive_accuracy 0.9945054945054944 predictive_accuracy 0.9908424908424908 predictive_accuracy 0.9981684981684981 predictive_accuracy 0.9981684981684981 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.9981651376146788 predictive_accuracy 0.9981651376146788 predictive_accuracy 1 predictive_accuracy 1 prior_entropy 1.7138246699606299 prior_entropy 1.7138246699606299 prior_entropy 1.7164171123716554 prior_entropy 1.7164171123716554 prior_entropy 1.7164171123716554 prior_entropy 1.7164171123716554 prior_entropy 1.7121302787024806 prior_entropy 1.711997401430895 prior_entropy 1.714437400963805 prior_entropy 1.714437400963805 relative_absolute_error 0.007177508311584114 relative_absolute_error 0.014409556449512624 relative_absolute_error 0.003859284557636911 relative_absolute_error 0.0034438361246948725 relative_absolute_error 0.00016548833016911995 relative_absolute_error 0.0015471411612632277 relative_absolute_error 0.003198821359983986 relative_absolute_error 0.002805689891048336 relative_absolute_error 0.0003092355019436657 relative_absolute_error 0.0009734826545723173 root_mean_prior_squared_error 0.4068271240296317 root_mean_prior_squared_error 0.4068271240296317 root_mean_prior_squared_error 0.40711128043132166 root_mean_prior_squared_error 0.40711128043132166 root_mean_prior_squared_error 0.40711128043132166 root_mean_prior_squared_error 0.40711128043132166 root_mean_prior_squared_error 0.4067990554858411 root_mean_prior_squared_error 0.40677675026179705 root_mean_prior_squared_error 0.4068795919478491 root_mean_prior_squared_error 0.4068795919478491 root_mean_squared_error 0.03919822855729334 root_mean_squared_error 0.06736238724655641 root_mean_squared_error 0.02980587892189126 root_mean_squared_error 0.03018050783126322 root_mean_squared_error 0.0012623971058488258 root_mean_squared_error 0.011811497034217472 root_mean_squared_error 0.0296023974841239 root_mean_squared_error 0.028674957360193976 root_mean_squared_error 0.0019802161564428755 root_mean_squared_error 0.005543651646249994 root_relative_squared_error 0.09635106963624748 root_relative_squared_error 0.16557988213600525 root_relative_squared_error 0.07321310008976628 root_relative_squared_error 0.07413331263945307 root_relative_squared_error 0.003100864963779327 root_relative_squared_error 0.029012944622176913 root_relative_squared_error 0.07276909099203704 root_relative_squared_error 0.07049310793141222 root_relative_squared_error 0.004866835780489785 root_relative_squared_error 0.013624796514641952 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 0.9946887760732811 [0.99095,1,1,0.987805] unweighted_recall 0.9621212121212122 [1,1,0.848485,1] unweighted_recall 0.9988636363636364 [0.995455,1,1,1] unweighted_recall 0.9988095238095238 [1,0.995238,1,1] unweighted_recall 1 [1,1,1,1] unweighted_recall 1 [1,1,1,1] unweighted_recall 0.9988095238095238 [1,0.995238,1,1] unweighted_recall 0.9988038277511961 [1,0.995215,1,1] unweighted_recall 1 [1,1,1,1] unweighted_recall 1 [1,1,1,1] usercpu_time_millis 8104.633509999985 usercpu_time_millis 13120.16967099953 usercpu_time_millis 8124.934557000415 usercpu_time_millis 9573.338461000276 usercpu_time_millis 14447.814197000298 usercpu_time_millis 11737.398571000085 usercpu_time_millis 9471.045774000231 usercpu_time_millis 11627.57943700035 usercpu_time_millis 15016.87622100053 usercpu_time_millis 9554.78241000037 usercpu_time_millis_testing 8.851894999679644 usercpu_time_millis_testing 10.337979999349045 usercpu_time_millis_testing 9.283028000027116 usercpu_time_millis_testing 9.275422999962757 usercpu_time_millis_testing 10.412786000415508 usercpu_time_millis_testing 10.243022000395285 usercpu_time_millis_testing 9.758615000464488 usercpu_time_millis_testing 9.672250000221538 usercpu_time_millis_testing 10.571112000434368 usercpu_time_millis_testing 6.408115000340331 usercpu_time_millis_training 8095.7816150003055 usercpu_time_millis_training 13109.831691000181 usercpu_time_millis_training 8115.651529000388 usercpu_time_millis_training 9564.063038000313 usercpu_time_millis_training 14437.401410999883 usercpu_time_millis_training 11727.15554899969 usercpu_time_millis_training 9461.287158999767 usercpu_time_millis_training 11617.907187000128 usercpu_time_millis_training 15006.305109000095 usercpu_time_millis_training 9548.37429500003 wall_clock_time_millis 8257.730722427368 wall_clock_time_millis 13348.681688308716 wall_clock_time_millis 8269.48094367981 wall_clock_time_millis 9712.12911605835 wall_clock_time_millis 14774.568319320679 wall_clock_time_millis 11866.097450256348 wall_clock_time_millis 9640.218019485474 wall_clock_time_millis 11887.682914733887 wall_clock_time_millis 15252.851009368896 wall_clock_time_millis 9731.093883514404 wall_clock_time_millis_testing 8.85772705078125 wall_clock_time_millis_testing 10.370254516601562 wall_clock_time_millis_testing 9.28950309753418 wall_clock_time_millis_testing 9.280204772949219 wall_clock_time_millis_testing 10.420560836791992 wall_clock_time_millis_testing 10.249614715576172 wall_clock_time_millis_testing 9.845256805419922 wall_clock_time_millis_testing 9.678840637207031 wall_clock_time_millis_testing 10.578393936157227 wall_clock_time_millis_testing 6.412506103515625 wall_clock_time_millis_training 8248.872995376587 wall_clock_time_millis_training 13338.311433792114 wall_clock_time_millis_training 8260.191440582275 wall_clock_time_millis_training 9702.8489112854 wall_clock_time_millis_training 14764.147758483887 wall_clock_time_millis_training 11855.847835540771 wall_clock_time_millis_training 9630.372762680054 wall_clock_time_millis_training 11878.00407409668 wall_clock_time_millis_training 15242.27261543274 wall_clock_time_millis_training 9724.681377410889 weighted_recall 0.9945054945054945 [0.99095,1,1,0.987805] weighted_recall 0.9908424908424909 [1,1,0.848485,1] weighted_recall 0.9981684981684982 [0.995455,1,1,1] weighted_recall 0.9981684981684982 [1,0.995238,1,1] weighted_recall 1 [1,1,1,1] weighted_recall 1 [1,1,1,1] weighted_recall 0.998165137614679 [1,0.995238,1,1] weighted_recall 0.998165137614679 [1,0.995215,1,1] weighted_recall 1 [1,1,1,1] weighted_recall 1 [1,1,1,1]