10584736 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) 8301018 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 0.1397339579079231 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1285 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 174 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 9 19040 random_state 43996 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.059134564716420715 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 22095740 description https://api.openml.org/data/download/22095740/description.xml -1 22095741 predictions https://api.openml.org/data/download/22095741/predictions.arff area_under_roc_curve 0.9999637542148289 [0.999934,0.999997,0.999858,1] average_cost 0 f_measure 0.9979804434388723 [0.997736,0.999046,0.98773,1] kappa 0.9969551900119515 kb_relative_information_score 0.9962682687676984 mean_absolute_error 0.0012706823437994774 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.9979838709677419 [0.999093,0.998569,0.981707,1] number_of_instances 5456 [2205,2097,328,826] precision 0.9979831494907785 [0.996382,0.999523,0.993827,1] predictive_accuracy 0.9979838709677419 prior_entropy 1.7146330399083418 relative_absolute_error 0.003836159399769689 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.02948175600281783 root_relative_squared_error 0.07244679683523483 total_cost 0 unweighted_recall 0.9948424181075479 [0.999093,0.998569,0.981707,1] area_under_roc_curve 1 [1,1,1,1] area_under_roc_curve 0.999732302485339 [0.999471,1,0.999114,1] 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 0.9981685968161318 [0.997732,0.997625,1,1] f_measure 0.9885351255886968 [0.986607,1,0.9,1] f_measure 1 [1,1,1,1] f_measure 0.9963865924819038 [0.997722,0.997613,0.970588,1] 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 1 [1,1,1,1] kappa 0.9972336641789911 kappa 0.9833056453010183 kappa 1 kappa 0.9944849041928869 kappa 1 kappa 1 kappa 0.9972279020559304 kappa 0.9972275636134258 kappa 1 kappa 1 kb_relative_information_score 0.9965998152266177 kb_relative_information_score 0.9800159559965061 kb_relative_information_score 0.9992083974741008 kb_relative_information_score 0.9955136784131193 kb_relative_information_score 0.9997548889991572 kb_relative_information_score 0.9980772413581853 kb_relative_information_score 0.9975380105305345 kb_relative_information_score 0.9978530577663136 kb_relative_information_score 0.9987568294246914 kb_relative_information_score 0.9993699072612731 mean_absolute_error 0.0015632791454636438 mean_absolute_error 0.004873155972400883 mean_absolute_error 0.0004015288074648122 mean_absolute_error 0.0019477116374222736 mean_absolute_error 0.00014471362695767676 mean_absolute_error 0.000940393197589692 mean_absolute_error 0.0010545361374946563 mean_absolute_error 0.0008753595184034878 mean_absolute_error 0.000566033382512636 mean_absolute_error 0.00033598964838680423 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 0.998177178271965 [1,0.995261,1,1] precision 0.9893014474512273 [0.973568,1,1,1] precision 1 [1,1,1,1] precision 0.9965463108320249 [1,1,0.942857,1] 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 1 [1,1,1,1] predictive_accuracy 0.9981684981684981 predictive_accuracy 0.989010989010989 predictive_accuracy 1 predictive_accuracy 0.9963369963369964 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.9981651376146788 predictive_accuracy 0.9981651376146788 predictive_accuracy 1 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 0.004720852293896776 relative_absolute_error 0.01471614945902859 relative_absolute_error 0.0012117062881681097 relative_absolute_error 0.005877671526244344 relative_absolute_error 0.00043670692739423874 relative_absolute_error 0.0028378545441470056 relative_absolute_error 0.0031847496404378613 relative_absolute_error 0.0026437725608006203 relative_absolute_error 0.0017091096810666676 relative_absolute_error 0.0010145040531832122 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 0.030388821512135743 root_mean_squared_error 0.06542323578946013 root_mean_squared_error 0.01031069313861909 root_mean_squared_error 0.03508850167944984 root_mean_squared_error 0.0013960172924439667 root_mean_squared_error 0.017160551079545068 root_mean_squared_error 0.029040373946374425 root_mean_squared_error 0.026812066611875775 root_mean_squared_error 0.01502712426047164 root_mean_squared_error 0.007942951570384835 root_relative_squared_error 0.07469713722903672 root_relative_squared_error 0.16081335762827592 root_relative_squared_error 0.025326473704426054 root_relative_squared_error 0.08618896937042538 root_relative_squared_error 0.0034290803511141475 root_relative_squared_error 0.04215199112479517 root_relative_squared_error 0.07138751566591381 root_relative_squared_error 0.06591346873836773 root_relative_squared_error 0.03693260747862161 root_relative_squared_error 0.01952162685859876 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 0.998868778280543 [0.995475,1,1,1] unweighted_recall 0.9545454545454546 [1,1,0.818182,1] unweighted_recall 1 [1,1,1,1] unweighted_recall 0.9976731601731602 [0.995455,0.995238,1,1] 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 1 [1,1,1,1] usercpu_time_millis 13126.62535399977 usercpu_time_millis 15658.3975930007 usercpu_time_millis 15676.19566600024 usercpu_time_millis 13625.077396000052 usercpu_time_millis 15637.990533999982 usercpu_time_millis 15637.277488000109 usercpu_time_millis 15657.91885500039 usercpu_time_millis 15660.144414999195 usercpu_time_millis 15622.777284998847 usercpu_time_millis 15494.828940000843 usercpu_time_millis_testing 11.199909999959345 usercpu_time_millis_testing 10.795975999826624 usercpu_time_millis_testing 10.971699000037916 usercpu_time_millis_testing 10.386388000370061 usercpu_time_millis_testing 11.829715000203578 usercpu_time_millis_testing 11.39984400015237 usercpu_time_millis_testing 10.830434000126843 usercpu_time_millis_testing 10.67156299995986 usercpu_time_millis_testing 10.727067999141582 usercpu_time_millis_testing 7.208147000710596 usercpu_time_millis_training 13115.425443999811 usercpu_time_millis_training 15647.601617000873 usercpu_time_millis_training 15665.223967000202 usercpu_time_millis_training 13614.691007999681 usercpu_time_millis_training 15626.160818999779 usercpu_time_millis_training 15625.877643999956 usercpu_time_millis_training 15647.088421000262 usercpu_time_millis_training 15649.472851999235 usercpu_time_millis_training 15612.050216999705 usercpu_time_millis_training 15487.620793000133 wall_clock_time_millis 13375.184297561646 wall_clock_time_millis 15913.059711456299 wall_clock_time_millis 16002.191305160522 wall_clock_time_millis 13897.369861602783 wall_clock_time_millis 15920.002460479736 wall_clock_time_millis 15921.553611755371 wall_clock_time_millis 15925.560474395752 wall_clock_time_millis 15959.359169006348 wall_clock_time_millis 15868.086576461792 wall_clock_time_millis 15772.439002990723 wall_clock_time_millis_testing 11.329412460327148 wall_clock_time_millis_testing 10.888814926147461 wall_clock_time_millis_testing 10.977745056152344 wall_clock_time_millis_testing 10.39266586303711 wall_clock_time_millis_testing 11.837959289550781 wall_clock_time_millis_testing 11.408090591430664 wall_clock_time_millis_testing 10.836124420166016 wall_clock_time_millis_testing 10.684490203857422 wall_clock_time_millis_testing 10.733366012573242 wall_clock_time_millis_testing 7.213592529296875 wall_clock_time_millis_training 13363.854885101318 wall_clock_time_millis_training 15902.170896530151 wall_clock_time_millis_training 15991.21356010437 wall_clock_time_millis_training 13886.977195739746 wall_clock_time_millis_training 15908.164501190186 wall_clock_time_millis_training 15910.14552116394 wall_clock_time_millis_training 15914.724349975586 wall_clock_time_millis_training 15948.67467880249 wall_clock_time_millis_training 15857.353210449219 wall_clock_time_millis_training 15765.225410461426 weighted_recall 0.9981684981684982 [0.995475,1,1,1] weighted_recall 0.989010989010989 [1,1,0.818182,1] weighted_recall 1 [1,1,1,1] weighted_recall 0.9963369963369964 [0.995455,0.995238,1,1] 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 1 [1,1,1,1]