10584482 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) 8300764 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 0.6411261347880468 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 737 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 117 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 15 19040 random_state 58102 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.3954605862496672 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 22095232 description https://api.openml.org/data/download/22095232/description.xml -1 22095233 predictions https://api.openml.org/data/download/22095233/predictions.arff area_under_roc_curve 0.9997203468546615 [0.999459,0.999992,0.999032,1] average_cost 0 f_measure 0.9974318803391278 [0.997054,0.998093,0.98928,1] kappa 0.9961251987329587 kb_relative_information_score 0.9956724047905555 mean_absolute_error 0.0013479827444814805 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.9974340175953079 [0.997732,0.998093,0.984756,1] number_of_instances 5456 [2205,2097,328,826] precision 0.9974326261046108 [0.996377,0.998093,0.993846,1] predictive_accuracy 0.997434017595308 prior_entropy 1.7146330399083418 relative_absolute_error 0.004069527448148761 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.033732408630256026 root_relative_squared_error 0.08289210977004574 total_cost 0 unweighted_recall 0.9951452592447007 [0.997732,0.998093,0.984756,1] area_under_roc_curve 1 [1,1,1,1] area_under_roc_curve 0.9999032536414454 [0.999805,1,0.999705,1] area_under_roc_curve 0.9999889309979144 [0.999986,0.999986,1,1] area_under_roc_curve 0.999987241538205 [0.999986,1,0.999882,1] 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 0.9999888759445335 [0.999986,0.999986,1,1] 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 0.9905183995843035 [0.988814,1,0.918033,1] 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 0.9972336641789911 kappa 0.9861013532089073 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 0.9968860513927673 kb_relative_information_score 0.9778329677158425 kb_relative_information_score 0.9977928073341965 kb_relative_information_score 0.9955964332482264 kb_relative_information_score 0.9998331006358305 kb_relative_information_score 0.9982901138968217 kb_relative_information_score 0.9975064004300163 kb_relative_information_score 0.997676627528413 kb_relative_information_score 0.9979377085241005 kb_relative_information_score 0.9973753154271923 mean_absolute_error 0.0013262563877799542 mean_absolute_error 0.004597349749708716 mean_absolute_error 0.0009248189466911246 mean_absolute_error 0.0018014624969426446 mean_absolute_error 0.00009702407685608771 mean_absolute_error 0.0006733950304524991 mean_absolute_error 0.0010646157965887519 mean_absolute_error 0.0009732784555172107 mean_absolute_error 0.0008816775337698938 mean_absolute_error 0.0011375041811105787 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 0.9910450906026128 [0.977876,1,1,1] 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 0.9981684981684981 predictive_accuracy 0.9908424908424908 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 0.00400508158041686 relative_absolute_error 0.013883258901481265 relative_absolute_error 0.0027908556305037903 relative_absolute_error 0.005436330830723071 relative_absolute_error 0.00029279265109896294 relative_absolute_error 0.002032125659855563 relative_absolute_error 0.0032151906936500555 relative_absolute_error 0.0029395086482954685 relative_absolute_error 0.0026621815163197903 relative_absolute_error 0.0034346373699019454 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 0.033113689938469505 root_mean_squared_error 0.06694966379066133 root_mean_squared_error 0.030200019380479337 root_mean_squared_error 0.03524800223377027 root_mean_squared_error 0.0020805345904207078 root_mean_squared_error 0.021791193268945193 root_mean_squared_error 0.029811251420159442 root_mean_squared_error 0.02989827540665208 root_mean_squared_error 0.02137579831997129 root_mean_squared_error 0.03040145530275271 root_relative_squared_error 0.08139499060553698 root_relative_squared_error 0.16456538867793136 root_relative_squared_error 0.07418123945984341 root_relative_squared_error 0.08658075550357168 root_relative_squared_error 0.005110481311685705 root_relative_squared_error 0.053526380418292774 root_relative_squared_error 0.0732824991064834 root_relative_squared_error 0.07350045298166592 root_relative_squared_error 0.05253593137379839 root_relative_squared_error 0.07471855532790976 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 0.9621212121212122 [1,1,0.848485,1] 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 6417.315974999838 usercpu_time_millis 6233.338285001082 usercpu_time_millis 4390.174222000496 usercpu_time_millis 5381.730486999913 usercpu_time_millis 3256.7237130006106 usercpu_time_millis 4088.2716100004473 usercpu_time_millis 3361.637639000037 usercpu_time_millis 2778.8856350007336 usercpu_time_millis 2778.392952000104 usercpu_time_millis 2527.9909880009654 usercpu_time_millis_testing 8.83292300022731 usercpu_time_millis_testing 9.60366600065754 usercpu_time_millis_testing 8.431525000560214 usercpu_time_millis_testing 8.869876000062504 usercpu_time_millis_testing 8.080495000285737 usercpu_time_millis_testing 8.038794000640337 usercpu_time_millis_testing 8.5133840002527 usercpu_time_millis_testing 7.488750000447908 usercpu_time_millis_testing 7.725229999778094 usercpu_time_millis_testing 5.760628000643919 usercpu_time_millis_training 6408.48305199961 usercpu_time_millis_training 6223.734619000425 usercpu_time_millis_training 4381.742696999936 usercpu_time_millis_training 5372.860610999851 usercpu_time_millis_training 3248.643218000325 usercpu_time_millis_training 4080.232815999807 usercpu_time_millis_training 3353.124254999784 usercpu_time_millis_training 2771.3968850002857 usercpu_time_millis_training 2770.6677220003257 usercpu_time_millis_training 2522.2303600003215 wall_clock_time_millis 6519.358396530151 wall_clock_time_millis 6345.300912857056 wall_clock_time_millis 4477.777719497681 wall_clock_time_millis 5496.313095092773 wall_clock_time_millis 3330.2197456359863 wall_clock_time_millis 4156.10933303833 wall_clock_time_millis 3412.6462936401367 wall_clock_time_millis 2831.8138122558594 wall_clock_time_millis 2842.8521156311035 wall_clock_time_millis 2549.5989322662354 wall_clock_time_millis_testing 8.841276168823242 wall_clock_time_millis_testing 9.610652923583984 wall_clock_time_millis_testing 8.437395095825195 wall_clock_time_millis_testing 8.875370025634766 wall_clock_time_millis_testing 8.087396621704102 wall_clock_time_millis_testing 8.045434951782227 wall_clock_time_millis_testing 8.54349136352539 wall_clock_time_millis_testing 7.496118545532227 wall_clock_time_millis_testing 7.73167610168457 wall_clock_time_millis_testing 5.765438079833984 wall_clock_time_millis_training 6510.517120361328 wall_clock_time_millis_training 6335.690259933472 wall_clock_time_millis_training 4469.3403244018555 wall_clock_time_millis_training 5487.437725067139 wall_clock_time_millis_training 3322.132349014282 wall_clock_time_millis_training 4148.063898086548 wall_clock_time_millis_training 3404.1028022766113 wall_clock_time_millis_training 2824.317693710327 wall_clock_time_millis_training 2835.120439529419 wall_clock_time_millis_training 2543.8334941864014 weighted_recall 0.9981684981684982 [0.995475,1,1,1] weighted_recall 0.9908424908424909 [1,1,0.848485,1] 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]