10584488 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) 8300770 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 0.3708504901786388 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1927 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 165 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 3 19040 random_state 8484 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.1279125246885829 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 22095244 description https://api.openml.org/data/download/22095244/description.xml -1 22095245 predictions https://api.openml.org/data/download/22095245/predictions.arff area_under_roc_curve 0.9999722953029335 [0.999969,0.999997,0.999766,1] average_cost 0 f_measure 0.9977968011446375 [0.997508,0.998569,0.989247,1] kappa 0.9966781091747903 kb_relative_information_score 0.9959338436642082 mean_absolute_error 0.001421523409176379 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.9978005865102639 [0.998639,0.998569,0.981707,1] number_of_instances 5456 [2205,2097,328,826] precision 0.997801066655306 [0.99638,0.998569,0.996904,1] predictive_accuracy 0.9978005865102639 prior_entropy 1.7146330399083418 relative_absolute_error 0.004291544944111675 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.030068142814435886 root_relative_squared_error 0.07388775056282468 total_cost 0 unweighted_recall 0.9947290394227408 [0.998639,0.998569,0.981707,1] area_under_roc_curve 1 [1,1,1,1] area_under_roc_curve 0.9996242523907841 [0.999513,1,0.997046,1] area_under_roc_curve 0.9999943818962225 [0.999986,1,1,1] area_under_roc_curve 0.9999964298209912 [1,1,0.999941,1] 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 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 0.9981685873558463 [0.997722,0.997625,1,1] 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 0.9972375131546992 kappa 0.9972398453100119 kappa 1 kappa 0.9972375131546992 kappa 0.9972279020559304 kappa 0.9972275636134258 kappa 1 kappa 1 kb_relative_information_score 0.9962664676276088 kb_relative_information_score 0.9791143675848406 kb_relative_information_score 0.9975186715301229 kb_relative_information_score 0.9970614664644039 kb_relative_information_score 0.9996073075422074 kb_relative_information_score 0.9974633303536201 kb_relative_information_score 0.9972230458797047 kb_relative_information_score 0.9977549514028639 kb_relative_information_score 0.9987800894948471 kb_relative_information_score 0.9985537328456964 mean_absolute_error 0.001654095871790277 mean_absolute_error 0.005188708413325792 mean_absolute_error 0.0010856236617610882 mean_absolute_error 0.0013298563317656756 mean_absolute_error 0.0002326650633925717 mean_absolute_error 0.001136246434156352 mean_absolute_error 0.0012313800190882176 mean_absolute_error 0.0009293434615292126 mean_absolute_error 0.0006859890735406915 mean_absolute_error 0.000737476118622833 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 0.998177178271965 [1,0.995261,1,1] precision 0.9982223658694247 [1,1,0.970588,1] precision 1 [1,1,1,1] precision 0.998177178271965 [1,0.995261,1,1] precision 0.9981734401594088 [0.995475,1,1,1] precision 0.9981734027605588 [0.995495,1,1,1] precision 1 [1,1,1,1] precision 1 [1,1,1,1] predictive_accuracy 0.9981684981684981 predictive_accuracy 0.989010989010989 predictive_accuracy 0.9981684981684981 predictive_accuracy 0.9981684981684981 predictive_accuracy 1 predictive_accuracy 0.9981684981684981 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 0.004995104241827756 relative_absolute_error 0.015669067220970122 relative_absolute_error 0.003276121147684476 relative_absolute_error 0.0040131498652232036 relative_absolute_error 0.0007021207821421805 relative_absolute_error 0.003428887102444072 relative_absolute_error 0.003718826632485546 relative_absolute_error 0.0028068155900463788 relative_absolute_error 0.0020713099313858525 relative_absolute_error 0.0022267725064177048 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 0.030624747335828803 root_mean_squared_error 0.0657581153537382 root_mean_squared_error 0.026998387613346244 root_mean_squared_error 0.025841797893428445 root_mean_squared_error 0.0013453790353395027 root_mean_squared_error 0.02231674812342083 root_mean_squared_error 0.028893386464377738 root_mean_squared_error 0.028152223515120086 root_mean_squared_error 0.008149101594797514 root_mean_squared_error 0.013616295707837926 root_relative_squared_error 0.07527705388099495 root_relative_squared_error 0.16163650717878053 root_relative_squared_error 0.06631697256028449 root_relative_squared_error 0.06347600554337347 root_relative_squared_error 0.003304696037688063 root_relative_squared_error 0.054817317023927545 root_relative_squared_error 0.07102618866671236 root_relative_squared_error 0.06920804470019888 root_relative_squared_error 0.02002828786714377 root_relative_squared_error 0.033465172442424106 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 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 0.9988636363636364 [0.995455,1,1,1] 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 4713.485371999013 usercpu_time_millis 4571.665517999463 usercpu_time_millis 4991.626585999256 usercpu_time_millis 4824.181955000313 usercpu_time_millis 4872.060980000242 usercpu_time_millis 5297.031643000082 usercpu_time_millis 5138.804821999656 usercpu_time_millis 5422.325407999779 usercpu_time_millis 4130.24813300035 usercpu_time_millis 4550.465773000724 usercpu_time_millis_testing 7.986325999809196 usercpu_time_millis_testing 8.280881999780831 usercpu_time_millis_testing 8.014817999537627 usercpu_time_millis_testing 8.493368000017654 usercpu_time_millis_testing 8.062851000431692 usercpu_time_millis_testing 7.888324999839824 usercpu_time_millis_testing 7.929821999823616 usercpu_time_millis_testing 7.8267429998959415 usercpu_time_millis_testing 7.982910999999149 usercpu_time_millis_testing 5.464412000037555 usercpu_time_millis_training 4705.499045999204 usercpu_time_millis_training 4563.384635999682 usercpu_time_millis_training 4983.611767999719 usercpu_time_millis_training 4815.688587000295 usercpu_time_millis_training 4863.99812899981 usercpu_time_millis_training 5289.143318000242 usercpu_time_millis_training 5130.874999999833 usercpu_time_millis_training 5414.498664999883 usercpu_time_millis_training 4122.265222000351 usercpu_time_millis_training 4545.001361000686 wall_clock_time_millis 4803.715467453003 wall_clock_time_millis 4642.369031906128 wall_clock_time_millis 5075.421333312988 wall_clock_time_millis 4920.185804367065 wall_clock_time_millis 4953.086376190186 wall_clock_time_millis 5382.775545120239 wall_clock_time_millis 5235.812187194824 wall_clock_time_millis 5519.992113113403 wall_clock_time_millis 4185.178756713867 wall_clock_time_millis 4609.553575515747 wall_clock_time_millis_testing 7.993459701538086 wall_clock_time_millis_testing 8.378267288208008 wall_clock_time_millis_testing 8.020401000976562 wall_clock_time_millis_testing 8.498430252075195 wall_clock_time_millis_testing 8.068561553955078 wall_clock_time_millis_testing 7.8945159912109375 wall_clock_time_millis_testing 7.935523986816406 wall_clock_time_millis_testing 7.832765579223633 wall_clock_time_millis_testing 8.014202117919922 wall_clock_time_millis_testing 5.468845367431641 wall_clock_time_millis_training 4795.722007751465 wall_clock_time_millis_training 4633.99076461792 wall_clock_time_millis_training 5067.400932312012 wall_clock_time_millis_training 4911.68737411499 wall_clock_time_millis_training 4945.0178146362305 wall_clock_time_millis_training 5374.881029129028 wall_clock_time_millis_training 5227.876663208008 wall_clock_time_millis_training 5512.15934753418 wall_clock_time_millis_training 4177.164554595947 wall_clock_time_millis_training 4604.084730148315 weighted_recall 0.9981684981684982 [0.995475,1,1,1] weighted_recall 0.989010989010989 [1,1,0.818182,1] 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 0.9981684981684982 [0.995455,1,1,1] 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]