10584596 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) 8300878 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 0.28574463614468437 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 959 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 17 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 10787 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.30835000102549226 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 22095460 description https://api.openml.org/data/download/22095460/description.xml -1 22095461 predictions https://api.openml.org/data/download/22095461/predictions.arff area_under_roc_curve 0.9999548531856038 [0.999925,0.999989,0.999845,0.999992] average_cost 0 f_measure 0.997428716966746 [0.997057,0.999047,0.989214,0.997576] kappa 0.9961232222913095 kb_relative_information_score 0.994135011505959 mean_absolute_error 0.0018055563955318118 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.9974340175953079 [0.998639,0.999523,0.978659,0.996368] number_of_instances 5456 [2205,2097,328,826] precision 0.9974398967905433 [0.995479,0.998571,1,0.998786] predictive_accuracy 0.997434017595308 prior_entropy 1.7146330399083418 relative_absolute_error 0.005450931282969549 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.03645588904962356 root_relative_squared_error 0.08958463624668443 total_cost 0 unweighted_recall 0.993297289846773 [0.998639,0.999523,0.978659,0.996368] area_under_roc_curve 0.9999503988496029 [0.999916,1,1,0.999895] area_under_roc_curve 0.9993689790990736 [0.998803,1,0.997578,1] area_under_roc_curve 0.9999887637924448 [0.999972,1,1,1] area_under_roc_curve 0.9999765310011786 [0.999986,1,0.999705,1] area_under_roc_curve 1 [1,1,1,1] area_under_roc_curve 0.9999795755096583 [0.999958,1,0.999941,1] area_under_roc_curve 0.9999888770684334 [0.999986,0.999986,1,1] area_under_roc_curve 1 [1,1,1,1] area_under_roc_curve 0.9999960370142865 [1,1,1,0.999974] 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 0.9926595888680603 [0.993197,0.995261,1,0.981595] f_measure 0.9905183995843035 [0.988814,1,0.918033,1] f_measure 0.9981685873558463 [0.997722,0.997625,1,1] f_measure 0.99815648622556 [0.997732,1,0.984615,1] f_measure 1 [1,1,1,1] f_measure 0.99815648622556 [0.997732,1,0.984615,1] f_measure 0.9981650283842671 [0.997732,0.997613,1,1] f_measure 1 [1,1,1,1] f_measure 0.9981615801532275 [0.997743,1,1,0.993865] f_measure 1 [1,1,1,1] kappa 0.9889274759816472 kappa 0.9861013532089073 kappa 0.9972375131546992 kappa 0.9972347569776806 kappa 1 kappa 0.9972347569776806 kappa 0.9972279020559304 kappa 1 kappa 0.9972271827668138 kappa 1 kb_relative_information_score 0.9882887629532239 kb_relative_information_score 0.9769414515994544 kb_relative_information_score 0.9973566665107798 kb_relative_information_score 0.9939307533569902 kb_relative_information_score 0.9991562489865613 kb_relative_information_score 0.9943869908150107 kb_relative_information_score 0.9977026478141562 kb_relative_information_score 0.9989302277474473 kb_relative_information_score 0.9955290945334306 kb_relative_information_score 0.9991481186491096 mean_absolute_error 0.004158646207738628 mean_absolute_error 0.005318708514927078 mean_absolute_error 0.001170303657147336 mean_absolute_error 0.0017966652473304023 mean_absolute_error 0.00041377612487982667 mean_absolute_error 0.0015633617485071513 mean_absolute_error 0.0009581280536437801 mean_absolute_error 0.00046909667334510825 mean_absolute_error 0.0017423907219230965 mean_absolute_error 0.00045790329371549123 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 0.9926776131702757 [0.995455,0.990566,1,0.987654] precision 0.9910450906026128 [0.977876,1,1,1] precision 0.998177178271965 [1,0.995261,1,1] precision 0.9981767855071022 [0.995475,1,1,1] precision 1 [1,1,1,1] precision 0.9981767855071022 [0.995475,1,1,1] precision 0.9981734401594088 [0.995475,1,1,1] precision 1 [1,1,1,1] precision 0.9981734027605588 [0.995495,1,1,1] precision 1 [1,1,1,1] predictive_accuracy 0.9926739926739927 predictive_accuracy 0.9908424908424908 predictive_accuracy 0.9981684981684981 predictive_accuracy 0.9981684981684981 predictive_accuracy 1 predictive_accuracy 0.9981684981684981 predictive_accuracy 0.9981651376146788 predictive_accuracy 1 predictive_accuracy 0.9981651376146788 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 0.012558444565884223 relative_absolute_error 0.01606164667783304 relative_absolute_error 0.003531662670444471 relative_absolute_error 0.005421854017570442 relative_absolute_error 0.0012486654085327533 relative_absolute_error 0.0047178066084676016 relative_absolute_error 0.002893592609907993 relative_absolute_error 0.0014167720659672986 relative_absolute_error 0.005261062232443553 relative_absolute_error 0.0013826162492527358 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 0.061032264257743586 root_mean_squared_error 0.0665724796147949 root_mean_squared_error 0.02936379976896672 root_mean_squared_error 0.032754086671704034 root_mean_squared_error 0.011387831589765566 root_mean_squared_error 0.03155352422719591 root_mean_squared_error 0.030270700195354782 root_mean_squared_error 0.014749893180138975 root_mean_squared_error 0.029246502766706338 root_mean_squared_error 0.008827942450401144 root_relative_squared_error 0.15002014529714155 root_relative_squared_error 0.16363825242376417 root_relative_squared_error 0.07212720742558815 root_relative_squared_error 0.08045487375589815 root_relative_squared_error 0.027972282118295798 root_relative_squared_error 0.07750589517874801 root_relative_squared_error 0.07441192349673086 root_relative_squared_error 0.036260413533089356 root_relative_squared_error 0.07187999434106526 root_relative_squared_error 0.021696695103677367 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 0.9916399955854762 [0.99095,1,1,0.97561] unweighted_recall 0.9621212121212122 [1,1,0.848485,1] unweighted_recall 0.9988636363636364 [0.995455,1,1,1] unweighted_recall 0.9924242424242424 [1,1,0.969697,1] unweighted_recall 1 [1,1,1,1] unweighted_recall 0.9924242424242424 [1,1,0.969697,1] unweighted_recall 0.9988095238095238 [1,0.995238,1,1] unweighted_recall 1 [1,1,1,1] unweighted_recall 0.9969512195121951 [1,1,1,0.987805] unweighted_recall 1 [1,1,1,1] usercpu_time_millis 8243.9138990012 usercpu_time_millis 4365.68935699961 usercpu_time_millis 5126.196463999804 usercpu_time_millis 4746.6900049994365 usercpu_time_millis 6818.09353799963 usercpu_time_millis 4761.040628999581 usercpu_time_millis 6802.241282000978 usercpu_time_millis 7155.360083998858 usercpu_time_millis 4769.764841000324 usercpu_time_millis 4483.5536130003675 usercpu_time_millis_testing 9.028607000800548 usercpu_time_millis_testing 7.830407999790623 usercpu_time_millis_testing 8.195848000468686 usercpu_time_millis_testing 7.956066999213363 usercpu_time_millis_testing 9.226488999956928 usercpu_time_millis_testing 7.9130599997370155 usercpu_time_millis_testing 8.681957000590046 usercpu_time_millis_testing 8.818879999125784 usercpu_time_millis_testing 7.772687000397127 usercpu_time_millis_testing 5.735421999816026 usercpu_time_millis_training 8234.8852920004 usercpu_time_millis_training 4357.858948999819 usercpu_time_millis_training 5118.000615999335 usercpu_time_millis_training 4738.733938000223 usercpu_time_millis_training 6808.867048999673 usercpu_time_millis_training 4753.127568999844 usercpu_time_millis_training 6793.559325000388 usercpu_time_millis_training 7146.541203999732 usercpu_time_millis_training 4761.992153999927 usercpu_time_millis_training 4477.818191000551 wall_clock_time_millis 8358.947277069092 wall_clock_time_millis 4437.60347366333 wall_clock_time_millis 5265.179395675659 wall_clock_time_millis 4823.997974395752 wall_clock_time_millis 6958.907604217529 wall_clock_time_millis 4847.819566726685 wall_clock_time_millis 6961.994409561157 wall_clock_time_millis 7259.939670562744 wall_clock_time_millis 4861.271142959595 wall_clock_time_millis 4565.4144287109375 wall_clock_time_millis_testing 9.033918380737305 wall_clock_time_millis_testing 7.889270782470703 wall_clock_time_millis_testing 8.26120376586914 wall_clock_time_millis_testing 7.963657379150391 wall_clock_time_millis_testing 13.151884078979492 wall_clock_time_millis_testing 7.920026779174805 wall_clock_time_millis_testing 8.687496185302734 wall_clock_time_millis_testing 8.852958679199219 wall_clock_time_millis_testing 7.777929306030273 wall_clock_time_millis_testing 5.846261978149414 wall_clock_time_millis_training 8349.913358688354 wall_clock_time_millis_training 4429.714202880859 wall_clock_time_millis_training 5256.91819190979 wall_clock_time_millis_training 4816.034317016602 wall_clock_time_millis_training 6945.75572013855 wall_clock_time_millis_training 4839.89953994751 wall_clock_time_millis_training 6953.3069133758545 wall_clock_time_millis_training 7251.086711883545 wall_clock_time_millis_training 4853.493213653564 wall_clock_time_millis_training 4559.568166732788 weighted_recall 0.9926739926739927 [0.99095,1,1,0.97561] weighted_recall 0.9908424908424909 [1,1,0.848485,1] weighted_recall 0.9981684981684982 [0.995455,1,1,1] weighted_recall 0.9981684981684982 [1,1,0.969697,1] weighted_recall 1 [1,1,1,1] weighted_recall 0.9981684981684982 [1,1,0.969697,1] weighted_recall 0.998165137614679 [1,0.995238,1,1] weighted_recall 1 [1,1,1,1] weighted_recall 0.998165137614679 [1,1,1,0.987805] weighted_recall 1 [1,1,1,1]