10328527 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) 8184174 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 4.307035567982047 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.09908308412988551 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 6352 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 21578740 description https://api.openml.org/data/download/21578740/description.xml -1 21578741 predictions https://api.openml.org/data/download/21578741/predictions.arff area_under_roc_curve 0.8258333333333333 [0.92,0.808889,0.889167,0.848333,0.870556,0.900833,0.656667,0.813056,0.899722,0.651111] average_cost 0 f_measure 0.6979165069465424 [0.913043,0.739645,0.869081,0.775956,0.697368,0.541953,0.410405,0.740525,0.886427,0.404762] kappa 0.6516666666666667 kb_relative_information_score 0.6721550267092428 mean_absolute_error 0.06270000000000062 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7605460733264371 [1,0.905797,0.981132,0.855422,0.621094,0.373814,0.486301,0.888112,0.993789,0.5] predictive_accuracy 0.6865000000000001 prior_entropy 3.3219280948872383 recall 0.6865 [0.84,0.625,0.78,0.71,0.795,0.985,0.355,0.635,0.8,0.34] relative_absolute_error 0.34833333333332606 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.2503996805109795 root_relative_squared_error 0.8346656017032522 total_cost 0 area_under_roc_curve 0.825 [0.9,0.913889,0.85,0.872222,0.938889,0.855556,0.638889,0.8,0.8,0.680556] area_under_roc_curve 0.85 [0.95,0.719444,0.9,0.936111,0.927778,0.938889,0.677778,0.797222,0.95,0.702778] area_under_roc_curve 0.811111111111111 [0.9,0.847222,0.85,0.741667,0.825,0.869444,0.697222,0.797222,0.95,0.633333] area_under_roc_curve 0.8277777777777778 [0.9,0.747222,0.875,0.844444,0.877778,0.897222,0.8,0.769444,0.925,0.641667] area_under_roc_curve 0.7916666666666665 [0.925,0.772222,0.85,0.866667,0.802778,0.886111,0.572222,0.841667,0.825,0.575] area_under_roc_curve 0.8416666666666667 [0.95,0.85,0.975,0.722222,0.888889,0.919444,0.608333,0.872222,0.975,0.655556] area_under_roc_curve 0.8194444444444445 [0.875,0.794444,0.925,0.913889,0.805556,0.891667,0.658333,0.791667,0.922222,0.616667] area_under_roc_curve 0.8444444444444443 [0.925,0.85,0.897222,0.822222,0.888889,0.938889,0.75,0.869444,0.8,0.702778] area_under_roc_curve 0.85 [0.925,0.747222,0.95,0.963889,0.936111,0.913889,0.563889,0.797222,0.975,0.727778] area_under_roc_curve 0.7972222222222223 [0.95,0.847222,0.819444,0.8,0.813889,0.897222,0.6,0.794444,0.875,0.575] 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 0.705272027510191 [0.888889,0.829268,0.823529,0.833333,0.857143,0.463415,0.4,0.75,0.75,0.457143] f_measure 0.728745383878847 [0.947368,0.580645,0.888889,0.837209,0.782609,0.645161,0.444444,0.727273,0.947368,0.486486] f_measure 0.6774327800782188 [0.888889,0.8,0.823529,0.606061,0.651163,0.493506,0.461538,0.727273,0.947368,0.375] f_measure 0.7034150368966833 [0.888889,0.645161,0.857143,0.777778,0.727273,0.519481,0.619048,0.666667,0.918919,0.413793] f_measure 0.6369749421558238 [0.918919,0.6875,0.823529,0.789474,0.634146,0.493827,0.235294,0.756757,0.787879,0.242424] f_measure 0.7147004610839798 [0.947368,0.823529,0.974359,0.6,0.68,0.57971,0.322581,0.833333,0.974359,0.411765] f_measure 0.6829377944814758 [0.857143,0.705882,0.918919,0.829268,0.65,0.506329,0.424242,0.685714,0.894737,0.357143] f_measure 0.729447766552131 [0.918919,0.823529,0.864865,0.764706,0.68,0.645161,0.55,0.810811,0.75,0.486486] f_measure 0.7185271225601899 [0.918919,0.645161,0.947368,0.883721,0.716981,0.622951,0.222222,0.727273,0.974359,0.526316] f_measure 0.6455017863808458 [0.947368,0.8,0.742857,0.75,0.595745,0.519481,0.294118,0.705882,0.857143,0.242424] kappa 0.65 kappa 0.7 kappa 0.6222222222222222 kappa 0.6555555555555556 kappa 0.5833333333333334 kappa 0.6833333333333333 kappa 0.638888888888889 kappa 0.6888888888888889 kappa 0.7 kappa 0.5944444444444444 kb_relative_information_score 0.6705863904733903 kb_relative_information_score 0.7176454775486207 kb_relative_information_score 0.6444424532093733 kb_relative_information_score 0.6758151779261936 kb_relative_information_score 0.6078409410397496 kb_relative_information_score 0.7019591151902105 kb_relative_information_score 0.6601288155677836 kb_relative_information_score 0.707187902643014 kb_relative_information_score 0.7176454775486207 kb_relative_information_score 0.6182985159453563 mean_absolute_error 0.06299999999999993 mean_absolute_error 0.053999999999999965 mean_absolute_error 0.06799999999999992 mean_absolute_error 0.06199999999999994 mean_absolute_error 0.0749999999999999 mean_absolute_error 0.05699999999999996 mean_absolute_error 0.06499999999999993 mean_absolute_error 0.05599999999999996 mean_absolute_error 0.053999999999999965 mean_absolute_error 0.0729999999999999 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 0.8004990573942186 [1,0.809524,1,0.9375,0.818182,0.306452,0.6,1,1,0.533333] precision 0.7721777370114965 [1,0.818182,1,0.782609,0.692308,0.47619,0.5,0.923077,1,0.529412] precision 0.754135422167459 [1,0.933333,1,0.769231,0.608696,0.333333,0.473684,0.923077,1,0.5] precision 0.7905364372469635 [1,0.909091,1,0.875,0.666667,0.350877,0.590909,0.846154,1,0.666667] precision 0.7113852476677935 [1,0.916667,1,0.833333,0.619048,0.327869,0.285714,0.823529,1,0.307692] precision 0.7766875386518244 [1,1,1,0.9,0.566667,0.408163,0.454545,0.9375,1,0.5] precision 0.7563555700420107 [1,0.857143,1,0.809524,0.65,0.338983,0.538462,0.8,0.944444,0.625] precision 0.7874369747899159 [1,1,0.941176,0.928571,0.566667,0.47619,0.55,0.882353,1,0.529412] precision 0.7681553982720473 [1,0.909091,1,0.826087,0.575758,0.463415,0.428571,0.923077,1,0.555556] precision 0.7191373733478996 [1,0.933333,0.866667,1,0.518519,0.350877,0.357143,0.857143,1,0.307692] predictive_accuracy 0.685 predictive_accuracy 0.73 predictive_accuracy 0.66 predictive_accuracy 0.69 predictive_accuracy 0.625 predictive_accuracy 0.715 predictive_accuracy 0.675 predictive_accuracy 0.72 predictive_accuracy 0.73 predictive_accuracy 0.635 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 0.685 [0.8,0.85,0.7,0.75,0.9,0.95,0.3,0.6,0.6,0.4] recall 0.73 [0.9,0.45,0.8,0.9,0.9,1,0.4,0.6,0.9,0.45] recall 0.66 [0.8,0.7,0.7,0.5,0.7,0.95,0.45,0.6,0.9,0.3] recall 0.69 [0.8,0.5,0.75,0.7,0.8,1,0.65,0.55,0.85,0.3] recall 0.625 [0.85,0.55,0.7,0.75,0.65,1,0.2,0.7,0.65,0.2] recall 0.715 [0.9,0.7,0.95,0.45,0.85,1,0.25,0.75,0.95,0.35] recall 0.675 [0.75,0.6,0.85,0.85,0.65,1,0.35,0.6,0.85,0.25] recall 0.72 [0.85,0.7,0.8,0.65,0.85,1,0.55,0.75,0.6,0.45] recall 0.73 [0.85,0.5,0.9,0.95,0.95,0.95,0.15,0.6,0.95,0.5] recall 0.635 [0.9,0.7,0.65,0.6,0.7,1,0.25,0.6,0.75,0.2] relative_absolute_error 0.35 relative_absolute_error 0.30000000000000016 relative_absolute_error 0.3777777777777777 relative_absolute_error 0.3444444444444445 relative_absolute_error 0.4166666666666666 relative_absolute_error 0.31666666666666676 relative_absolute_error 0.36111111111111116 relative_absolute_error 0.3111111111111112 relative_absolute_error 0.30000000000000016 relative_absolute_error 0.40555555555555545 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 0.25099800796022254 root_mean_squared_error 0.23237900077244494 root_mean_squared_error 0.2607680962081058 root_mean_squared_error 0.2489979919597745 root_mean_squared_error 0.27386127875258287 root_mean_squared_error 0.23874672772626634 root_mean_squared_error 0.2549509756796391 root_mean_squared_error 0.23664319132398456 root_mean_squared_error 0.23237900077244494 root_mean_squared_error 0.2701851217221257 root_relative_squared_error 0.8366600265340756 root_relative_squared_error 0.7745966692414835 root_relative_squared_error 0.8692269873603533 root_relative_squared_error 0.8299933065325821 root_relative_squared_error 0.9128709291752767 root_relative_squared_error 0.7958224257542216 root_relative_squared_error 0.8498365855987976 root_relative_squared_error 0.7888106377466158 root_relative_squared_error 0.7745966692414835 root_relative_squared_error 0.9006170724070863 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 1203.4126150028897 usercpu_time_millis 1195.5203830002574 usercpu_time_millis 1197.1277019983972 usercpu_time_millis 1206.2729820027016 usercpu_time_millis 1201.170339998498 usercpu_time_millis 1190.0845689960988 usercpu_time_millis 1177.3158139985753 usercpu_time_millis 1195.3210909996415 usercpu_time_millis 1195.6929359948845 usercpu_time_millis 1199.3678159997216 usercpu_time_millis_testing 62.760706001427025 usercpu_time_millis_testing 63.325383998744655 usercpu_time_millis_testing 63.542987998516764 usercpu_time_millis_testing 62.90869299846236 usercpu_time_millis_testing 63.2252459981828 usercpu_time_millis_testing 62.433289996988606 usercpu_time_millis_testing 62.795154997729696 usercpu_time_millis_testing 62.08801300090272 usercpu_time_millis_testing 63.69443999574287 usercpu_time_millis_testing 63.51279000227805 usercpu_time_millis_training 1140.6519090014626 usercpu_time_millis_training 1132.1949990015128 usercpu_time_millis_training 1133.5847139998805 usercpu_time_millis_training 1143.3642890042393 usercpu_time_millis_training 1137.9450940003153 usercpu_time_millis_training 1127.6512789991102 usercpu_time_millis_training 1114.5206590008456 usercpu_time_millis_training 1133.2330779987387 usercpu_time_millis_training 1131.9984959991416 usercpu_time_millis_training 1135.8550259974436 wall_clock_time_millis 1235.511302947998 wall_clock_time_millis 1195.6312656402588 wall_clock_time_millis 1197.2737312316895 wall_clock_time_millis 1206.3872814178467 wall_clock_time_millis 1201.2856006622314 wall_clock_time_millis 1190.2415752410889 wall_clock_time_millis 1177.4165630340576 wall_clock_time_millis 1195.4529285430908 wall_clock_time_millis 1195.7931518554688 wall_clock_time_millis 1199.474573135376 wall_clock_time_millis_testing 62.776803970336914 wall_clock_time_millis_testing 63.35091590881348 wall_clock_time_millis_testing 63.56072425842285 wall_clock_time_millis_testing 62.923431396484375 wall_clock_time_millis_testing 63.24052810668945 wall_clock_time_millis_testing 62.44826316833496 wall_clock_time_millis_testing 62.81304359436035 wall_clock_time_millis_testing 62.103986740112305 wall_clock_time_millis_testing 63.70973587036133 wall_clock_time_millis_testing 63.527822494506836 wall_clock_time_millis_training 1172.7344989776611 wall_clock_time_millis_training 1132.2803497314453 wall_clock_time_millis_training 1133.7130069732666 wall_clock_time_millis_training 1143.4638500213623 wall_clock_time_millis_training 1138.045072555542 wall_clock_time_millis_training 1127.793312072754 wall_clock_time_millis_training 1114.6035194396973 wall_clock_time_millis_training 1133.3489418029785 wall_clock_time_millis_training 1132.0834159851074 wall_clock_time_millis_training 1135.9467506408691