10583977 28997 Marc Boel 9952 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) 8300259 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 0.8495427353661619 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1601 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 105 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 18 19040 random_state 45158 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.2791193056502523 19040 verbose 0 19040 warm_start false 19040 openml-python Sklearn_1.0.1. 1489 phoneme https://www.openml.org/data/download/1592281/php8Mz7BG -1 22094222 description https://api.openml.org/data/download/22094222/description.xml -1 22094223 predictions https://api.openml.org/data/download/22094223/predictions.arff area_under_roc_curve 0.927021948201821 [0.927022,0.927022] average_cost 0 f_measure 0.8630590927764886 [0.904632,0.76298] kappa 0.6676819309945997 kb_relative_information_score 0.5649340028453466 mean_absolute_error 0.17953158956892393 mean_prior_absolute_error 0.4147357447231523 weighted_recall 0.8639896373056994 [0.913043,0.745902] number_of_instances 5404 [3818,1586] precision 0.8624719360569734 [0.896374,0.780858] predictive_accuracy 0.8639896373056994 prior_entropy 0.8731822780289229 relative_absolute_error 0.43288188166362723 root_mean_prior_squared_error 0.4553593089081206 root_mean_squared_error 0.3127596692037867 root_relative_squared_error 0.6868414965617697 total_cost 0 unweighted_recall 0.829472558802566 [0.913043,0.745902] area_under_roc_curve 0.9289242319470513 [0.928924,0.928924] area_under_roc_curve 0.9362507820474826 [0.936251,0.936251] area_under_roc_curve 0.9225443709045408 [0.922544,0.922544] area_under_roc_curve 0.924009680924627 [0.92401,0.92401] area_under_roc_curve 0.907797070713765 [0.907797,0.907797] area_under_roc_curve 0.9321525614686196 [0.932153,0.932153] area_under_roc_curve 0.9370402279806481 [0.93704,0.93704] area_under_roc_curve 0.9307773875008284 [0.930777,0.930777] area_under_roc_curve 0.9229766090559435 [0.922977,0.922977] area_under_roc_curve 0.9225226563660673 [0.922523,0.922523] 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 0.8641586772637363 [0.905318,0.765273] f_measure 0.8578007965611387 [0.899083,0.758621] f_measure 0.8618793668658261 [0.904393,0.75974] f_measure 0.8585456935327155 [0.898283,0.763077] f_measure 0.8398309408719696 [0.891165,0.715719] f_measure 0.8864962144353679 [0.920676,0.803859] f_measure 0.8683957533630736 [0.90719,0.774603] f_measure 0.8678890364739529 [0.907672,0.771704] f_measure 0.8587044753119326 [0.903723,0.750831] f_measure 0.8662402366286297 [0.908858,0.76412] kappa 0.6706583830213066 kappa 0.6577046647877138 kappa 0.6642738540496118 kappa 0.6614270503994732 kappa 0.607370149866557 kappa 0.7245635159542445 kappa 0.6817940375805058 kappa 0.6794099939795303 kappa 0.6549785319975466 kappa 0.6733796769576772 kb_relative_information_score 0.5654611999620045 kb_relative_information_score 0.5684210237229013 kb_relative_information_score 0.5631818282973264 kb_relative_information_score 0.5548574420800834 kb_relative_information_score 0.5155494336143999 kb_relative_information_score 0.5900584855713807 kb_relative_information_score 0.6006876309776544 kb_relative_information_score 0.5625939988570522 kb_relative_information_score 0.5488994758198374 kb_relative_information_score 0.5796623671238911 mean_absolute_error 0.17855707874594143 mean_absolute_error 0.17797636501859015 mean_absolute_error 0.18145419479498723 mean_absolute_error 0.18439759221509677 mean_absolute_error 0.19723841194324895 mean_absolute_error 0.1710865599468935 mean_absolute_error 0.16324513206721528 mean_absolute_error 0.17992222822973508 mean_absolute_error 0.18665020308055394 mean_absolute_error 0.174780242846059 mean_prior_absolute_error 0.4149066245966177 mean_prior_absolute_error 0.4149066245966177 mean_prior_absolute_error 0.4149066245966177 mean_prior_absolute_error 0.4149066245966177 mean_prior_absolute_error 0.41436675299050424 mean_prior_absolute_error 0.41436675299050424 mean_prior_absolute_error 0.41436675299050424 mean_prior_absolute_error 0.41436675299050424 mean_prior_absolute_error 0.415131335553089 mean_prior_absolute_error 0.415131335553089 number_of_instances 541 [382,159] number_of_instances 541 [382,159] number_of_instances 541 [382,159] number_of_instances 541 [382,159] number_of_instances 540 [382,158] number_of_instances 540 [382,158] number_of_instances 540 [382,158] number_of_instances 540 [382,158] number_of_instances 540 [381,159] number_of_instances 540 [381,159] precision 0.8635860582298849 [0.897172,0.782895] precision 0.8579371764643098 [0.900262,0.75625] precision 0.8612269455909745 [0.892857,0.785235] precision 0.8597370628540038 [0.906667,0.746988] precision 0.8390252621308986 [0.87218,0.758865] precision 0.8861320813137198 [0.914729,0.816993] precision 0.868279749706967 [0.906005,0.77707] precision 0.8674306012959304 [0.901809,0.784314] precision 0.8583203576568289 [0.884422,0.795775] precision 0.8660129678124582 [0.889447,0.809859] predictive_accuracy 0.8650646950092421 predictive_accuracy 0.8576709796672829 predictive_accuracy 0.8632162661737524 predictive_accuracy 0.8576709796672829 predictive_accuracy 0.8425925925925926 predictive_accuracy 0.8870370370370371 predictive_accuracy 0.8685185185185185 predictive_accuracy 0.8685185185185185 predictive_accuracy 0.8611111111111112 predictive_accuracy 0.8685185185185185 prior_entropy 0.8737066175945942 prior_entropy 0.8737066175945942 prior_entropy 0.8737066175945942 prior_entropy 0.8737066175945942 prior_entropy 0.8720500383981036 prior_entropy 0.8720500383981036 prior_entropy 0.8720500383981036 prior_entropy 0.8720500383981036 prior_entropy 0.8743961361606727 prior_entropy 0.8743961361606727 relative_absolute_error 0.4303548513344152 relative_absolute_error 0.4289552262310179 relative_absolute_error 0.4373374249480866 relative_absolute_error 0.44443154503588034 relative_absolute_error 0.475999607883041 relative_absolute_error 0.4128867934315526 relative_absolute_error 0.3939629106077346 relative_absolute_error 0.43421009753130035 relative_absolute_error 0.44961723458402764 relative_absolute_error 0.42102396971116446 root_mean_prior_squared_error 0.45554690217666205 root_mean_prior_squared_error 0.45554690217666205 root_mean_prior_squared_error 0.45554690217666205 root_mean_prior_squared_error 0.45554690217666205 root_mean_prior_squared_error 0.454953963029931 root_mean_prior_squared_error 0.454953963029931 root_mean_prior_squared_error 0.454953963029931 root_mean_prior_squared_error 0.454953963029931 root_mean_prior_squared_error 0.45579347410776366 root_mean_prior_squared_error 0.45579347410776366 root_mean_squared_error 0.3100999081942766 root_mean_squared_error 0.30442303134952237 root_mean_squared_error 0.31683653478173684 root_mean_squared_error 0.3186371009817136 root_mean_squared_error 0.3325159462666346 root_mean_squared_error 0.2985109969960404 root_mean_squared_error 0.3025026846882949 root_mean_squared_error 0.31218945475774024 root_mean_squared_error 0.32004279667103563 root_mean_squared_error 0.3104248040362336 root_relative_squared_error 0.6807200459767789 root_relative_squared_error 0.6682583722882315 root_relative_squared_error 0.6955080437773824 root_relative_squared_error 0.6994605812469019 root_relative_squared_error 0.7308782278807376 root_relative_squared_error 0.6561345130570971 root_relative_squared_error 0.6649083407773141 root_relative_squared_error 0.6862000996289851 root_relative_squared_error 0.7021662547879473 root_relative_squared_error 0.6810646085793663 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 0.8310201192005005 [0.913613,0.748428] unweighted_recall 0.8294560242352399 [0.897906,0.761006] unweighted_recall 0.8260397115479601 [0.91623,0.735849] unweighted_recall 0.8349632849287103 [0.890052,0.779874] unweighted_recall 0.7941049771356616 [0.910995,0.677215] unweighted_recall 0.8589204055934787 [0.926702,0.791139] unweighted_recall 0.8402644310424813 [0.908377,0.772152] unweighted_recall 0.8365531181655511 [0.913613,0.759494] unweighted_recall 0.8172881691675333 [0.923885,0.710692] unweighted_recall 0.8262021492596444 [0.929134,0.72327] usercpu_time_millis 420.6704409999702 usercpu_time_millis 455.44685499999105 usercpu_time_millis 354.75707199998396 usercpu_time_millis 526.16544600005 usercpu_time_millis 471.0749979999491 usercpu_time_millis 500.4907540000545 usercpu_time_millis 733.9251519999834 usercpu_time_millis 404.49868799998967 usercpu_time_millis 392.24633100002393 usercpu_time_millis 537.0414419999747 usercpu_time_millis_testing 5.755744999987655 usercpu_time_millis_testing 5.92645699998684 usercpu_time_millis_testing 5.519128000003093 usercpu_time_millis_testing 5.839566000020113 usercpu_time_millis_testing 5.891399999995883 usercpu_time_millis_testing 5.82689200001596 usercpu_time_millis_testing 6.412254999986544 usercpu_time_millis_testing 5.563735999999153 usercpu_time_millis_testing 5.7769260000100076 usercpu_time_millis_testing 4.0783249999662985 usercpu_time_millis_training 414.91469599998254 usercpu_time_millis_training 449.5203980000042 usercpu_time_millis_training 349.23794399998087 usercpu_time_millis_training 520.3258800000299 usercpu_time_millis_training 465.18359799995324 usercpu_time_millis_training 494.66386200003853 usercpu_time_millis_training 727.5128969999969 usercpu_time_millis_training 398.9349519999905 usercpu_time_millis_training 386.4694050000139 usercpu_time_millis_training 532.9631170000084 wall_clock_time_millis 426.7275333404541 wall_clock_time_millis 477.7693748474121 wall_clock_time_millis 383.19993019104004 wall_clock_time_millis 537.6863479614258 wall_clock_time_millis 478.50751876831055 wall_clock_time_millis 515.5999660491943 wall_clock_time_millis 756.321907043457 wall_clock_time_millis 407.18913078308105 wall_clock_time_millis 411.1020565032959 wall_clock_time_millis 541.1856174468994 wall_clock_time_millis_testing 5.838632583618164 wall_clock_time_millis_testing 5.930423736572266 wall_clock_time_millis_testing 5.52678108215332 wall_clock_time_millis_testing 5.90205192565918 wall_clock_time_millis_testing 5.996942520141602 wall_clock_time_millis_testing 5.8345794677734375 wall_clock_time_millis_testing 6.426095962524414 wall_clock_time_millis_testing 5.567789077758789 wall_clock_time_millis_testing 8.486032485961914 wall_clock_time_millis_testing 4.082918167114258 wall_clock_time_millis_training 420.88890075683594 wall_clock_time_millis_training 471.83895111083984 wall_clock_time_millis_training 377.6731491088867 wall_clock_time_millis_training 531.7842960357666 wall_clock_time_millis_training 472.51057624816895 wall_clock_time_millis_training 509.7653865814209 wall_clock_time_millis_training 749.8958110809326 wall_clock_time_millis_training 401.62134170532227 wall_clock_time_millis_training 402.616024017334 wall_clock_time_millis_training 537.1026992797852 weighted_recall 0.8650646950092421 [0.913613,0.748428] weighted_recall 0.8576709796672828 [0.897906,0.761006] weighted_recall 0.8632162661737524 [0.91623,0.735849] weighted_recall 0.8576709796672828 [0.890052,0.779874] weighted_recall 0.8425925925925926 [0.910995,0.677215] weighted_recall 0.8870370370370371 [0.926702,0.791139] weighted_recall 0.8685185185185185 [0.908377,0.772152] weighted_recall 0.8685185185185185 [0.913613,0.759494] weighted_recall 0.8611111111111112 [0.923885,0.710692] weighted_recall 0.8685185185185185 [0.929134,0.72327]