10584388 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) 8300670 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 0.7965350256700504 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 81 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 186 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 17 19040 random_state 44986 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.37963465842034294 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 22095044 description https://api.openml.org/data/download/22095044/description.xml -1 22095045 predictions https://api.openml.org/data/download/22095045/predictions.arff area_under_roc_curve 0.9999562888199847 [0.999939,0.999988,0.999758,1] average_cost 0 f_measure 0.9968798707502834 [0.996375,0.998093,0.984663,1] kappa 0.9952944361293469 kb_relative_information_score 0.994917337092993 mean_absolute_error 0.001571852802937705 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.9968841642228738 [0.997279,0.998093,0.978659,1] number_of_instances 5456 [2205,2097,328,826] precision 0.9968806947771301 [0.995473,0.998093,0.990741,1] predictive_accuracy 0.9968841642228738 prior_entropy 1.7146330399083418 relative_absolute_error 0.004745385764166537 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.03662135987008125 root_relative_squared_error 0.08999125486569451 total_cost 0 unweighted_recall 0.993507490315991 [0.997279,0.998093,0.978659,1] area_under_roc_curve 0.9999612902360155 [0.999958,0.999943,1,1] area_under_roc_curve 0.9997852619714966 [0.999708,1,0.998405,1] area_under_roc_curve 0.9999552223752487 [0.999902,0.999986,1,1] area_under_roc_curve 1 [1,1,1,1] area_under_roc_curve 1 [1,1,1,1] area_under_roc_curve 0.9999943818962225 [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] 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 0.9963445144331096 [0.995455,0.997625,0.985075,1] f_measure 0.9905183995843035 [0.988814,1,0.918033,1] f_measure 0.9963250830416918 [0.995455,0.997625,0.984615,1] f_measure 0.9963865924819038 [0.997722,0.997613,0.970588,1] f_measure 0.9981685873558463 [0.997722,0.997625,1,1] f_measure 0.9963250830416918 [0.995455,0.997625,0.984615,1] 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 0.9944725932749885 kappa 0.9861013532089073 kappa 0.9944697940352779 kappa 0.9944849041928869 kappa 0.9972375131546992 kappa 0.9944697940352779 kappa 0.9972279020559304 kappa 0.9972275636134258 kappa 1 kappa 0.9972289732456097 kb_relative_information_score 0.9955923811483683 kb_relative_information_score 0.9777299737641583 kb_relative_information_score 0.9933333274776122 kb_relative_information_score 0.9956011673136276 kb_relative_information_score 0.9977834645785351 kb_relative_information_score 0.9967103287644911 kb_relative_information_score 0.9972018271354436 kb_relative_information_score 0.9977906100840588 kb_relative_information_score 0.9998321973402143 kb_relative_information_score 0.9976183967575981 mean_absolute_error 0.0018876815283451014 mean_absolute_error 0.004655926501912023 mean_absolute_error 0.00186392853334968 mean_absolute_error 0.0018273618961842132 mean_absolute_error 0.0009366090077723143 mean_absolute_error 0.0012942285035885133 mean_absolute_error 0.0012338791615151374 mean_absolute_error 0.0009061599319160416 mean_absolute_error 0.00009821720966710938 mean_absolute_error 0.0010089676465883527 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 0.9963995441413896 [1,0.995261,0.970588,1] precision 0.9910450906026128 [0.977876,1,1,1] precision 0.9963456764404631 [0.995455,0.995261,1,1] precision 0.9965463108320249 [1,1,0.942857,1] precision 0.998177178271965 [1,0.995261,1,1] precision 0.9963456764404631 [0.995455,0.995261,1,1] precision 0.9981734401594088 [0.995475,1,1,1] precision 0.9981734027605588 [0.995495,1,1,1] precision 1 [1,1,1,1] precision 0.9981734027605588 [0.995495,1,1,1] predictive_accuracy 0.9963369963369964 predictive_accuracy 0.9908424908424908 predictive_accuracy 0.9963369963369964 predictive_accuracy 0.9963369963369964 predictive_accuracy 0.9981684981684981 predictive_accuracy 0.9963369963369964 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 0.005700495461155496 relative_absolute_error 0.014060151298344904 relative_absolute_error 0.005624836581005947 relative_absolute_error 0.005514488273818944 relative_absolute_error 0.0028264348738466618 relative_absolute_error 0.0039056346318614636 relative_absolute_error 0.0037263741623069944 relative_absolute_error 0.0027367963828918186 relative_absolute_error 0.0002965619856981915 relative_absolute_error 0.0030465276889012982 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 0.036655406729452694 root_mean_squared_error 0.06676487088670897 root_mean_squared_error 0.042492665941502215 root_mean_squared_error 0.040332277233552705 root_mean_squared_error 0.026599675605368845 root_mean_squared_error 0.026890319910450898 root_mean_squared_error 0.03073760934830903 root_mean_squared_error 0.029660271557731963 root_mean_squared_error 0.0016971759302931528 root_mean_squared_error 0.03024742307472094 root_relative_squared_error 0.09010069526923395 root_relative_squared_error 0.1641111591218438 root_relative_squared_error 0.10437604651112238 root_relative_squared_error 0.09906941706656205 root_relative_squared_error 0.06533760395238207 root_relative_squared_error 0.06605152252711212 root_relative_squared_error 0.07555968710792366 root_relative_squared_error 0.07291535599968027 root_relative_squared_error 0.004171199450354061 root_relative_squared_error 0.07433998576806927 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 0.9976731601731602 [0.995455,0.995238,1,1] unweighted_recall 0.9988636363636364 [0.995455,1,1,1] unweighted_recall 0.9912878787878788 [0.995455,1,0.969697,1] 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 2809.6837210005106 usercpu_time_millis 2795.922313000119 usercpu_time_millis 2701.797469999292 usercpu_time_millis 2585.060286000953 usercpu_time_millis 2886.816399998679 usercpu_time_millis 2795.3684290005185 usercpu_time_millis 2613.2632520002517 usercpu_time_millis 3748.2219409994286 usercpu_time_millis 2801.96318399976 usercpu_time_millis 2338.2858819995818 usercpu_time_millis_testing 7.297754000319401 usercpu_time_millis_testing 7.956552999530686 usercpu_time_millis_testing 7.5236459997540805 usercpu_time_millis_testing 7.426959000440547 usercpu_time_millis_testing 7.773632999487745 usercpu_time_millis_testing 7.71430200074974 usercpu_time_millis_testing 7.4871879996862845 usercpu_time_millis_testing 8.93430999985867 usercpu_time_millis_testing 7.906976999947801 usercpu_time_millis_testing 5.080214999907184 usercpu_time_millis_training 2802.385967000191 usercpu_time_millis_training 2787.9657600005885 usercpu_time_millis_training 2694.273823999538 usercpu_time_millis_training 2577.6333270005125 usercpu_time_millis_training 2879.0427669991914 usercpu_time_millis_training 2787.654126999769 usercpu_time_millis_training 2605.7760640005654 usercpu_time_millis_training 3739.28763099957 usercpu_time_millis_training 2794.0562069998123 usercpu_time_millis_training 2333.2056669996746 wall_clock_time_millis 2852.8549671173096 wall_clock_time_millis 2849.1268157958984 wall_clock_time_millis 2760.8370780944824 wall_clock_time_millis 2675.067901611328 wall_clock_time_millis 2957.395315170288 wall_clock_time_millis 2830.6057453155518 wall_clock_time_millis 2651.7868041992188 wall_clock_time_millis 3806.1745166778564 wall_clock_time_millis 2887.101888656616 wall_clock_time_millis 2370.0757026672363 wall_clock_time_millis_testing 7.325887680053711 wall_clock_time_millis_testing 8.063793182373047 wall_clock_time_millis_testing 7.529497146606445 wall_clock_time_millis_testing 7.433176040649414 wall_clock_time_millis_testing 7.779121398925781 wall_clock_time_millis_testing 7.720470428466797 wall_clock_time_millis_testing 7.493019104003906 wall_clock_time_millis_testing 8.94021987915039 wall_clock_time_millis_testing 7.913112640380859 wall_clock_time_millis_testing 5.084753036499023 wall_clock_time_millis_training 2845.529079437256 wall_clock_time_millis_training 2841.0630226135254 wall_clock_time_millis_training 2753.307580947876 wall_clock_time_millis_training 2667.6347255706787 wall_clock_time_millis_training 2949.6161937713623 wall_clock_time_millis_training 2822.885274887085 wall_clock_time_millis_training 2644.293785095215 wall_clock_time_millis_training 3797.234296798706 wall_clock_time_millis_training 2879.1887760162354 wall_clock_time_millis_training 2364.9909496307373 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 0.9963369963369964 [0.995455,0.995238,1,1] weighted_recall 0.9981684981684982 [0.995455,1,1,1] weighted_recall 0.9963369963369964 [0.995455,1,0.969697,1] 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]