10584496 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) 8300778 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 "mean" 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 0.6165844387859816 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 338 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 191 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 7 19040 random_state 32577 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.14690570412431295 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 22095260 description https://api.openml.org/data/download/22095260/description.xml -1 22095261 predictions https://api.openml.org/data/download/22095261/predictions.arff area_under_roc_curve 0.9999531075573679 [0.999918,0.999995,0.999805,1] average_cost 0 f_measure 0.9970632137319191 [0.996606,0.998091,0.986175,1] kappa 0.995570715149178 kb_relative_information_score 0.9952588703281019 mean_absolute_error 0.0015003895970975836 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.9970674486803519 [0.998639,0.997139,0.978659,1] number_of_instances 5456 [2205,2097,328,826] precision 0.9970700143824764 [0.99458,0.999044,0.993808,1] predictive_accuracy 0.9970674486803519 prior_entropy 1.7146330399083418 relative_absolute_error 0.004529640066464043 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.03415222071755411 root_relative_squared_error 0.0839237322078189 total_cost 0 unweighted_recall 0.9936091905096593 [0.998639,0.997139,0.978659,1] area_under_roc_curve 0.9999778274228824 [0.999972,0.999972,1,1] area_under_roc_curve 0.9997518341108085 [0.999554,1,0.998878,1] area_under_roc_curve 1 [1,1,1,1] area_under_roc_curve 0.9999928596419826 [1,1,0.999882,1] 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 0.9945090685963078 [0.993166,0.995261,0.985075,1] f_measure 0.9885351255886968 [0.986607,1,0.9,1] f_measure 1 [1,1,1,1] f_measure 0.9963439776271431 [0.997732,0.995215,0.985075,1] 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 0.9981650084906499 [0.997743,0.997602,1,1] f_measure 0.9963222259743941 [0.995495,0.997602,0.984615,1] kappa 0.9917093515275445 kappa 0.9833056453010183 kappa 1 kappa 0.9944794115416699 kappa 1 kappa 1 kappa 0.9972279020559304 kappa 0.9972275636134258 kappa 0.9972289732456097 kappa 0.9944526439004527 kb_relative_information_score 0.9936153559011516 kb_relative_information_score 0.9781745166015122 kb_relative_information_score 0.9992606177680855 kb_relative_information_score 0.9948585554591942 kb_relative_information_score 0.999875679981972 kb_relative_information_score 0.9984797668724772 kb_relative_information_score 0.9979542196126664 kb_relative_information_score 0.998178648787001 kb_relative_information_score 0.9980882984693512 kb_relative_information_score 0.9941042613586438 mean_absolute_error 0.0026656071463227785 mean_absolute_error 0.005027066272796412 mean_absolute_error 0.00041949298021131597 mean_absolute_error 0.0022096274199558262 mean_absolute_error 0.00007269663547053253 mean_absolute_error 0.0007643801949259196 mean_absolute_error 0.0008286307993215715 mean_absolute_error 0.0007121407212911564 mean_absolute_error 0.000751719969061243 mean_absolute_error 0.001548576890211629 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 0.9945939188447512 [1,0.990566,0.970588,1] precision 0.9893014474512273 [0.973568,1,1,1] precision 1 [1,1,1,1] precision 0.996399151376527 [0.995475,1,0.970588,1] 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 0.9981734027605588 [0.995495,1,1,1] precision 0.9963631875591393 [0.991031,1,1,1] predictive_accuracy 0.9945054945054944 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 0.9981651376146788 predictive_accuracy 0.9963302752293578 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 0.008049706060406335 relative_absolute_error 0.015180933881430058 relative_absolute_error 0.0012659173451931634 relative_absolute_error 0.00666806313642586 relative_absolute_error 0.00021937895535933266 relative_absolute_error 0.0023066944924594723 relative_absolute_error 0.002502504699805496 relative_absolute_error 0.002150816960112717 relative_absolute_error 0.0022697811052602105 relative_absolute_error 0.004675850995197664 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 0.046867941757134886 root_mean_squared_error 0.06781435749628331 root_mean_squared_error 0.006061309216185241 root_mean_squared_error 0.042905032175320455 root_mean_squared_error 0.001514892944246781 root_mean_squared_error 0.014463874798813697 root_mean_squared_error 0.024075038981679533 root_mean_squared_error 0.02252055819531812 root_mean_squared_error 0.02429057796299132 root_mean_squared_error 0.033151089515624475 root_relative_squared_error 0.1152035815432041 root_relative_squared_error 0.16669084603941986 root_relative_squared_error 0.01488858085623045 root_relative_squared_error 0.10538895441527417 root_relative_squared_error 0.0037210782826793674 root_relative_squared_error 0.03552806196745439 root_relative_squared_error 0.05918164916318857 root_relative_squared_error 0.05536343505577478 root_relative_squared_error 0.05969967145981779 root_relative_squared_error 0.08147641260875414 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 0.996606334841629 [0.986425,1,1,1] unweighted_recall 0.9545454545454546 [1,1,0.818182,1] unweighted_recall 1 [1,1,1,1] unweighted_recall 0.9976190476190476 [1,0.990476,1,1] 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 0.9988038277511961 [1,0.995215,1,1] unweighted_recall 0.9912280701754386 [1,0.995215,0.969697,1] usercpu_time_millis 3994.369567999456 usercpu_time_millis 4540.91113100003 usercpu_time_millis 3278.157134000139 usercpu_time_millis 3564.636404999874 usercpu_time_millis 4414.040220998686 usercpu_time_millis 3704.548822999641 usercpu_time_millis 5249.210226999821 usercpu_time_millis 5118.619584000044 usercpu_time_millis 5047.001964999254 usercpu_time_millis 3575.355175998993 usercpu_time_millis_testing 7.848200999433175 usercpu_time_millis_testing 7.807875999787939 usercpu_time_millis_testing 7.412799000121595 usercpu_time_millis_testing 7.988428999851749 usercpu_time_millis_testing 8.004585999515257 usercpu_time_millis_testing 7.492253000236815 usercpu_time_millis_testing 7.884181000008539 usercpu_time_millis_testing 8.182517000022926 usercpu_time_millis_testing 5.527723999875889 usercpu_time_millis_testing 7.347638999817718 usercpu_time_millis_training 3986.521367000023 usercpu_time_millis_training 4533.103255000242 usercpu_time_millis_training 3270.7443350000176 usercpu_time_millis_training 3556.647976000022 usercpu_time_millis_training 4406.035634999171 usercpu_time_millis_training 3697.056569999404 usercpu_time_millis_training 5241.326045999813 usercpu_time_millis_training 5110.437067000021 usercpu_time_millis_training 5041.474240999378 usercpu_time_millis_training 3568.0075369991755 wall_clock_time_millis 4105.11040687561 wall_clock_time_millis 4654.454231262207 wall_clock_time_millis 3346.6556072235107 wall_clock_time_millis 3613.016128540039 wall_clock_time_millis 4489.737987518311 wall_clock_time_millis 3754.776954650879 wall_clock_time_millis 5362.839937210083 wall_clock_time_millis 5193.905830383301 wall_clock_time_millis 5109.984874725342 wall_clock_time_millis 3648.4036445617676 wall_clock_time_millis_testing 9.284734725952148 wall_clock_time_millis_testing 7.813692092895508 wall_clock_time_millis_testing 7.418632507324219 wall_clock_time_millis_testing 7.995128631591797 wall_clock_time_millis_testing 8.016109466552734 wall_clock_time_millis_testing 7.498025894165039 wall_clock_time_millis_testing 7.890224456787109 wall_clock_time_millis_testing 8.229255676269531 wall_clock_time_millis_testing 5.532979965209961 wall_clock_time_millis_testing 7.451534271240234 wall_clock_time_millis_training 4095.825672149658 wall_clock_time_millis_training 4646.6405391693115 wall_clock_time_millis_training 3339.2369747161865 wall_clock_time_millis_training 3605.0209999084473 wall_clock_time_millis_training 4481.721878051758 wall_clock_time_millis_training 3747.278928756714 wall_clock_time_millis_training 5354.949712753296 wall_clock_time_millis_training 5185.676574707031 wall_clock_time_millis_training 5104.451894760132 wall_clock_time_millis_training 3640.9521102905273 weighted_recall 0.9945054945054945 [0.986425,1,1,1] weighted_recall 0.989010989010989 [1,1,0.818182,1] weighted_recall 1 [1,1,1,1] weighted_recall 0.9963369963369964 [1,0.990476,1,1] 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 0.998165137614679 [1,0.995215,1,1] weighted_recall 0.9963302752293578 [1,0.995215,0.969697,1]