68026 2 Joaquin Vanschoren 14 Supervised Classification 530 weka.Bagging_NaiveBayes(2) 802 weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 160 -W weka.classifiers.bayes.NaiveBayes I 160 530 P 100 530 S 1 530 W weka.classifiers.bayes.NaiveBayes 530 num-slots 1 530 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 190594 description https://api.openml.org/data/download/190594/weka_generated_run6692979340130423092.xml -1 190597 model_readable https://api.openml.org/data/download/190597/WekaModel_weka.classifiers.meta.Bagging375646718395805744.model -1 190596 model_serialized https://api.openml.org/data/download/190596/WekaSerialized_weka.classifiers.meta.Bagging6122953060384065643.model -1 190595 predictions https://api.openml.org/data/download/190595/weka_generated_predictions4329165089296282579.arff area_under_roc_curve 0.959514 [0.9925,0.925964,0.986472,0.974278,0.931971,0.986361,0.920317,0.971919,0.988836,0.916525] average_cost 0 build_cpu_time 4.365 build_memory 1125002890.4 f_measure 0.76484 [0.966408,0.663848,0.910526,0.828877,0.713924,0.870647,0.472727,0.804819,0.953086,0.463542] kappa 0.737778 kb_relative_information_score 1567.764396 mean_absolute_error 0.049121 mean_prior_absolute_error 0.18 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.771022 [1,0.575092,0.961111,0.890805,0.723077,0.866337,0.491892,0.776744,0.941463,0.483696] predictive_accuracy 0.764 prior_entropy 3.321928 recall 0.764 [0.935,0.785,0.865,0.775,0.705,0.875,0.455,0.835,0.965,0.445] relative_absolute_error 0.272892 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.191369 root_relative_squared_error 0.637897 scimark_benchmark 947.384641 [557.2654022646841, 1015.2555353338006, 484.54051677983614, 912.4399121942508, 1767.4218398162996] total_cost 0 area_under_roc_curve 0.954597 [0.975,0.943333,0.993333,0.979167,0.927778,0.998889,0.852222,0.9625,0.995694,0.918056] area_under_roc_curve 0.956042 [1,0.930694,0.971389,0.96625,0.882778,0.991389,0.945833,0.959028,0.973889,0.939167] area_under_roc_curve 0.959069 [0.95,0.932778,0.997778,0.944167,0.968194,0.989444,0.925278,0.940417,0.996806,0.945833] area_under_roc_curve 0.967611 [1,0.923056,0.996944,0.989722,0.980556,0.995556,0.927778,0.937361,0.974028,0.951111] area_under_roc_curve 0.946597 [1,0.859583,0.970833,0.918333,0.926944,0.984722,0.912222,0.986111,1,0.907222] area_under_roc_curve 0.961778 [1,0.923472,1,0.980417,0.93875,0.970972,0.912222,0.990278,1,0.901667] area_under_roc_curve 0.961875 [1,0.905278,0.971944,0.992222,0.931528,0.965556,0.937083,0.985556,0.999722,0.929861] area_under_roc_curve 0.977528 [1,0.956944,0.998889,0.994167,0.948472,0.994722,0.95625,0.988611,0.999722,0.9375] area_under_roc_curve 0.964556 [1,0.919583,1,0.991667,0.925,0.966528,0.952222,0.99,1,0.900556] area_under_roc_curve 0.949111 [1,0.966528,0.960694,0.988056,0.890417,0.999444,0.904306,0.983056,0.948333,0.850278] 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 build_cpu_time 4.575 build_cpu_time 4.547 build_cpu_time 4.272 build_cpu_time 4.312 build_cpu_time 4.469 build_cpu_time 4.237 build_cpu_time 4.309 build_cpu_time 4.466 build_cpu_time 4.253 build_cpu_time 4.21 build_memory 375585352 build_memory 1633842888 build_memory 1293804448 build_memory 978511192 build_memory 592644808 build_memory 1614122456 build_memory 1154866352 build_memory 707037160 build_memory 1635423928 build_memory 1264190320 f_measure 0.71525 [0.947368,0.641509,0.820513,0.842105,0.810811,0.95,0.157895,0.722222,0.952381,0.307692] f_measure 0.771928 [1,0.638298,0.894737,0.923077,0.685714,0.829268,0.55814,0.780488,0.923077,0.486486] f_measure 0.769997 [0.918919,0.576923,0.888889,0.702703,0.772727,0.894737,0.631579,0.75,0.952381,0.611111] f_measure 0.785058 [0.918919,0.651163,0.888889,0.878049,0.727273,0.904762,0.628571,0.769231,0.883721,0.6] f_measure 0.726843 [1,0.595745,0.864865,0.777778,0.604651,0.790698,0.461538,0.809524,1,0.363636] f_measure 0.756061 [0.974359,0.761905,1,0.764706,0.634146,0.878049,0.368421,0.844444,0.97561,0.358974] f_measure 0.7881 [0.947368,0.714286,0.947368,0.857143,0.702703,0.829268,0.615385,0.818182,0.97561,0.473684] f_measure 0.795391 [1,0.693878,0.923077,0.9,0.742857,0.842105,0.577778,0.829268,0.974359,0.470588] f_measure 0.794081 [0.974359,0.681818,0.974359,0.857143,0.731707,0.842105,0.424242,0.883721,0.97561,0.595745] f_measure 0.735848 [0.974359,0.703704,0.894737,0.75,0.736842,0.95,0.27027,0.818182,0.918919,0.341463] kappa 0.683333 kappa 0.744444 kappa 0.738889 kappa 0.761111 kappa 0.7 kappa 0.733333 kappa 0.766667 kappa 0.772222 kappa 0.772222 kappa 0.705556 kb_relative_information_score 149.777994 kb_relative_information_score 157.425501 kb_relative_information_score 154.21223 kb_relative_information_score 156.898563 kb_relative_information_score 148.417727 kb_relative_information_score 159.679667 kb_relative_information_score 160.574633 kb_relative_information_score 165.912646 kb_relative_information_score 163.913448 kb_relative_information_score 150.951986 mean_absolute_error 0.054399 mean_absolute_error 0.049198 mean_absolute_error 0.052184 mean_absolute_error 0.049414 mean_absolute_error 0.055538 mean_absolute_error 0.046166 mean_absolute_error 0.045748 mean_absolute_error 0.04077 mean_absolute_error 0.043909 mean_absolute_error 0.05388 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 0.728255 [1,0.515152,0.842105,0.888889,0.882353,0.95,0.166667,0.8125,0.909091,0.315789] precision 0.781732 [1,0.555556,0.944444,0.947368,0.8,0.809524,0.521739,0.761905,0.947368,0.529412] precision 0.789949 [1,0.46875,1,0.764706,0.708333,0.944444,0.666667,0.75,0.909091,0.6875] precision 0.794504 [1,0.608696,1,0.857143,0.666667,0.863636,0.733333,0.789474,0.826087,0.6] precision 0.734699 [1,0.518519,0.941176,0.875,0.565217,0.73913,0.473684,0.772727,1,0.461538] precision 0.760173 [1,0.727273,1,0.928571,0.619048,0.857143,0.388889,0.76,0.952381,0.368421] precision 0.790819 [1,0.681818,1,0.818182,0.764706,0.809524,0.631579,0.75,0.952381,0.5] precision 0.809008 [1,0.586207,0.947368,0.9,0.866667,0.888889,0.52,0.809524,1,0.571429] precision 0.806362 [1,0.625,1,1,0.714286,0.888889,0.538462,0.826087,0.952381,0.518519] precision 0.76085 [1,0.558824,0.944444,1,0.777778,0.95,0.294118,0.75,1,0.333333] predictive_accuracy 0.715 predictive_accuracy 0.77 predictive_accuracy 0.765 predictive_accuracy 0.785 predictive_accuracy 0.73 predictive_accuracy 0.76 predictive_accuracy 0.79 predictive_accuracy 0.795 predictive_accuracy 0.795 predictive_accuracy 0.735 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 0.715 [0.9,0.85,0.8,0.8,0.75,0.95,0.15,0.65,1,0.3] recall 0.77 [1,0.75,0.85,0.9,0.6,0.85,0.6,0.8,0.9,0.45] recall 0.765 [0.85,0.75,0.8,0.65,0.85,0.85,0.6,0.75,1,0.55] recall 0.785 [0.85,0.7,0.8,0.9,0.8,0.95,0.55,0.75,0.95,0.6] recall 0.73 [1,0.7,0.8,0.7,0.65,0.85,0.45,0.85,1,0.3] recall 0.76 [0.95,0.8,1,0.65,0.65,0.9,0.35,0.95,1,0.35] recall 0.79 [0.9,0.75,0.9,0.9,0.65,0.85,0.6,0.9,1,0.45] recall 0.795 [1,0.85,0.9,0.9,0.65,0.8,0.65,0.85,0.95,0.4] recall 0.795 [0.95,0.75,0.95,0.75,0.75,0.8,0.35,0.95,1,0.7] recall 0.735 [0.95,0.95,0.85,0.6,0.7,0.95,0.25,0.9,0.85,0.35] relative_absolute_error 0.302216 relative_absolute_error 0.273324 relative_absolute_error 0.289911 relative_absolute_error 0.274524 relative_absolute_error 0.308542 relative_absolute_error 0.256479 relative_absolute_error 0.254155 relative_absolute_error 0.226499 relative_absolute_error 0.243938 relative_absolute_error 0.299336 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 0.207264 root_mean_squared_error 0.187885 root_mean_squared_error 0.195828 root_mean_squared_error 0.189302 root_mean_squared_error 0.21122 root_mean_squared_error 0.18533 root_mean_squared_error 0.183578 root_mean_squared_error 0.169846 root_mean_squared_error 0.174145 root_mean_squared_error 0.204798 root_relative_squared_error 0.690881 root_relative_squared_error 0.626282 root_relative_squared_error 0.652759 root_relative_squared_error 0.631006 root_relative_squared_error 0.704067 root_relative_squared_error 0.617767 root_relative_squared_error 0.611927 root_relative_squared_error 0.566154 root_relative_squared_error 0.580484 root_relative_squared_error 0.68266 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