578716 1 Jan van Rijn 14 Supervised Classification 2264 weka.LADTree(7) 2900 weka.classifiers.trees.LADTree -- -B 10 B 10 2264 weka weka_3.7.13 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 1997637 description https://api.openml.org/data/download/1997637/weka_generated_run7713170359364953649.xml -1 1997639 model_readable https://api.openml.org/data/download/1997639/WekaModel_weka.classifiers.trees.LADTree9215897063133217965.model -1 1997638 model_serialized https://api.openml.org/data/download/1997638/WekaSerialized_weka.classifiers.trees.LADTree4791440975159265392.model -1 1997640 predictions https://api.openml.org/data/download/1997640/weka_generated_predictions3705373741679148200.arff area_under_roc_curve 0.956073 [0.999872,0.904651,0.982286,0.963511,0.935224,0.972757,0.932981,0.974714,0.983407,0.911326] average_cost 0 f_measure 0.734896 [0.985149,0.630728,0.893827,0.786571,0.680412,0.818627,0.519824,0.825175,0.896725,0.311927] kappa 0.713333 kb_relative_information_score 1438.129106 mean_absolute_error 0.075413 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 0.734602 [0.97549,0.684211,0.882927,0.75576,0.702128,0.802885,0.464567,0.772926,0.903553,0.401575] predictive_accuracy 0.742 prior_entropy 3.321928 recall 0.742 [0.995,0.585,0.905,0.82,0.66,0.835,0.59,0.885,0.89,0.255] relative_absolute_error 0.41896 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.188641 root_relative_squared_error 0.628805 scimark_benchmark 1316.83104 [756.7204292769896, 927.982159410278, 523.5210931695227, 1254.2775634715342, 3121.6539538930647] total_cost 0 usercpu_time_millis 6110 usercpu_time_millis_testing 0 usercpu_time_millis_training 6110 area_under_roc_curve 0.948861 [1,0.871806,0.973056,0.975694,0.907639,0.999167,0.889722,0.965972,0.99125,0.914306] area_under_roc_curve 0.957111 [1,0.9325,0.991806,0.974028,0.883056,0.953472,0.948611,0.974306,0.993611,0.919722] area_under_roc_curve 0.951861 [1,0.884861,0.993889,0.926389,0.972222,0.971528,0.93125,0.931111,0.998889,0.908472] area_under_roc_curve 0.951417 [0.998611,0.872222,0.983056,0.954167,0.964028,0.96875,0.959306,0.975833,0.97625,0.861944] area_under_roc_curve 0.955389 [1,0.885417,0.956944,0.976111,0.933472,0.98125,0.936111,0.987083,0.994583,0.902917] area_under_roc_curve 0.96425 [1,0.945417,0.996667,0.938611,0.950556,0.965972,0.94125,0.985972,0.984306,0.93375] area_under_roc_curve 0.96375 [1,0.919306,0.967778,0.979583,0.979028,0.96,0.964444,0.978056,0.998333,0.890972] area_under_roc_curve 0.958694 [1,0.892639,0.996528,0.976389,0.941111,0.972222,0.94125,0.988889,0.942778,0.935139] area_under_roc_curve 0.964056 [1,0.915694,0.997778,0.988889,0.922361,0.969861,0.940278,0.988056,0.996944,0.920694] area_under_roc_curve 0.957083 [1,0.945556,0.966389,0.964583,0.93,0.985694,0.898056,0.995556,0.947917,0.937083] 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 0.674663 [0.97561,0.512821,0.844444,0.717949,0.682927,0.947368,0.27907,0.756757,0.871795,0.157895] f_measure 0.713487 [1,0.705882,0.871795,0.772727,0.611111,0.75,0.592593,0.782609,0.9,0.148148] f_measure 0.772535 [0.97561,0.684211,0.894737,0.780488,0.790698,0.780488,0.622222,0.8,0.930233,0.466667] f_measure 0.72556 [0.974359,0.5625,0.85,0.755556,0.680851,0.789474,0.457143,0.857143,0.9,0.428571] f_measure 0.693895 [1,0.6,0.923077,0.8,0.424242,0.755556,0.421053,0.790698,0.9,0.324324] f_measure 0.702874 [1,0.514286,0.95,0.7,0.634146,0.837209,0.342857,0.818182,0.863636,0.368421] f_measure 0.764817 [1,0.631579,0.85,0.9,0.810811,0.837209,0.64,0.761905,0.95,0.266667] f_measure 0.739428 [1,0.619048,0.952381,0.761905,0.722222,0.8,0.62963,0.909091,0.833333,0.166667] f_measure 0.775242 [1,0.742857,0.95,0.863636,0.588235,0.8,0.6,0.833333,0.974359,0.4] f_measure 0.760117 [0.930233,0.736842,0.857143,0.810811,0.8,0.9,0.48,0.930233,0.833333,0.322581] kappa 0.638889 kappa 0.7 kappa 0.755556 kappa 0.7 kappa 0.672222 kappa 0.683333 kappa 0.75 kappa 0.733333 kappa 0.761111 kappa 0.738889 kb_relative_information_score 139.273322 kb_relative_information_score 143.155257 kb_relative_information_score 143.424104 kb_relative_information_score 140.974521 kb_relative_information_score 139.158601 kb_relative_information_score 147.041114 kb_relative_information_score 147.878748 kb_relative_information_score 144.916855 kb_relative_information_score 146.569861 kb_relative_information_score 145.736723 mean_absolute_error 0.080364 mean_absolute_error 0.077024 mean_absolute_error 0.076296 mean_absolute_error 0.077184 mean_absolute_error 0.077154 mean_absolute_error 0.070928 mean_absolute_error 0.070225 mean_absolute_error 0.075906 mean_absolute_error 0.074593 mean_absolute_error 0.074453 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 0.678801 [0.952381,0.526316,0.76,0.736842,0.666667,1,0.26087,0.823529,0.894737,0.166667] precision 0.724632 [1,0.857143,0.894737,0.708333,0.6875,0.75,0.470588,0.692308,0.9,0.285714] precision 0.781155 [0.952381,0.722222,0.944444,0.761905,0.73913,0.761905,0.56,0.8,0.869565,0.7] precision 0.736653 [1,0.75,0.85,0.68,0.592593,0.833333,0.533333,0.818182,0.9,0.409091] precision 0.692235 [1,0.6,0.947368,0.72,0.538462,0.68,0.444444,0.73913,0.9,0.352941] precision 0.698221 [1,0.6,0.95,0.7,0.619048,0.782609,0.4,0.75,0.791667,0.388889] precision 0.769223 [1,0.666667,0.85,0.9,0.882353,0.782609,0.533333,0.727273,0.95,0.4] precision 0.761061 [1,0.590909,0.909091,0.727273,0.8125,0.8,0.5,0.833333,0.9375,0.5] precision 0.79369 [1,0.866667,0.95,0.791667,0.714286,0.8,0.5,0.714286,1,0.6] precision 0.770949 [0.869565,0.777778,0.818182,0.882353,0.8,0.9,0.4,0.869565,0.9375,0.454545] predictive_accuracy 0.675 predictive_accuracy 0.73 predictive_accuracy 0.78 predictive_accuracy 0.73 predictive_accuracy 0.705 predictive_accuracy 0.715 predictive_accuracy 0.775 predictive_accuracy 0.76 predictive_accuracy 0.785 predictive_accuracy 0.765 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 0.675 [1,0.5,0.95,0.7,0.7,0.9,0.3,0.7,0.85,0.15] recall 0.73 [1,0.6,0.85,0.85,0.55,0.75,0.8,0.9,0.9,0.1] recall 0.78 [1,0.65,0.85,0.8,0.85,0.8,0.7,0.8,1,0.35] recall 0.73 [0.95,0.45,0.85,0.85,0.8,0.75,0.4,0.9,0.9,0.45] recall 0.705 [1,0.6,0.9,0.9,0.35,0.85,0.4,0.85,0.9,0.3] recall 0.715 [1,0.45,0.95,0.7,0.65,0.9,0.3,0.9,0.95,0.35] recall 0.775 [1,0.6,0.85,0.9,0.75,0.9,0.8,0.8,0.95,0.2] recall 0.76 [1,0.65,1,0.8,0.65,0.8,0.85,1,0.75,0.1] recall 0.785 [1,0.65,0.95,0.95,0.5,0.8,0.75,1,0.95,0.3] recall 0.765 [1,0.7,0.9,0.75,0.8,0.9,0.6,1,0.75,0.25] relative_absolute_error 0.446469 relative_absolute_error 0.427911 relative_absolute_error 0.423866 relative_absolute_error 0.428802 relative_absolute_error 0.428632 relative_absolute_error 0.394046 relative_absolute_error 0.390141 relative_absolute_error 0.4217 relative_absolute_error 0.414406 relative_absolute_error 0.413628 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 0.198773 root_mean_squared_error 0.193719 root_mean_squared_error 0.19075 root_mean_squared_error 0.193741 root_mean_squared_error 0.195687 root_mean_squared_error 0.182867 root_mean_squared_error 0.181549 root_mean_squared_error 0.186147 root_mean_squared_error 0.180672 root_mean_squared_error 0.181411 root_relative_squared_error 0.662577 root_relative_squared_error 0.64573 root_relative_squared_error 0.635835 root_relative_squared_error 0.645804 root_relative_squared_error 0.65229 root_relative_squared_error 0.609556 root_relative_squared_error 0.605163 root_relative_squared_error 0.620492 root_relative_squared_error 0.602238 root_relative_squared_error 0.604704 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 5760 usercpu_time_millis 6170 usercpu_time_millis 5930 usercpu_time_millis 5970 usercpu_time_millis 5980 usercpu_time_millis 6060 usercpu_time_millis 5990 usercpu_time_millis 5940 usercpu_time_millis 5810 usercpu_time_millis 5580 usercpu_time_millis_testing 0 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_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 5760 usercpu_time_millis_training 6170 usercpu_time_millis_training 5920 usercpu_time_millis_training 5970 usercpu_time_millis_training 5980 usercpu_time_millis_training 6060 usercpu_time_millis_training 5980 usercpu_time_millis_training 5940 usercpu_time_millis_training 5810 usercpu_time_millis_training 5580