10584756 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) 8301038 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 0.8060368690319842 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 940 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 5 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 11 19040 random_state 41746 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.35587680564905916 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 22095780 description https://api.openml.org/data/download/22095780/description.xml -1 22095781 predictions https://api.openml.org/data/download/22095781/predictions.arff area_under_roc_curve 0.99730356731881 [0.997432,0.996432,0.995262,0.999986] average_cost 0 f_measure 0.9930326207136377 [0.993437,0.994502,0.967939,0.998187] kappa 0.9894862572550495 kb_relative_information_score 0.9891590560831613 mean_absolute_error 0.0036435121697601775 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.9930351906158358 [0.995465,0.991893,0.966463,1] number_of_instances 5456 [2205,2097,328,826] precision 0.9930399324935341 [0.991418,0.997124,0.969419,0.996381] predictive_accuracy 0.9930351906158357 prior_entropy 1.7146330399083418 relative_absolute_error 0.01099967551009463 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.054624626849865264 root_relative_squared_error 0.13423146311958017 total_cost 0 unweighted_recall 0.9884553619940596 [0.995465,0.991893,0.966463,1] area_under_roc_curve 0.9980318953711571 [0.995433,0.999986,0.99811,1] area_under_roc_curve 0.9997877116635551 [0.999652,1,0.998819,1] area_under_roc_curve 0.993680213678061 [0.99353,0.990476,0.999173,1] area_under_roc_curve 0.9999603695658442 [0.999986,0.999986,0.999527,1] area_under_roc_curve 0.9981647367298997 [1,0.999972,0.969815,1] area_under_roc_curve 1 [1,1,1,1] area_under_roc_curve 0.9886371566747476 [0.993441,0.977967,0.996162,1] area_under_roc_curve 0.9999847021253749 [0.999972,1,1,0.999974] area_under_roc_curve 0.9968732429048751 [0.996886,0.995158,0.999882,1] 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 0.9963445144331096 [0.995455,0.997625,0.985075,1] f_measure 0.9867069881997005 [0.986607,0.997613,0.9,0.993939] f_measure 0.9891099612461841 [0.986364,0.995215,0.941176,1] f_measure 0.9945443127147967 [0.995455,0.997613,0.955224,1] f_measure 0.9981565848731937 [1,0.997625,0.984615,1] f_measure 1 [1,1,1,1] f_measure 0.9798513736997704 [0.9819,0.973494,0.955224,1] f_measure 0.9963335687545114 [0.995475,0.997602,1,0.994012] f_measure 0.988939437523573 [0.993258,0.987952,0.953846,0.993939] f_measure 1 [1,1,1,1] kappa 0.9944725932749885 kappa 0.9805359489106854 kappa 0.9834538769243202 kappa 0.9917195359300357 kappa 0.9972348970176389 kappa 1 kappa 0.9695879792619948 kappa 0.9944590170601273 kappa 0.9833676661326008 kappa 1 kb_relative_information_score 0.9948497571132248 kb_relative_information_score 0.972586086709903 kb_relative_information_score 0.9833653232057844 kb_relative_information_score 0.9930100705845617 kb_relative_information_score 0.995405315790873 kb_relative_information_score 0.9997663162111415 kb_relative_information_score 0.9748743069672428 kb_relative_information_score 0.9964600113738276 kb_relative_information_score 0.981372790936585 kb_relative_information_score 0.9998632119503587 mean_absolute_error 0.002218349057215556 mean_absolute_error 0.005990151022836036 mean_absolute_error 0.006131921339902748 mean_absolute_error 0.0027432850553273103 mean_absolute_error 0.0010166886053071744 mean_absolute_error 0.00013578831319962996 mean_absolute_error 0.01059952060163212 mean_absolute_error 0.0014517210513093246 mean_absolute_error 0.006076314234255759 mean_absolute_error 0.00007803359023961965 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 0.9963995441413896 [1,0.995261,0.970588,1] precision 0.9874920119068518 [0.973568,1,1,0.987952] precision 0.9893249607535322 [0.986364,1,0.914286,1] precision 0.9946132299073475 [0.995455,1,0.941176,1] precision 0.998177178271965 [1,0.995261,1,1] precision 1 [1,1,1,1] precision 0.9802367287531754 [0.977477,0.985366,0.914286,1] precision 0.9963521188291832 [0.995475,1,1,0.988095] precision 0.9890025938667955 [0.986607,0.995146,0.96875,0.987952] precision 1 [1,1,1,1] predictive_accuracy 0.9963369963369964 predictive_accuracy 0.9871794871794871 predictive_accuracy 0.989010989010989 predictive_accuracy 0.9945054945054944 predictive_accuracy 0.9981684981684981 predictive_accuracy 1 predictive_accuracy 0.9798165137614678 predictive_accuracy 0.9963302752293578 predictive_accuracy 0.9889908256880734 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 0.006699058364470046 relative_absolute_error 0.01808929536289351 relative_absolute_error 0.018504494591620332 relative_absolute_error 0.0082784988025274 relative_absolute_error 0.0030680936292909146 relative_absolute_error 0.00040977272341325435 relative_absolute_error 0.03201105986283249 relative_absolute_error 0.004384507394616719 relative_absolute_error 0.018347128992410405 relative_absolute_error 0.000235618549448267 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 0.043952137318022166 root_mean_squared_error 0.07536376834008385 root_mean_squared_error 0.0749723758272808 root_mean_squared_error 0.04409384977679636 root_mean_squared_error 0.030345341870239063 root_mean_squared_error 0.0024928104907922873 root_mean_squared_error 0.09095905657769429 root_mean_squared_error 0.034932706334372135 root_mean_squared_error 0.06510114746727413 root_mean_squared_error 0.0024759630893577984 root_relative_squared_error 0.10803639856328966 root_relative_squared_error 0.18524764915771605 root_relative_squared_error 0.18415696010154745 root_relative_squared_error 0.1083090837720839 root_relative_squared_error 0.07453819957552914 root_relative_squared_error 0.006123167327005119 root_relative_squared_error 0.22359702007926657 root_relative_squared_error 0.0858768509062768 root_relative_squared_error 0.1600010144416836 root_relative_squared_error 0.006085247671195928 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 0.997737556561086 [0.99095,1,1,1] unweighted_recall 0.9533549783549784 [1,0.995238,0.818182,1] unweighted_recall 0.9866341991341991 [0.986364,0.990476,0.969697,1] unweighted_recall 0.9900974025974026 [0.995455,0.995238,0.969697,1] unweighted_recall 0.9924242424242424 [1,1,0.969697,1] unweighted_recall 1 [1,1,1,1] unweighted_recall 0.9870670995670996 [0.986364,0.961905,1,1] unweighted_recall 0.9976726060317391 [0.995475,0.995215,1,1] unweighted_recall 0.9800637958532695 [1,0.980861,0.939394,1] unweighted_recall 1 [1,1,1,1] usercpu_time_millis 5150.3707149995535 usercpu_time_millis 4007.45557800019 usercpu_time_millis 7561.750817000757 usercpu_time_millis 5587.246819999564 usercpu_time_millis 5454.005782999957 usercpu_time_millis 4128.883180999765 usercpu_time_millis 1408.8928759992996 usercpu_time_millis 4245.129075000477 usercpu_time_millis 1411.4693430001353 usercpu_time_millis 4409.97562100074 usercpu_time_millis_testing 8.744107999518747 usercpu_time_millis_testing 7.5570680000964785 usercpu_time_millis_testing 9.008494000227074 usercpu_time_millis_testing 8.755996999752824 usercpu_time_millis_testing 8.513151999977708 usercpu_time_millis_testing 7.81935400027578 usercpu_time_millis_testing 7.090842999787128 usercpu_time_millis_testing 7.928777000415721 usercpu_time_millis_testing 6.696331000057398 usercpu_time_millis_testing 5.529892000595282 usercpu_time_millis_training 5141.626607000035 usercpu_time_millis_training 3999.8985100000937 usercpu_time_millis_training 7552.74232300053 usercpu_time_millis_training 5578.490822999811 usercpu_time_millis_training 5445.492630999979 usercpu_time_millis_training 4121.063826999489 usercpu_time_millis_training 1401.8020329995124 usercpu_time_millis_training 4237.200298000062 usercpu_time_millis_training 1404.7730120000779 usercpu_time_millis_training 4404.445729000145 wall_clock_time_millis 5225.5401611328125 wall_clock_time_millis 4079.378366470337 wall_clock_time_millis 7719.522476196289 wall_clock_time_millis 5669.666767120361 wall_clock_time_millis 5531.656980514526 wall_clock_time_millis 4202.21734046936 wall_clock_time_millis 1440.9940242767334 wall_clock_time_millis 4313.649415969849 wall_clock_time_millis 1459.282636642456 wall_clock_time_millis 4462.149858474731 wall_clock_time_millis_testing 10.130167007446289 wall_clock_time_millis_testing 7.571697235107422 wall_clock_time_millis_testing 9.015083312988281 wall_clock_time_millis_testing 8.762359619140625 wall_clock_time_millis_testing 8.644342422485352 wall_clock_time_millis_testing 7.825374603271484 wall_clock_time_millis_testing 7.097482681274414 wall_clock_time_millis_testing 7.934093475341797 wall_clock_time_millis_testing 6.702184677124023 wall_clock_time_millis_testing 5.535364151000977 wall_clock_time_millis_training 5215.409994125366 wall_clock_time_millis_training 4071.8066692352295 wall_clock_time_millis_training 7710.507392883301 wall_clock_time_millis_training 5660.904407501221 wall_clock_time_millis_training 5523.012638092041 wall_clock_time_millis_training 4194.391965866089 wall_clock_time_millis_training 1433.896541595459 wall_clock_time_millis_training 4305.715322494507 wall_clock_time_millis_training 1452.580451965332 wall_clock_time_millis_training 4456.6144943237305 weighted_recall 0.9963369963369964 [0.99095,1,1,1] weighted_recall 0.9871794871794872 [1,0.995238,0.818182,1] weighted_recall 0.989010989010989 [0.986364,0.990476,0.969697,1] weighted_recall 0.9945054945054945 [0.995455,0.995238,0.969697,1] weighted_recall 0.9981684981684982 [1,1,0.969697,1] weighted_recall 1 [1,1,1,1] weighted_recall 0.9798165137614679 [0.986364,0.961905,1,1] weighted_recall 0.9963302752293578 [0.995475,0.995215,1,1] weighted_recall 0.9889908256880734 [1,0.980861,0.939394,1] weighted_recall 1 [1,1,1,1]