10584702 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) 8300984 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 0.6898376279857141 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 604 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 50 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 14 19040 random_state 39465 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.03941819298209935 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 22095672 description https://api.openml.org/data/download/22095672/description.xml -1 22095673 predictions https://api.openml.org/data/download/22095673/predictions.arff area_under_roc_curve 0.9999689634192779 [0.999942,0.999995,0.999909,1] average_cost 0 f_measure 0.9976161657900628 [0.997736,0.998091,0.990826,0.998789] kappa 0.9964022339749065 kb_relative_information_score 0.9961257279742766 mean_absolute_error 0.0012123438368067125 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.9976173020527859 [0.999093,0.997139,0.987805,0.998789] number_of_instances 5456 [2205,2097,328,826] precision 0.9976183316404523 [0.996382,0.999044,0.993865,0.998789] predictive_accuracy 0.997617302052786 prior_entropy 1.7146330399083418 relative_absolute_error 0.0036600368518639307 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.031232143646856704 root_relative_squared_error 0.07674810025890029 total_cost 0 unweighted_recall 0.9957064911220636 [0.999093,0.997139,0.987805,0.998789] area_under_roc_curve 0.9999778274228824 [0.999972,0.999972,1,1] area_under_roc_curve 0.9998638059096898 [0.999708,1,0.999705,1] 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] 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 0.9945135443258325 [0.995475,0.995238,0.985075,0.993865] f_measure 0.9906423845188175 [0.991031,0.997613,0.935484,0.993939] 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 0.9917025900279114 kappa 0.9861236771747197 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 0.9924102055840959 kb_relative_information_score 0.9800790595197468 kb_relative_information_score 0.9980179853990637 kb_relative_information_score 0.99742422423841 kb_relative_information_score 0.999961081519356 kb_relative_information_score 0.9994735059962397 kb_relative_information_score 0.9975255084753649 kb_relative_information_score 0.9977218128213695 kb_relative_information_score 0.9999472211514217 kb_relative_information_score 0.9986989796589476 mean_absolute_error 0.0026739613278623964 mean_absolute_error 0.00468312168141606 mean_absolute_error 0.0007999319232129859 mean_absolute_error 0.001115435909765376 mean_absolute_error 0.000023049573780253015 mean_absolute_error 0.00026634506413893285 mean_absolute_error 0.0010546006114085925 mean_absolute_error 0.0009462624152434089 mean_absolute_error 0.00003115560684170336 mean_absolute_error 0.000525376488416982 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 0.9945593622064209 [0.995475,0.995238,0.970588,1] precision 0.9909947972598575 [0.982222,1,1,0.987952] 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 0.9945054945054944 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 0.00807493434877657 relative_absolute_error 0.014142276378767756 relative_absolute_error 0.0024139800767558305 relative_absolute_error 0.0033660865192833454 relative_absolute_error 0.00006955743391232256 relative_absolute_error 0.0008037579945443041 relative_absolute_error 0.0031849443547458164 relative_absolute_error 0.0028579144410289187 relative_absolute_error 0.00009407280721905728 relative_absolute_error 0.0015863482089560838 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 0.043380909351812325 root_mean_squared_error 0.06377441996350948 root_mean_squared_error 0.026207782644459648 root_mean_squared_error 0.02997589703186176 root_mean_squared_error 0.00041536848428021424 root_mean_squared_error 0.008675724327966334 root_mean_squared_error 0.030550693326808268 root_mean_squared_error 0.030210532063839647 root_mean_squared_error 0.0006359117202393465 root_mean_squared_error 0.017172514106369018 root_relative_squared_error 0.10663229364385404 root_relative_squared_error 0.15676049161084055 root_relative_squared_error 0.06437498518020263 root_relative_squared_error 0.07363072081938687 root_relative_squared_error 0.0010202824245993487 root_relative_squared_error 0.021310449366017753 root_relative_squared_error 0.0751002071288526 root_relative_squared_error 0.07426808942348961 root_relative_squared_error 0.0015628990316153607 root_relative_squared_error 0.04220539551801867 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 0.9946295216022619 [0.995475,0.995238,1,0.987805] unweighted_recall 0.9685064935064935 [1,0.995238,0.878788,1] 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 5763.16146299996 usercpu_time_millis 6081.935215999692 usercpu_time_millis 5594.631681999999 usercpu_time_millis 5447.5769760010735 usercpu_time_millis 5616.782479000904 usercpu_time_millis 6265.843737000068 usercpu_time_millis 5891.543847999856 usercpu_time_millis 5899.805181999909 usercpu_time_millis 5410.284175000015 usercpu_time_millis 5607.6225510005315 usercpu_time_millis_testing 8.225373999266594 usercpu_time_millis_testing 7.766902999719605 usercpu_time_millis_testing 7.7521410003100755 usercpu_time_millis_testing 7.833017000848486 usercpu_time_millis_testing 8.017168000151287 usercpu_time_millis_testing 8.242543000051228 usercpu_time_millis_testing 8.042254999963916 usercpu_time_millis_testing 8.35955799993826 usercpu_time_millis_testing 7.754840000416152 usercpu_time_millis_testing 5.30384600006073 usercpu_time_millis_training 5754.936089000694 usercpu_time_millis_training 6074.168312999973 usercpu_time_millis_training 5586.879540999689 usercpu_time_millis_training 5439.743959000225 usercpu_time_millis_training 5608.765311000752 usercpu_time_millis_training 6257.601194000017 usercpu_time_millis_training 5883.501592999892 usercpu_time_millis_training 5891.445623999971 usercpu_time_millis_training 5402.529334999599 usercpu_time_millis_training 5602.318705000471 wall_clock_time_millis 5863.735914230347 wall_clock_time_millis 6255.1116943359375 wall_clock_time_millis 5673.309803009033 wall_clock_time_millis 5545.489072799683 wall_clock_time_millis 5682.224273681641 wall_clock_time_millis 6419.317722320557 wall_clock_time_millis 5978.653907775879 wall_clock_time_millis 5989.864110946655 wall_clock_time_millis 5537.201404571533 wall_clock_time_millis 5678.557634353638 wall_clock_time_millis_testing 9.561777114868164 wall_clock_time_millis_testing 7.772922515869141 wall_clock_time_millis_testing 7.758140563964844 wall_clock_time_millis_testing 7.838964462280273 wall_clock_time_millis_testing 8.022546768188477 wall_clock_time_millis_testing 8.249044418334961 wall_clock_time_millis_testing 8.054733276367188 wall_clock_time_millis_testing 8.36634635925293 wall_clock_time_millis_testing 7.798194885253906 wall_clock_time_millis_testing 5.308628082275391 wall_clock_time_millis_training 5854.1741371154785 wall_clock_time_millis_training 6247.338771820068 wall_clock_time_millis_training 5665.551662445068 wall_clock_time_millis_training 5537.650108337402 wall_clock_time_millis_training 5674.201726913452 wall_clock_time_millis_training 6411.068677902222 wall_clock_time_millis_training 5970.599174499512 wall_clock_time_millis_training 5981.497764587402 wall_clock_time_millis_training 5529.403209686279 wall_clock_time_millis_training 5673.249006271362 weighted_recall 0.9945054945054945 [0.995475,0.995238,1,0.987805] weighted_recall 0.9908424908424909 [1,0.995238,0.878788,1] 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]