10329335 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) 8184955 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 0.6924057373577415 13389 cache_size 200 13389 class_weight null 13389 coef0 0.46594279667222027 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 0.027501589087229522 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 11207 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 21580367 description https://api.openml.org/data/download/21580367/description.xml -1 21580368 predictions https://api.openml.org/data/download/21580368/predictions.arff area_under_roc_curve 0.8325130914643746 [0.650043,0.747456,0.968723,0.97044] average_cost 0 f_measure 0.7327615159190509 [0.468843,0.615711,0.938053,0.916667] kappa 0.6658363128564481 kb_relative_information_score 0.6985468925677516 mean_absolute_error 0.12529550827423167 mean_prior_absolute_error 0.3748407731887084 number_of_instances 846 [212,217,218,199] precision 0.738148371628272 [0.632,0.570866,0.905983,0.849785] predictive_accuracy 0.7494089834515367 prior_entropy 1.9990667866719984 recall 0.7494089834515366 [0.372642,0.668203,0.972477,0.994975] relative_absolute_error 0.33426328520337717 root_mean_prior_squared_error 0.4329203297871725 root_mean_squared_error 0.3539710557012136 root_relative_squared_error 0.8176355586609411 total_cost 0 area_under_roc_curve 0.8594722985347985 [0.699033,0.816017,0.977273,0.946154] area_under_roc_curve 0.8188129578754578 [0.651414,0.700216,0.953463,0.976923] area_under_roc_curve 0.8194291819291819 [0.675595,0.678571,0.9614,0.969231] area_under_roc_curve 0.826377442002442 [0.603423,0.805916,0.945527,0.951923] area_under_roc_curve 0.8107524420024419 [0.563988,0.721861,0.984127,0.976923] area_under_roc_curve 0.8816849816849816 [0.666667,0.889971,0.992063,0.976923] area_under_roc_curve 0.8394540942928039 [0.634897,0.788123,0.97619,0.984615] area_under_roc_curve 0.8247447836661547 [0.685484,0.68254,0.968254,0.976562] area_under_roc_curve 0.8416378648233488 [0.746032,0.68254,0.969208,0.96875] area_under_roc_curve 0.8013192844342039 [0.571429,0.698413,0.959677,0.976562] 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 0.7785448865345248 [0.555556,0.727273,0.976744,0.851064] f_measure 0.7146373340195735 [0.470588,0.553191,0.913043,0.930233] f_measure 0.7177434330375506 [0.512821,0.52381,0.933333,0.909091] f_measure 0.7082142210557446 [0.357143,0.679245,0.893617,0.904762] f_measure 0.6839240066381626 [0.275862,0.576923,0.956522,0.930233] f_measure 0.7967867457060344 [0.5,0.777778,0.977778,0.930233] f_measure 0.7447952961672474 [0.4375,0.654545,0.97561,0.95] f_measure 0.7218580218332955 [0.536585,0.526316,0.913043,0.930233] f_measure 0.7527910685805422 [0.619048,0.526316,0.954545,0.909091] f_measure 0.6635089667096075 [0.285714,0.541667,0.897959,0.930233] kappa 0.7179203539823007 kappa 0.6388991503509419 kappa 0.6393654307323371 kappa 0.6540880503144654 kappa 0.6228508042151969 kappa 0.7642381656804733 kappa 0.6824796824796825 kappa 0.6510574018126889 kappa 0.6826596146581034 kappa 0.6028744326777609 kb_relative_information_score 0.745331194695692 kb_relative_information_score 0.6747201312480613 kb_relative_information_score 0.6749803371996909 kb_relative_information_score 0.6879067172649745 kb_relative_information_score 0.6601041334303417 kb_relative_information_score 0.787125985850588 kb_relative_information_score 0.7132147429191162 kb_relative_information_score 0.6854651748366932 kb_relative_information_score 0.7142799746040228 kb_relative_information_score 0.6418964626790902 mean_absolute_error 0.10588235294117647 mean_absolute_error 0.13529411764705881 mean_absolute_error 0.13529411764705881 mean_absolute_error 0.12941176470588237 mean_absolute_error 0.1411764705882353 mean_absolute_error 0.08823529411764706 mean_absolute_error 0.11904761904761904 mean_absolute_error 0.13095238095238096 mean_absolute_error 0.11904761904761904 mean_absolute_error 0.1488095238095238 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 0.7860566448801742 [0.666667,0.727273,1,0.740741] precision 0.7176986031870942 [0.615385,0.52,0.875,0.869565] precision 0.712003410059676 [0.555556,0.55,0.913043,0.833333] precision 0.7473755390719338 [0.714286,0.580645,0.84,0.863636] precision 0.6947996589940324 [0.5,0.5,0.916667,0.869565] precision 0.8690856777493606 [1,0.65625,0.956522,0.869565] precision 0.7808390022675736 [0.7,0.545455,1,0.904762] precision 0.715727233685236 [0.578947,0.588235,0.84,0.869565] precision 0.7502334267040149 [0.619048,0.588235,0.954545,0.833333] precision 0.6836707307721801 [0.571429,0.481481,0.814815,0.869565] predictive_accuracy 0.7882352941176471 predictive_accuracy 0.7294117647058823 predictive_accuracy 0.7294117647058823 predictive_accuracy 0.7411764705882353 predictive_accuracy 0.7176470588235294 predictive_accuracy 0.823529411764706 predictive_accuracy 0.7619047619047619 predictive_accuracy 0.7380952380952381 predictive_accuracy 0.7619047619047619 predictive_accuracy 0.7023809523809524 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 0.788235294117647 [0.47619,0.727273,0.954545,1] recall 0.7294117647058823 [0.380952,0.590909,0.954545,1] recall 0.7294117647058823 [0.47619,0.5,0.954545,1] recall 0.7411764705882353 [0.238095,0.818182,0.954545,0.95] recall 0.7176470588235294 [0.190476,0.681818,1,1] recall 0.8235294117647058 [0.333333,0.954545,1,1] recall 0.7619047619047619 [0.318182,0.818182,0.952381,1] recall 0.7380952380952381 [0.5,0.47619,1,1] recall 0.7619047619047619 [0.619048,0.47619,0.954545,1] recall 0.7023809523809523 [0.190476,0.619048,1,1] relative_absolute_error 0.28248066022930773 relative_absolute_error 0.3609475102930043 relative_absolute_error 0.3609475102930043 relative_absolute_error 0.345254140280265 relative_absolute_error 0.3766408803057436 relative_absolute_error 0.2354005501910898 relative_absolute_error 0.31764420112483405 relative_absolute_error 0.3492911444421614 relative_absolute_error 0.3175729950869588 relative_absolute_error 0.39696624385869855 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 0.32539568672798425 root_mean_squared_error 0.36782348707914075 root_mean_squared_error 0.36782348707914075 root_mean_squared_error 0.3597384670922507 root_mean_squared_error 0.37573457465108967 root_mean_squared_error 0.2970442628930023 root_mean_squared_error 0.3450327796711771 root_mean_squared_error 0.36187343222787294 root_mean_squared_error 0.3450327796711771 root_mean_squared_error 0.3857583749052298 root_relative_squared_error 0.7516501913587222 root_relative_squared_error 0.8496566049456846 root_relative_squared_error 0.8496566049456846 root_relative_squared_error 0.8309805527785729 root_relative_squared_error 0.8679308806347841 root_relative_squared_error 0.6861596086004116 root_relative_squared_error 0.7971121411074134 root_relative_squared_error 0.8357371870999702 root_relative_squared_error 0.7969334452261931 root_relative_squared_error 0.8909986785344366 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 35.23293600301258 usercpu_time_millis 34.31253200687934 usercpu_time_millis 33.87649399519432 usercpu_time_millis 33.75801599759143 usercpu_time_millis 34.32235500076786 usercpu_time_millis 34.30000500520691 usercpu_time_millis 34.49574600381311 usercpu_time_millis 33.73711300082505 usercpu_time_millis 34.27144298620988 usercpu_time_millis 34.21797600458376 usercpu_time_millis_testing 2.9948599985800683 usercpu_time_millis_testing 2.956208001705818 usercpu_time_millis_testing 2.923487001680769 usercpu_time_millis_testing 2.936536999186501 usercpu_time_millis_testing 2.917200996307656 usercpu_time_millis_testing 2.9468440043274313 usercpu_time_millis_testing 2.863551999325864 usercpu_time_millis_testing 2.8463700000429526 usercpu_time_millis_testing 2.92483699740842 usercpu_time_millis_testing 2.866333001293242 usercpu_time_millis_training 32.238076004432514 usercpu_time_millis_training 31.35632400517352 usercpu_time_millis_training 30.953006993513554 usercpu_time_millis_training 30.821478998404928 usercpu_time_millis_training 31.4051540044602 usercpu_time_millis_training 31.35316100087948 usercpu_time_millis_training 31.632194004487246 usercpu_time_millis_training 30.890743000782095 usercpu_time_millis_training 31.346605988801457 usercpu_time_millis_training 31.35164300329052 wall_clock_time_millis 51.24950408935547 wall_clock_time_millis 34.3928337097168 wall_clock_time_millis 33.898115158081055 wall_clock_time_millis 33.777713775634766 wall_clock_time_millis 34.340858459472656 wall_clock_time_millis 34.32059288024902 wall_clock_time_millis 34.516096115112305 wall_clock_time_millis 33.77103805541992 wall_clock_time_millis 34.30461883544922 wall_clock_time_millis 50.25124549865723 wall_clock_time_millis_testing 3.004789352416992 wall_clock_time_millis_testing 2.966165542602539 wall_clock_time_millis_testing 2.9349327087402344 wall_clock_time_millis_testing 2.9463768005371094 wall_clock_time_millis_testing 2.927541732788086 wall_clock_time_millis_testing 2.9573440551757812 wall_clock_time_millis_testing 2.874135971069336 wall_clock_time_millis_testing 2.8569698333740234 wall_clock_time_millis_testing 2.9354095458984375 wall_clock_time_millis_testing 2.8753280639648438 wall_clock_time_millis_training 48.24471473693848 wall_clock_time_millis_training 31.426668167114258 wall_clock_time_millis_training 30.96318244934082 wall_clock_time_millis_training 30.831336975097656 wall_clock_time_millis_training 31.41331672668457 wall_clock_time_millis_training 31.363248825073242 wall_clock_time_millis_training 31.64196014404297 wall_clock_time_millis_training 30.9140682220459 wall_clock_time_millis_training 31.36920928955078 wall_clock_time_millis_training 47.37591743469238