10584523 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) 8300805 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 0.46728376637976504 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 191 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 121 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 8 19040 random_state 62869 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.27889617269296274 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 22095314 description https://api.openml.org/data/download/22095314/description.xml -1 22095315 predictions https://api.openml.org/data/download/22095315/predictions.arff area_under_roc_curve 0.9996827783347297 [0.999468,0.99999,0.998364,1] average_cost 0 f_measure 0.9970640820015948 [0.996601,0.997855,0.98773,1] kappa 0.9955712582697731 kb_relative_information_score 0.9951532313832281 mean_absolute_error 0.0016215967057138087 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.9970674486803519 [0.997279,0.998093,0.981707,1] number_of_instances 5456 [2205,2097,328,826] precision 0.9970656011959239 [0.995924,0.997617,0.993827,1] predictive_accuracy 0.9970674486803519 prior_entropy 1.7146330399083418 relative_absolute_error 0.004895561408887617 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.033875124657648616 root_relative_squared_error 0.08324281204981004 total_cost 0 unweighted_recall 0.9942696854379423 [0.997279,0.998093,0.981707,1] area_under_roc_curve 1 [1,1,1,1] area_under_roc_curve 0.9996943267658518 [0.999624,1,0.99746,1] 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 0.9963373514321382 [0.995455,0.995261,1,1] f_measure 0.9885351255886968 [0.986607,1,0.9,1] f_measure 0.9981685873558463 [0.997722,0.997625,1,1] f_measure 0.9963865924819038 [0.997722,0.997613,0.970588,1] 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 0.9981652468450907 [0.997732,0.997613,1,1] f_measure 0.9981650084906499 [0.997743,0.997602,1,1] kappa 0.9944676366878774 kappa 0.9833056453010183 kappa 0.9972375131546992 kappa 0.9944849041928869 kappa 1 kappa 0.9972375131546992 kappa 0.9972279020559304 kappa 0.9972275636134258 kappa 0.9972293113440637 kappa 0.9972289732456097 kb_relative_information_score 0.9950776487529852 kb_relative_information_score 0.9765616264560631 kb_relative_information_score 0.9967919067400404 kb_relative_information_score 0.9963181309793013 kb_relative_information_score 0.9997501631337973 kb_relative_information_score 0.9965954078470739 kb_relative_information_score 0.9973752716850496 kb_relative_information_score 0.997497408347122 kb_relative_information_score 0.9983464189996377 kb_relative_information_score 0.9972257705191306 mean_absolute_error 0.0020932950499936752 mean_absolute_error 0.005138222739213212 mean_absolute_error 0.0014534089760510243 mean_absolute_error 0.001529098262354379 mean_absolute_error 0.00014799531258955203 mean_absolute_error 0.0016056504730879565 mean_absolute_error 0.0011472630761621666 mean_absolute_error 0.001080613952135944 mean_absolute_error 0.0007797312582184771 mean_absolute_error 0.0012365813691133795 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 0.9893014474512273 [0.973568,1,1,1] precision 0.998177178271965 [1,0.995261,1,1] precision 0.9965463108320249 [1,1,0.942857,1] 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 0.9981738750546091 [1,0.995238,1,1] precision 0.9981734027605588 [0.995495,1,1,1] predictive_accuracy 0.9963369963369964 predictive_accuracy 0.989010989010989 predictive_accuracy 0.9981684981684981 predictive_accuracy 0.9963369963369964 predictive_accuracy 1 predictive_accuracy 0.9981684981684981 predictive_accuracy 0.9981651376146788 predictive_accuracy 0.9981651376146788 predictive_accuracy 0.9981651376146788 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 0.006321415319357134 relative_absolute_error 0.015516608582258729 relative_absolute_error 0.004385998620323981 relative_absolute_error 0.004614408593545562 relative_absolute_error 0.0004466101747877216 relative_absolute_error 0.004845422641341311 relative_absolute_error 0.0034647894362118143 relative_absolute_error 0.0032636847551344803 relative_absolute_error 0.0023543598014234488 relative_absolute_error 0.003733796017465756 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 0.04320081734191046 root_mean_squared_error 0.06972275884106865 root_mean_squared_error 0.026833271421219378 root_mean_squared_error 0.028537713024606302 root_mean_squared_error 0.001090670922522157 root_mean_squared_error 0.023717035045196053 root_mean_squared_error 0.02659673749312214 root_mean_squared_error 0.028010237290124387 root_mean_squared_error 0.01629540872736034 root_mean_squared_error 0.029807605411652578 root_relative_squared_error 0.10618961910406907 root_relative_squared_error 0.17138178534032633 root_relative_squared_error 0.06591139256271741 root_relative_squared_error 0.07009806506557983 root_relative_squared_error 0.0026790486408694576 root_relative_squared_error 0.058256884997312276 root_relative_squared_error 0.06538052911985645 root_relative_squared_error 0.0688589927327393 root_relative_squared_error 0.04004970770185241 root_relative_squared_error 0.07325903289706676 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 0.997737556561086 [0.99095,1,1,1] unweighted_recall 0.9545454545454546 [1,1,0.818182,1] unweighted_recall 0.9988636363636364 [0.995455,1,1,1] unweighted_recall 0.9976731601731602 [0.995455,0.995238,1,1] 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 0.998868778280543 [0.995475,1,1,1] unweighted_recall 0.9988038277511961 [1,0.995215,1,1] usercpu_time_millis 5817.179612000473 usercpu_time_millis 5444.121914000789 usercpu_time_millis 2862.2241639986896 usercpu_time_millis 3092.862471999979 usercpu_time_millis 3448.130337999828 usercpu_time_millis 3080.4649889996654 usercpu_time_millis 3208.552991000033 usercpu_time_millis 3087.537166000402 usercpu_time_millis 3077.879631999167 usercpu_time_millis 2963.648378000471 usercpu_time_millis_testing 8.58385200081102 usercpu_time_millis_testing 8.193401000426093 usercpu_time_millis_testing 7.171427999310254 usercpu_time_millis_testing 8.08972899994842 usercpu_time_millis_testing 7.472221999705653 usercpu_time_millis_testing 7.416399999783607 usercpu_time_millis_testing 7.659482999770262 usercpu_time_millis_testing 7.767228000375326 usercpu_time_millis_testing 5.3361020000011194 usercpu_time_millis_testing 7.916831000329694 usercpu_time_millis_training 5808.595759999662 usercpu_time_millis_training 5435.928513000363 usercpu_time_millis_training 2855.0527359993794 usercpu_time_millis_training 3084.7727430000305 usercpu_time_millis_training 3440.6581160001224 usercpu_time_millis_training 3073.0485889998818 usercpu_time_millis_training 3200.893508000263 usercpu_time_millis_training 3079.7699380000267 usercpu_time_millis_training 3072.543529999166 usercpu_time_millis_training 2955.7315470001413 wall_clock_time_millis 5928.520917892456 wall_clock_time_millis 5570.84321975708 wall_clock_time_millis 2929.541826248169 wall_clock_time_millis 3151.3264179229736 wall_clock_time_millis 3518.174886703491 wall_clock_time_millis 3117.682933807373 wall_clock_time_millis 3257.699966430664 wall_clock_time_millis 3139.00089263916 wall_clock_time_millis 3145.209550857544 wall_clock_time_millis 3016.4711475372314 wall_clock_time_millis_testing 8.589982986450195 wall_clock_time_millis_testing 8.199214935302734 wall_clock_time_millis_testing 7.176399230957031 wall_clock_time_millis_testing 8.095979690551758 wall_clock_time_millis_testing 7.483959197998047 wall_clock_time_millis_testing 7.431268692016602 wall_clock_time_millis_testing 7.677316665649414 wall_clock_time_millis_testing 13.672828674316406 wall_clock_time_millis_testing 5.342006683349609 wall_clock_time_millis_testing 8.021831512451172 wall_clock_time_millis_training 5919.930934906006 wall_clock_time_millis_training 5562.644004821777 wall_clock_time_millis_training 2922.365427017212 wall_clock_time_millis_training 3143.230438232422 wall_clock_time_millis_training 3510.690927505493 wall_clock_time_millis_training 3110.2516651153564 wall_clock_time_millis_training 3250.0226497650146 wall_clock_time_millis_training 3125.3280639648438 wall_clock_time_millis_training 3139.8675441741943 wall_clock_time_millis_training 3008.4493160247803 weighted_recall 0.9963369963369964 [0.99095,1,1,1] weighted_recall 0.989010989010989 [1,1,0.818182,1] weighted_recall 0.9981684981684982 [0.995455,1,1,1] weighted_recall 0.9963369963369964 [0.995455,0.995238,1,1] 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 0.998165137614679 [0.995475,1,1,1] weighted_recall 0.998165137614679 [1,0.995215,1,1]