580334 1 Jan van Rijn 14 Supervised Classification 2236 weka.A1DE(28) 2874 weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE -- -F 1 -M 1.0 F 1 2236 M 1.0 2236 study_70 weka weka_3.7.13 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 2004117 description https://api.openml.org/data/download/2004117/weka_generated_run7958534426136423824.xml -1 2004119 model_readable https://api.openml.org/data/download/2004119/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE5819687565972378243.model -1 2004118 model_serialized https://api.openml.org/data/download/2004118/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE8239630468513727941.model -1 2004120 predictions https://api.openml.org/data/download/2004120/weka_generated_predictions3903735542102337664.arff area_under_roc_curve 0.976705 [0.999978,0.962232,0.995694,0.990521,0.968944,0.993489,0.94029,0.992804,0.999529,0.923572] average_cost 0 f_measure 0.820486 [0.997494,0.777506,0.957179,0.88946,0.804178,0.910448,0.496124,0.883721,0.982544,0.506203] kappa 0.801667 kb_relative_information_score 1661.054892 mean_absolute_error 0.036734 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 0.821007 [1,0.760766,0.964467,0.915344,0.84153,0.905941,0.513369,0.826087,0.9801,0.502463] predictive_accuracy 0.8215 prior_entropy 3.321928 recall 0.8215 [0.995,0.795,0.95,0.865,0.77,0.915,0.48,0.95,0.985,0.51] relative_absolute_error 0.204077 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.171632 root_relative_squared_error 0.572106 scimark_benchmark 1316.035532 [734.726447661154, 908.5124758194479, 506.4819628337504, 1207.4804216461664, 3222.9763539042583] total_cost 0 usercpu_time_millis 410 usercpu_time_millis_testing 250 usercpu_time_millis_training 160 area_under_roc_curve 0.977639 [1,0.977361,0.998333,0.993889,0.962222,1,0.916806,0.996944,0.999722,0.931111] area_under_roc_curve 0.975889 [1,0.973194,1,0.968472,0.966389,0.996111,0.936111,0.989722,0.999444,0.929444] area_under_roc_curve 0.980389 [1,0.967778,1,0.986944,0.995833,0.997222,0.912917,0.994306,1,0.948889] area_under_roc_curve 0.982569 [1,0.976944,0.999167,0.998056,0.998333,0.996667,0.956389,0.994306,1,0.905833] area_under_roc_curve 0.9755 [1,0.93625,0.999444,0.982778,0.978333,0.993889,0.96,0.991111,1,0.913194] area_under_roc_curve 0.978958 [1,0.958611,1,0.992778,0.990278,0.996389,0.946389,0.993889,1,0.91125] area_under_roc_curve 0.971319 [1,0.94875,0.97125,0.993889,0.939722,0.966667,0.961111,0.990278,1,0.941528] area_under_roc_curve 0.977319 [1,0.948194,0.997222,0.996667,0.948889,0.997222,0.946389,0.990833,1,0.947778] area_under_roc_curve 0.978375 [1,0.95,1,0.999444,0.982778,0.991389,0.946389,0.99375,1,0.92] area_under_roc_curve 0.968361 [1,0.985278,0.991111,0.993611,0.919167,0.999722,0.921389,0.993333,0.995556,0.884444] 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 0.810384 [0.974359,0.755556,0.926829,0.918919,0.871795,1,0.358974,0.871795,0.97561,0.45] f_measure 0.784866 [1,0.772727,1,0.864865,0.756757,0.878049,0.428571,0.829268,0.95,0.368421] f_measure 0.83823 [1,0.711111,1,0.864865,0.883721,0.947368,0.470588,0.9,1,0.604651] f_measure 0.84544 [1,0.833333,0.974359,0.909091,0.871795,0.878049,0.55,0.926829,0.974359,0.536585] f_measure 0.796839 [1,0.631579,0.947368,0.878049,0.702703,0.878049,0.578947,0.826087,0.97561,0.55] f_measure 0.848138 [1,0.918919,0.97561,0.871795,0.8,0.904762,0.571429,0.952381,1,0.486486] f_measure 0.813135 [1,0.731707,0.918919,0.878049,0.742857,0.829268,0.615385,0.851064,1,0.564103] f_measure 0.84941 [1,0.85,0.95,0.926829,0.810811,0.947368,0.55,0.909091,1,0.55] f_measure 0.825726 [1,0.8,1,0.918919,0.829268,0.871795,0.375,0.909091,1,0.553191] f_measure 0.787137 [1,0.790698,0.878049,0.857143,0.742857,0.97561,0.439024,0.869565,0.95,0.368421] kappa 0.788889 kappa 0.761111 kappa 0.822222 kappa 0.827778 kappa 0.777778 kappa 0.833333 kappa 0.794444 kappa 0.833333 kappa 0.811111 kappa 0.766667 kb_relative_information_score 162.284976 kb_relative_information_score 162.20787 kb_relative_information_score 168.018831 kb_relative_information_score 174.023531 kb_relative_information_score 161.345651 kb_relative_information_score 171.297986 kb_relative_information_score 162.808949 kb_relative_information_score 170.896495 kb_relative_information_score 168.819776 kb_relative_information_score 159.350828 mean_absolute_error 0.039341 mean_absolute_error 0.041343 mean_absolute_error 0.034595 mean_absolute_error 0.028823 mean_absolute_error 0.042883 mean_absolute_error 0.0307 mean_absolute_error 0.038841 mean_absolute_error 0.032478 mean_absolute_error 0.034394 mean_absolute_error 0.043943 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 0.814504 [1,0.68,0.904762,1,0.894737,1,0.368421,0.894737,0.952381,0.45] precision 0.788769 [1,0.708333,1,0.941176,0.823529,0.857143,0.409091,0.809524,0.95,0.388889] precision 0.844391 [1,0.64,1,0.941176,0.826087,1,0.571429,0.9,1,0.565217] precision 0.850128 [1,0.9375,1,0.833333,0.894737,0.857143,0.55,0.904762,1,0.52381] precision 0.798992 [1,0.666667,1,0.857143,0.764706,0.857143,0.611111,0.730769,0.952381,0.55] precision 0.849471 [1,1,0.952381,0.894737,0.8,0.863636,0.545455,0.909091,1,0.529412] precision 0.819889 [1,0.714286,1,0.857143,0.866667,0.809524,0.631579,0.740741,1,0.578947] precision 0.852045 [1,0.85,0.95,0.904762,0.882353,1,0.55,0.833333,1,0.55] precision 0.831908 [1,0.8,1,1,0.809524,0.894737,0.5,0.833333,1,0.481481] precision 0.795201 [1,0.73913,0.857143,1,0.866667,0.952381,0.428571,0.769231,0.95,0.388889] predictive_accuracy 0.81 predictive_accuracy 0.785 predictive_accuracy 0.84 predictive_accuracy 0.845 predictive_accuracy 0.8 predictive_accuracy 0.85 predictive_accuracy 0.815 predictive_accuracy 0.85 predictive_accuracy 0.83 predictive_accuracy 0.79 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 0.81 [0.95,0.85,0.95,0.85,0.85,1,0.35,0.85,1,0.45] recall 0.785 [1,0.85,1,0.8,0.7,0.9,0.45,0.85,0.95,0.35] recall 0.84 [1,0.8,1,0.8,0.95,0.9,0.4,0.9,1,0.65] recall 0.845 [1,0.75,0.95,1,0.85,0.9,0.55,0.95,0.95,0.55] recall 0.8 [1,0.6,0.9,0.9,0.65,0.9,0.55,0.95,1,0.55] recall 0.85 [1,0.85,1,0.85,0.8,0.95,0.6,1,1,0.45] recall 0.815 [1,0.75,0.85,0.9,0.65,0.85,0.6,1,1,0.55] recall 0.85 [1,0.85,0.95,0.95,0.75,0.9,0.55,1,1,0.55] recall 0.83 [1,0.8,1,0.85,0.85,0.85,0.3,1,1,0.65] recall 0.79 [1,0.85,0.9,0.75,0.65,1,0.45,1,0.95,0.35] relative_absolute_error 0.218559 relative_absolute_error 0.229683 relative_absolute_error 0.192194 relative_absolute_error 0.160126 relative_absolute_error 0.238237 relative_absolute_error 0.170553 relative_absolute_error 0.215783 relative_absolute_error 0.180433 relative_absolute_error 0.191078 relative_absolute_error 0.244128 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 0.18248 root_mean_squared_error 0.181905 root_mean_squared_error 0.166867 root_mean_squared_error 0.150914 root_mean_squared_error 0.183166 root_mean_squared_error 0.157373 root_mean_squared_error 0.180198 root_mean_squared_error 0.158408 root_mean_squared_error 0.163287 root_mean_squared_error 0.187147 root_relative_squared_error 0.608266 root_relative_squared_error 0.60635 root_relative_squared_error 0.556223 root_relative_squared_error 0.503047 root_relative_squared_error 0.610554 root_relative_squared_error 0.524575 root_relative_squared_error 0.600659 root_relative_squared_error 0.528028 root_relative_squared_error 0.54429 root_relative_squared_error 0.623823 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 540 usercpu_time_millis 360 usercpu_time_millis 220 usercpu_time_millis 130 usercpu_time_millis 140 usercpu_time_millis 130 usercpu_time_millis 140 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 210 usercpu_time_millis_testing 120 usercpu_time_millis_testing 30 usercpu_time_millis_testing 20 usercpu_time_millis_testing 20 usercpu_time_millis_testing 30 usercpu_time_millis_testing 20 usercpu_time_millis_testing 10 usercpu_time_millis_testing 20 usercpu_time_millis_testing 20 usercpu_time_millis_testing 30 usercpu_time_millis_training 420 usercpu_time_millis_training 330 usercpu_time_millis_training 200 usercpu_time_millis_training 110 usercpu_time_millis_training 110 usercpu_time_millis_training 110 usercpu_time_millis_training 130 usercpu_time_millis_training 80 usercpu_time_millis_training 80 usercpu_time_millis_training 180