10584740 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) 8301022 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 "median" 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 0.1371099935143388 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1233 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 62 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 12 19040 random_state 4082 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.05445785119313557 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 22095748 description https://api.openml.org/data/download/22095748/description.xml -1 22095749 predictions https://api.openml.org/data/download/22095749/predictions.arff area_under_roc_curve 0.9998003292232115 [0.999655,0.999994,0.999325,0.999886] average_cost 0 f_measure 0.9972472964455307 [0.997055,0.997855,0.989247,0.999394] kappa 0.995847368675825 kb_relative_information_score 0.9947572517284777 mean_absolute_error 0.001793178806952021 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.9972507331378299 [0.998186,0.998093,0.981707,0.998789] number_of_instances 5456 [2205,2097,328,826] precision 0.997252064761163 [0.995928,0.997617,0.996904,1] predictive_accuracy 0.9972507331378299 prior_entropy 1.7146330399083418 relative_absolute_error 0.005413563641081278 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.0336670464918151 root_relative_squared_error 0.08273149255430413 total_cost 0 unweighted_recall 0.9941937793693 [0.998186,0.998093,0.981707,0.998789] area_under_roc_curve 0.9999763167866615 [1,1,1,0.999842] area_under_roc_curve 0.9998051780777826 [0.999722,1,0.998641,1] 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 0.9999664585828038 [0.99993,0.999986,1,1] 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 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 0.9945110354554292 [0.995455,0.992908,1,0.993865] f_measure 0.9905183995843035 [0.988814,1,0.918033,1] f_measure 0.9981685873558463 [0.997722,0.997625,1,1] f_measure 0.9981799805295691 [1,0.997613,0.985075,1] f_measure 1 [1,1,1,1] f_measure 0.9963250830416918 [0.995455,0.997625,0.984615,1] 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 0.9916960700815185 kappa 0.9861013532089073 kappa 0.9972375131546992 kappa 0.9972398453100119 kappa 1 kappa 0.9944697940352779 kappa 0.9972279020559304 kappa 0.9972275636134258 kappa 1 kappa 0.9972289732456097 kb_relative_information_score 0.9929323446565155 kb_relative_information_score 0.9797471077945293 kb_relative_information_score 0.9971652592622806 kb_relative_information_score 0.9963654727318394 kb_relative_information_score 0.9978964185185069 kb_relative_information_score 0.991615183261943 kb_relative_information_score 0.9972418423904061 kb_relative_information_score 0.9970168172713114 kb_relative_information_score 0.9996635577907911 kb_relative_information_score 0.9979479284453242 mean_absolute_error 0.0024888793589204223 mean_absolute_error 0.004663666973767073 mean_absolute_error 0.0012970311618652358 mean_absolute_error 0.0017367599813393278 mean_absolute_error 0.001124303221830098 mean_absolute_error 0.00279227320965472 mean_absolute_error 0.0012351493661641563 mean_absolute_error 0.0013634380769850288 mean_absolute_error 0.000192944265841924 mean_absolute_error 0.001031206964958379 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 0.9945828819068256 [1,0.985915,1,1] precision 0.9910450906026128 [0.977876,1,1,1] precision 0.998177178271965 [1,0.995261,1,1] precision 0.9982223658694247 [1,1,0.970588,1] precision 1 [1,1,1,1] precision 0.9963456764404631 [0.995455,0.995261,1,1] 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 0.9945054945054944 predictive_accuracy 0.9908424908424908 predictive_accuracy 0.9981684981684981 predictive_accuracy 0.9981684981684981 predictive_accuracy 1 predictive_accuracy 0.9963369963369964 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 0.007516016486810523 relative_absolute_error 0.014083526281897137 relative_absolute_error 0.003914092303127775 relative_absolute_error 0.005241075985841973 relative_absolute_error 0.0033928456897045467 relative_absolute_error 0.00842633191821107 relative_absolute_error 0.00373021024118131 relative_absolute_error 0.004117873971209017 relative_absolute_error 0.0005825856262980594 relative_absolute_error 0.003113678205992377 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 0.04608756524736852 root_mean_squared_error 0.06431987646759176 root_mean_squared_error 0.02885785191717768 root_mean_squared_error 0.027081217577983922 root_mean_squared_error 0.013099835931980098 root_mean_squared_error 0.03893005853012684 root_mean_squared_error 0.027007728601953 root_mean_squared_error 0.028802556827618876 root_mean_squared_error 0.0036025405915672145 root_mean_squared_error 0.015598230818970047 root_relative_squared_error 0.11328537977229777 root_relative_squared_error 0.15810124907725412 root_relative_squared_error 0.07088443210564858 root_relative_squared_error 0.06652043035823577 root_relative_squared_error 0.03217753120989728 root_relative_squared_error 0.09562510399830154 root_relative_squared_error 0.06639083409300842 root_relative_squared_error 0.07080679220009961 root_relative_squared_error 0.008854070498647575 root_relative_squared_error 0.038336232948663874 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 0.9946887760732811 [0.99095,1,1,0.987805] unweighted_recall 0.9621212121212122 [1,1,0.848485,1] unweighted_recall 0.9988636363636364 [0.995455,1,1,1] unweighted_recall 0.9988095238095238 [1,0.995238,1,1] unweighted_recall 1 [1,1,1,1] unweighted_recall 0.9912878787878788 [0.995455,1,0.969697,1] 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 15966.936508999424 usercpu_time_millis 15290.878817999328 usercpu_time_millis 10523.627251001017 usercpu_time_millis 9715.088097999796 usercpu_time_millis 9239.666799000588 usercpu_time_millis 9558.427981999557 usercpu_time_millis 11010.246769999867 usercpu_time_millis 10065.530609000234 usercpu_time_millis 14533.411894000892 usercpu_time_millis 9861.434024000118 usercpu_time_millis_testing 10.73505899967131 usercpu_time_millis_testing 10.353359999498934 usercpu_time_millis_testing 9.416783000233409 usercpu_time_millis_testing 10.239173999252671 usercpu_time_millis_testing 10.062628000014229 usercpu_time_millis_testing 9.090671000194561 usercpu_time_millis_testing 9.33402800001204 usercpu_time_millis_testing 9.085632999813242 usercpu_time_millis_testing 6.959965000532975 usercpu_time_millis_testing 9.834235000198532 usercpu_time_millis_training 15956.201449999753 usercpu_time_millis_training 15280.525457999829 usercpu_time_millis_training 10514.210468000783 usercpu_time_millis_training 9704.848924000544 usercpu_time_millis_training 9229.604171000574 usercpu_time_millis_training 9549.337310999363 usercpu_time_millis_training 11000.912741999855 usercpu_time_millis_training 10056.44497600042 usercpu_time_millis_training 14526.451929000359 usercpu_time_millis_training 9851.59978899992 wall_clock_time_millis 16216.330766677856 wall_clock_time_millis 15578.222513198853 wall_clock_time_millis 10685.622215270996 wall_clock_time_millis 9926.483154296875 wall_clock_time_millis 9418.709993362427 wall_clock_time_millis 9738.065481185913 wall_clock_time_millis 11232.489347457886 wall_clock_time_millis 10255.250692367554 wall_clock_time_millis 14748.992204666138 wall_clock_time_millis 10056.542873382568 wall_clock_time_millis_testing 10.875463485717773 wall_clock_time_millis_testing 10.358810424804688 wall_clock_time_millis_testing 9.449481964111328 wall_clock_time_millis_testing 10.561227798461914 wall_clock_time_millis_testing 10.210752487182617 wall_clock_time_millis_testing 9.105205535888672 wall_clock_time_millis_testing 9.33980941772461 wall_clock_time_millis_testing 9.092092514038086 wall_clock_time_millis_testing 6.964445114135742 wall_clock_time_millis_testing 9.851217269897461 wall_clock_time_millis_training 16205.455303192139 wall_clock_time_millis_training 15567.863702774048 wall_clock_time_millis_training 10676.172733306885 wall_clock_time_millis_training 9915.921926498413 wall_clock_time_millis_training 9408.499240875244 wall_clock_time_millis_training 9728.960275650024 wall_clock_time_millis_training 11223.149538040161 wall_clock_time_millis_training 10246.158599853516 wall_clock_time_millis_training 14742.027759552002 wall_clock_time_millis_training 10046.69165611267 weighted_recall 0.9945054945054945 [0.99095,1,1,0.987805] weighted_recall 0.9908424908424909 [1,1,0.848485,1] weighted_recall 0.9981684981684982 [0.995455,1,1,1] weighted_recall 0.9981684981684982 [1,0.995238,1,1] weighted_recall 1 [1,1,1,1] weighted_recall 0.9963369963369964 [0.995455,1,0.969697,1] 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]