10584399 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) 8300681 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 "median" 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 0.3949945424631855 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1988 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 135 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 17 19040 random_state 59409 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.06799882122599833 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 22095066 description https://api.openml.org/data/download/22095066/description.xml -1 22095067 predictions https://api.openml.org/data/download/22095067/predictions.arff area_under_roc_curve 0.9999776056351964 [0.999964,0.999991,0.999924,1] average_cost 0 f_measure 0.9977969947406813 [0.99751,0.998569,0.989247,1] kappa 0.996678072768736 kb_relative_information_score 0.9958455638353114 mean_absolute_error 0.0012007420633200394 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.9978005865102639 [0.999093,0.998093,0.981707,1] number_of_instances 5456 [2205,2097,328,826] precision 0.9978026194700551 [0.995931,0.999045,0.996904,1] predictive_accuracy 0.9978005865102639 prior_entropy 1.7146330399083418 relative_absolute_error 0.0036250113770612967 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.03161533452012364 root_relative_squared_error 0.07768973180018407 total_cost 0 unweighted_recall 0.9947232001771713 [0.999093,0.998093,0.981707,1] area_under_roc_curve 1 [1,1,1,1] area_under_roc_curve 0.9998305538116604 [0.999652,1,0.999527,1] area_under_roc_curve 1 [1,1,1,1] area_under_roc_curve 0.99997429181682 [0.999972,0.999972,0.999941,1] area_under_roc_curve 1 [1,1,1,1] area_under_roc_curve 0.9999889309979144 [0.999986,0.999986,1,1] 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 0.9981685968161318 [0.997732,0.997625,1,1] f_measure 0.9885351255886968 [0.986607,1,0.9,1] f_measure 1 [1,1,1,1] f_measure 0.9963439776271431 [0.997732,0.995215,0.985075,1] f_measure 1 [1,1,1,1] f_measure 0.9981685873558463 [0.997722,0.997625,1,1] 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 0.9972336641789911 kappa 0.9833056453010183 kappa 1 kappa 0.9944794115416699 kappa 1 kappa 0.9972375131546992 kappa 0.9972279020559304 kappa 0.9972275636134258 kappa 1 kappa 1 kb_relative_information_score 0.9979289861209355 kb_relative_information_score 0.9733767467981255 kb_relative_information_score 0.9996660701412621 kb_relative_information_score 0.99515923785753 kb_relative_information_score 0.9995863715752005 kb_relative_information_score 0.9973605492985136 kb_relative_information_score 0.9977605924336294 kb_relative_information_score 0.997798195018816 kb_relative_information_score 0.9999034607755184 kb_relative_information_score 0.9999257894093597 mean_absolute_error 0.0008818533533060146 mean_absolute_error 0.005532238540480315 mean_absolute_error 0.0001939439544289585 mean_absolute_error 0.0020689963474845746 mean_absolute_error 0.00023078326869913288 mean_absolute_error 0.001168949592352597 mean_absolute_error 0.000923872432926658 mean_absolute_error 0.0009016091362236249 mean_absolute_error 0.000056317455779619744 mean_absolute_error 0.00004358625302933451 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 0.998177178271965 [1,0.995261,1,1] precision 0.9893014474512273 [0.973568,1,1,1] precision 1 [1,1,1,1] precision 0.996399151376527 [0.995475,1,0.970588,1] precision 1 [1,1,1,1] precision 0.998177178271965 [1,0.995261,1,1] 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 0.9981684981684981 predictive_accuracy 0.989010989010989 predictive_accuracy 1 predictive_accuracy 0.9963369963369964 predictive_accuracy 1 predictive_accuracy 0.9981684981684981 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 0.002663055691567198 relative_absolute_error 0.01670647310814397 relative_absolute_error 0.0005852708566977544 relative_absolute_error 0.006243676263909437 relative_absolute_error 0.0006964420302800716 relative_absolute_error 0.003527576465928457 relative_absolute_error 0.002790138994727941 relative_absolute_error 0.002723052008690731 relative_absolute_error 0.0001700477601846095 relative_absolute_error 0.00013160652589636618 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 0.021831732450106167 root_mean_squared_error 0.07333379569510132 root_mean_squared_error 0.0029889831436389386 root_mean_squared_error 0.042270826245853904 root_mean_squared_error 0.005153243896050458 root_mean_squared_error 0.022557464418671937 root_mean_squared_error 0.030275657063422903 root_mean_squared_error 0.02976591829099548 root_mean_squared_error 0.0014254021623068018 root_mean_squared_error 0.0009995846658492967 root_relative_squared_error 0.0536634141643811 root_relative_squared_error 0.18025788194437095 root_relative_squared_error 0.00734193152415773 root_relative_squared_error 0.10383113482158807 root_relative_squared_error 0.012658071991006383 root_relative_squared_error 0.055408595887524933 root_relative_squared_error 0.07442410854977186 root_relative_squared_error 0.07317507274405054 root_relative_squared_error 0.0035032530274693636 root_relative_squared_error 0.0024567087797743767 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 0.998868778280543 [0.995475,1,1,1] unweighted_recall 0.9545454545454546 [1,1,0.818182,1] unweighted_recall 1 [1,1,1,1] unweighted_recall 0.9976190476190476 [1,0.990476,1,1] unweighted_recall 1 [1,1,1,1] unweighted_recall 0.9988636363636364 [0.995455,1,1,1] 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 5969.940655000755 usercpu_time_millis 5512.93351699951 usercpu_time_millis 5536.674576001133 usercpu_time_millis 4734.699892999743 usercpu_time_millis 5370.175009999912 usercpu_time_millis 5375.0248999995165 usercpu_time_millis 10852.770459000567 usercpu_time_millis 12947.837494999476 usercpu_time_millis 11527.524944000106 usercpu_time_millis 9560.319070000332 usercpu_time_millis_testing 8.336705000147049 usercpu_time_millis_testing 7.925809999505873 usercpu_time_millis_testing 8.105583000542538 usercpu_time_millis_testing 7.650656999430794 usercpu_time_millis_testing 7.602542000313406 usercpu_time_millis_testing 7.866740999816102 usercpu_time_millis_testing 9.724926000671985 usercpu_time_millis_testing 10.14521499928378 usercpu_time_millis_testing 9.504712999842013 usercpu_time_millis_testing 6.198932000188506 usercpu_time_millis_training 5961.603950000608 usercpu_time_millis_training 5505.007707000004 usercpu_time_millis_training 5528.56899300059 usercpu_time_millis_training 4727.049236000312 usercpu_time_millis_training 5362.572467999598 usercpu_time_millis_training 5367.1581589997 usercpu_time_millis_training 10843.045532999895 usercpu_time_millis_training 12937.692280000192 usercpu_time_millis_training 11518.020231000264 usercpu_time_millis_training 9554.120138000144 wall_clock_time_millis 6057.83748626709 wall_clock_time_millis 5624.102592468262 wall_clock_time_millis 5663.999319076538 wall_clock_time_millis 4805.2074909210205 wall_clock_time_millis 5469.444274902344 wall_clock_time_millis 5462.070465087891 wall_clock_time_millis 11071.056365966797 wall_clock_time_millis 13168.250322341919 wall_clock_time_millis 11721.365451812744 wall_clock_time_millis 9723.222494125366 wall_clock_time_millis_testing 8.342981338500977 wall_clock_time_millis_testing 7.931709289550781 wall_clock_time_millis_testing 8.111238479614258 wall_clock_time_millis_testing 7.656097412109375 wall_clock_time_millis_testing 7.607460021972656 wall_clock_time_millis_testing 7.872581481933594 wall_clock_time_millis_testing 9.732484817504883 wall_clock_time_millis_testing 10.200738906860352 wall_clock_time_millis_testing 9.519338607788086 wall_clock_time_millis_testing 6.204128265380859 wall_clock_time_millis_training 6049.494504928589 wall_clock_time_millis_training 5616.170883178711 wall_clock_time_millis_training 5655.888080596924 wall_clock_time_millis_training 4797.551393508911 wall_clock_time_millis_training 5461.836814880371 wall_clock_time_millis_training 5454.197883605957 wall_clock_time_millis_training 11061.323881149292 wall_clock_time_millis_training 13158.049583435059 wall_clock_time_millis_training 11711.846113204956 wall_clock_time_millis_training 9717.018365859985 weighted_recall 0.9981684981684982 [0.995475,1,1,1] weighted_recall 0.989010989010989 [1,1,0.818182,1] weighted_recall 1 [1,1,1,1] weighted_recall 0.9963369963369964 [1,0.990476,1,1] weighted_recall 1 [1,1,1,1] weighted_recall 0.9981684981684982 [0.995455,1,1,1] 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]