10584552 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) 8300834 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 0.03658300706601263 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1678 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 56 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 15 19040 random_state 21728 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.21000940989381528 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 22095372 description https://api.openml.org/data/download/22095372/description.xml -1 22095373 predictions https://api.openml.org/data/download/22095373/predictions.arff area_under_roc_curve 0.9998135850297472 [0.999888,0.99991,0.999713,0.99941] average_cost 0 f_measure 0.9957741946909648 [0.995698,0.996665,0.982998,0.998788] kappa 0.9936298641843466 kb_relative_information_score 0.9758164604614937 mean_absolute_error 0.012127495647641102 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.9957844574780058 [0.997279,0.997616,0.969512,0.997579] number_of_instances 5456 [2205,2097,328,826] precision 0.9957899671503163 [0.994123,0.995716,0.996865,1] predictive_accuracy 0.9957844574780058 prior_entropy 1.7146330399083418 relative_absolute_error 0.03661261734797982 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.04503785556811218 root_relative_squared_error 0.1106734745354318 total_cost 0 unweighted_recall 0.9904963601432473 [0.997279,0.997616,0.969512,0.997579] area_under_roc_curve 0.9985730687568505 [0.999694,0.999178,1,0.993429] area_under_roc_curve 0.9995898798058042 [0.999401,1,0.997224,1] area_under_roc_curve 0.9999739574058808 [0.999944,1,0.999941,1] area_under_roc_curve 0.99997276956258 [0.999986,0.999972,0.999823,1] area_under_roc_curve 1 [1,1,1,1] area_under_roc_curve 0.999952761818561 [0.999902,1,1,0.999948] area_under_roc_curve 1 [1,1,1,1] area_under_roc_curve 0.9999943368444897 [0.999986,1,1,1] 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 0.9926805177245934 [0.995455,0.990566,0.984615,0.993865] f_measure 0.9885351255886968 [0.986607,1,0.9,1] f_measure 0.9963250830416918 [0.995455,0.997625,0.984615,1] f_measure 0.9963439776271431 [0.997732,0.995215,0.985075,1] f_measure 0.996329501971862 [0.997722,0.995261,0.984615,1] f_measure 0.9926630342962826 [0.990909,0.995261,0.984615,0.993939] 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 0.9981650084906499 [0.997743,0.997602,1,1] kappa 0.9889181495745362 kappa 0.9833056453010183 kappa 0.9944697940352779 kappa 0.9944794115416699 kappa 0.994470074086828 kappa 0.9889324698227371 kappa 0.9972279020559304 kappa 0.9972275636134258 kappa 1 kappa 0.9972289732456097 kb_relative_information_score 0.9711718066847277 kb_relative_information_score 0.9581225602342128 kb_relative_information_score 0.9767381946571713 kb_relative_information_score 0.9741682354465264 kb_relative_information_score 0.9789532172801043 kb_relative_information_score 0.973848075570547 kb_relative_information_score 0.9800684435981667 kb_relative_information_score 0.9833527826550078 kb_relative_information_score 0.9806642359725768 kb_relative_information_score 0.9811251680267697 mean_absolute_error 0.014474920968397776 mean_absolute_error 0.01525497077328437 mean_absolute_error 0.01182631190217638 mean_absolute_error 0.01356485747396054 mean_absolute_error 0.011242594147294439 mean_absolute_error 0.012965692580569987 mean_absolute_error 0.011132793408423823 mean_absolute_error 0.009284304794788333 mean_absolute_error 0.010950197809274545 mean_absolute_error 0.010566267895378244 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 0.9928109273903666 [1,0.981308,1,1] precision 0.9893014474512273 [0.973568,1,1,1] precision 0.9963456764404631 [0.995455,0.995261,1,1] precision 0.996399151376527 [0.995475,1,0.970588,1] precision 0.9963715529753265 [1,0.990566,1,1] precision 0.9927085493123229 [0.990909,0.990566,1,1] precision 0.9981734401594088 [0.995475,1,1,1] precision 0.9981734027605588 [0.995495,1,1,1] precision 1 [1,1,1,1] precision 0.9981734027605588 [0.995495,1,1,1] predictive_accuracy 0.9926739926739927 predictive_accuracy 0.989010989010989 predictive_accuracy 0.9963369963369964 predictive_accuracy 0.9963369963369964 predictive_accuracy 0.9963369963369964 predictive_accuracy 0.9926739926739927 predictive_accuracy 0.9981651376146788 predictive_accuracy 0.9981651376146788 predictive_accuracy 1 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 0.04371193977475367 relative_absolute_error 0.04606756507778325 relative_absolute_error 0.03568863860150378 relative_absolute_error 0.04093510302057862 relative_absolute_error 0.033927134916197706 relative_absolute_error 0.03912698401274248 relative_absolute_error 0.03362156927953208 relative_absolute_error 0.028040581894097825 relative_absolute_error 0.033063578339407124 relative_absolute_error 0.03190432103592713 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 0.057427428399805636 root_mean_squared_error 0.07140067514247145 root_mean_squared_error 0.04492115856873085 root_mean_squared_error 0.048755915208933076 root_mean_squared_error 0.03632016706511397 root_mean_squared_error 0.049129824287597865 root_mean_squared_error 0.0316493379065774 root_mean_squared_error 0.03236971738343668 root_mean_squared_error 0.02849950927239789 root_mean_squared_error 0.02984099951937418 root_relative_squared_error 0.14115929103002198 root_relative_squared_error 0.17550618168043017 root_relative_squared_error 0.11034122788525606 root_relative_squared_error 0.1197606589463149 root_relative_squared_error 0.08921434706165325 root_relative_squared_error 0.12067910335362447 root_relative_squared_error 0.0778009129563453 root_relative_squared_error 0.0795761246497099 root_relative_squared_error 0.07004408634987708 root_relative_squared_error 0.07334110658270367 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 0.9871130184975235 [0.99095,1,0.969697,0.987805] unweighted_recall 0.9545454545454546 [1,1,0.818182,1] unweighted_recall 0.9912878787878788 [0.995455,1,0.969697,1] unweighted_recall 0.9976190476190476 [1,0.990476,1,1] unweighted_recall 0.9912878787878788 [0.995455,1,0.969697,1] unweighted_recall 0.9871394669587441 [0.990909,1,0.969697,0.987952] 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 0.9988038277511961 [1,0.995215,1,1] usercpu_time_millis 13679.483748000166 usercpu_time_millis 13688.529084000038 usercpu_time_millis 13726.249733999794 usercpu_time_millis 13696.345570999256 usercpu_time_millis 13687.889344000723 usercpu_time_millis 13686.698884999714 usercpu_time_millis 13692.099701000188 usercpu_time_millis 13695.304136999766 usercpu_time_millis 13709.696070000064 usercpu_time_millis 13669.686258999718 usercpu_time_millis_testing 10.243994000120438 usercpu_time_millis_testing 10.684435000257508 usercpu_time_millis_testing 10.77193199944304 usercpu_time_millis_testing 10.955131999253354 usercpu_time_millis_testing 10.298052000507596 usercpu_time_millis_testing 10.397250000096392 usercpu_time_millis_testing 10.328358000151638 usercpu_time_millis_testing 10.318970999833255 usercpu_time_millis_testing 10.038256000370893 usercpu_time_millis_testing 6.6345820005153655 usercpu_time_millis_training 13669.239754000046 usercpu_time_millis_training 13677.84464899978 usercpu_time_millis_training 13715.47780200035 usercpu_time_millis_training 13685.390439000003 usercpu_time_millis_training 13677.591292000216 usercpu_time_millis_training 13676.301634999618 usercpu_time_millis_training 13681.771343000037 usercpu_time_millis_training 13684.985165999933 usercpu_time_millis_training 13699.657813999693 usercpu_time_millis_training 13663.051676999203 wall_clock_time_millis 13936.760663986206 wall_clock_time_millis 13954.882860183716 wall_clock_time_millis 14049.895286560059 wall_clock_time_millis 13881.961107254028 wall_clock_time_millis 13929.393768310547 wall_clock_time_millis 13902.74167060852 wall_clock_time_millis 13966.949224472046 wall_clock_time_millis 13917.495489120483 wall_clock_time_millis 13944.32544708252 wall_clock_time_millis 13967.418909072876 wall_clock_time_millis_testing 10.329723358154297 wall_clock_time_millis_testing 13.127803802490234 wall_clock_time_millis_testing 11.12055778503418 wall_clock_time_millis_testing 10.964393615722656 wall_clock_time_millis_testing 10.336875915527344 wall_clock_time_millis_testing 10.44321060180664 wall_clock_time_millis_testing 10.333776473999023 wall_clock_time_millis_testing 10.324716567993164 wall_clock_time_millis_testing 10.050058364868164 wall_clock_time_millis_testing 6.639003753662109 wall_clock_time_millis_training 13926.430940628052 wall_clock_time_millis_training 13941.755056381226 wall_clock_time_millis_training 14038.774728775024 wall_clock_time_millis_training 13870.996713638306 wall_clock_time_millis_training 13919.05689239502 wall_clock_time_millis_training 13892.298460006714 wall_clock_time_millis_training 13956.615447998047 wall_clock_time_millis_training 13907.17077255249 wall_clock_time_millis_training 13934.275388717651 wall_clock_time_millis_training 13960.779905319214 weighted_recall 0.9926739926739927 [0.99095,1,0.969697,0.987805] weighted_recall 0.989010989010989 [1,1,0.818182,1] weighted_recall 0.9963369963369964 [0.995455,1,0.969697,1] weighted_recall 0.9963369963369964 [1,0.990476,1,1] weighted_recall 0.9963369963369964 [0.995455,1,0.969697,1] weighted_recall 0.9926739926739927 [0.990909,1,0.969697,0.987952] 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 0.998165137614679 [1,0.995215,1,1]