2189908 1856 Miguel Cachada 14 Supervised Classification 5886 weka.J48(38) 302898 weka.classifiers.trees.J48 -- -C 0.01 -M 20 C 0.01 5886 M 20 5886 study_70 weka weka_3.8.1 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 5333445 description https://api.openml.org/data/download/5333445/weka_generated_run8986306896255299290.xml -1 5333447 model_readable https://api.openml.org/data/download/5333447/WekaModel_weka.classifiers.trees.J487005393459836132957.model -1 5333446 model_serialized https://api.openml.org/data/download/5333446/WekaSerialized_weka.classifiers.trees.J48146213667757949738.model -1 5333448 predictions https://api.openml.org/data/download/5333448/weka_generated_predictions9076696191852651498.arff area_under_roc_curve 0.941401 [0.989061,0.906221,0.968476,0.921922,0.900787,0.959731,0.903528,0.969767,0.978501,0.916019] average_cost 0 f_measure 0.728841 [0.958231,0.622951,0.895,0.703297,0.665,0.787879,0.432432,0.819599,0.927835,0.47619] kappa 0.701667 kb_relative_information_score 1439.385093 mean_absolute_error 0.068971 mean_prior_absolute_error 0.18 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.730872 [0.942029,0.585903,0.895,0.780488,0.665,0.795918,0.470588,0.738956,0.957447,0.477387] predictive_accuracy 0.7315 prior_entropy 3.321928 recall 0.7315 [0.975,0.665,0.895,0.64,0.665,0.78,0.4,0.92,0.9,0.475] relative_absolute_error 0.383171 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.196717 root_relative_squared_error 0.655723 total_cost 0 area_under_roc_curve 0.945569 [0.994444,0.880139,0.974861,0.966111,0.875833,0.997361,0.890833,0.9575,0.986806,0.931806] area_under_roc_curve 0.947903 [0.972083,0.921667,0.940278,0.940139,0.888333,0.965556,0.938056,0.97625,0.999167,0.9375] area_under_roc_curve 0.94175 [1,0.919167,0.951806,0.856944,0.939861,0.975556,0.911528,0.927778,0.998056,0.936806] area_under_roc_curve 0.943514 [0.983194,0.898333,0.989861,0.970556,0.91125,0.909167,0.92625,0.984028,0.970972,0.891528] area_under_roc_curve 0.944819 [0.997222,0.899583,0.948333,0.958056,0.947222,0.935833,0.933472,0.916667,0.995833,0.915972] area_under_roc_curve 0.938431 [0.997222,0.905139,0.983333,0.879861,0.887361,0.952917,0.890833,0.987639,0.996389,0.903611] area_under_roc_curve 0.937806 [0.9975,0.966806,0.954028,0.935278,0.866667,0.934583,0.914306,0.987083,0.939722,0.882083] area_under_roc_curve 0.925458 [0.968611,0.890694,0.994444,0.832917,0.851528,0.978056,0.906389,0.985139,0.934583,0.912222] area_under_roc_curve 0.947167 [0.992917,0.859861,0.987222,0.976528,0.897361,0.953194,0.887917,0.976944,1,0.939722] area_under_roc_curve 0.947028 [0.991667,0.923194,0.958333,0.907361,0.930139,0.987778,0.846528,0.992222,0.985833,0.947222] 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 0.722254 [0.952381,0.612245,0.842105,0.777778,0.697674,0.923077,0.390244,0.829268,0.894737,0.30303] f_measure 0.711325 [0.974359,0.590909,0.864865,0.619048,0.666667,0.727273,0.487805,0.818182,0.952381,0.411765] f_measure 0.732057 [1,0.651163,0.894737,0.518519,0.791667,0.772727,0.461538,0.857143,0.923077,0.45] f_measure 0.750805 [0.904762,0.666667,0.926829,0.809524,0.651163,0.789474,0.540541,0.809524,0.923077,0.486486] f_measure 0.686846 [0.97561,0.526316,0.85,0.772727,0.648649,0.722222,0.352941,0.72,0.95,0.35] f_measure 0.733799 [0.97561,0.583333,0.926829,0.628571,0.594595,0.894737,0.457143,0.816327,0.974359,0.486486] f_measure 0.711138 [0.974359,0.736842,0.871795,0.6875,0.545455,0.714286,0.307692,0.826087,0.947368,0.5] f_measure 0.726961 [0.95,0.619048,0.952381,0.702703,0.594595,0.736842,0.511628,0.851064,0.864865,0.486486] f_measure 0.778997 [0.95,0.615385,0.926829,0.85,0.75,0.810811,0.411765,0.808511,1,0.666667] f_measure 0.710771 [0.930233,0.638298,0.883721,0.551724,0.684211,0.8,0.35,0.878049,0.833333,0.55814] kappa 0.694444 kappa 0.683333 kappa 0.711111 kappa 0.727778 kappa 0.661111 kappa 0.711111 kappa 0.683333 kappa 0.7 kappa 0.761111 kappa 0.683333 kb_relative_information_score 143.16936 kb_relative_information_score 141.192199 kb_relative_information_score 147.634234 kb_relative_information_score 145.508137 kb_relative_information_score 139.49374 kb_relative_information_score 144.832822 kb_relative_information_score 142.366438 kb_relative_information_score 143.596856 kb_relative_information_score 149.425394 kb_relative_information_score 142.165914 mean_absolute_error 0.068558 mean_absolute_error 0.070899 mean_absolute_error 0.067507 mean_absolute_error 0.066598 mean_absolute_error 0.071826 mean_absolute_error 0.067685 mean_absolute_error 0.071079 mean_absolute_error 0.069852 mean_absolute_error 0.065216 mean_absolute_error 0.070488 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 0.73093 [0.909091,0.517241,0.888889,0.875,0.652174,0.947368,0.380952,0.809524,0.944444,0.384615] precision 0.722185 [1,0.541667,0.941176,0.590909,0.846154,0.666667,0.47619,0.75,0.909091,0.5] precision 0.762928 [1,0.608696,0.944444,1,0.678571,0.708333,0.473684,0.818182,0.947368,0.45] precision 0.750511 [0.863636,0.684211,0.904762,0.772727,0.608696,0.833333,0.588235,0.772727,0.947368,0.529412] precision 0.691322 [0.952381,0.555556,0.85,0.708333,0.705882,0.8125,0.428571,0.6,0.95,0.35] precision 0.743438 [0.952381,0.5,0.904762,0.733333,0.647059,0.944444,0.533333,0.689655,1,0.529412] precision 0.755732 [1,0.777778,0.894737,0.916667,0.5,0.681818,0.666667,0.730769,1,0.388889] precision 0.732913 [0.95,0.590909,0.909091,0.764706,0.647059,0.777778,0.478261,0.740741,0.941176,0.529412] precision 0.780876 [0.95,0.631579,0.904762,0.85,0.75,0.882353,0.5,0.703704,1,0.636364] precision 0.73287 [0.869565,0.555556,0.826087,0.888889,0.722222,0.8,0.35,0.857143,0.9375,0.521739] predictive_accuracy 0.725 predictive_accuracy 0.715 predictive_accuracy 0.74 predictive_accuracy 0.755 predictive_accuracy 0.695 predictive_accuracy 0.74 predictive_accuracy 0.715 predictive_accuracy 0.73 predictive_accuracy 0.785 predictive_accuracy 0.715 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 0.725 [1,0.75,0.8,0.7,0.75,0.9,0.4,0.85,0.85,0.25] recall 0.715 [0.95,0.65,0.8,0.65,0.55,0.8,0.5,0.9,1,0.35] recall 0.74 [1,0.7,0.85,0.35,0.95,0.85,0.45,0.9,0.9,0.45] recall 0.755 [0.95,0.65,0.95,0.85,0.7,0.75,0.5,0.85,0.9,0.45] recall 0.695 [1,0.5,0.85,0.85,0.6,0.65,0.3,0.9,0.95,0.35] recall 0.74 [1,0.7,0.95,0.55,0.55,0.85,0.4,1,0.95,0.45] recall 0.715 [0.95,0.7,0.85,0.55,0.6,0.75,0.2,0.95,0.9,0.7] recall 0.73 [0.95,0.65,1,0.65,0.55,0.7,0.55,1,0.8,0.45] recall 0.785 [0.95,0.6,0.95,0.85,0.75,0.75,0.35,0.95,1,0.7] recall 0.715 [1,0.75,0.95,0.4,0.65,0.8,0.35,0.9,0.75,0.6] relative_absolute_error 0.380877 relative_absolute_error 0.393882 relative_absolute_error 0.37504 relative_absolute_error 0.369991 relative_absolute_error 0.399034 relative_absolute_error 0.37603 relative_absolute_error 0.394881 relative_absolute_error 0.388064 relative_absolute_error 0.362312 relative_absolute_error 0.391602 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 0.200259 root_mean_squared_error 0.200691 root_mean_squared_error 0.189942 root_mean_squared_error 0.194191 root_mean_squared_error 0.207271 root_mean_squared_error 0.192522 root_mean_squared_error 0.200001 root_mean_squared_error 0.199378 root_mean_squared_error 0.182429 root_mean_squared_error 0.19937 root_relative_squared_error 0.667531 root_relative_squared_error 0.66897 root_relative_squared_error 0.633141 root_relative_squared_error 0.647304 root_relative_squared_error 0.690904 root_relative_squared_error 0.641741 root_relative_squared_error 0.66667 root_relative_squared_error 0.664594 root_relative_squared_error 0.608098 root_relative_squared_error 0.664566 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