10328583 8323 Heinrich Peters 14 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8184226 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 7312.229390490552 13389 cache_size 200 13389 class_weight null 13389 coef0 0.21571692311675061 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.0001372729326187754 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 33853 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. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 21578852 description https://api.openml.org/data/download/21578852/description.xml -1 21578853 predictions https://api.openml.org/data/download/21578853/predictions.arff area_under_roc_curve 0.9113888888888889 [1,0.886667,0.960556,0.938056,0.884444,0.953056,0.769167,0.961944,0.983889,0.776111] average_cost 0 f_measure 0.8405264083843194 [1,0.784314,0.943878,0.900763,0.79798,0.917293,0.59335,0.901679,0.974874,0.591133] kappa 0.8227777777777778 kb_relative_information_score 0.8332016802555785 mean_absolute_error 0.031900000000000185 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8411602862001818 [1,0.769231,0.963542,0.917098,0.806122,0.919598,0.60733,0.866359,0.979798,0.582524] predictive_accuracy 0.8405 prior_entropy 3.3219280948872383 recall 0.8405 [1,0.8,0.925,0.885,0.79,0.915,0.58,0.94,0.97,0.6] relative_absolute_error 0.1772222222222178 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.17860571099491804 root_relative_squared_error 0.595352369983051 total_cost 0 area_under_roc_curve 0.9111111111111111 [1,0.955556,0.972222,0.925,0.961111,0.975,0.716667,0.95,1,0.655556] area_under_roc_curve 0.9111111111111111 [1,0.908333,0.925,0.925,0.863889,0.941667,0.761111,0.961111,0.975,0.85] area_under_roc_curve 0.9083333333333334 [1,0.930556,0.975,0.897222,0.933333,0.969444,0.797222,0.897222,0.997222,0.686111] area_under_roc_curve 0.9416666666666668 [1,0.891667,0.975,0.991667,0.963889,0.922222,0.822222,0.922222,0.975,0.952778] area_under_roc_curve 0.8888888888888888 [1,0.833333,0.925,0.913889,0.863889,0.916667,0.725,0.986111,1,0.725] area_under_roc_curve 0.9055555555555556 [1,0.866667,0.947222,0.891667,0.838889,0.966667,0.8,0.994444,1,0.75] area_under_roc_curve 0.9111111111111111 [1,0.869444,0.95,0.997222,0.869444,0.944444,0.777778,0.983333,0.997222,0.722222] area_under_roc_curve 0.9305555555555556 [1,0.886111,0.997222,0.944444,0.847222,0.972222,0.861111,0.991667,0.947222,0.858333] area_under_roc_curve 0.9138888888888889 [1,0.841667,0.997222,0.994444,0.863889,0.95,0.686111,0.991667,1,0.813889] area_under_roc_curve 0.8916666666666666 [1,0.883333,0.941667,0.9,0.838889,0.972222,0.744444,0.941667,0.947222,0.747222] 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 0.8368324816561458 [1,0.826087,0.95,0.918919,0.863636,0.974359,0.47619,0.947368,1,0.411765] f_measure 0.8406739692899647 [1,0.790698,0.918919,0.918919,0.769231,0.878049,0.611111,0.863636,0.974359,0.681818] f_measure 0.8314209194299947 [1,0.8,0.974359,0.864865,0.818182,0.926829,0.604651,0.864865,0.97561,0.484848] f_measure 0.8945874462464203 [1,0.820513,0.974359,0.930233,0.883721,0.894737,0.764706,0.894737,0.974359,0.808511] f_measure 0.7981947895362529 [1,0.7,0.918919,0.829268,0.769231,0.85,0.512821,0.888889,1,0.512821] f_measure 0.8296096009253903 [1,0.789474,0.923077,0.820513,0.736842,0.904762,0.619048,0.952381,1,0.55] f_measure 0.8389774772260679 [1,0.810811,0.947368,0.97561,0.810811,0.9,0.6,0.869565,0.97561,0.5] f_measure 0.8741114359265238 [1,0.780488,0.97561,0.9,0.8,0.95,0.75,0.930233,0.923077,0.731707] f_measure 0.8412172379357754 [1,0.756757,0.97561,0.952381,0.769231,0.947368,0.484848,0.930233,1,0.595745] f_measure 0.8077205129772522 [1,0.761905,0.878049,0.888889,0.736842,0.95,0.52381,0.878049,0.923077,0.536585] kappa 0.8222222222222222 kappa 0.8222222222222222 kappa 0.8166666666666667 kappa 0.8833333333333333 kappa 0.7777777777777778 kappa 0.8111111111111111 kappa 0.8222222222222222 kappa 0.8611111111111112 kappa 0.8277777777777777 kappa 0.7833333333333334 kb_relative_information_score 0.8326788015102943 kb_relative_information_score 0.8326788015102943 kb_relative_information_score 0.827450014057491 kb_relative_information_score 0.8901954634911305 kb_relative_information_score 0.7908485018878679 kb_relative_information_score 0.8222212266046877 kb_relative_information_score 0.8326788015102943 kb_relative_information_score 0.8692803136799173 kb_relative_information_score 0.8379075889630976 kb_relative_information_score 0.7960772893406711 mean_absolute_error 0.032000000000000015 mean_absolute_error 0.032000000000000015 mean_absolute_error 0.033000000000000015 mean_absolute_error 0.021000000000000005 mean_absolute_error 0.040000000000000015 mean_absolute_error 0.034000000000000016 mean_absolute_error 0.032000000000000015 mean_absolute_error 0.02500000000000001 mean_absolute_error 0.031000000000000014 mean_absolute_error 0.03900000000000002 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 0.8426981351981351 [1,0.730769,0.95,1,0.791667,1,0.454545,1,1,0.5] precision 0.8489913642802659 [1,0.73913,1,1,0.789474,0.857143,0.6875,0.791667,1,0.625] precision 0.8390097805008291 [1,0.72,1,0.941176,0.75,0.904762,0.565217,0.941176,0.952381,0.615385] precision 0.905892145823496 [1,0.842105,1,0.869565,0.826087,0.944444,0.928571,0.944444,1,0.703704] precision 0.8001629072681705 [1,0.7,1,0.809524,0.789474,0.85,0.526316,0.8,1,0.526316] precision 0.8314221158958002 [1,0.833333,0.947368,0.842105,0.777778,0.863636,0.590909,0.909091,1,0.55] precision 0.8438698556345615 [1,0.882353,1,0.952381,0.882353,0.9,0.6,0.769231,0.952381,0.5] precision 0.8778838400348699 [1,0.761905,0.952381,0.9,0.933333,0.95,0.75,0.869565,0.947368,0.714286] precision 0.8477943308741531 [1,0.823529,0.952381,0.909091,0.789474,1,0.615385,0.869565,1,0.518519] precision 0.8140514164198375 [1,0.727273,0.857143,1,0.777778,0.95,0.5,0.857143,0.947368,0.52381] predictive_accuracy 0.84 predictive_accuracy 0.84 predictive_accuracy 0.835 predictive_accuracy 0.895 predictive_accuracy 0.8 predictive_accuracy 0.83 predictive_accuracy 0.84 predictive_accuracy 0.875 predictive_accuracy 0.845 predictive_accuracy 0.805 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 0.84 [1,0.95,0.95,0.85,0.95,0.95,0.5,0.9,1,0.35] recall 0.84 [1,0.85,0.85,0.85,0.75,0.9,0.55,0.95,0.95,0.75] recall 0.835 [1,0.9,0.95,0.8,0.9,0.95,0.65,0.8,1,0.4] recall 0.895 [1,0.8,0.95,1,0.95,0.85,0.65,0.85,0.95,0.95] recall 0.8 [1,0.7,0.85,0.85,0.75,0.85,0.5,1,1,0.5] recall 0.83 [1,0.75,0.9,0.8,0.7,0.95,0.65,1,1,0.55] recall 0.84 [1,0.75,0.9,1,0.75,0.9,0.6,1,1,0.5] recall 0.875 [1,0.8,1,0.9,0.7,0.95,0.75,1,0.9,0.75] recall 0.845 [1,0.7,1,1,0.75,0.9,0.4,1,1,0.7] recall 0.805 [1,0.8,0.9,0.8,0.7,0.95,0.55,0.9,0.9,0.55] relative_absolute_error 0.17777777777777806 relative_absolute_error 0.17777777777777806 relative_absolute_error 0.18333333333333365 relative_absolute_error 0.11666666666666682 relative_absolute_error 0.22222222222222257 relative_absolute_error 0.1888888888888892 relative_absolute_error 0.17777777777777806 relative_absolute_error 0.1388888888888891 relative_absolute_error 0.1722222222222225 relative_absolute_error 0.21666666666666703 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 0.1788854381999832 root_mean_squared_error 0.1788854381999832 root_mean_squared_error 0.18165902124584954 root_mean_squared_error 0.1449137674618944 root_mean_squared_error 0.20000000000000004 root_mean_squared_error 0.1843908891458578 root_mean_squared_error 0.1788854381999832 root_mean_squared_error 0.158113883008419 root_mean_squared_error 0.17606816861659014 root_mean_squared_error 0.19748417658131504 root_relative_squared_error 0.5962847939999444 root_relative_squared_error 0.5962847939999444 root_relative_squared_error 0.6055300708194988 root_relative_squared_error 0.48304589153964833 root_relative_squared_error 0.6666666666666672 root_relative_squared_error 0.6146362971528597 root_relative_squared_error 0.5962847939999444 root_relative_squared_error 0.5270462766947304 root_relative_squared_error 0.5868938953886341 root_relative_squared_error 0.6582805886043839 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 283.4635250037536 usercpu_time_millis 282.5312749919249 usercpu_time_millis 279.0524750089389 usercpu_time_millis 278.63086700381245 usercpu_time_millis 280.6313909968594 usercpu_time_millis 270.7724630017765 usercpu_time_millis 273.45792000414804 usercpu_time_millis 281.74845200555865 usercpu_time_millis 285.4651429952355 usercpu_time_millis 276.61625100154197 usercpu_time_millis_testing 28.97434100304963 usercpu_time_millis_testing 29.047919997537974 usercpu_time_millis_testing 28.895464005472604 usercpu_time_millis_testing 29.177652002545074 usercpu_time_millis_testing 27.98532199813053 usercpu_time_millis_testing 27.81217599840602 usercpu_time_millis_testing 29.47226400283398 usercpu_time_millis_testing 29.72334800142562 usercpu_time_millis_testing 30.03970699501224 usercpu_time_millis_testing 28.535479999845847 usercpu_time_millis_training 254.48918400070397 usercpu_time_millis_training 253.4833549943869 usercpu_time_millis_training 250.15701100346632 usercpu_time_millis_training 249.45321500126738 usercpu_time_millis_training 252.64606899872888 usercpu_time_millis_training 242.96028700337047 usercpu_time_millis_training 243.98565600131406 usercpu_time_millis_training 252.02510400413303 usercpu_time_millis_training 255.42543600022327 usercpu_time_millis_training 248.08077100169612 wall_clock_time_millis 315.49620628356934 wall_clock_time_millis 282.6046943664551 wall_clock_time_millis 279.08897399902344 wall_clock_time_millis 290.70091247558594 wall_clock_time_millis 296.66805267333984 wall_clock_time_millis 270.8094120025635 wall_clock_time_millis 345.5047607421875 wall_clock_time_millis 313.8144016265869 wall_clock_time_millis 285.50219535827637 wall_clock_time_millis 472.7013111114502 wall_clock_time_millis_testing 28.98716926574707 wall_clock_time_millis_testing 29.061317443847656 wall_clock_time_millis_testing 28.908252716064453 wall_clock_time_millis_testing 29.1900634765625 wall_clock_time_millis_testing 43.997764587402344 wall_clock_time_millis_testing 27.826547622680664 wall_clock_time_millis_testing 29.48451042175293 wall_clock_time_millis_testing 61.7365837097168 wall_clock_time_millis_testing 30.054569244384766 wall_clock_time_millis_testing 28.549671173095703 wall_clock_time_millis_training 286.50903701782227 wall_clock_time_millis_training 253.54337692260742 wall_clock_time_millis_training 250.18072128295898 wall_clock_time_millis_training 261.51084899902344 wall_clock_time_millis_training 252.6702880859375 wall_clock_time_millis_training 242.9828643798828 wall_clock_time_millis_training 316.02025032043457 wall_clock_time_millis_training 252.07781791687012 wall_clock_time_millis_training 255.4476261138916 wall_clock_time_millis_training 444.1516399383545