10328514 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) 8184161 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 39.92814436542338 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.05036976905345906 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 27567 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 21578714 description https://api.openml.org/data/download/21578714/description.xml -1 21578715 predictions https://api.openml.org/data/download/21578715/predictions.arff area_under_roc_curve 0.886111111111111 [0.9775,0.858611,0.956389,0.907778,0.919167,0.961667,0.699167,0.911944,0.981667,0.687222] average_cost 0 f_measure 0.7931811913893716 [0.976982,0.775726,0.945736,0.863874,0.780488,0.852679,0.463104,0.846348,0.974747,0.452128] kappa 0.7722222222222223 kb_relative_information_score 0.7856197144350705 mean_absolute_error 0.041000000000000314 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7969731483839001 [1,0.821229,0.97861,0.906593,0.701195,0.770161,0.471503,0.852792,0.984694,0.482955] predictive_accuracy 0.795 prior_entropy 3.3219280948872383 recall 0.795 [0.955,0.735,0.915,0.825,0.88,0.955,0.455,0.84,0.965,0.425] relative_absolute_error 0.22777777777777253 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.20248456731316664 root_relative_squared_error 0.6749485577105452 total_cost 0 area_under_roc_curve 0.8666666666666666 [0.975,0.897222,0.947222,0.875,0.897222,0.966667,0.619444,0.794444,0.997222,0.697222] area_under_roc_curve 0.886111111111111 [0.975,0.816667,0.975,0.941667,0.897222,0.936111,0.675,0.919444,0.975,0.75] area_under_roc_curve 0.8833333333333333 [0.95,0.836111,0.95,0.869444,0.972222,0.963889,0.719444,0.894444,0.975,0.702778] area_under_roc_curve 0.9027777777777776 [1,0.797222,0.95,0.941667,0.947222,0.961111,0.847222,0.894444,0.975,0.713889] area_under_roc_curve 0.8666666666666666 [0.975,0.786111,0.95,0.869444,0.936111,0.983333,0.669444,0.858333,1,0.638889] area_under_roc_curve 0.8916666666666667 [1,0.95,1,0.85,0.902778,0.944444,0.627778,0.969444,1,0.672222] area_under_roc_curve 0.8916666666666666 [0.925,0.869444,0.95,0.941667,0.888889,0.95,0.822222,0.961111,0.997222,0.611111] area_under_roc_curve 0.9083333333333333 [1,0.9,0.972222,0.897222,0.936111,0.988889,0.769444,0.941667,0.975,0.702778] area_under_roc_curve 0.9138888888888889 [1,0.869444,0.975,0.969444,0.966667,0.966667,0.608333,0.994444,1,0.788889] area_under_roc_curve 0.8500000000000001 [0.975,0.863889,0.894444,0.922222,0.847222,0.955556,0.633333,0.891667,0.922222,0.594444] 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 0.757350406488048 [0.974359,0.723404,0.923077,0.857143,0.723404,0.904762,0.324324,0.705882,0.97561,0.461538] f_measure 0.7938188787658984 [0.974359,0.722222,0.974359,0.878049,0.723404,0.837209,0.432432,0.871795,0.974359,0.55] f_measure 0.7897972903149486 [0.947368,0.717949,0.947368,0.810811,0.8,0.883721,0.487805,0.842105,0.974359,0.486486] f_measure 0.8220421946169241 [1,0.727273,0.947368,0.878049,0.77551,0.863636,0.666667,0.842105,0.974359,0.545455] f_measure 0.7579925101917532 [0.974359,0.648649,0.947368,0.810811,0.837209,0.869565,0.410256,0.731707,1,0.35] f_measure 0.7987276464715113 [1,0.947368,1,0.823529,0.755556,0.76,0.352941,0.926829,1,0.421053] f_measure 0.7955756687367725 [0.918919,0.810811,0.947368,0.878049,0.8,0.791667,0.636364,0.863636,0.97561,0.333333] f_measure 0.834708774138723 [1,0.888889,0.95,0.864865,0.837209,0.909091,0.55814,0.878049,0.974359,0.486486] f_measure 0.8361701851832869 [1,0.810811,0.974359,0.926829,0.904762,0.904762,0.322581,0.952381,1,0.565217] f_measure 0.7299546245770502 [0.974359,0.769231,0.842105,0.894737,0.666667,0.826087,0.333333,0.820513,0.894737,0.277778] kappa 0.7333333333333334 kappa 0.7722222222222223 kappa 0.7666666666666667 kappa 0.8055555555555555 kappa 0.7333333333333334 kappa 0.7833333333333334 kappa 0.7833333333333334 kappa 0.8166666666666667 kappa 0.8277777777777777 kappa 0.7 kb_relative_information_score 0.7490182022654411 kb_relative_information_score 0.7856197144350645 kb_relative_information_score 0.7803909269822613 kb_relative_information_score 0.8169924391518844 kb_relative_information_score 0.7490182022654411 kb_relative_information_score 0.7960772893406711 kb_relative_information_score 0.7960772893406711 kb_relative_information_score 0.827450014057491 kb_relative_information_score 0.8379075889630976 kb_relative_information_score 0.7176454775486207 mean_absolute_error 0.04799999999999999 mean_absolute_error 0.041000000000000016 mean_absolute_error 0.04200000000000001 mean_absolute_error 0.03500000000000002 mean_absolute_error 0.04799999999999999 mean_absolute_error 0.03900000000000002 mean_absolute_error 0.03900000000000002 mean_absolute_error 0.033000000000000015 mean_absolute_error 0.031000000000000014 mean_absolute_error 0.053999999999999965 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 0.7706413240468968 [1,0.62963,0.947368,1,0.62963,0.863636,0.352941,0.857143,0.952381,0.473684] precision 0.7997206259824041 [1,0.8125,1,0.857143,0.62963,0.782609,0.470588,0.894737,1,0.55] precision 0.8006439799413282 [1,0.736842,1,0.882353,0.666667,0.826087,0.47619,0.888889,1,0.529412] precision 0.840825544187613 [1,0.923077,1,0.857143,0.655172,0.791667,0.6,0.888889,1,0.692308] precision 0.7625413104865253 [1,0.705882,1,0.882353,0.782609,0.769231,0.421053,0.714286,1,0.35] precision 0.8091111111111111 [1,1,1,1,0.68,0.633333,0.428571,0.904762,1,0.444444] precision 0.8045448179271709 [1,0.882353,1,0.857143,0.8,0.678571,0.583333,0.791667,0.952381,0.5] precision 0.8415412251857266 [1,1,0.95,0.941176,0.782609,0.833333,0.521739,0.857143,1,0.529412] precision 0.8378023936847466 [1,0.882353,1,0.904762,0.863636,0.863636,0.454545,0.909091,1,0.5] precision 0.7370807774097247 [1,0.789474,0.888889,0.944444,0.6,0.730769,0.318182,0.842105,0.944444,0.3125] predictive_accuracy 0.76 predictive_accuracy 0.795 predictive_accuracy 0.79 predictive_accuracy 0.825 predictive_accuracy 0.76 predictive_accuracy 0.805 predictive_accuracy 0.805 predictive_accuracy 0.835 predictive_accuracy 0.845 predictive_accuracy 0.73 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 0.76 [0.95,0.85,0.9,0.75,0.85,0.95,0.3,0.6,1,0.45] recall 0.795 [0.95,0.65,0.95,0.9,0.85,0.9,0.4,0.85,0.95,0.55] recall 0.79 [0.9,0.7,0.9,0.75,1,0.95,0.5,0.8,0.95,0.45] recall 0.825 [1,0.6,0.9,0.9,0.95,0.95,0.75,0.8,0.95,0.45] recall 0.76 [0.95,0.6,0.9,0.75,0.9,1,0.4,0.75,1,0.35] recall 0.805 [1,0.9,1,0.7,0.85,0.95,0.3,0.95,1,0.4] recall 0.805 [0.85,0.75,0.9,0.9,0.8,0.95,0.7,0.95,1,0.25] recall 0.835 [1,0.8,0.95,0.8,0.9,1,0.6,0.9,0.95,0.45] recall 0.845 [1,0.75,0.95,0.95,0.95,0.95,0.25,1,1,0.65] recall 0.73 [0.95,0.75,0.8,0.85,0.75,0.95,0.35,0.8,0.85,0.25] relative_absolute_error 0.2666666666666669 relative_absolute_error 0.2277777777777781 relative_absolute_error 0.23333333333333364 relative_absolute_error 0.19444444444444475 relative_absolute_error 0.2666666666666669 relative_absolute_error 0.21666666666666703 relative_absolute_error 0.21666666666666703 relative_absolute_error 0.18333333333333365 relative_absolute_error 0.1722222222222225 relative_absolute_error 0.30000000000000016 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 0.21908902300206642 root_mean_squared_error 0.20248456731316591 root_mean_squared_error 0.20493901531919198 root_mean_squared_error 0.1870828693386971 root_mean_squared_error 0.21908902300206642 root_mean_squared_error 0.19748417658131504 root_mean_squared_error 0.19748417658131504 root_mean_squared_error 0.18165902124584954 root_mean_squared_error 0.17606816861659014 root_mean_squared_error 0.23237900077244494 root_relative_squared_error 0.7302967433402218 root_relative_squared_error 0.6749485577105534 root_relative_squared_error 0.6831300510639737 root_relative_squared_error 0.6236095644623241 root_relative_squared_error 0.7302967433402218 root_relative_squared_error 0.6582805886043839 root_relative_squared_error 0.6582805886043839 root_relative_squared_error 0.6055300708194988 root_relative_squared_error 0.5868938953886341 root_relative_squared_error 0.7745966692414835 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 1138.6031520014512 usercpu_time_millis 1151.3030440037255 usercpu_time_millis 1144.0913950063987 usercpu_time_millis 1127.5151969966828 usercpu_time_millis 1153.5532889975002 usercpu_time_millis 1160.934150997491 usercpu_time_millis 1157.4895110097714 usercpu_time_millis 1149.9583340046229 usercpu_time_millis 1156.9205550040351 usercpu_time_millis 1152.13341100025 usercpu_time_millis_testing 59.36542899871711 usercpu_time_millis_testing 57.69874100224115 usercpu_time_millis_testing 57.6548230019398 usercpu_time_millis_testing 58.238075995177496 usercpu_time_millis_testing 58.6240810007439 usercpu_time_millis_testing 62.0597489978536 usercpu_time_millis_testing 58.06337300600717 usercpu_time_millis_testing 58.62531100137858 usercpu_time_millis_testing 58.915796005749144 usercpu_time_millis_testing 58.29503700078931 usercpu_time_millis_training 1079.2377230027341 usercpu_time_millis_training 1093.6043030014844 usercpu_time_millis_training 1086.4365720044589 usercpu_time_millis_training 1069.2771210015053 usercpu_time_millis_training 1094.9292079967563 usercpu_time_millis_training 1098.8744019996375 usercpu_time_millis_training 1099.4261380037642 usercpu_time_millis_training 1091.3330230032443 usercpu_time_millis_training 1098.004758998286 usercpu_time_millis_training 1093.8383739994606 wall_clock_time_millis 1418.710470199585 wall_clock_time_millis 1363.5053634643555 wall_clock_time_millis 1164.2003059387207 wall_clock_time_millis 1171.7331409454346 wall_clock_time_millis 1549.6764183044434 wall_clock_time_millis 1201.1656761169434 wall_clock_time_millis 1213.5891914367676 wall_clock_time_millis 1554.079532623291 wall_clock_time_millis 1197.3068714141846 wall_clock_time_millis 1208.2388401031494 wall_clock_time_millis_testing 91.3853645324707 wall_clock_time_millis_testing 57.78622627258301 wall_clock_time_millis_testing 57.67011642456055 wall_clock_time_millis_testing 102.37407684326172 wall_clock_time_millis_testing 58.6400032043457 wall_clock_time_millis_testing 62.07633018493652 wall_clock_time_millis_testing 106.08243942260742 wall_clock_time_millis_testing 58.652639389038086 wall_clock_time_millis_testing 58.93993377685547 wall_clock_time_millis_testing 106.31561279296875 wall_clock_time_millis_training 1327.3251056671143 wall_clock_time_millis_training 1305.7191371917725 wall_clock_time_millis_training 1106.5301895141602 wall_clock_time_millis_training 1069.3590641021729 wall_clock_time_millis_training 1491.0364151000977 wall_clock_time_millis_training 1139.0893459320068 wall_clock_time_millis_training 1107.5067520141602 wall_clock_time_millis_training 1495.426893234253 wall_clock_time_millis_training 1138.366937637329 wall_clock_time_millis_training 1101.9232273101807