10329357 8323 Heinrich Peters 53 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8184977 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 C 0.42681252219264904 13389 cache_size 200 13389 class_weight null 13389 coef0 0.23495235580748663 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 0.0419665675168468 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 55681 13389 shrinking true 13389 tol 0.001 13389 verbose false 13389 memory null 16345 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}] 16345 verbose false 16345 openml-python Sklearn_0.21.2. 54 vehicle https://www.openml.org/data/download/54/dataset_54_vehicle.arff -1 21580411 description https://api.openml.org/data/download/21580411/description.xml -1 21580412 predictions https://api.openml.org/data/download/21580412/predictions.arff area_under_roc_curve 0.8233459293400681 [0.642194,0.73355,0.96732,0.956529] average_cost 0 f_measure 0.7162113344716187 [0.452599,0.597015,0.941704,0.88] kappa 0.6471054880921565 kb_relative_information_score 0.6815236013025299 mean_absolute_error 0.13238770685579196 mean_prior_absolute_error 0.3748407731887084 number_of_instances 846 [212,217,218,199] precision 0.7266459813538875 [0.643478,0.555556,0.921053,0.788845] predictive_accuracy 0.735224586288416 prior_entropy 1.9990667866719984 recall 0.735224586288416 [0.349057,0.645161,0.963303,0.994975] relative_absolute_error 0.3531838485167759 root_mean_prior_squared_error 0.4329203297871725 root_mean_squared_error 0.36385121527321024 root_relative_squared_error 0.8404576783263628 total_cost 0 area_under_roc_curve 0.8438396672771673 [0.667039,0.800144,0.977273,0.930769] area_under_roc_curve 0.8271138583638583 [0.659226,0.73088,0.9614,0.961538] area_under_roc_curve 0.8116090506715508 [0.603795,0.73088,0.9614,0.953846] area_under_roc_curve 0.8186851343101342 [0.603423,0.783189,0.945527,0.944231] area_under_roc_curve 0.8349301739926739 [0.651414,0.722944,1,0.969231] area_under_roc_curve 0.8588560744810745 [0.698661,0.814935,0.969336,0.953846] area_under_roc_curve 0.8486352357320099 [0.688416,0.789589,0.97619,0.961538] area_under_roc_curve 0.7932467677931386 [0.640029,0.642857,0.944444,0.960938] area_under_roc_curve 0.8020793330773169 [0.650794,0.626984,0.969208,0.960938] area_under_roc_curve 0.793634792626728 [0.555556,0.68254,0.967742,0.96875] 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 0.7484617709571189 [0.5,0.695652,0.976744,0.816327] f_measure 0.7246977914312083 [0.484848,0.595745,0.933333,0.888889] f_measure 0.6930120077633274 [0.375,0.595745,0.933333,0.869565] f_measure 0.6966895112629607 [0.357143,0.653846,0.893617,0.883721] f_measure 0.7399706406626821 [0.470588,0.583333,1,0.909091] f_measure 0.7739663256606991 [0.5625,0.708333,0.954545,0.869565] f_measure 0.7612520145135007 [0.545455,0.666667,0.97561,0.883721] f_measure 0.6701261701261702 [0.461538,0.461538,0.888889,0.888889] f_measure 0.6898173618327662 [0.473684,0.439024,0.954545,0.888889] f_measure 0.6442218892218892 [0.230769,0.52,0.916667,0.909091] kappa 0.6865781710914454 kappa 0.6547904744323426 kappa 0.6234772978959026 kappa 0.6384985207100591 kappa 0.6704209748892171 kappa 0.7176079734219268 kappa 0.6988679245283019 kappa 0.5879245283018868 kappa 0.6033994334277619 kappa 0.5871455576559546 kb_relative_information_score 0.7169306457456617 kb_relative_information_score 0.6887903027472615 kb_relative_information_score 0.6603897537972313 kb_relative_information_score 0.6738365457657742 kb_relative_information_score 0.7028350598312021 kb_relative_information_score 0.745201091719877 kb_relative_information_score 0.7277199042524936 kb_relative_information_score 0.6283027301565751 kb_relative_information_score 0.6425802928922948 kb_relative_information_score 0.6275302015875627 mean_absolute_error 0.11764705882352941 mean_absolute_error 0.12941176470588237 mean_absolute_error 0.1411764705882353 mean_absolute_error 0.13529411764705881 mean_absolute_error 0.12352941176470589 mean_absolute_error 0.10588235294117647 mean_absolute_error 0.1130952380952381 mean_absolute_error 0.15476190476190477 mean_absolute_error 0.1488095238095238 mean_absolute_error 0.15476190476190477 mean_prior_absolute_error 0.37483044982698976 mean_prior_absolute_error 0.37483044982698976 mean_prior_absolute_error 0.37483044982698976 mean_prior_absolute_error 0.37483044982698976 mean_prior_absolute_error 0.37483044982698976 mean_prior_absolute_error 0.37483044982698976 mean_prior_absolute_error 0.37478291316526624 mean_prior_absolute_error 0.37490896358543435 mean_prior_absolute_error 0.37486694677871163 mean_prior_absolute_error 0.37486694677871163 number_of_instances 85 [21,22,22,20] number_of_instances 85 [21,22,22,20] number_of_instances 85 [21,22,22,20] number_of_instances 85 [21,22,22,20] number_of_instances 85 [21,22,22,20] number_of_instances 85 [21,22,22,20] number_of_instances 84 [22,22,21,19] number_of_instances 84 [22,21,21,20] number_of_instances 84 [21,21,22,20] number_of_instances 84 [21,21,22,20] precision 0.7733234986784682 [0.727273,0.666667,1,0.689655] precision 0.7341994884910487 [0.666667,0.56,0.913043,0.8] precision 0.6970131454223526 [0.545455,0.56,0.913043,0.769231] precision 0.73492242114237 [0.714286,0.566667,0.84,0.826087] precision 0.7463046757164403 [0.615385,0.538462,1,0.833333] precision 0.7994241053064582 [0.818182,0.653846,0.954545,0.769231] precision 0.7968835522714832 [0.818182,0.586207,1,0.791667] precision 0.6624649859943977 [0.529412,0.5,0.833333,0.8] precision 0.6853291316526611 [0.529412,0.45,0.954545,0.8] precision 0.6820933855416614 [0.6,0.448276,0.846154,0.833333] predictive_accuracy 0.7647058823529411 predictive_accuracy 0.7411764705882353 predictive_accuracy 0.7176470588235294 predictive_accuracy 0.7294117647058823 predictive_accuracy 0.7529411764705882 predictive_accuracy 0.7882352941176471 predictive_accuracy 0.7738095238095238 predictive_accuracy 0.6904761904761905 predictive_accuracy 0.7023809523809524 predictive_accuracy 0.6904761904761905 prior_entropy 1.9989496630655892 prior_entropy 1.9989496630655892 prior_entropy 1.9989496630655892 prior_entropy 1.9989496630655892 prior_entropy 1.9989496630655892 prior_entropy 1.9989496630655892 prior_entropy 1.998373047127382 prior_entropy 1.9998531439726461 prior_entropy 1.99937603159913 prior_entropy 1.99937603159913 recall 0.7647058823529411 [0.380952,0.727273,0.954545,1] recall 0.7411764705882353 [0.380952,0.636364,0.954545,1] recall 0.7176470588235294 [0.285714,0.636364,0.954545,1] recall 0.7294117647058823 [0.238095,0.772727,0.954545,0.95] recall 0.7529411764705882 [0.380952,0.636364,1,1] recall 0.788235294117647 [0.428571,0.772727,0.954545,1] recall 0.7738095238095238 [0.409091,0.772727,0.952381,1] recall 0.6904761904761905 [0.409091,0.428571,0.952381,1] recall 0.7023809523809523 [0.428571,0.428571,0.954545,1] recall 0.6904761904761905 [0.142857,0.619048,1,1] relative_absolute_error 0.3138674002547863 relative_absolute_error 0.345254140280265 relative_absolute_error 0.3766408803057436 relative_absolute_error 0.3609475102930043 relative_absolute_error 0.32956077026752567 relative_absolute_error 0.28248066022930773 relative_absolute_error 0.30176199106859236 relative_absolute_error 0.412798625249827 relative_absolute_error 0.39696624385869855 relative_absolute_error 0.4128448936130465 root_mean_prior_squared_error 0.43290840668819885 root_mean_prior_squared_error 0.43290840668819885 root_mean_prior_squared_error 0.43290840668819885 root_mean_prior_squared_error 0.43290840668819885 root_mean_prior_squared_error 0.43290840668819885 root_mean_prior_squared_error 0.43290840668819885 root_mean_prior_squared_error 0.4328534993731614 root_mean_prior_squared_error 0.43299907891329226 root_mean_prior_squared_error 0.43295055783892555 root_mean_prior_squared_error 0.43295055783892555 root_mean_squared_error 0.3429971702850177 root_mean_squared_error 0.3597384670922507 root_mean_squared_error 0.37573457465108967 root_mean_squared_error 0.36782348707914075 root_mean_squared_error 0.3514675116774037 root_mean_squared_error 0.32539568672798425 root_mean_squared_error 0.33629635456727464 root_mean_squared_error 0.3933978962347216 root_mean_squared_error 0.3857583749052298 root_mean_squared_error 0.3933978962347216 root_relative_squared_error 0.7923088694649917 root_relative_squared_error 0.8309805527785729 root_relative_squared_error 0.8679308806347841 root_relative_squared_error 0.8496566049456846 root_relative_squared_error 0.811874997684088 root_relative_squared_error 0.7516501913587222 root_relative_squared_error 0.77692881091243 root_relative_squared_error 0.9085421087315966 root_relative_squared_error 0.8909986785344366 root_relative_squared_error 0.9086439296864952 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 usercpu_time_millis 57.01764399418607 usercpu_time_millis 58.84764301299583 usercpu_time_millis 58.78070900507737 usercpu_time_millis 58.309300991822965 usercpu_time_millis 63.04596399422735 usercpu_time_millis 58.99747199146077 usercpu_time_millis 58.464603003812954 usercpu_time_millis 58.11076999816578 usercpu_time_millis 58.40568299754523 usercpu_time_millis 58.15863200405147 usercpu_time_millis_testing 5.001644996809773 usercpu_time_millis_testing 5.067505000624806 usercpu_time_millis_testing 5.094035004731268 usercpu_time_millis_testing 5.09570499707479 usercpu_time_millis_testing 5.052944994531572 usercpu_time_millis_testing 5.014733993448317 usercpu_time_millis_testing 5.003707003197633 usercpu_time_millis_testing 4.980552999768406 usercpu_time_millis_testing 5.014990994823165 usercpu_time_millis_testing 5.042602002504282 usercpu_time_millis_training 52.0159989973763 usercpu_time_millis_training 53.780138012371026 usercpu_time_millis_training 53.6866740003461 usercpu_time_millis_training 53.213595994748175 usercpu_time_millis_training 57.99301899969578 usercpu_time_millis_training 53.98273799801245 usercpu_time_millis_training 53.46089600061532 usercpu_time_millis_training 53.13021699839737 usercpu_time_millis_training 53.39069200272206 usercpu_time_millis_training 53.11603000154719 wall_clock_time_millis 89.03741836547852 wall_clock_time_millis 58.884382247924805 wall_clock_time_millis 58.80331993103027 wall_clock_time_millis 58.47620964050293 wall_clock_time_millis 63.09938430786133 wall_clock_time_millis 59.06200408935547 wall_clock_time_millis 58.49909782409668 wall_clock_time_millis 58.159828186035156 wall_clock_time_millis 58.441162109375 wall_clock_time_millis 58.17866325378418 wall_clock_time_millis_testing 5.012035369873047 wall_clock_time_millis_testing 5.079030990600586 wall_clock_time_millis_testing 5.105257034301758 wall_clock_time_millis_testing 5.106925964355469 wall_clock_time_millis_testing 5.064725875854492 wall_clock_time_millis_testing 5.025386810302734 wall_clock_time_millis_testing 5.014657974243164 wall_clock_time_millis_testing 4.991292953491211 wall_clock_time_millis_testing 5.026578903198242 wall_clock_time_millis_testing 5.053281784057617 wall_clock_time_millis_training 84.02538299560547 wall_clock_time_millis_training 53.80535125732422 wall_clock_time_millis_training 53.698062896728516 wall_clock_time_millis_training 53.36928367614746 wall_clock_time_millis_training 58.034658432006836 wall_clock_time_millis_training 54.036617279052734 wall_clock_time_millis_training 53.484439849853516 wall_clock_time_millis_training 53.168535232543945 wall_clock_time_millis_training 53.41458320617676 wall_clock_time_millis_training 53.12538146972656