10584443 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) 8300725 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 0.20741371213745835 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 586 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 37 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 13 19040 random_state 4054 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.12779960970610363 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 22095154 description https://api.openml.org/data/download/22095154/description.xml -1 22095155 predictions https://api.openml.org/data/download/22095155/predictions.arff area_under_roc_curve 0.999748365952848 [0.999622,0.999991,0.998427,0.999993] average_cost 0 f_measure 0.9977982498165296 [0.997736,0.998331,0.990798,0.999394] kappa 0.996678174905923 kb_relative_information_score 0.9960187254997792 mean_absolute_error 0.001237159662130839 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.9978005865102639 [0.999093,0.998093,0.984756,0.998789] number_of_instances 5456 [2205,2097,328,826] precision 0.9978020404429853 [0.996382,0.998569,0.996914,1] predictive_accuracy 0.9978005865102639 prior_entropy 1.7146330399083418 relative_absolute_error 0.0037349552309889128 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.03188173878801789 root_relative_squared_error 0.07834437855427596 total_cost 0 unweighted_recall 0.9951827318608658 [0.999093,0.998093,0.984756,0.998789] area_under_roc_curve 0.9999597795997948 [0.999986,0.999972,1,0.999842] area_under_roc_curve 0.9997910731244064 [0.999819,1,0.997755,1] area_under_roc_curve 1 [1,1,1,1] area_under_roc_curve 0.9999874087436746 [1,0.999986,0.999882,1] 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] 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 0.9963379818039968 [0.997732,0.995261,1,0.993865] 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 1 [1,1,1,1] 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 0.9944637379908237 kappa 0.9861013532089073 kappa 0.9972375131546992 kappa 0.9972398453100119 kappa 1 kappa 1 kappa 0.9972279020559304 kappa 0.9972275636134258 kappa 1 kappa 0.9972289732456097 kb_relative_information_score 0.9943511774529423 kb_relative_information_score 0.9789606172705654 kb_relative_information_score 0.9978193185788878 kb_relative_information_score 0.9973967345140278 kb_relative_information_score 0.9997170048502367 kb_relative_information_score 0.9989694014512874 kb_relative_information_score 0.9976929325870242 kb_relative_information_score 0.9975571227169197 kb_relative_information_score 0.9997929056674694 kb_relative_information_score 0.9979327354131027 mean_absolute_error 0.0020028793312269165 mean_absolute_error 0.004595117989405547 mean_absolute_error 0.0009202449285096182 mean_absolute_error 0.0011382729544407856 mean_absolute_error 0.00016669419631786786 mean_absolute_error 0.0005717112948804939 mean_absolute_error 0.000963691283173865 mean_absolute_error 0.0010407845148977253 mean_absolute_error 0.00012006397783185378 mean_absolute_error 0.0008485178703998841 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 0.9963715529753265 [1,0.990566,1,1] 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 1 [1,1,1,1] 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 0.9963369963369964 predictive_accuracy 0.9908424908424908 predictive_accuracy 0.9981684981684981 predictive_accuracy 0.9981684981684981 predictive_accuracy 1 predictive_accuracy 1 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 0.006048374349941666 relative_absolute_error 0.013876519343304972 relative_absolute_error 0.002777052469959171 relative_absolute_error 0.003435002597337832 relative_absolute_error 0.0005030383925745868 relative_absolute_error 0.0017252714080399705 relative_absolute_error 0.002910393829530209 relative_absolute_error 0.003143391354458855 relative_absolute_error 0.0003625272169441599 relative_absolute_error 0.002562057559964036 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 0.04271222299392431 root_mean_squared_error 0.06599255437526569 root_mean_squared_error 0.025607494101782338 root_mean_squared_error 0.030234044936357684 root_mean_squared_error 0.0017780193979248296 root_mean_squared_error 0.00830493091677745 root_mean_squared_error 0.02978584494473807 root_mean_squared_error 0.029751314606079535 root_mean_squared_error 0.002389576752819815 root_mean_squared_error 0.023704826669598607 root_relative_squared_error 0.10498863146306174 root_relative_squared_error 0.1622127692018368 root_relative_squared_error 0.06290047791024606 root_relative_squared_error 0.0742648174826442 root_relative_squared_error 0.004367403909911496 root_relative_squared_error 0.020399658068866663 root_relative_squared_error 0.07322004449878765 root_relative_squared_error 0.07313917176173887 root_relative_squared_error 0.005872933418410659 root_relative_squared_error 0.058260053191945105 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 0.9958199977927381 [0.995475,1,1,0.987805] 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 1 [1,1,1,1] 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 7558.087532999707 usercpu_time_millis 15067.83772200015 usercpu_time_millis 8928.990327000065 usercpu_time_millis 9769.542661999367 usercpu_time_millis 8284.064035000483 usercpu_time_millis 7989.156778000506 usercpu_time_millis 9518.08119999987 usercpu_time_millis 9187.456883000777 usercpu_time_millis 10383.11704499938 usercpu_time_millis 6479.914910999469 usercpu_time_millis_testing 8.848035000482923 usercpu_time_millis_testing 11.024888000065403 usercpu_time_millis_testing 9.08535300004587 usercpu_time_millis_testing 9.758180999597243 usercpu_time_millis_testing 8.875318000718835 usercpu_time_millis_testing 8.925821000048018 usercpu_time_millis_testing 9.72902699959377 usercpu_time_millis_testing 9.167684000203735 usercpu_time_millis_testing 9.439018999728432 usercpu_time_millis_testing 6.144060000224272 usercpu_time_millis_training 7549.239497999224 usercpu_time_millis_training 15056.812834000084 usercpu_time_millis_training 8919.90497400002 usercpu_time_millis_training 9759.78448099977 usercpu_time_millis_training 8275.188716999764 usercpu_time_millis_training 7980.230957000458 usercpu_time_millis_training 9508.352173000276 usercpu_time_millis_training 9178.289199000574 usercpu_time_millis_training 10373.678025999652 usercpu_time_millis_training 6473.770850999244 wall_clock_time_millis 7699.966907501221 wall_clock_time_millis 15324.902534484863 wall_clock_time_millis 9118.692636489868 wall_clock_time_millis 9988.224506378174 wall_clock_time_millis 8451.25436782837 wall_clock_time_millis 8133.244276046753 wall_clock_time_millis 9673.749923706055 wall_clock_time_millis 9360.002994537354 wall_clock_time_millis 10540.472030639648 wall_clock_time_millis 6564.352035522461 wall_clock_time_millis_testing 8.85462760925293 wall_clock_time_millis_testing 11.031150817871094 wall_clock_time_millis_testing 9.091377258300781 wall_clock_time_millis_testing 15.870809555053711 wall_clock_time_millis_testing 10.263681411743164 wall_clock_time_millis_testing 8.93259048461914 wall_clock_time_millis_testing 9.753704071044922 wall_clock_time_millis_testing 9.175300598144531 wall_clock_time_millis_testing 9.45901870727539 wall_clock_time_millis_testing 6.149768829345703 wall_clock_time_millis_training 7691.112279891968 wall_clock_time_millis_training 15313.871383666992 wall_clock_time_millis_training 9109.601259231567 wall_clock_time_millis_training 9972.35369682312 wall_clock_time_millis_training 8440.990686416626 wall_clock_time_millis_training 8124.311685562134 wall_clock_time_millis_training 9663.99621963501 wall_clock_time_millis_training 9350.827693939209 wall_clock_time_millis_training 10531.013011932373 wall_clock_time_millis_training 6558.202266693115 weighted_recall 0.9963369963369964 [0.995475,1,1,0.987805] 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 1 [1,1,1,1] 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]