10584452 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) 8300734 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 0.5434933120858644 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 254 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 124 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 5 19040 random_state 507 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.09906852253453499 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 22095172 description https://api.openml.org/data/download/22095172/description.xml -1 22095173 predictions https://api.openml.org/data/download/22095173/predictions.arff area_under_roc_curve 0.9997230432864017 [0.999459,0.999997,0.999052,1] average_cost 0 f_measure 0.9976137162259789 [0.997283,0.998331,0.989247,1] kappa 0.996401265219518 kb_relative_information_score 0.9953980146068855 mean_absolute_error 0.0014134997992672684 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.9976173020527859 [0.998639,0.998093,0.981707,1] number_of_instances 5456 [2205,2097,328,826] precision 0.9976186789156863 [0.995929,0.998569,0.996904,1] predictive_accuracy 0.997617302052786 prior_entropy 1.7146330399083418 relative_absolute_error 0.004267321858992789 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.032328495199254924 root_relative_squared_error 0.07944221244709547 total_cost 0 unweighted_recall 0.994609821492364 [0.998639,0.998093,0.981707,1] area_under_roc_curve 1 [1,1,1,1] area_under_roc_curve 0.9998408798678704 [0.999722,1,0.999232,1] area_under_roc_curve 0.9999351563499663 [0.999875,1,0.999764,1] 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 0.9999943542695836 [0.999986,1,1,1] 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 0.9905183995843035 [0.988814,1,0.918033,1] f_measure 0.9963250830416918 [0.995455,0.997625,0.984615,1] 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 0.9944676366878774 kappa 0.9861013532089073 kappa 0.9944697940352779 kappa 0.9972398453100119 kappa 1 kappa 1 kappa 0.9972279020559304 kappa 0.9972275636134258 kappa 1 kappa 0.9972289732456097 kb_relative_information_score 0.9960090589466111 kb_relative_information_score 0.9773202890815582 kb_relative_information_score 0.993286080838127 kb_relative_information_score 0.997566101447064 kb_relative_information_score 0.9996813534783725 kb_relative_information_score 0.9976883391975296 kb_relative_information_score 0.9970089762586499 kb_relative_information_score 0.9978661897471574 kb_relative_information_score 0.9993183836933645 kb_relative_information_score 0.9982470144881421 mean_absolute_error 0.0016131674870922008 mean_absolute_error 0.004859017120055887 mean_absolute_error 0.0019309805124382072 mean_absolute_error 0.0010401184572319305 mean_absolute_error 0.00018721414408078428 mean_absolute_error 0.0011570558084688437 mean_absolute_error 0.0013605851685533881 mean_absolute_error 0.0008894953609723523 mean_absolute_error 0.00036629861565894823 mean_absolute_error 0.0007268331075994572 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 0.9910450906026128 [0.977876,1,1,1] precision 0.9963456764404631 [0.995455,0.995261,1,1] 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 0.9963369963369964 predictive_accuracy 0.9908424908424908 predictive_accuracy 0.9963369963369964 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 0.004871507084309162 relative_absolute_error 0.01467345239259639 relative_absolute_error 0.005827181476777354 relative_absolute_error 0.0031387986406880425 relative_absolute_error 0.0005649620933775133 relative_absolute_error 0.0034916842149762778 relative_absolute_error 0.0041090323719299255 relative_absolute_error 0.002686465822165416 relative_absolute_error 0.0011060204742783897 relative_absolute_error 0.0021946364633189663 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 0.037332002287706334 root_mean_squared_error 0.0680921715533235 root_mean_squared_error 0.037337759930809275 root_mean_squared_error 0.028966788448897295 root_mean_squared_error 0.0020381847751819045 root_mean_squared_error 0.017910869411727256 root_mean_squared_error 0.029988416316585463 root_mean_squared_error 0.023309894378527672 root_mean_squared_error 0.00799917092992416 root_mean_squared_error 0.018763308920278558 root_relative_squared_error 0.09176379863252976 root_relative_squared_error 0.1673737259179502 root_relative_squared_error 0.09171389181663324 root_relative_squared_error 0.07115201626987071 root_relative_squared_error 0.005006456153763442 root_relative_squared_error 0.0439950211960505 root_relative_squared_error 0.07371800871260682 root_relative_squared_error 0.05730390039137114 root_relative_squared_error 0.019659798840314987 root_relative_squared_error 0.0461151389541393 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 0.9621212121212122 [1,1,0.848485,1] unweighted_recall 0.9912878787878788 [0.995455,1,0.969697,1] 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 6123.816954000176 usercpu_time_millis 5969.7983809992365 usercpu_time_millis 3391.995507999127 usercpu_time_millis 4296.100420000585 usercpu_time_millis 3693.38121400051 usercpu_time_millis 3395.4501169992 usercpu_time_millis 3076.11505100067 usercpu_time_millis 3372.721834000913 usercpu_time_millis 3986.765057999037 usercpu_time_millis 3340.659247000076 usercpu_time_millis_testing 8.13999500041973 usercpu_time_millis_testing 8.349189999535156 usercpu_time_millis_testing 7.19155899969337 usercpu_time_millis_testing 7.5495669998417725 usercpu_time_millis_testing 8.002423000107228 usercpu_time_millis_testing 7.834084999558399 usercpu_time_millis_testing 7.895006000580906 usercpu_time_millis_testing 7.342836000134412 usercpu_time_millis_testing 7.929462999527459 usercpu_time_millis_testing 4.851624999901105 usercpu_time_millis_training 6115.676958999757 usercpu_time_millis_training 5961.449190999701 usercpu_time_millis_training 3384.8039489994335 usercpu_time_millis_training 4288.550853000743 usercpu_time_millis_training 3685.378791000403 usercpu_time_millis_training 3387.6160319996416 usercpu_time_millis_training 3068.220045000089 usercpu_time_millis_training 3365.3789980007787 usercpu_time_millis_training 3978.8355949995093 usercpu_time_millis_training 3335.807622000175 wall_clock_time_millis 6255.501747131348 wall_clock_time_millis 6071.181058883667 wall_clock_time_millis 3434.16428565979 wall_clock_time_millis 4393.185615539551 wall_clock_time_millis 3740.750789642334 wall_clock_time_millis 3484.503984451294 wall_clock_time_millis 3164.7791862487793 wall_clock_time_millis 3434.046745300293 wall_clock_time_millis 4072.4546909332275 wall_clock_time_millis 3370.1534271240234 wall_clock_time_millis_testing 8.15439224243164 wall_clock_time_millis_testing 8.354425430297852 wall_clock_time_millis_testing 7.198095321655273 wall_clock_time_millis_testing 7.556676864624023 wall_clock_time_millis_testing 8.009195327758789 wall_clock_time_millis_testing 7.840871810913086 wall_clock_time_millis_testing 12.27426528930664 wall_clock_time_millis_testing 7.348537445068359 wall_clock_time_millis_testing 7.935523986816406 wall_clock_time_millis_testing 4.855155944824219 wall_clock_time_millis_training 6247.347354888916 wall_clock_time_millis_training 6062.826633453369 wall_clock_time_millis_training 3426.9661903381348 wall_clock_time_millis_training 4385.628938674927 wall_clock_time_millis_training 3732.741594314575 wall_clock_time_millis_training 3476.663112640381 wall_clock_time_millis_training 3152.5049209594727 wall_clock_time_millis_training 3426.6982078552246 wall_clock_time_millis_training 4064.519166946411 wall_clock_time_millis_training 3365.298271179199 weighted_recall 0.9963369963369964 [0.99095,1,1,1] weighted_recall 0.9908424908424909 [1,1,0.848485,1] weighted_recall 0.9963369963369964 [0.995455,1,0.969697,1] 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]