10328536 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) 8184183 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 83.8625216295585 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.29515623135987656 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.2057215156861141 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 43261 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 21578758 description https://api.openml.org/data/download/21578758/description.xml -1 21578759 predictions https://api.openml.org/data/download/21578759/predictions.arff area_under_roc_curve 0.8966666666666667 [0.99,0.9125,0.971944,0.926111,0.900556,0.926944,0.703889,0.948889,0.973889,0.711944] average_cost 0 f_measure 0.8170571981258776 [0.989899,0.729897,0.966752,0.891192,0.857143,0.91689,0.476684,0.90099,0.964467,0.476658] kappa 0.7933333333333332 kb_relative_information_score 0.8054891067557215 mean_absolute_error 0.03720000000000026 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8268625271869579 [1,0.621053,0.989529,0.924731,0.910112,0.988439,0.494624,0.892157,0.979381,0.468599] predictive_accuracy 0.8140000000000001 prior_entropy 3.3219280948872383 recall 0.814 [0.98,0.885,0.945,0.86,0.81,0.855,0.46,0.91,0.95,0.485] relative_absolute_error 0.20666666666666175 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.19287301521985978 root_relative_squared_error 0.642910050732856 total_cost 0 area_under_roc_curve 0.8972222222222223 [0.975,0.966667,0.975,0.925,0.944444,0.975,0.627778,0.822222,0.997222,0.763889] area_under_roc_curve 0.888888888888889 [1,0.875,0.975,0.866667,0.872222,0.947222,0.7,0.988889,0.947222,0.716667] area_under_roc_curve 0.9055555555555554 [0.975,0.916667,1,0.925,0.941667,0.9,0.747222,0.947222,1,0.702778] area_under_roc_curve 0.9333333333333331 [0.975,0.933333,0.975,0.966667,0.994444,0.95,0.852778,0.947222,0.975,0.763889] area_under_roc_curve 0.8777777777777778 [1,0.844444,0.95,0.916667,0.875,0.9,0.644444,0.963889,1,0.683333] area_under_roc_curve 0.9111111111111111 [1,0.897222,0.997222,0.872222,0.919444,0.922222,0.777778,0.994444,1,0.730556] area_under_roc_curve 0.8805555555555555 [0.975,0.905556,0.95,0.944444,0.869444,0.825,0.725,0.969444,0.997222,0.644444] area_under_roc_curve 0.9 [1,0.925,0.972222,1,0.844444,0.975,0.719444,0.941667,0.925,0.697222] area_under_roc_curve 0.9055555555555556 [1,0.925,1,0.972222,0.9,0.9,0.602778,0.997222,1,0.758333] area_under_roc_curve 0.8666666666666666 [1,0.936111,0.925,0.872222,0.844444,0.975,0.641667,0.916667,0.897222,0.658333] 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 0.8137816759481034 [0.974359,0.769231,0.974359,0.918919,0.9,0.974359,0.352941,0.764706,0.97561,0.533333] f_measure 0.8013396544975491 [1,0.711111,0.974359,0.789474,0.833333,0.923077,0.473684,0.909091,0.923077,0.47619] f_measure 0.8326364338071656 [0.974359,0.72,1,0.918919,0.878049,0.888889,0.536585,0.923077,1,0.486486] f_measure 0.8795092789707232 [0.974359,0.818182,0.974359,0.904762,0.952381,0.947368,0.697674,0.923077,0.974359,0.628571] f_measure 0.7856806972082901 [1,0.652174,0.947368,0.85,0.857143,0.888889,0.368421,0.883721,1,0.409091] f_measure 0.839180055157167 [1,0.723404,0.97561,0.833333,0.871795,0.894737,0.6,0.952381,1,0.540541] f_measure 0.7870764250610207 [0.974359,0.666667,0.947368,0.9,0.810811,0.787879,0.512821,0.926829,0.97561,0.368421] f_measure 0.8214405237939227 [1,0.765957,0.95,1,0.777778,0.974359,0.487805,0.878049,0.918919,0.461538] f_measure 0.8283013581586492 [1,0.765957,1,0.95,0.888889,0.888889,0.30303,0.97561,1,0.510638] f_measure 0.7667302383559514 [1,0.716981,0.918919,0.833333,0.777778,0.974359,0.358974,0.85,0.864865,0.372093] kappa 0.7944444444444444 kappa 0.7777777777777778 kappa 0.8111111111111111 kappa 0.8666666666666667 kappa 0.7555555555555555 kappa 0.8222222222222222 kappa 0.7611111111111112 kappa 0.7999999999999999 kappa 0.8111111111111111 kappa 0.7333333333333334 kb_relative_information_score 0.8065348642462777 kb_relative_information_score 0.7908485018878679 kb_relative_information_score 0.8222212266046877 kb_relative_information_score 0.8745091011327207 kb_relative_information_score 0.7699333520766547 kb_relative_information_score 0.8326788015102943 kb_relative_information_score 0.775162139529458 kb_relative_information_score 0.811763651699081 kb_relative_information_score 0.8222212266046877 kb_relative_information_score 0.7490182022654411 mean_absolute_error 0.03700000000000002 mean_absolute_error 0.040000000000000015 mean_absolute_error 0.034000000000000016 mean_absolute_error 0.024000000000000007 mean_absolute_error 0.044000000000000004 mean_absolute_error 0.032000000000000015 mean_absolute_error 0.04300000000000001 mean_absolute_error 0.03600000000000002 mean_absolute_error 0.034000000000000016 mean_absolute_error 0.04799999999999999 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 0.8314523809523808 [1,0.625,1,1,0.9,1,0.428571,0.928571,0.952381,0.48] precision 0.8093448963317385 [1,0.64,1,0.833333,0.9375,0.947368,0.5,0.833333,0.947368,0.454545] precision 0.8457732566710895 [1,0.6,1,1,0.857143,1,0.52381,0.947368,1,0.529412] precision 0.8855602940156716 [1,0.75,1,0.863636,0.909091,1,0.652174,0.947368,1,0.733333] precision 0.8016898922333704 [1,0.576923,1,0.85,1,1,0.388889,0.826087,1,0.375] precision 0.8456018071768847 [1,0.62963,0.952381,0.9375,0.894737,0.944444,0.6,0.909091,1,0.588235] precision 0.8084112241387783 [1,0.529412,1,0.9,0.882353,1,0.526316,0.904762,0.952381,0.388889] precision 0.8298684210526315 [1,0.666667,0.95,1,0.875,1,0.47619,0.857143,1,0.473684] precision 0.8398107448107447 [1,0.666667,1,0.95,1,1,0.384615,0.952381,1,0.444444] precision 0.7895681185933912 [1,0.575758,1,0.9375,0.875,1,0.368421,0.85,0.941176,0.347826] predictive_accuracy 0.815 predictive_accuracy 0.8 predictive_accuracy 0.83 predictive_accuracy 0.88 predictive_accuracy 0.78 predictive_accuracy 0.84 predictive_accuracy 0.785 predictive_accuracy 0.82 predictive_accuracy 0.83 predictive_accuracy 0.76 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 0.815 [0.95,1,0.95,0.85,0.9,0.95,0.3,0.65,1,0.6] recall 0.8 [1,0.8,0.95,0.75,0.75,0.9,0.45,1,0.9,0.5] recall 0.83 [0.95,0.9,1,0.85,0.9,0.8,0.55,0.9,1,0.45] recall 0.88 [0.95,0.9,0.95,0.95,1,0.9,0.75,0.9,0.95,0.55] recall 0.78 [1,0.75,0.9,0.85,0.75,0.8,0.35,0.95,1,0.45] recall 0.84 [1,0.85,1,0.75,0.85,0.85,0.6,1,1,0.5] recall 0.785 [0.95,0.9,0.9,0.9,0.75,0.65,0.5,0.95,1,0.35] recall 0.82 [1,0.9,0.95,1,0.7,0.95,0.5,0.9,0.85,0.45] recall 0.83 [1,0.9,1,0.95,0.8,0.8,0.25,1,1,0.6] recall 0.76 [1,0.95,0.85,0.75,0.7,0.95,0.35,0.85,0.8,0.4] relative_absolute_error 0.20555555555555588 relative_absolute_error 0.22222222222222257 relative_absolute_error 0.1888888888888892 relative_absolute_error 0.13333333333333353 relative_absolute_error 0.24444444444444474 relative_absolute_error 0.17777777777777806 relative_absolute_error 0.2388888888888892 relative_absolute_error 0.20000000000000032 relative_absolute_error 0.1888888888888892 relative_absolute_error 0.2666666666666669 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 0.19235384061671348 root_mean_squared_error 0.20000000000000004 root_mean_squared_error 0.1843908891458578 root_mean_squared_error 0.1549193338482967 root_mean_squared_error 0.20976176963403032 root_mean_squared_error 0.1788854381999832 root_mean_squared_error 0.20736441353327723 root_mean_squared_error 0.1897366596101028 root_mean_squared_error 0.1843908891458578 root_mean_squared_error 0.21908902300206642 root_relative_squared_error 0.6411794687223786 root_relative_squared_error 0.6666666666666672 root_relative_squared_error 0.6146362971528597 root_relative_squared_error 0.5163977794943226 root_relative_squared_error 0.6992058987801015 root_relative_squared_error 0.5962847939999444 root_relative_squared_error 0.6912147117775912 root_relative_squared_error 0.6324555320336763 root_relative_squared_error 0.6146362971528597 root_relative_squared_error 0.7302967433402218 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 658.6853999979212 usercpu_time_millis 650.2779040019959 usercpu_time_millis 649.5558589958819 usercpu_time_millis 663.4541619932861 usercpu_time_millis 645.9986870031571 usercpu_time_millis 653.618208001717 usercpu_time_millis 654.2204900033539 usercpu_time_millis 651.1217799925362 usercpu_time_millis 644.4319169968367 usercpu_time_millis 637.7323580018128 usercpu_time_millis_testing 41.486946000077296 usercpu_time_millis_testing 39.33670699916547 usercpu_time_millis_testing 38.940209000429604 usercpu_time_millis_testing 37.23276199889369 usercpu_time_millis_testing 37.3868320020847 usercpu_time_millis_testing 37.544295002589934 usercpu_time_millis_testing 37.36253200622741 usercpu_time_millis_testing 36.82823699637083 usercpu_time_millis_testing 37.200603997916915 usercpu_time_millis_testing 36.97629299858818 usercpu_time_millis_training 617.1984539978439 usercpu_time_millis_training 610.9411970028304 usercpu_time_millis_training 610.6156499954523 usercpu_time_millis_training 626.2213999943924 usercpu_time_millis_training 608.6118550010724 usercpu_time_millis_training 616.0739129991271 usercpu_time_millis_training 616.8579579971265 usercpu_time_millis_training 614.2935429961653 usercpu_time_millis_training 607.2313129989197 usercpu_time_millis_training 600.7560650032246 wall_clock_time_millis 674.7558116912842 wall_clock_time_millis 650.3710746765137 wall_clock_time_millis 649.6198177337646 wall_clock_time_millis 663.5184288024902 wall_clock_time_millis 646.0614204406738 wall_clock_time_millis 653.6843776702881 wall_clock_time_millis 654.2954444885254 wall_clock_time_millis 651.1824131011963 wall_clock_time_millis 644.5262432098389 wall_clock_time_millis 637.8114223480225 wall_clock_time_millis_testing 41.50056838989258 wall_clock_time_millis_testing 39.3524169921875 wall_clock_time_millis_testing 38.95425796508789 wall_clock_time_millis_testing 37.2471809387207 wall_clock_time_millis_testing 37.40119934082031 wall_clock_time_millis_testing 37.56070137023926 wall_clock_time_millis_testing 37.37759590148926 wall_clock_time_millis_testing 36.84258460998535 wall_clock_time_millis_testing 37.217140197753906 wall_clock_time_millis_testing 36.99135780334473 wall_clock_time_millis_training 633.2552433013916 wall_clock_time_millis_training 611.0186576843262 wall_clock_time_millis_training 610.6655597686768 wall_clock_time_millis_training 626.2712478637695 wall_clock_time_millis_training 608.6602210998535 wall_clock_time_millis_training 616.1236763000488 wall_clock_time_millis_training 616.9178485870361 wall_clock_time_millis_training 614.3398284912109 wall_clock_time_millis_training 607.309103012085 wall_clock_time_millis_training 600.8200645446777