575733 1 Jan van Rijn 14 Supervised Classification 3904 weka.AttributeSelectedClassifier_BayesNet(1) 6251 weka.classifiers.meta.AttributeSelectedClassifier -- -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W weka.classifiers.bayes.BayesNet -- -D -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.SimpleEstimator -- -A 0.5 E weka.attributeSelection.CfsSubsetEval -P 1 -E 1 3904 S weka.attributeSelection.BestFirst -D 1 -N 5 3904 W weka.classifiers.bayes.BayesNet 3904 D true 3905 Q weka.classifiers.bayes.net.search.local.K2 3905 study_70 weka weka_3.7.13 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 1985784 description https://api.openml.org/data/download/1985784/weka_generated_run6049768078567309502.xml -1 1985786 model_readable https://api.openml.org/data/download/1985786/WekaModel_weka.classifiers.meta.AttributeSelectedClassifier6843727521398359736.model -1 1985785 model_serialized https://api.openml.org/data/download/1985785/WekaSerialized_weka.classifiers.meta.AttributeSelectedClassifier8537239109942948369.model -1 1985787 predictions https://api.openml.org/data/download/1985787/weka_generated_predictions2230016871868293858.arff area_under_roc_curve 0.969409 [0.997493,0.937208,0.989636,0.984447,0.941294,0.990171,0.944183,0.980496,0.99129,0.937868] average_cost 0 f_measure 0.782836 [0.976982,0.711316,0.903896,0.843501,0.726343,0.867299,0.526042,0.794457,0.960199,0.518325] kappa 0.76 kb_relative_information_score 1593.22239 mean_absolute_error 0.045386 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 0.785408 [1,0.660944,0.940541,0.898305,0.743455,0.824324,0.548913,0.738197,0.955446,0.543956] predictive_accuracy 0.784 prior_entropy 3.321928 recall 0.784 [0.955,0.77,0.87,0.795,0.71,0.915,0.505,0.86,0.965,0.495] relative_absolute_error 0.252144 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.18471 root_relative_squared_error 0.615699 scimark_benchmark 1573.236735 [874.0870295708412, 1196.1234854093211, 516.9676220670322, 1461.2262858419435, 3817.7792497895534] total_cost 0 usercpu_time_millis 220 usercpu_time_millis_testing 30 usercpu_time_millis_training 190 area_under_roc_curve 0.964833 [0.974861,0.945417,0.991389,0.989444,0.913056,0.999722,0.906111,0.9825,0.998333,0.9475] area_under_roc_curve 0.957639 [1,0.927222,0.99,0.959444,0.889861,0.991389,0.951944,0.95125,0.973611,0.941667] area_under_roc_curve 0.978181 [1,0.965278,0.997778,0.977778,0.975278,0.990278,0.928611,0.987083,1,0.959722] area_under_roc_curve 0.974208 [1,0.945278,0.996389,0.997222,0.976667,0.9975,0.9625,0.953611,0.973889,0.939028] area_under_roc_curve 0.963625 [1,0.886667,0.994167,0.969444,0.936944,0.98625,0.948611,0.984583,0.999722,0.929861] area_under_roc_curve 0.975069 [1,0.923333,0.999167,0.986389,0.965278,0.989306,0.954444,0.990278,1,0.9425] area_under_roc_curve 0.967486 [1,0.915972,0.970278,0.978194,0.944722,0.963472,0.970833,0.987778,0.998611,0.945] area_under_roc_curve 0.980806 [1,0.943194,0.996389,0.995556,0.956111,0.993333,0.965,0.991806,1,0.966667] area_under_roc_curve 0.976319 [1,0.953194,1,0.998889,0.956389,0.991111,0.949722,0.993611,1,0.920278] area_under_roc_curve 0.960083 [1,0.969861,0.961389,0.989444,0.895833,0.998056,0.927222,0.987083,0.969167,0.902778] 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 0.765724 [0.974359,0.765957,0.842105,0.857143,0.761905,0.97561,0.277778,0.75,0.952381,0.5] f_measure 0.768967 [1,0.697674,0.871795,0.871795,0.666667,0.837209,0.55,0.731707,0.95,0.512821] f_measure 0.774703 [0.918919,0.723404,0.918919,0.810811,0.790698,0.829268,0.526316,0.75,0.952381,0.526316] f_measure 0.789491 [0.947368,0.714286,0.918919,0.926829,0.761905,0.904762,0.526316,0.731707,0.95,0.512821] f_measure 0.740472 [1,0.578947,0.888889,0.769231,0.631579,0.808511,0.512821,0.73913,0.97561,0.5] f_measure 0.821086 [1,0.829268,0.923077,0.864865,0.717949,0.863636,0.634146,0.863636,1,0.514286] f_measure 0.803371 [0.974359,0.651163,0.947368,0.829268,0.764706,0.837209,0.628571,0.851064,0.95,0.6] f_measure 0.825053 [1,0.761905,0.9,0.894737,0.736842,0.85,0.682927,0.818182,0.974359,0.631579] f_measure 0.806189 [0.974359,0.736842,0.97561,0.864865,0.65,0.857143,0.578947,0.869565,0.97561,0.578947] f_measure 0.725837 [0.974359,0.653846,0.85,0.727273,0.769231,0.923077,0.315789,0.818182,0.918919,0.307692] kappa 0.744444 kappa 0.744444 kappa 0.75 kappa 0.766667 kappa 0.716667 kappa 0.805556 kappa 0.783333 kappa 0.805556 kappa 0.788889 kappa 0.694444 kb_relative_information_score 155.864999 kb_relative_information_score 158.355409 kb_relative_information_score 160.465143 kb_relative_information_score 160.762066 kb_relative_information_score 150.403096 kb_relative_information_score 165.603592 kb_relative_information_score 162.278344 kb_relative_information_score 165.446555 kb_relative_information_score 164.994551 kb_relative_information_score 149.048635 mean_absolute_error 0.047288 mean_absolute_error 0.047048 mean_absolute_error 0.045775 mean_absolute_error 0.044246 mean_absolute_error 0.053506 mean_absolute_error 0.038897 mean_absolute_error 0.042672 mean_absolute_error 0.040126 mean_absolute_error 0.040977 mean_absolute_error 0.053323 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 0.77068 [1,0.666667,0.888889,1,0.727273,0.952381,0.3125,0.75,0.909091,0.5] precision 0.771486 [1,0.652174,0.894737,0.894737,0.75,0.782609,0.55,0.714286,0.95,0.526316] precision 0.783084 [1,0.62963,1,0.882353,0.73913,0.809524,0.555556,0.75,0.909091,0.555556] precision 0.792365 [1,0.681818,1,0.904762,0.727273,0.863636,0.555556,0.714286,0.95,0.526316] precision 0.7466 [1,0.611111,1,0.789474,0.666667,0.703704,0.526316,0.653846,0.952381,0.5625] precision 0.823729 [1,0.809524,0.947368,0.941176,0.736842,0.791667,0.619048,0.791667,1,0.6] precision 0.815347 [1,0.608696,1,0.809524,0.928571,0.782609,0.733333,0.740741,0.95,0.6] precision 0.828283 [1,0.727273,0.9,0.944444,0.777778,0.85,0.666667,0.75,1,0.666667] precision 0.808335 [1,0.777778,0.952381,0.941176,0.65,0.818182,0.611111,0.769231,0.952381,0.611111] precision 0.744029 [1,0.53125,0.85,0.923077,0.789474,0.947368,0.333333,0.75,1,0.315789] predictive_accuracy 0.77 predictive_accuracy 0.77 predictive_accuracy 0.775 predictive_accuracy 0.79 predictive_accuracy 0.745 predictive_accuracy 0.825 predictive_accuracy 0.805 predictive_accuracy 0.825 predictive_accuracy 0.81 predictive_accuracy 0.725 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 0.77 [0.95,0.9,0.8,0.75,0.8,1,0.25,0.75,1,0.5] recall 0.77 [1,0.75,0.85,0.85,0.6,0.9,0.55,0.75,0.95,0.5] recall 0.775 [0.85,0.85,0.85,0.75,0.85,0.85,0.5,0.75,1,0.5] recall 0.79 [0.9,0.75,0.85,0.95,0.8,0.95,0.5,0.75,0.95,0.5] recall 0.745 [1,0.55,0.8,0.75,0.6,0.95,0.5,0.85,1,0.45] recall 0.825 [1,0.85,0.9,0.8,0.7,0.95,0.65,0.95,1,0.45] recall 0.805 [0.95,0.7,0.9,0.85,0.65,0.9,0.55,1,0.95,0.6] recall 0.825 [1,0.8,0.9,0.85,0.7,0.85,0.7,0.9,0.95,0.6] recall 0.81 [0.95,0.7,1,0.8,0.65,0.9,0.55,1,1,0.55] recall 0.725 [0.95,0.85,0.85,0.6,0.75,0.9,0.3,0.9,0.85,0.3] relative_absolute_error 0.262713 relative_absolute_error 0.261378 relative_absolute_error 0.254306 relative_absolute_error 0.245814 relative_absolute_error 0.297254 relative_absolute_error 0.216096 relative_absolute_error 0.237068 relative_absolute_error 0.222923 relative_absolute_error 0.227651 relative_absolute_error 0.29624 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 0.194755 root_mean_squared_error 0.189062 root_mean_squared_error 0.178529 root_mean_squared_error 0.183018 root_mean_squared_error 0.203947 root_mean_squared_error 0.170149 root_mean_squared_error 0.179646 root_mean_squared_error 0.167311 root_mean_squared_error 0.169017 root_mean_squared_error 0.206778 root_relative_squared_error 0.649185 root_relative_squared_error 0.630207 root_relative_squared_error 0.595095 root_relative_squared_error 0.610061 root_relative_squared_error 0.679823 root_relative_squared_error 0.567163 root_relative_squared_error 0.598819 root_relative_squared_error 0.557704 root_relative_squared_error 0.563391 root_relative_squared_error 0.689259 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 760 usercpu_time_millis 410 usercpu_time_millis 210 usercpu_time_millis 230 usercpu_time_millis 220 usercpu_time_millis 240 usercpu_time_millis 330 usercpu_time_millis 220 usercpu_time_millis 190 usercpu_time_millis 190 usercpu_time_millis_testing 40 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 720 usercpu_time_millis_training 400 usercpu_time_millis_training 210 usercpu_time_millis_training 220 usercpu_time_millis_training 210 usercpu_time_millis_training 240 usercpu_time_millis_training 320 usercpu_time_millis_training 220 usercpu_time_millis_training 190 usercpu_time_millis_training 190