10327481 8323 Heinrich Peters 16 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8183147 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 0.10358044072810794 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.1587816891292324 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 1.4548783448559142 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 55945 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. 16 mfeat-karhunen https://www.openml.org/data/download/16/dataset_16_mfeat-karhunen.arff -1 21576648 description https://api.openml.org/data/download/21576648/description.xml -1 21576649 predictions https://api.openml.org/data/download/21576649/predictions.arff area_under_roc_curve 0.9655555555555556 [0.970278,0.967222,0.9675,0.974444,0.975,0.936389,0.957222,0.987222,0.946389,0.973889] average_cost 0 f_measure 0.9403462162002186 [0.825996,0.944724,0.966408,0.950249,0.974359,0.923483,0.953125,0.984848,0.934726,0.945545] kappa 0.931111111111111 kb_relative_information_score 0.9351630355852403 mean_absolute_error 0.012399999999999972 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.9487764233857016 [0.711191,0.949495,1,0.945545,1,0.977654,0.994565,0.994898,0.978142,0.936275] predictive_accuracy 0.938 prior_entropy 3.3219280948872383 recall 0.938 [0.985,0.94,0.935,0.955,0.95,0.875,0.915,0.975,0.895,0.955] relative_absolute_error 0.06888888888888661 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.11135528725660031 root_relative_squared_error 0.37118429085532867 total_cost 0 area_under_roc_curve 0.9611111111111111 [0.972222,0.972222,0.95,1,1,0.975,0.925,0.975,0.85,0.991667] area_under_roc_curve 0.9638888888888889 [0.975,0.894444,1,0.975,0.95,0.947222,0.975,1,0.95,0.972222] area_under_roc_curve 0.9833333333333334 [0.988889,0.975,0.975,0.972222,1,0.947222,1,0.975,1,1] area_under_roc_curve 0.9694444444444446 [0.980556,0.95,1,0.969444,0.975,0.897222,0.95,1,1,0.972222] area_under_roc_curve 0.9583333333333333 [0.980556,0.997222,0.925,0.916667,0.975,0.947222,0.975,0.972222,0.925,0.969444] area_under_roc_curve 0.9722222222222223 [0.983333,0.972222,0.975,1,0.975,0.95,0.95,1,0.922222,0.994444] area_under_roc_curve 0.9638888888888889 [0.952778,0.994444,0.975,0.969444,0.95,0.9,0.975,1,0.947222,0.975] area_under_roc_curve 0.9638888888888889 [0.955556,0.997222,0.925,1,0.975,0.925,0.975,0.975,0.944444,0.966667] area_under_roc_curve 0.9666666666666666 [0.952778,0.919444,0.975,0.994444,1,0.9,0.975,1,1,0.95] area_under_roc_curve 0.9527777777777777 [0.961111,1,0.975,0.947222,0.95,0.975,0.872222,0.975,0.925,0.947222] 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 0.9318767258593739 [0.8,0.95,0.947368,1,1,0.974359,0.918919,0.974359,0.823529,0.930233] f_measure 0.9374963507670274 [0.816327,0.842105,1,0.974359,0.947368,0.923077,0.974359,1,0.947368,0.95] f_measure 0.9705244755244755 [0.909091,0.974359,0.974359,0.95,1,0.923077,1,0.974359,1,1] f_measure 0.9461853779409019 [0.851064,0.947368,1,0.926829,0.974359,0.864865,0.947368,1,1,0.95] f_measure 0.9263135563810188 [0.851064,0.97561,0.918919,0.85,0.974359,0.923077,0.974359,0.95,0.918919,0.926829] f_measure 0.9510137802700731 [0.869565,0.95,0.974359,1,0.974359,0.947368,0.947368,1,0.894737,0.952381] f_measure 0.9370132015066872 [0.808511,0.952381,0.974359,0.926829,0.947368,0.888889,0.974359,1,0.923077,0.974359] f_measure 0.9367373378295965 [0.826087,0.97561,0.918919,1,0.974359,0.918919,0.974359,0.974359,0.9,0.904762] f_measure 0.9417661721133166 [0.808511,0.871795,0.974359,0.952381,1,0.888889,0.974359,1,1,0.947368] f_measure 0.9209592183276394 [0.740741,1,0.974359,0.923077,0.947368,0.974359,0.833333,0.974359,0.918919,0.923077] kappa 0.9222222222222223 kappa 0.9277777777777778 kappa 0.9666666666666667 kappa 0.9388888888888889 kappa 0.9166666666666667 kappa 0.9444444444444444 kappa 0.9277777777777778 kappa 0.9277777777777778 kappa 0.9333333333333332 kappa 0.9055555555555556 kb_relative_information_score 0.9267969756607538 kb_relative_information_score 0.9320257631135571 kb_relative_information_score 0.9686272752831802 kb_relative_information_score 0.9424833380191637 kb_relative_information_score 0.9215681882079505 kb_relative_information_score 0.9477121254719669 kb_relative_information_score 0.9320257631135571 kb_relative_information_score 0.9320257631135571 kb_relative_information_score 0.9372545505663603 kb_relative_information_score 0.9111106133023438 mean_absolute_error 0.014000000000000002 mean_absolute_error 0.013000000000000001 mean_absolute_error 0.006 mean_absolute_error 0.011 mean_absolute_error 0.015000000000000003 mean_absolute_error 0.009999999999999998 mean_absolute_error 0.013000000000000001 mean_absolute_error 0.013000000000000001 mean_absolute_error 0.012 mean_absolute_error 0.017000000000000005 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] precision 0.9486231884057971 [0.666667,0.95,1,1,1,1,1,1,1,0.869565] precision 0.9475912482355313 [0.689655,0.888889,1,1,1,0.947368,1,1,1,0.95] precision 0.9730701754385964 [0.833333,1,1,0.95,1,0.947368,1,1,1,1] precision 0.953667911609088 [0.740741,1,1,0.904762,1,0.941176,1,1,1,0.95] precision 0.9345252018936229 [0.740741,0.952381,1,0.85,1,0.947368,1,0.95,1,0.904762] precision 0.9572766122766123 [0.769231,0.95,1,1,1,1,1,1,0.944444,0.909091] precision 0.9464924938609148 [0.703704,0.909091,1,0.904762,1,1,1,1,0.947368,1] precision 0.9446786546786548 [0.730769,0.952381,1,1,1,1,1,1,0.9,0.863636] precision 0.9507531454899876 [0.703704,0.894737,1,0.909091,1,1,1,1,1,1] precision 0.942047213622291 [0.588235,1,1,0.947368,1,1,0.9375,1,1,0.947368] predictive_accuracy 0.93 predictive_accuracy 0.935 predictive_accuracy 0.97 predictive_accuracy 0.945 predictive_accuracy 0.925 predictive_accuracy 0.95 predictive_accuracy 0.935 predictive_accuracy 0.935 predictive_accuracy 0.94 predictive_accuracy 0.915 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 recall 0.93 [1,0.95,0.9,1,1,0.95,0.85,0.95,0.7,1] recall 0.935 [1,0.8,1,0.95,0.9,0.9,0.95,1,0.9,0.95] recall 0.97 [1,0.95,0.95,0.95,1,0.9,1,0.95,1,1] recall 0.945 [1,0.9,1,0.95,0.95,0.8,0.9,1,1,0.95] recall 0.925 [1,1,0.85,0.85,0.95,0.9,0.95,0.95,0.85,0.95] recall 0.95 [1,0.95,0.95,1,0.95,0.9,0.9,1,0.85,1] recall 0.935 [0.95,1,0.95,0.95,0.9,0.8,0.95,1,0.9,0.95] recall 0.935 [0.95,1,0.85,1,0.95,0.85,0.95,0.95,0.9,0.95] recall 0.94 [0.95,0.85,0.95,1,1,0.8,0.95,1,1,0.9] recall 0.915 [1,1,0.95,0.9,0.9,0.95,0.75,0.95,0.85,0.9] relative_absolute_error 0.07777777777777788 relative_absolute_error 0.0722222222222223 relative_absolute_error 0.03333333333333337 relative_absolute_error 0.06111111111111117 relative_absolute_error 0.08333333333333344 relative_absolute_error 0.055555555555555615 relative_absolute_error 0.0722222222222223 relative_absolute_error 0.0722222222222223 relative_absolute_error 0.06666666666666674 relative_absolute_error 0.09444444444444457 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_squared_error 0.11832159566199232 root_mean_squared_error 0.1140175425099138 root_mean_squared_error 0.07745966692414834 root_mean_squared_error 0.10488088481701516 root_mean_squared_error 0.12247448713915891 root_mean_squared_error 0.09999999999999999 root_mean_squared_error 0.1140175425099138 root_mean_squared_error 0.1140175425099138 root_mean_squared_error 0.10954451150103323 root_mean_squared_error 0.130384048104053 root_relative_squared_error 0.394405318873308 root_relative_squared_error 0.3800584750330463 root_relative_squared_error 0.25819888974716126 root_relative_squared_error 0.34960294939005077 root_relative_squared_error 0.40824829046386335 root_relative_squared_error 0.3333333333333335 root_relative_squared_error 0.3800584750330463 root_relative_squared_error 0.3800584750330463 root_relative_squared_error 0.36514837167011094 root_relative_squared_error 0.4346134936801769 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 816.5776489986456 usercpu_time_millis 777.7558129964746 usercpu_time_millis 778.1252209970262 usercpu_time_millis 780.0772459959262 usercpu_time_millis 785.4514900027425 usercpu_time_millis 768.5914460016647 usercpu_time_millis 774.1938759936602 usercpu_time_millis 771.1160090038902 usercpu_time_millis 782.1319539943943 usercpu_time_millis 782.668874002411 usercpu_time_millis_testing 35.83810800046194 usercpu_time_millis_testing 37.55883599660592 usercpu_time_millis_testing 35.1894529958372 usercpu_time_millis_testing 35.9710949996952 usercpu_time_millis_testing 35.290892999910284 usercpu_time_millis_testing 35.103930000332184 usercpu_time_millis_testing 35.126277995004784 usercpu_time_millis_testing 35.42042600020068 usercpu_time_millis_testing 35.35488799388986 usercpu_time_millis_testing 35.39697599626379 usercpu_time_millis_training 780.7395409981837 usercpu_time_millis_training 740.1969769998686 usercpu_time_millis_training 742.935768001189 usercpu_time_millis_training 744.106150996231 usercpu_time_millis_training 750.1605970028322 usercpu_time_millis_training 733.4875160013326 usercpu_time_millis_training 739.0675979986554 usercpu_time_millis_training 735.6955830036895 usercpu_time_millis_training 746.7770660005044 usercpu_time_millis_training 747.2718980061472 wall_clock_time_millis 816.6635036468506 wall_clock_time_millis 777.8565883636475 wall_clock_time_millis 778.2385349273682 wall_clock_time_millis 780.1516056060791 wall_clock_time_millis 785.524845123291 wall_clock_time_millis 768.6624526977539 wall_clock_time_millis 774.2738723754883 wall_clock_time_millis 771.2733745574951 wall_clock_time_millis 782.2036743164062 wall_clock_time_millis 782.7377319335938 wall_clock_time_millis_testing 35.85195541381836 wall_clock_time_millis_testing 37.57500648498535 wall_clock_time_millis_testing 35.20393371582031 wall_clock_time_millis_testing 35.986900329589844 wall_clock_time_millis_testing 35.30621528625488 wall_clock_time_millis_testing 35.118818283081055 wall_clock_time_millis_testing 35.13932228088379 wall_clock_time_millis_testing 35.43424606323242 wall_clock_time_millis_testing 35.36844253540039 wall_clock_time_millis_testing 35.410404205322266 wall_clock_time_millis_training 780.8115482330322 wall_clock_time_millis_training 740.2815818786621 wall_clock_time_millis_training 743.0346012115479 wall_clock_time_millis_training 744.1647052764893 wall_clock_time_millis_training 750.2186298370361 wall_clock_time_millis_training 733.5436344146729 wall_clock_time_millis_training 739.1345500946045 wall_clock_time_millis_training 735.8391284942627 wall_clock_time_millis_training 746.8352317810059 wall_clock_time_millis_training 747.3273277282715