10329347 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) 8184967 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 2.6420113048794582 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.5273436479076765 13389 decision_function_shape "ovr" 13389 degree 5 13389 gamma 0.0019341495605253744 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 43486 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 21580391 description https://api.openml.org/data/download/21580391/description.xml -1 21580392 predictions https://api.openml.org/data/download/21580392/predictions.arff area_under_roc_curve 0.8030992948222136 [0.658688,0.714333,0.925882,0.919233] average_cost 0 f_measure 0.6858040839337797 [0.48538,0.576832,0.865096,0.821739] kappa 0.606316067702468 kb_relative_information_score 0.6444623862911023 mean_absolute_error 0.14775413711583923 mean_prior_absolute_error 0.3748407731887084 number_of_instances 846 [212,217,218,199] precision 0.6912804529066126 [0.638462,0.592233,0.811245,0.724138] predictive_accuracy 0.7044917257683215 prior_entropy 1.9990667866719984 recall 0.7044917257683215 [0.391509,0.562212,0.926606,0.949749] relative_absolute_error 0.39417840236247315 root_mean_prior_squared_error 0.4329203297871725 root_mean_squared_error 0.38438800334536877 root_relative_squared_error 0.8878954784459704 total_cost 0 area_under_roc_curve 0.8202743437118436 [0.667039,0.79329,0.945527,0.873077] area_under_roc_curve 0.8039129273504273 [0.667039,0.731962,0.929654,0.888462] area_under_roc_curve 0.8357867826617826 [0.69122,0.770563,0.938672,0.946154] area_under_roc_curve 0.8111168345543346 [0.643229,0.777417,0.913781,0.911538] area_under_roc_curve 0.7882879273504274 [0.579985,0.708153,0.930736,0.938462] area_under_roc_curve 0.8120898199023199 [0.682664,0.769481,0.900072,0.898077] area_under_roc_curve 0.808824687856946 [0.656158,0.722874,0.944444,0.935223] area_under_roc_curve 0.8008072516641065 [0.677419,0.642857,0.920635,0.976562] area_under_roc_curve 0.8023193484383002 [0.761905,0.611111,0.907625,0.929688] area_under_roc_curve 0.7461317524321556 [0.555556,0.603175,0.928886,0.895312] 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 0.7118636667927932 [0.5,0.697674,0.893617,0.75] f_measure 0.686019321783314 [0.5,0.604651,0.857143,0.782609] f_measure 0.741638760161914 [0.540541,0.666667,0.909091,0.851064] f_measure 0.694263185173456 [0.451613,0.666667,0.823529,0.837209] f_measure 0.652131745638882 [0.322581,0.565217,0.888889,0.833333] f_measure 0.7015977405454935 [0.533333,0.652174,0.844444,0.77551] f_measure 0.6982748054176625 [0.486486,0.590909,0.888889,0.857143] f_measure 0.6812911986500025 [0.52381,0.457143,0.833333,0.930233] f_measure 0.6830539358600584 [0.65,0.4,0.863636,0.816327] f_measure 0.5839053803339518 [0.266667,0.409091,0.857143,0.8] kappa 0.6394319439321283 kappa 0.6077888519748985 kappa 0.6709677419354838 kappa 0.6229902051376824 kappa 0.5766463752075263 kappa 0.6237550719291775 kappa 0.6196943972835315 kappa 0.6033994334277619 kappa 0.6036988110964332 kappa 0.49187145557655954 kb_relative_information_score 0.673733578138377 kb_relative_information_score 0.6455932351399766 kb_relative_information_score 0.7031460946133511 kb_relative_information_score 0.6595333036633616 kb_relative_information_score 0.618074550739075 kb_relative_information_score 0.660207512024538 kb_relative_information_score 0.6560117027444196 kb_relative_information_score 0.6427971561799153 kb_relative_information_score 0.643158210843249 kb_relative_information_score 0.5412816278416603 mean_absolute_error 0.13529411764705881 mean_absolute_error 0.14705882352941177 mean_absolute_error 0.12352941176470589 mean_absolute_error 0.1411764705882353 mean_absolute_error 0.1588235294117647 mean_absolute_error 0.1411764705882353 mean_absolute_error 0.14285714285714285 mean_absolute_error 0.1488095238095238 mean_absolute_error 0.1488095238095238 mean_absolute_error 0.19047619047619047 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 0.7332253628724218 [0.727273,0.714286,0.84,0.642857] precision 0.7041063511651747 [0.727273,0.619048,0.777778,0.692308] precision 0.7451742919389979 [0.625,0.7,0.909091,0.740741] precision 0.7133062880324543 [0.7,0.652174,0.724138,0.782609] precision 0.6568566557057606 [0.5,0.541667,0.869565,0.714286] precision 0.7493415057177293 [0.888889,0.625,0.826087,0.655172] precision 0.6972567287784679 [0.6,0.590909,0.833333,0.782609] precision 0.6791292845640672 [0.55,0.571429,0.740741,0.869565] precision 0.6864467202488981 [0.684211,0.5,0.863636,0.689655] precision 0.584069473199908 [0.444444,0.391304,0.777778,0.72] predictive_accuracy 0.7294117647058823 predictive_accuracy 0.7058823529411765 predictive_accuracy 0.7529411764705882 predictive_accuracy 0.7176470588235294 predictive_accuracy 0.6823529411764706 predictive_accuracy 0.7176470588235294 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7023809523809524 predictive_accuracy 0.7023809523809524 predictive_accuracy 0.6190476190476191 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 0.7294117647058823 [0.380952,0.681818,0.954545,0.9] recall 0.7058823529411765 [0.380952,0.590909,0.954545,0.9] recall 0.7529411764705882 [0.47619,0.636364,0.909091,1] recall 0.7176470588235294 [0.333333,0.681818,0.954545,0.9] recall 0.6823529411764706 [0.238095,0.590909,0.909091,1] recall 0.7176470588235294 [0.380952,0.681818,0.863636,0.95] recall 0.7142857142857143 [0.409091,0.590909,0.952381,0.947368] recall 0.7023809523809523 [0.5,0.380952,0.952381,1] recall 0.7023809523809523 [0.619048,0.333333,0.863636,1] recall 0.6190476190476191 [0.190476,0.428571,0.954545,0.9] relative_absolute_error 0.3609475102930043 relative_absolute_error 0.392334250318483 relative_absolute_error 0.32956077026752567 relative_absolute_error 0.3766408803057436 relative_absolute_error 0.4237209903439616 relative_absolute_error 0.3766408803057436 relative_absolute_error 0.3811730413498008 relative_absolute_error 0.3969217550479106 relative_absolute_error 0.39696624385869855 relative_absolute_error 0.5081167921391342 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 0.36782348707914075 root_mean_squared_error 0.3834824944236852 root_mean_squared_error 0.3514675116774037 root_mean_squared_error 0.37573457465108967 root_mean_squared_error 0.39852669849304284 root_mean_squared_error 0.37573457465108967 root_mean_squared_error 0.3779644730092272 root_mean_squared_error 0.3857583749052298 root_mean_squared_error 0.3857583749052298 root_mean_squared_error 0.4364357804719847 root_relative_squared_error 0.8496566049456846 root_relative_squared_error 0.8858282456498644 root_relative_squared_error 0.811874997684088 root_relative_squared_error 0.8679308806347841 root_relative_squared_error 0.9205797169471016 root_relative_squared_error 0.8679308806347841 root_relative_squared_error 0.8731926010915426 root_relative_squared_error 0.8908988348736826 root_relative_squared_error 0.8909986785344366 root_relative_squared_error 1.0080499321919243 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 66.06539299536962 usercpu_time_millis 65.17210599849932 usercpu_time_millis 65.97537500783801 usercpu_time_millis 66.18834800610784 usercpu_time_millis 66.3003910012776 usercpu_time_millis 65.67564199212939 usercpu_time_millis 66.09288099571131 usercpu_time_millis 64.71365201286972 usercpu_time_millis 65.48847800877411 usercpu_time_millis 65.13975700363517 usercpu_time_millis_testing 5.37570400047116 usercpu_time_millis_testing 5.319695002981462 usercpu_time_millis_testing 5.356580004445277 usercpu_time_millis_testing 5.363685006159358 usercpu_time_millis_testing 5.4248859960353 usercpu_time_millis_testing 5.317166986060329 usercpu_time_millis_testing 5.309029002091847 usercpu_time_millis_testing 5.314588008332066 usercpu_time_millis_testing 5.2849540079478174 usercpu_time_millis_testing 5.264694002107717 usercpu_time_millis_training 60.68968899489846 usercpu_time_millis_training 59.85241099551786 usercpu_time_millis_training 60.618795003392734 usercpu_time_millis_training 60.82466299994849 usercpu_time_millis_training 60.8755050052423 usercpu_time_millis_training 60.35847500606906 usercpu_time_millis_training 60.783851993619464 usercpu_time_millis_training 59.39906400453765 usercpu_time_millis_training 60.20352400082629 usercpu_time_millis_training 59.87506300152745 wall_clock_time_millis 66.0858154296875 wall_clock_time_millis 65.19627571105957 wall_clock_time_millis 98.00910949707031 wall_clock_time_millis 106.20975494384766 wall_clock_time_millis 114.35532569885254 wall_clock_time_millis 65.69671630859375 wall_clock_time_millis 66.131591796875 wall_clock_time_millis 64.83340263366699 wall_clock_time_millis 65.51194190979004 wall_clock_time_millis 65.16003608703613 wall_clock_time_millis_testing 5.387783050537109 wall_clock_time_millis_testing 5.332708358764648 wall_clock_time_millis_testing 5.368232727050781 wall_clock_time_millis_testing 5.37562370300293 wall_clock_time_millis_testing 21.440505981445312 wall_clock_time_millis_testing 5.328178405761719 wall_clock_time_millis_testing 5.323648452758789 wall_clock_time_millis_testing 5.325078964233398 wall_clock_time_millis_testing 5.297183990478516 wall_clock_time_millis_testing 5.274534225463867 wall_clock_time_millis_training 60.69803237915039 wall_clock_time_millis_training 59.86356735229492 wall_clock_time_millis_training 92.64087677001953 wall_clock_time_millis_training 100.83413124084473 wall_clock_time_millis_training 92.91481971740723 wall_clock_time_millis_training 60.36853790283203 wall_clock_time_millis_training 60.80794334411621 wall_clock_time_millis_training 59.508323669433594 wall_clock_time_millis_training 60.21475791931152 wall_clock_time_millis_training 59.885501861572266