10329356 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) 8184976 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 4.6521870291674965 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.2115772105392888 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 0.1618086969775427 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 2926 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 21580409 description https://api.openml.org/data/download/21580409/description.xml -1 21580410 predictions https://api.openml.org/data/download/21580410/predictions.arff area_under_roc_curve 0.8742713568745555 [0.762403,0.779091,0.988437,0.972172] average_cost 0 f_measure 0.8118209141666162 [0.645933,0.669704,0.983908,0.955] kappa 0.7493053031785525 kb_relative_information_score 0.7738469637201106 mean_absolute_error 0.09397163120567376 mean_prior_absolute_error 0.3748407731887084 number_of_instances 846 [212,217,218,199] precision 0.8117102903391374 [0.65534,0.662162,0.986175,0.950249] predictive_accuracy 0.8120567375886525 prior_entropy 1.9990667866719984 recall 0.8120567375886525 [0.636792,0.677419,0.981651,0.959799] relative_absolute_error 0.25069746390253295 root_mean_prior_squared_error 0.4329203297871725 root_mean_squared_error 0.3065479264416475 root_relative_squared_error 0.7080931648378566 total_cost 0 area_under_roc_curve 0.8824328449328449 [0.770833,0.823954,0.977273,0.959615] area_under_roc_curve 0.8664358211233212 [0.778646,0.75469,1,0.934615] area_under_roc_curve 0.8504426129426128 [0.699405,0.761544,0.977273,0.967308] area_under_roc_curve 0.8816926129426128 [0.730655,0.806999,1,0.992308] area_under_roc_curve 0.8898809523809523 [0.794643,0.79329,1,0.975] area_under_roc_curve 0.8901251526251526 [0.818452,0.778499,0.977273,0.992308] area_under_roc_curve 0.8952892985151051 [0.800587,0.829912,0.992063,0.973684] area_under_roc_curve 0.8721198156682026 [0.76173,0.769841,0.968254,1] area_under_roc_curve 0.8653273809523809 [0.730159,0.746032,1,0.984375] area_under_roc_curve 0.8492023489503328 [0.738095,0.722222,0.991935,0.942187] 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 0.8243702245503988 [0.651163,0.744186,0.976744,0.926829] f_measure 0.8 [0.666667,0.636364,1,0.9] f_measure 0.777422650406031 [0.55,0.638298,0.976744,0.95] f_measure 0.8189509950321592 [0.611111,0.693878,1,0.97561] f_measure 0.8371082178195721 [0.681818,0.697674,1,0.974359] f_measure 0.8348034210848264 [0.711111,0.682927,0.976744,0.97561] f_measure 0.8449198770591231 [0.714286,0.73913,0.976744,0.972973] f_measure 0.8095238095238095 [0.651163,0.651163,0.952381,1] f_measure 0.7934240362811791 [0.6,0.619048,1,0.952381] f_measure 0.7733691299771844 [0.604651,0.585366,0.977778,0.923077] kappa 0.7647167374054253 kappa 0.7331979320531758 kappa 0.7016992981159956 kappa 0.7644124168514412 kappa 0.7802806499261447 kappa 0.7804833056631618 kappa 0.7933383800151399 kappa 0.7459837459837461 kappa 0.7301587301587302 kappa 0.6981845688350984 kb_relative_information_score 0.7875688445417104 kb_relative_information_score 0.7589098105732084 kb_relative_information_score 0.7308978496174647 kb_relative_information_score 0.7876463977538479 kb_relative_information_score 0.8017437046014657 kb_relative_information_score 0.8023924985473825 kb_relative_information_score 0.8134357160963305 kb_relative_information_score 0.7712731052308058 kb_relative_information_score 0.7568265514113094 kb_relative_information_score 0.7274908155642211 mean_absolute_error 0.08823529411764706 mean_absolute_error 0.1 mean_absolute_error 0.11176470588235295 mean_absolute_error 0.08823529411764706 mean_absolute_error 0.08235294117647059 mean_absolute_error 0.08235294117647059 mean_absolute_error 0.07738095238095238 mean_absolute_error 0.09523809523809523 mean_absolute_error 0.10119047619047619 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 0.8261268143621083 [0.636364,0.761905,1,0.904762] precision 0.8 [0.666667,0.636364,1,0.9] precision 0.7806811145510835 [0.578947,0.6,1,0.95] precision 0.8270525988173048 [0.733333,0.62963,1,0.952381] precision 0.84011691633175 [0.652174,0.714286,1,1] precision 0.8383311219224532 [0.666667,0.736842,1,0.952381] precision 0.8467712842712842 [0.75,0.708333,0.954545,1] precision 0.8098845598845599 [0.666667,0.636364,0.952381,1] precision 0.7910116199589884 [0.631579,0.619048,1,0.909091] precision 0.7738087808453942 [0.590909,0.6,0.956522,0.947368] predictive_accuracy 0.823529411764706 predictive_accuracy 0.8 predictive_accuracy 0.776470588235294 predictive_accuracy 0.823529411764706 predictive_accuracy 0.8352941176470589 predictive_accuracy 0.8352941176470589 predictive_accuracy 0.8452380952380952 predictive_accuracy 0.8095238095238095 predictive_accuracy 0.7976190476190476 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 0.8235294117647058 [0.666667,0.727273,0.954545,0.95] recall 0.8 [0.666667,0.636364,1,0.9] recall 0.7764705882352941 [0.52381,0.681818,0.954545,0.95] recall 0.8235294117647058 [0.52381,0.772727,1,1] recall 0.8352941176470589 [0.714286,0.681818,1,0.95] recall 0.8352941176470589 [0.761905,0.636364,0.954545,1] recall 0.8452380952380952 [0.681818,0.772727,1,0.947368] recall 0.8095238095238095 [0.636364,0.666667,0.952381,1] recall 0.7976190476190477 [0.571429,0.619048,1,1] recall 0.7738095238095238 [0.619048,0.571429,1,0.9] relative_absolute_error 0.2354005501910898 relative_absolute_error 0.2667872902165684 relative_absolute_error 0.2981740302420471 relative_absolute_error 0.2354005501910898 relative_absolute_error 0.21970718017835045 relative_absolute_error 0.21970718017835045 relative_absolute_error 0.20646873073114214 relative_absolute_error 0.2540299232306628 relative_absolute_error 0.26993704582391503 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 0.2970442628930023 root_mean_squared_error 0.31622776601683794 root_mean_squared_error 0.33431228796194873 root_mean_squared_error 0.2970442628930023 root_mean_squared_error 0.2869720215917757 root_mean_squared_error 0.2869720215917757 root_mean_squared_error 0.2781743201320934 root_mean_squared_error 0.3086066999241838 root_mean_squared_error 0.3181045051401759 root_mean_squared_error 0.33629635456727464 root_relative_squared_error 0.6861596086004116 root_relative_squared_error 0.7304726845939957 root_relative_squared_error 0.7722471608243364 root_relative_squared_error 0.6861596086004116 root_relative_squared_error 0.6628931597497634 root_relative_squared_error 0.6628931597497634 root_relative_squared_error 0.6426523535906091 root_relative_squared_error 0.712719067898946 root_relative_squared_error 0.7347363327766473 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 56.949474004795775 usercpu_time_millis 55.14918200788088 usercpu_time_millis 55.338081991067156 usercpu_time_millis 56.00112798856571 usercpu_time_millis 55.46638500527479 usercpu_time_millis 55.29238500457723 usercpu_time_millis 55.36882998421788 usercpu_time_millis 54.309446990373544 usercpu_time_millis 55.05676100437995 usercpu_time_millis 54.97801801539026 usercpu_time_millis_testing 4.559576002066024 usercpu_time_millis_testing 4.205703007755801 usercpu_time_millis_testing 4.243748000590131 usercpu_time_millis_testing 4.298760992242023 usercpu_time_millis_testing 4.241090995492414 usercpu_time_millis_testing 4.206407000310719 usercpu_time_millis_testing 4.1862259968183935 usercpu_time_millis_testing 4.097957003978081 usercpu_time_millis_testing 4.113597009563819 usercpu_time_millis_testing 4.2350120056653395 usercpu_time_millis_training 52.38989800272975 usercpu_time_millis_training 50.94347900012508 usercpu_time_millis_training 51.094333990477026 usercpu_time_millis_training 51.70236699632369 usercpu_time_millis_training 51.225294009782374 usercpu_time_millis_training 51.08597800426651 usercpu_time_millis_training 51.18260398739949 usercpu_time_millis_training 50.21148998639546 usercpu_time_millis_training 50.94316399481613 usercpu_time_millis_training 50.74300600972492 wall_clock_time_millis 72.96061515808105 wall_clock_time_millis 55.16934394836426 wall_clock_time_millis 55.3584098815918 wall_clock_time_millis 56.06579780578613 wall_clock_time_millis 55.501461029052734 wall_clock_time_millis 55.313825607299805 wall_clock_time_millis 55.3889274597168 wall_clock_time_millis 54.36897277832031 wall_clock_time_millis 55.15623092651367 wall_clock_time_millis 55.02724647521973 wall_clock_time_millis_testing 4.567861557006836 wall_clock_time_millis_testing 4.2171478271484375 wall_clock_time_millis_testing 4.253387451171875 wall_clock_time_millis_testing 4.308938980102539 wall_clock_time_millis_testing 4.251956939697266 wall_clock_time_millis_testing 4.218339920043945 wall_clock_time_millis_testing 4.197359085083008 wall_clock_time_millis_testing 4.108905792236328 wall_clock_time_millis_testing 4.124879837036133 wall_clock_time_millis_testing 4.245758056640625 wall_clock_time_millis_training 68.39275360107422 wall_clock_time_millis_training 50.95219612121582 wall_clock_time_millis_training 51.10502243041992 wall_clock_time_millis_training 51.756858825683594 wall_clock_time_millis_training 51.24950408935547 wall_clock_time_millis_training 51.09548568725586 wall_clock_time_millis_training 51.19156837463379 wall_clock_time_millis_training 50.260066986083984 wall_clock_time_millis_training 51.03135108947754 wall_clock_time_millis_training 50.7814884185791