10584659 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) 8300941 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 0.8501060391302641 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1646 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 80 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 18 19040 random_state 18004 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.1305177253777599 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 22095586 description https://api.openml.org/data/download/22095586/description.xml -1 22095587 predictions https://api.openml.org/data/download/22095587/predictions.arff area_under_roc_curve 0.9999721104347361 [0.999951,0.999993,0.999908,1] average_cost 0 f_measure 0.9976121285160845 [0.997511,0.99833,0.987692,1] kappa 0.9964008830136779 kb_relative_information_score 0.9958144294453486 mean_absolute_error 0.001244122937550176 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.9976173020527859 [0.999546,0.997616,0.978659,1] number_of_instances 5456 [2205,2097,328,826] precision 0.9976208122317849 [0.995483,0.999045,0.996894,1] predictive_accuracy 0.997617302052786 prior_entropy 1.7146330399083418 relative_absolute_error 0.0037559771918144664 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.03166060658667031 root_relative_squared_error 0.07780098081150838 total_cost 0 unweighted_recall 0.9939551658096505 [0.999546,0.997616,0.978659,1] area_under_roc_curve 0.9999889137114413 [0.999986,0.999986,1,1] area_under_roc_curve 0.9998127029166166 [0.999652,1,0.999232,1] 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 0.9999887085391672 [0.999972,1,1,1] 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 0.9981799805295691 [1,0.997613,0.985075,1] f_measure 0.9981565848731937 [1,0.997625,0.984615,1] 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 0.9981650084906499 [0.997743,0.997602,1,1] f_measure 0.9981650084906499 [0.997743,0.997602,1,1] kappa 0.9972336641789911 kappa 0.9833056453010183 kappa 1 kappa 0.9972398453100119 kappa 0.9972348970176389 kappa 1 kappa 0.9972279020559304 kappa 0.9972275636134258 kappa 0.9972289732456097 kappa 0.9972289732456097 kb_relative_information_score 0.9974922999008468 kb_relative_information_score 0.9748214452547086 kb_relative_information_score 0.9996018718426792 kb_relative_information_score 0.9971515834033449 kb_relative_information_score 0.998490354581542 kb_relative_information_score 0.9988949741813439 kb_relative_information_score 0.9973948424347711 kb_relative_information_score 0.9982501644291649 kb_relative_information_score 0.9977075078071388 kb_relative_information_score 0.9983408157253265 mean_absolute_error 0.0010902570084617388 mean_absolute_error 0.005435983441655166 mean_absolute_error 0.00022304217684446806 mean_absolute_error 0.0011628143318590679 mean_absolute_error 0.0006069599342867607 mean_absolute_error 0.0005225225829589763 mean_absolute_error 0.0011267400521942188 mean_absolute_error 0.0006765792269525434 mean_absolute_error 0.0009546857188444388 mean_absolute_error 0.0006387516136447892 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 0.9982223658694247 [1,1,0.970588,1] precision 0.998177178271965 [1,0.995261,1,1] precision 1 [1,1,1,1] precision 0.9981734401594088 [0.995475,1,1,1] precision 0.9981734027605588 [0.995495,1,1,1] precision 0.9981734027605588 [0.995495,1,1,1] precision 0.9981734027605588 [0.995495,1,1,1] predictive_accuracy 0.9981684981684981 predictive_accuracy 0.989010989010989 predictive_accuracy 1 predictive_accuracy 0.9981684981684981 predictive_accuracy 0.9981684981684981 predictive_accuracy 1 predictive_accuracy 0.9981651376146788 predictive_accuracy 0.9981651376146788 predictive_accuracy 0.9981651376146788 predictive_accuracy 0.9981651376146788 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 0.003292401305466871 relative_absolute_error 0.016415798147496937 relative_absolute_error 0.0006730814905050859 relative_absolute_error 0.0035090618946664437 relative_absolute_error 0.0018316423513543845 relative_absolute_error 0.0015768330633082154 relative_absolute_error 0.0034028089209134937 relative_absolute_error 0.002043413657838741 relative_absolute_error 0.0028826261045066474 relative_absolute_error 0.0019286787677277922 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 0.03054092339881013 root_mean_squared_error 0.07193973364515947 root_mean_squared_error 0.004980989484696529 root_mean_squared_error 0.027821845387239474 root_mean_squared_error 0.01823846562529653 root_mean_squared_error 0.013743064377950661 root_mean_squared_error 0.030708835725255453 root_mean_squared_error 0.02191199013524521 root_mean_squared_error 0.027174209441381207 root_mean_squared_error 0.02076747005696473 root_relative_squared_error 0.07507101074358466 root_relative_squared_error 0.176831212561726 root_relative_squared_error 0.012234958165294085 root_relative_squared_error 0.06833965729901441 root_relative_squared_error 0.04479970588379041 root_relative_squared_error 0.03375751308927209 root_relative_squared_error 0.07548895532360521 root_relative_squared_error 0.05386736120277989 root_relative_squared_error 0.06678685778092355 root_relative_squared_error 0.051040825020357755 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 0.9988095238095238 [1,0.995238,1,1] unweighted_recall 0.9924242424242424 [1,1,0.969697,1] 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 0.9988038277511961 [1,0.995215,1,1] unweighted_recall 0.9988038277511961 [1,0.995215,1,1] usercpu_time_millis 6570.874838000236 usercpu_time_millis 4513.318759999493 usercpu_time_millis 4057.1985550004683 usercpu_time_millis 5951.786811999227 usercpu_time_millis 7236.950037999122 usercpu_time_millis 4907.046361000539 usercpu_time_millis 6395.512852999673 usercpu_time_millis 3745.971701000599 usercpu_time_millis 3886.9203260001086 usercpu_time_millis 3773.2592239999576 usercpu_time_millis_testing 8.518114000253263 usercpu_time_millis_testing 8.07414799965045 usercpu_time_millis_testing 7.422292000228481 usercpu_time_millis_testing 8.515006999914476 usercpu_time_millis_testing 8.495415999277611 usercpu_time_millis_testing 8.134953000080714 usercpu_time_millis_testing 8.492812000440608 usercpu_time_millis_testing 7.766083000205981 usercpu_time_millis_testing 7.350392000262218 usercpu_time_millis_testing 5.081123000309162 usercpu_time_millis_training 6562.356723999983 usercpu_time_millis_training 4505.244611999842 usercpu_time_millis_training 4049.77626300024 usercpu_time_millis_training 5943.271804999313 usercpu_time_millis_training 7228.454621999845 usercpu_time_millis_training 4898.911408000458 usercpu_time_millis_training 6387.020040999232 usercpu_time_millis_training 3738.205618000393 usercpu_time_millis_training 3879.5699339998464 usercpu_time_millis_training 3768.1781009996484 wall_clock_time_millis 6675.780296325684 wall_clock_time_millis 4596.241474151611 wall_clock_time_millis 4170.715570449829 wall_clock_time_millis 6051.590204238892 wall_clock_time_millis 7391.5112018585205 wall_clock_time_millis 4981.515645980835 wall_clock_time_millis 6522.5019454956055 wall_clock_time_millis 3825.904130935669 wall_clock_time_millis 3943.922519683838 wall_clock_time_millis 3824.0766525268555 wall_clock_time_millis_testing 8.590936660766602 wall_clock_time_millis_testing 8.08095932006836 wall_clock_time_millis_testing 7.427215576171875 wall_clock_time_millis_testing 8.530139923095703 wall_clock_time_millis_testing 8.50057601928711 wall_clock_time_millis_testing 8.151531219482422 wall_clock_time_millis_testing 8.499622344970703 wall_clock_time_millis_testing 7.771730422973633 wall_clock_time_millis_testing 7.355213165283203 wall_clock_time_millis_testing 5.08570671081543 wall_clock_time_millis_training 6667.189359664917 wall_clock_time_millis_training 4588.160514831543 wall_clock_time_millis_training 4163.288354873657 wall_clock_time_millis_training 6043.060064315796 wall_clock_time_millis_training 7383.010625839233 wall_clock_time_millis_training 4973.3641147613525 wall_clock_time_millis_training 6514.002323150635 wall_clock_time_millis_training 3818.1324005126953 wall_clock_time_millis_training 3936.5673065185547 wall_clock_time_millis_training 3818.99094581604 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 0.9981684981684982 [1,0.995238,1,1] weighted_recall 0.9981684981684982 [1,1,0.969697,1] 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 0.998165137614679 [1,0.995215,1,1] weighted_recall 0.998165137614679 [1,0.995215,1,1]