10329355 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) 8184975 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 4297.397059178814 13389 cache_size 200 13389 class_weight null 13389 coef0 0.013499300518863278 13389 decision_function_shape "ovr" 13389 degree 5 13389 gamma 0.1820082271280914 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 55618 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 21580407 description https://api.openml.org/data/download/21580407/description.xml -1 21580408 predictions https://api.openml.org/data/download/21580408/predictions.arff area_under_roc_curve 0.86955626058655 [0.769448,0.766142,0.98694,0.960382] average_cost 0 f_measure 0.8062676548226801 [0.649886,0.654206,0.983834,0.944162] kappa 0.7398397924533223 kb_relative_information_score 0.7652117031284834 mean_absolute_error 0.0975177304964539 mean_prior_absolute_error 0.3748407731887084 number_of_instances 846 [212,217,218,199] precision 0.8079953615227239 [0.631111,0.663507,0.990698,0.953846] predictive_accuracy 0.8049645390070921 prior_entropy 1.9990667866719984 recall 0.8049645390070922 [0.669811,0.645161,0.977064,0.934673] relative_absolute_error 0.2601577455592323 root_mean_prior_squared_error 0.4329203297871725 root_mean_squared_error 0.3122782901459112 root_relative_squared_error 0.7213296966197683 total_cost 0 area_under_roc_curve 0.8586233211233212 [0.723214,0.800144,0.977273,0.934615] area_under_roc_curve 0.874496336996337 [0.818452,0.770563,1,0.909615] area_under_roc_curve 0.8583829365079365 [0.779018,0.709235,0.977273,0.975] area_under_roc_curve 0.8818166208791209 [0.746652,0.814935,0.977273,0.992308] area_under_roc_curve 0.8898809523809523 [0.794643,0.79329,1,0.975] area_under_roc_curve 0.9138106684981685 [0.873884,0.8171,0.977273,0.992308] area_under_roc_curve 0.8952892985151051 [0.815249,0.837977,0.992063,0.947368] area_under_roc_curve 0.8159242191500256 [0.653226,0.674603,0.97619,0.975] area_under_roc_curve 0.8573908730158731 [0.738095,0.706349,1,0.984375] area_under_roc_curve 0.8492023489503328 [0.753968,0.730159,0.991935,0.917188] 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 0.789240033481641 [0.585366,0.695652,0.976744,0.9] f_measure 0.8121870286576169 [0.711111,0.666667,1,0.871795] f_measure 0.7910897920652277 [0.652174,0.571429,0.976744,0.974359] f_measure 0.8217300993299371 [0.631579,0.708333,0.976744,0.97561] f_measure 0.8371082178195721 [0.681818,0.697674,1,0.974359] f_measure 0.8698276449843544 [0.782609,0.75,0.976744,0.97561] f_measure 0.8461701734957549 [0.727273,0.755556,0.976744,0.944444] f_measure 0.7318419758011364 [0.488889,0.511628,0.97561,0.974359] f_measure 0.78085056324259 [0.604651,0.564103,1,0.952381] f_measure 0.7746727930938457 [0.622222,0.6,0.977778,0.894737] kappa 0.7174515235457065 kappa 0.7489385268598855 kappa 0.7176079734219268 kappa 0.7644994458810491 kappa 0.7802806499261447 kappa 0.8275544079675397 kappa 0.7932209808748343 kappa 0.6346444780635401 kappa 0.7142857142857143 kappa 0.6981274825042558 kb_relative_information_score 0.7446048475376377 kb_relative_information_score 0.7727469114691964 kb_relative_information_score 0.7454884330199246 kb_relative_information_score 0.7878019151449225 kb_relative_information_score 0.8017437046014657 kb_relative_information_score 0.8448632189966129 kb_relative_information_score 0.8130681129837198 kb_relative_information_score 0.6707607154583424 kb_relative_information_score 0.7427235378116005 kb_relative_information_score 0.7271233968592496 mean_absolute_error 0.10588235294117647 mean_absolute_error 0.09411764705882353 mean_absolute_error 0.10588235294117647 mean_absolute_error 0.08823529411764706 mean_absolute_error 0.08235294117647059 mean_absolute_error 0.06470588235294118 mean_absolute_error 0.07738095238095238 mean_absolute_error 0.13690476190476192 mean_absolute_error 0.10714285714285714 mean_absolute_error 0.1130952380952381 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 0.7913725490196079 [0.6,0.666667,1,0.9] precision 0.8152321981424149 [0.666667,0.7,1,0.894737] precision 0.7976470588235294 [0.6,0.6,1,1] precision 0.8265383981646957 [0.705882,0.653846,1,0.952381] precision 0.84011691633175 [0.652174,0.714286,1,1] precision 0.8764817927170869 [0.72,0.833333,1,0.952381] precision 0.8488848108413326 [0.727273,0.73913,0.954545,1] precision 0.7383540372670807 [0.478261,0.5,1,1] precision 0.7788600288600288 [0.590909,0.611111,1,0.909091] precision 0.7791133933868488 [0.583333,0.631579,0.956522,0.944444] predictive_accuracy 0.7882352941176471 predictive_accuracy 0.8117647058823529 predictive_accuracy 0.7882352941176471 predictive_accuracy 0.823529411764706 predictive_accuracy 0.8352941176470589 predictive_accuracy 0.8705882352941177 predictive_accuracy 0.8452380952380952 predictive_accuracy 0.7261904761904762 predictive_accuracy 0.7857142857142857 predictive_accuracy 0.7738095238095238 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 [0.571429,0.727273,0.954545,0.9] recall 0.8117647058823529 [0.761905,0.636364,1,0.85] recall 0.788235294117647 [0.714286,0.545455,0.954545,0.95] recall 0.8235294117647058 [0.571429,0.772727,0.954545,1] recall 0.8352941176470589 [0.714286,0.681818,1,0.95] recall 0.8705882352941177 [0.857143,0.681818,0.954545,1] recall 0.8452380952380952 [0.727273,0.772727,1,0.894737] recall 0.7261904761904762 [0.5,0.52381,0.952381,0.95] recall 0.7857142857142857 [0.619048,0.52381,1,1] recall 0.7738095238095238 [0.666667,0.571429,1,0.85] relative_absolute_error 0.28248066022930773 relative_absolute_error 0.2510939202038291 relative_absolute_error 0.28248066022930773 relative_absolute_error 0.2354005501910898 relative_absolute_error 0.21970718017835045 relative_absolute_error 0.1726270701401325 relative_absolute_error 0.20646873073114214 relative_absolute_error 0.3651680146440778 relative_absolute_error 0.2858156955782629 relative_absolute_error 0.3016943453326109 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 0.3067859955389482 root_mean_squared_error 0.32539568672798425 root_mean_squared_error 0.2970442628930023 root_mean_squared_error 0.2869720215917757 root_mean_squared_error 0.25437350953458415 root_mean_squared_error 0.2781743201320934 root_mean_squared_error 0.37000643495047747 root_mean_squared_error 0.32732683535398854 root_mean_squared_error 0.33629635456727464 root_relative_squared_error 0.7516501913587222 root_relative_squared_error 0.7086625965198915 root_relative_squared_error 0.7516501913587222 root_relative_squared_error 0.6861596086004116 root_relative_squared_error 0.6628931597497634 root_relative_squared_error 0.5875919839038747 root_relative_squared_error 0.6426523535906091 root_relative_squared_error 0.854520143273956 root_relative_squared_error 0.7560374491439432 root_relative_squared_error 0.7767546397119783 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 64.35259099816903 usercpu_time_millis 64.56323100428563 usercpu_time_millis 62.66821100143716 usercpu_time_millis 65.54382400645409 usercpu_time_millis 64.68872100231238 usercpu_time_millis 65.26293999922927 usercpu_time_millis 64.12599098985083 usercpu_time_millis 63.24942300852854 usercpu_time_millis 64.50169600429945 usercpu_time_millis 65.52803399972618 usercpu_time_millis_testing 4.163698002230376 usercpu_time_millis_testing 4.258382992702536 usercpu_time_millis_testing 4.086928005563095 usercpu_time_millis_testing 4.1606890008552 usercpu_time_millis_testing 4.12164100271184 usercpu_time_millis_testing 4.108918001293205 usercpu_time_millis_testing 4.084715998033062 usercpu_time_millis_testing 4.147323008510284 usercpu_time_millis_testing 4.069786999025382 usercpu_time_millis_testing 4.292180004995316 usercpu_time_millis_training 60.18889299593866 usercpu_time_millis_training 60.30484801158309 usercpu_time_millis_training 58.58128299587406 usercpu_time_millis_training 61.38313500559889 usercpu_time_millis_training 60.56707999960054 usercpu_time_millis_training 61.15402199793607 usercpu_time_millis_training 60.04127499181777 usercpu_time_millis_training 59.102100000018254 usercpu_time_millis_training 60.431909005274065 usercpu_time_millis_training 61.23585399473086 wall_clock_time_millis 76.37381553649902 wall_clock_time_millis 64.67437744140625 wall_clock_time_millis 62.68668174743652 wall_clock_time_millis 65.63401222229004 wall_clock_time_millis 64.70918655395508 wall_clock_time_millis 65.34004211425781 wall_clock_time_millis 64.15414810180664 wall_clock_time_millis 63.26770782470703 wall_clock_time_millis 64.53227996826172 wall_clock_time_millis 65.57512283325195 wall_clock_time_millis_testing 4.170894622802734 wall_clock_time_millis_testing 4.265785217285156 wall_clock_time_millis_testing 4.094362258911133 wall_clock_time_millis_testing 4.168272018432617 wall_clock_time_millis_testing 4.128456115722656 wall_clock_time_millis_testing 4.116296768188477 wall_clock_time_millis_testing 4.091739654541016 wall_clock_time_millis_testing 4.155397415161133 wall_clock_time_millis_testing 4.077911376953125 wall_clock_time_millis_testing 4.300594329833984 wall_clock_time_millis_training 72.20292091369629 wall_clock_time_millis_training 60.408592224121094 wall_clock_time_millis_training 58.59231948852539 wall_clock_time_millis_training 61.46574020385742 wall_clock_time_millis_training 60.58073043823242 wall_clock_time_millis_training 61.223745346069336 wall_clock_time_millis_training 60.062408447265625 wall_clock_time_millis_training 59.1123104095459 wall_clock_time_millis_training 60.454368591308594 wall_clock_time_millis_training 61.27452850341797