574632 1 Jan van Rijn 14 Supervised Classification 2270 weka.Bagging_HyperPipes(1) 2909 weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 10 -W weka.classifiers.misc.HyperPipes P 100 2270 S 1 2270 num-slots 1 2270 I 10 2270 W weka.classifiers.misc.HyperPipes 2270 weka weka_3.7.13 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 1981374 description https://api.openml.org/data/download/1981374/weka_generated_run3520273815630693204.xml -1 1981376 model_readable https://api.openml.org/data/download/1981376/WekaModel_weka.classifiers.meta.Bagging5117191596958923993.model -1 1981375 model_serialized https://api.openml.org/data/download/1981375/WekaSerialized_weka.classifiers.meta.Bagging3524402562897178346.model -1 1981377 predictions https://api.openml.org/data/download/1981377/weka_generated_predictions5760525970422767676.arff area_under_roc_curve 0.903625 [0.998808,0.822439,0.978704,0.838382,0.830114,0.946882,0.848735,0.979954,0.970614,0.821614] average_cost 0 f_measure 0.67606 [0.974359,0.568019,0.802292,0.636569,0.523901,0.800983,0.469974,0.682216,0.865922,0.436364] kappa 0.631111 kb_relative_information_score 59.365474 mean_absolute_error 0.17858 mean_prior_absolute_error 0.18 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] os_information [Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64] precision 0.701986 [1,0.543379,0.939597,0.580247,0.424149,0.78744,0.491803,0.818182,0.981013,0.454054] predictive_accuracy 0.668 prior_entropy 3.321928 recall 0.668 [0.95,0.595,0.7,0.705,0.685,0.815,0.45,0.585,0.775,0.42] relative_absolute_error 0.992113 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.297706 root_relative_squared_error 0.992354 scimark_benchmark 1438.881963 [816.5920912797799, 973.209590625, 515.4785657766312, 1233.6188235294117, 3655.5107436103276] total_cost 0 usercpu_time_millis 100 usercpu_time_millis_testing 90 usercpu_time_millis_training 10 area_under_roc_curve 0.913611 [0.9975,0.820556,0.983611,0.846111,0.848611,0.975,0.816806,0.978333,0.980694,0.888889] area_under_roc_curve 0.896194 [1,0.812917,0.969167,0.79,0.806111,0.931806,0.879444,0.978611,0.9675,0.826389] area_under_roc_curve 0.901764 [0.993889,0.8375,0.98,0.82,0.808889,0.934028,0.884167,0.974167,0.989167,0.795833] area_under_roc_curve 0.903764 [1,0.815,0.9925,0.861944,0.894167,0.953056,0.795833,0.981944,0.941111,0.802083] area_under_roc_curve 0.910056 [0.999722,0.861667,0.9675,0.806944,0.815,0.970278,0.833889,0.99,0.985833,0.869722] area_under_roc_curve 0.897722 [1,0.805278,0.987778,0.834306,0.846667,0.911944,0.841389,0.983333,0.988333,0.778194] area_under_roc_curve 0.916764 [0.999722,0.882222,0.992778,0.925417,0.786111,0.903333,0.885278,0.985278,0.981111,0.826389] area_under_roc_curve 0.908736 [1,0.789167,0.985278,0.868333,0.810556,0.975,0.887917,0.971944,0.989167,0.81] area_under_roc_curve 0.908486 [0.997778,0.807222,0.993333,0.808611,0.850139,0.945833,0.875833,0.985278,0.998333,0.8225] area_under_roc_curve 0.885722 [0.999167,0.803333,0.940278,0.819444,0.831944,0.970694,0.785139,0.981389,0.909722,0.816111] 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 0.72612 [0.974359,0.638298,0.787879,0.711111,0.615385,0.923077,0.578947,0.625,0.857143,0.55] f_measure 0.667195 [1,0.526316,0.833333,0.590909,0.603774,0.717949,0.4,0.625,0.864865,0.509804] f_measure 0.637676 [0.888889,0.526316,0.8,0.487805,0.551724,0.75,0.45,0.6875,0.926829,0.307692] f_measure 0.661007 [0.974359,0.432432,0.871795,0.590909,0.561404,0.857143,0.487805,0.647059,0.823529,0.363636] f_measure 0.613559 [0.974359,0.553191,0.6875,0.55814,0.42623,0.761905,0.411765,0.5625,0.857143,0.342857] f_measure 0.670043 [1,0.536585,0.871795,0.619048,0.509804,0.829268,0.378378,0.666667,0.888889,0.4] f_measure 0.698092 [0.974359,0.634146,0.787879,0.816327,0.56,0.8,0.511628,0.722222,0.974359,0.2] f_measure 0.718901 [1,0.622222,0.833333,0.695652,0.52381,0.769231,0.666667,0.789474,0.709677,0.578947] f_measure 0.677941 [0.974359,0.6,0.823529,0.622222,0.415094,0.8,0.45,0.742857,0.918919,0.432432] f_measure 0.651723 [0.974359,0.577778,0.6875,0.636364,0.478261,0.8,0.285714,0.717949,0.787879,0.571429] kappa 0.688889 kappa 0.627778 kappa 0.588889 kappa 0.622222 kappa 0.561111 kappa 0.627778 kappa 0.672222 kappa 0.683333 kappa 0.627778 kappa 0.611111 kb_relative_information_score 5.925617 kb_relative_information_score 6.008694 kb_relative_information_score 5.635072 kb_relative_information_score 6.09652 kb_relative_information_score 5.795135 kb_relative_information_score 5.843173 kb_relative_information_score 6.109566 kb_relative_information_score 5.973413 kb_relative_information_score 5.731058 kb_relative_information_score 6.247225 mean_absolute_error 0.178577 mean_absolute_error 0.178558 mean_absolute_error 0.178655 mean_absolute_error 0.178551 mean_absolute_error 0.178609 mean_absolute_error 0.178599 mean_absolute_error 0.178533 mean_absolute_error 0.178564 mean_absolute_error 0.178632 mean_absolute_error 0.178524 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 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 0.763737 [1,0.555556,1,0.64,0.5,0.947368,0.611111,0.833333,1,0.55] precision 0.705028 [1,0.555556,0.9375,0.541667,0.484848,0.736842,0.6,0.833333,0.941176,0.419355] precision 0.672335 [1,0.555556,0.933333,0.47619,0.421053,0.75,0.45,0.916667,0.904762,0.315789] precision 0.688105 [1,0.470588,0.894737,0.541667,0.432432,0.818182,0.47619,0.785714,1,0.461538] precision 0.661423 [1,0.481481,0.916667,0.521739,0.317073,0.727273,0.5,0.75,1,0.4] precision 0.689625 [1,0.52381,0.894737,0.590909,0.419355,0.809524,0.411765,0.846154,1,0.4] precision 0.716613 [1,0.619048,1,0.689655,0.466667,0.8,0.478261,0.8125,1,0.3] precision 0.74468 [1,0.56,0.9375,0.615385,0.5,0.789474,0.6,0.833333,1,0.611111] precision 0.708059 [1,0.6,1,0.56,0.333333,0.8,0.45,0.866667,1,0.470588] precision 0.677871 [1,0.52,0.916667,0.583333,0.423077,0.72,0.333333,0.736842,1,0.545455] predictive_accuracy 0.72 predictive_accuracy 0.665 predictive_accuracy 0.63 predictive_accuracy 0.66 predictive_accuracy 0.605 predictive_accuracy 0.665 predictive_accuracy 0.705 predictive_accuracy 0.715 predictive_accuracy 0.665 predictive_accuracy 0.65 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 recall 0.72 [0.95,0.75,0.65,0.8,0.8,0.9,0.55,0.5,0.75,0.55] recall 0.665 [1,0.5,0.75,0.65,0.8,0.7,0.3,0.5,0.8,0.65] recall 0.63 [0.8,0.5,0.7,0.5,0.8,0.75,0.45,0.55,0.95,0.3] recall 0.66 [0.95,0.4,0.85,0.65,0.8,0.9,0.5,0.55,0.7,0.3] recall 0.605 [0.95,0.65,0.55,0.6,0.65,0.8,0.35,0.45,0.75,0.3] recall 0.665 [1,0.55,0.85,0.65,0.65,0.85,0.35,0.55,0.8,0.4] recall 0.705 [0.95,0.65,0.65,1,0.7,0.8,0.55,0.65,0.95,0.15] recall 0.715 [1,0.7,0.75,0.8,0.55,0.75,0.75,0.75,0.55,0.55] recall 0.665 [0.95,0.6,0.7,0.7,0.55,0.8,0.45,0.65,0.85,0.4] recall 0.65 [0.95,0.65,0.55,0.7,0.55,0.9,0.25,0.7,0.65,0.6] relative_absolute_error 0.992093 relative_absolute_error 0.991987 relative_absolute_error 0.99253 relative_absolute_error 0.991949 relative_absolute_error 0.992275 relative_absolute_error 0.992216 relative_absolute_error 0.991849 relative_absolute_error 0.992023 relative_absolute_error 0.9924 relative_absolute_error 0.991803 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.297698 root_mean_squared_error 0.297672 root_mean_squared_error 0.297829 root_mean_squared_error 0.297664 root_mean_squared_error 0.29775 root_mean_squared_error 0.297737 root_mean_squared_error 0.297628 root_mean_squared_error 0.297676 root_mean_squared_error 0.297783 root_mean_squared_error 0.297623 root_relative_squared_error 0.992328 root_relative_squared_error 0.992242 root_relative_squared_error 0.992762 root_relative_squared_error 0.992215 root_relative_squared_error 0.992499 root_relative_squared_error 0.992455 root_relative_squared_error 0.992093 root_relative_squared_error 0.992253 root_relative_squared_error 0.992611 root_relative_squared_error 0.992078 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 100 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis_testing 40 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_training 60 usercpu_time_millis_training 40 usercpu_time_millis_training 30 usercpu_time_millis_training 20 usercpu_time_millis_training 20 usercpu_time_millis_training 20 usercpu_time_millis_training 30 usercpu_time_millis_training 20 usercpu_time_millis_training 20 usercpu_time_millis_training 20