10584750 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) 8301032 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 0.9341924275655014 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 901 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 81 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 7 19040 random_state 2513 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.1866860680002504 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 22095768 description https://api.openml.org/data/download/22095768/description.xml -1 22095769 predictions https://api.openml.org/data/download/22095769/predictions.arff area_under_roc_curve 0.99996709123179 [0.999941,0.99999,0.999911,0.999999] average_cost 0 f_measure 0.9968795559863403 [0.997058,0.998091,0.986175,0.997579] kappa 0.9952938848460017 kb_relative_information_score 0.9947213429037298 mean_absolute_error 0.001691594459783771 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.9968841642228738 [0.999093,0.997139,0.978659,0.997579] number_of_instances 5456 [2205,2097,328,826] precision 0.996885984866228 [0.995032,0.999044,0.993808,0.997579] predictive_accuracy 0.9968841642228738 prior_entropy 1.7146330399083418 relative_absolute_error 0.005106882942981922 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.035529908339687624 root_relative_squared_error 0.08730918371394983 total_cost 0 unweighted_recall 0.9931172423179533 [0.999093,0.997139,0.978659,0.997579] area_under_roc_curve 0.999994549101692 [1,0.999986,1,1] area_under_roc_curve 0.9999631777229618 [0.999944,1,0.999764,1] area_under_roc_curve 0.999994549101692 [1,0.999986,1,1] area_under_roc_curve 0.9999908117172137 [0.999986,1,0.999941,1] area_under_roc_curve 1 [1,1,1,1] area_under_roc_curve 0.9999943818962225 [0.999986,1,1,1] area_under_roc_curve 0.9999495254847849 [0.999902,0.999972,1,1] area_under_roc_curve 1 [1,1,1,1] area_under_roc_curve 0.9999945391000438 [1,0.999986,1,1] 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 0.9963485877284234 [0.997732,0.995238,0.985075,1] f_measure 0.9905183995843035 [0.988814,1,0.918033,1] f_measure 0.9981717961438711 [1,0.997613,1,0.994012] f_measure 0.9963216095688305 [0.997732,0.997625,0.984615,0.993939] f_measure 1 [1,1,1,1] f_measure 0.99815648622556 [0.997732,1,0.984615,1] f_measure 0.9963421999821465 [0.995455,0.997613,0.984615,1] f_measure 0.9981650084906499 [0.997743,0.997602,1,1] f_measure 0.9981684977289228 [1,0.997602,1,0.993939] f_measure 0.9963307118882102 [0.995495,0.997602,1,0.993865] kappa 0.9944722854973425 kappa 0.9861013532089073 kappa 0.9972391474730109 kappa 0.9944659544708195 kappa 1 kappa 0.9972347569776806 kappa 0.9944611006656844 kappa 0.9972275636134258 kappa 0.9972309302550085 kappa 0.9944540269361296 kb_relative_information_score 0.9957310033825735 kb_relative_information_score 0.9789342361111126 kb_relative_information_score 0.9976616188688503 kb_relative_information_score 0.993554457032471 kb_relative_information_score 0.9993533382616971 kb_relative_information_score 0.9959156037606179 kb_relative_information_score 0.9950789709209079 kb_relative_information_score 0.9976450130140347 kb_relative_information_score 0.9970482216705214 kb_relative_information_score 0.9962946958281417 mean_absolute_error 0.0018561949282582353 mean_absolute_error 0.004560065104019568 mean_absolute_error 0.0009695727207956504 mean_absolute_error 0.0018186727921456842 mean_absolute_error 0.0003593932964901795 mean_absolute_error 0.0014179602803752235 mean_absolute_error 0.002114590157770531 mean_absolute_error 0.0009919166299149475 mean_absolute_error 0.0013206289702730526 mean_absolute_error 0.00150542257584342 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 0.9963908640379228 [1,0.995238,0.970588,1] precision 0.9910450906026128 [0.977876,1,1,1] precision 0.9981903017617304 [1,1,1,0.988095] precision 0.9963539637790674 [0.995475,0.995261,1,1] precision 1 [1,1,1,1] precision 0.9981767855071022 [0.995475,1,1,1] precision 0.9963858771198221 [0.995455,1,0.969697,1] precision 0.9981734027605588 [0.995495,1,1,1] precision 0.9981872443904056 [1,1,1,0.987952] precision 0.9963631875591393 [0.991031,1,1,1] predictive_accuracy 0.9963369963369964 predictive_accuracy 0.9908424908424908 predictive_accuracy 0.9981684981684981 predictive_accuracy 0.9963369963369964 predictive_accuracy 1 predictive_accuracy 0.9981684981684981 predictive_accuracy 0.9963302752293578 predictive_accuracy 0.9981651376146788 predictive_accuracy 0.9981651376146788 predictive_accuracy 0.9963302752293578 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 0.005605410978848911 relative_absolute_error 0.013770665251371172 relative_absolute_error 0.002925910521942585 relative_absolute_error 0.005488266887441941 relative_absolute_error 0.0010845526128801589 relative_absolute_error 0.004279023960824638 relative_absolute_error 0.006386163551144556 relative_absolute_error 0.0029957999126505107 relative_absolute_error 0.003987573574144086 relative_absolute_error 0.004545548686632226 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 0.03538001774946865 root_mean_squared_error 0.0655459852474754 root_mean_squared_error 0.024337814145393558 root_mean_squared_error 0.03568523988245015 root_mean_squared_error 0.006608354709628676 root_mean_squared_error 0.028000709497541378 root_mean_squared_error 0.04254345073790973 root_mean_squared_error 0.028515106114172364 root_mean_squared_error 0.02342544510136854 root_mean_squared_error 0.03477375636103123 root_relative_squared_error 0.08696572981424833 root_relative_squared_error 0.16111508150744952 root_relative_squared_error 0.059781723855964905 root_relative_squared_error 0.0876547558314836 root_relative_squared_error 0.016232305581479665 root_relative_squared_error 0.06877900673220232 root_relative_squared_error 0.10458099684400687 root_relative_squared_error 0.0701001374730005 root_relative_squared_error 0.05757340885352403 root_relative_squared_error 0.08546448887878427 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 0.9976783020900668 [0.995475,0.995238,1,1] unweighted_recall 0.9621212121212122 [1,1,0.848485,1] unweighted_recall 0.9988095238095238 [1,0.995238,1,1] unweighted_recall 0.9894121942314713 [1,1,0.969697,0.987952] unweighted_recall 1 [1,1,1,1] unweighted_recall 0.9924242424242424 [1,1,0.969697,1] unweighted_recall 0.9976731601731602 [0.995455,0.995238,1,1] unweighted_recall 0.9988038277511961 [1,0.995215,1,1] unweighted_recall 0.9988038277511961 [1,0.995215,1,1] unweighted_recall 0.9957550472633913 [1,0.995215,1,0.987805] usercpu_time_millis 3075.347392999902 usercpu_time_millis 3771.2655539999105 usercpu_time_millis 4471.681725000963 usercpu_time_millis 2939.4472350004435 usercpu_time_millis 2379.66987100026 usercpu_time_millis 2380.5351839992 usercpu_time_millis 2543.524095000066 usercpu_time_millis 2838.6340789993483 usercpu_time_millis 2118.6070550002114 usercpu_time_millis 2112.2113499995976 usercpu_time_millis_testing 7.73639999988518 usercpu_time_millis_testing 7.9368870001417235 usercpu_time_millis_testing 7.755508000627742 usercpu_time_millis_testing 7.902450000074168 usercpu_time_millis_testing 7.095476999893435 usercpu_time_millis_testing 6.957238999348192 usercpu_time_millis_testing 7.200719000138633 usercpu_time_millis_testing 7.355337999797484 usercpu_time_millis_testing 6.921276999491965 usercpu_time_millis_testing 4.765616999975464 usercpu_time_millis_training 3067.6109930000166 usercpu_time_millis_training 3763.3286669997688 usercpu_time_millis_training 4463.926217000335 usercpu_time_millis_training 2931.5447850003693 usercpu_time_millis_training 2372.5743940003667 usercpu_time_millis_training 2373.5779449998518 usercpu_time_millis_training 2536.3233759999275 usercpu_time_millis_training 2831.278740999551 usercpu_time_millis_training 2111.6857780007194 usercpu_time_millis_training 2107.445732999622 wall_clock_time_millis 3158.6451530456543 wall_clock_time_millis 3873.8837242126465 wall_clock_time_millis 4549.576282501221 wall_clock_time_millis 2990.415096282959 wall_clock_time_millis 2427.523374557495 wall_clock_time_millis 2428.086280822754 wall_clock_time_millis 2592.5145149230957 wall_clock_time_millis 2907.6762199401855 wall_clock_time_millis 2157.376766204834 wall_clock_time_millis 2135.9505653381348 wall_clock_time_millis_testing 7.758378982543945 wall_clock_time_millis_testing 7.943391799926758 wall_clock_time_millis_testing 7.771730422973633 wall_clock_time_millis_testing 7.910013198852539 wall_clock_time_millis_testing 7.101774215698242 wall_clock_time_millis_testing 6.963491439819336 wall_clock_time_millis_testing 7.206439971923828 wall_clock_time_millis_testing 7.446527481079102 wall_clock_time_millis_testing 6.936311721801758 wall_clock_time_millis_testing 4.770040512084961 wall_clock_time_millis_training 3150.8867740631104 wall_clock_time_millis_training 3865.9403324127197 wall_clock_time_millis_training 4541.804552078247 wall_clock_time_millis_training 2982.5050830841064 wall_clock_time_millis_training 2420.421600341797 wall_clock_time_millis_training 2421.1227893829346 wall_clock_time_millis_training 2585.308074951172 wall_clock_time_millis_training 2900.2296924591064 wall_clock_time_millis_training 2150.440454483032 wall_clock_time_millis_training 2131.18052482605 weighted_recall 0.9963369963369964 [0.995475,0.995238,1,1] weighted_recall 0.9908424908424909 [1,1,0.848485,1] weighted_recall 0.9981684981684982 [1,0.995238,1,1] weighted_recall 0.9963369963369964 [1,1,0.969697,0.987952] weighted_recall 1 [1,1,1,1] weighted_recall 0.9981684981684982 [1,1,0.969697,1] weighted_recall 0.9963302752293578 [0.995455,0.995238,1,1] weighted_recall 0.998165137614679 [1,0.995215,1,1] weighted_recall 0.998165137614679 [1,0.995215,1,1] weighted_recall 0.9963302752293578 [1,0.995215,1,0.987805]