10329320 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) 8184940 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 4.043069327490065 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.006149207135497997 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 50087 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 21580337 description https://api.openml.org/data/download/21580337/description.xml -1 21580338 predictions https://api.openml.org/data/download/21580338/predictions.arff area_under_roc_curve 0.8437902590362499 [0.704251,0.735785,0.972798,0.968894] average_cost 0 f_measure 0.7568888611062965 [0.563158,0.606897,0.952596,0.912442] kappa 0.688054840133413 kb_relative_information_score 0.7187056515935827 mean_absolute_error 0.11702127659574468 mean_prior_absolute_error 0.3748407731887084 number_of_instances 846 [212,217,218,199] precision 0.7547540728115746 [0.636905,0.605505,0.937778,0.842553] predictive_accuracy 0.7659574468085107 prior_entropy 1.9990667866719984 recall 0.7659574468085106 [0.504717,0.608295,0.96789,0.994975] relative_absolute_error 0.31218929467107875 root_mean_prior_squared_error 0.4329203297871725 root_mean_squared_error 0.3420837274641176 root_relative_squared_error 0.7901770924740102 total_cost 0 area_under_roc_curve 0.8514155982905982 [0.71503,0.762626,0.977273,0.953846] area_under_roc_curve 0.8349301739926739 [0.722842,0.693362,0.9614,0.969231] area_under_roc_curve 0.8194291819291819 [0.651786,0.693362,0.969336,0.969231] area_under_roc_curve 0.8582474816849816 [0.667039,0.829726,0.9614,0.976923] area_under_roc_curve 0.8423820970695971 [0.659598,0.73088,0.992063,0.992308] area_under_roc_curve 0.8985462454212455 [0.857887,0.802309,0.969336,0.969231] area_under_roc_curve 0.8403265193587773 [0.709677,0.760264,0.968254,0.942915] area_under_roc_curve 0.8408698156682026 [0.716276,0.714286,0.97619,0.96875] area_under_roc_curve 0.8416378648233488 [0.746032,0.68254,0.969208,0.96875] area_under_roc_curve 0.8096398169482848 [0.595238,0.68254,0.983871,0.976562] 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 0.7689782655651799 [0.578947,0.651163,0.976744,0.869565] f_measure 0.7435486823722117 [0.594595,0.545455,0.933333,0.909091] f_measure 0.7191669012102448 [0.473684,0.545455,0.954545,0.909091] f_measure 0.7703292293661651 [0.5,0.72,0.933333,0.930233] f_measure 0.7570106520941406 [0.486486,0.595745,0.977778,0.97561] f_measure 0.8425837320574163 [0.772727,0.736842,0.954545,0.909091] f_measure 0.7555038348335811 [0.578947,0.638298,0.952381,0.878049] f_measure 0.7478304964184297 [0.585366,0.578947,0.933333,0.909091] f_measure 0.7527910685805422 [0.619048,0.526316,0.954545,0.909091] f_measure 0.6933454142756469 [0.363636,0.521739,0.956522,0.930233] kappa 0.702249262536873 kappa 0.6706034323675955 kappa 0.6392988929889298 kappa 0.7172949002217295 kappa 0.685941252540181 kappa 0.7963509030593439 kappa 0.6827195467422096 kappa 0.6828393430243533 kappa 0.6826596146581034 kappa 0.6189756189756189 kb_relative_information_score 0.7313911261723068 kb_relative_information_score 0.7032507831739063 kb_relative_information_score 0.6748502342238757 kb_relative_information_score 0.7450709887440621 kb_relative_information_score 0.7170353343062171 kb_relative_information_score 0.8165927730223976 kb_relative_information_score 0.7132422092303135 kb_relative_information_score 0.7140592498515393 kb_relative_information_score 0.7142799746040228 kb_relative_information_score 0.6563943475165267 mean_absolute_error 0.11176470588235295 mean_absolute_error 0.12352941176470589 mean_absolute_error 0.13529411764705881 mean_absolute_error 0.10588235294117647 mean_absolute_error 0.11764705882352941 mean_absolute_error 0.07647058823529412 mean_absolute_error 0.11904761904761904 mean_absolute_error 0.11904761904761904 mean_absolute_error 0.11904761904761904 mean_absolute_error 0.14285714285714285 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 0.7722296158282317 [0.647059,0.666667,1,0.769231] precision 0.743424978687127 [0.6875,0.545455,0.913043,0.833333] precision 0.7151095732410611 [0.529412,0.545455,0.954545,0.833333] precision 0.7869864151194075 [0.727273,0.642857,0.913043,0.869565] precision 0.7555717330410426 [0.5625,0.56,0.956522,0.952381] precision 0.8522165387894288 [0.73913,0.875,0.954545,0.833333] precision 0.7603625541125542 [0.6875,0.6,0.952381,0.818182] precision 0.7443409381296379 [0.631579,0.647059,0.875,0.833333] precision 0.7502334267040149 [0.619048,0.588235,0.954545,0.833333] precision 0.6921187025534851 [0.5,0.48,0.916667,0.869565] predictive_accuracy 0.776470588235294 predictive_accuracy 0.7529411764705882 predictive_accuracy 0.7294117647058823 predictive_accuracy 0.7882352941176471 predictive_accuracy 0.7647058823529411 predictive_accuracy 0.8470588235294118 predictive_accuracy 0.7619047619047619 predictive_accuracy 0.7619047619047619 predictive_accuracy 0.7619047619047619 predictive_accuracy 0.7142857142857143 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 0.7764705882352941 [0.52381,0.636364,0.954545,1] recall 0.7529411764705882 [0.52381,0.545455,0.954545,1] recall 0.7294117647058823 [0.428571,0.545455,0.954545,1] recall 0.788235294117647 [0.380952,0.818182,0.954545,1] recall 0.7647058823529411 [0.428571,0.636364,1,1] recall 0.8470588235294118 [0.809524,0.636364,0.954545,1] recall 0.7619047619047619 [0.5,0.681818,0.952381,0.947368] recall 0.7619047619047619 [0.545455,0.52381,1,1] recall 0.7619047619047619 [0.619048,0.47619,0.954545,1] recall 0.7142857142857143 [0.285714,0.571429,1,1] relative_absolute_error 0.2981740302420471 relative_absolute_error 0.32956077026752567 relative_absolute_error 0.3609475102930043 relative_absolute_error 0.28248066022930773 relative_absolute_error 0.3138674002547863 relative_absolute_error 0.20401381016561115 relative_absolute_error 0.31764420112483405 relative_absolute_error 0.3175374040383284 relative_absolute_error 0.3175729950869588 relative_absolute_error 0.38108759410435056 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 0.33431228796194873 root_mean_squared_error 0.3514675116774037 root_mean_squared_error 0.36782348707914075 root_mean_squared_error 0.32539568672798425 root_mean_squared_error 0.3429971702850177 root_mean_squared_error 0.27653315937748607 root_mean_squared_error 0.3450327796711771 root_mean_squared_error 0.3450327796711771 root_mean_squared_error 0.3450327796711771 root_mean_squared_error 0.3779644730092272 root_relative_squared_error 0.7722471608243364 root_relative_squared_error 0.811874997684088 root_relative_squared_error 0.8496566049456846 root_relative_squared_error 0.7516501913587222 root_relative_squared_error 0.7923088694649917 root_relative_squared_error 0.6387798321889793 root_relative_squared_error 0.7971121411074134 root_relative_squared_error 0.7968441423411657 root_relative_squared_error 0.7969334452261931 root_relative_squared_error 0.8729968495613873 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 51.80239898618311 usercpu_time_millis 50.66235800040886 usercpu_time_millis 50.564958990435116 usercpu_time_millis 50.3133480087854 usercpu_time_millis 52.058910005143844 usercpu_time_millis 51.00599401339423 usercpu_time_millis 51.09468499722425 usercpu_time_millis 50.59367400826886 usercpu_time_millis 50.98631500732154 usercpu_time_millis 49.87920299754478 usercpu_time_millis_testing 4.554523999104276 usercpu_time_millis_testing 4.568994001601823 usercpu_time_millis_testing 4.496182998991571 usercpu_time_millis_testing 4.473719003726728 usercpu_time_millis_testing 4.516204004175961 usercpu_time_millis_testing 4.495981003856286 usercpu_time_millis_testing 4.486717996769585 usercpu_time_millis_testing 4.424402010045014 usercpu_time_millis_testing 4.469532999792136 usercpu_time_millis_testing 4.41573400166817 usercpu_time_millis_training 47.24787498707883 usercpu_time_millis_training 46.093363998807035 usercpu_time_millis_training 46.068775991443545 usercpu_time_millis_training 45.83962900505867 usercpu_time_millis_training 47.54270600096788 usercpu_time_millis_training 46.51001300953794 usercpu_time_millis_training 46.607967000454664 usercpu_time_millis_training 46.16927199822385 usercpu_time_millis_training 46.5167820075294 usercpu_time_millis_training 45.46346899587661 wall_clock_time_millis 103.81960868835449 wall_clock_time_millis 50.684452056884766 wall_clock_time_millis 50.64082145690918 wall_clock_time_millis 50.333261489868164 wall_clock_time_millis 52.07991600036621 wall_clock_time_millis 51.11503601074219 wall_clock_time_millis 51.11360549926758 wall_clock_time_millis 50.6129264831543 wall_clock_time_millis 51.02109909057617 wall_clock_time_millis 49.98612403869629 wall_clock_time_millis_testing 4.567623138427734 wall_clock_time_millis_testing 4.580974578857422 wall_clock_time_millis_testing 4.507780075073242 wall_clock_time_millis_testing 4.4841766357421875 wall_clock_time_millis_testing 4.526853561401367 wall_clock_time_millis_testing 4.508495330810547 wall_clock_time_millis_testing 4.495859146118164 wall_clock_time_millis_testing 4.435062408447266 wall_clock_time_millis_testing 4.479646682739258 wall_clock_time_millis_testing 4.441976547241211 wall_clock_time_millis_training 99.25198554992676 wall_clock_time_millis_training 46.103477478027344 wall_clock_time_millis_training 46.13304138183594 wall_clock_time_millis_training 45.84908485412598 wall_clock_time_millis_training 47.553062438964844 wall_clock_time_millis_training 46.60654067993164 wall_clock_time_millis_training 46.617746353149414 wall_clock_time_millis_training 46.17786407470703 wall_clock_time_millis_training 46.541452407836914 wall_clock_time_millis_training 45.54414749145508