2338450 1856 Miguel Cachada 14 Supervised Classification 5978 weka.AttributeSelectedClassifier_J48(2) 417957 weka.classifiers.meta.AttributeSelectedClassifier -- -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W weka.classifiers.trees.J48 -- -C 0.01 -M 20 C 0.01 5886 M 20 5886 E weka.attributeSelection.CfsSubsetEval -P 1 -E 1 5978 S weka.attributeSelection.BestFirst -D 1 -N 5 5978 W weka.classifiers.trees.J48 5978 study_70 weka weka_3.8.1 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 5633966 description https://api.openml.org/data/download/5633966/weka_generated_run6407334448853582087.xml -1 5633968 model_readable https://api.openml.org/data/download/5633968/WekaModel_weka.classifiers.meta.AttributeSelectedClassifier4703745143426183192.model -1 5633967 model_serialized https://api.openml.org/data/download/5633967/WekaSerialized_weka.classifiers.meta.AttributeSelectedClassifier5321076099704731351.model -1 5633969 predictions https://api.openml.org/data/download/5633969/weka_generated_predictions36854131306708237.arff area_under_roc_curve 0.940235 [0.989117,0.902908,0.968522,0.925781,0.9021,0.957056,0.900524,0.969743,0.976236,0.910364] average_cost 0 f_measure 0.725416 [0.958231,0.616471,0.895,0.703297,0.664975,0.794045,0.419098,0.819599,0.928205,0.455243] kappa 0.698333 kb_relative_information_score 1433.42128 mean_absolute_error 0.069476 mean_prior_absolute_error 0.18 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.726706 [0.942029,0.582222,0.895,0.780488,0.675258,0.788177,0.446328,0.738956,0.952632,0.465969] predictive_accuracy 0.7285 prior_entropy 3.321928 recall 0.7285 [0.975,0.655,0.895,0.64,0.655,0.8,0.395,0.92,0.905,0.445] relative_absolute_error 0.38598 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.197743 root_relative_squared_error 0.659143 total_cost 0 area_under_roc_curve 0.942819 [0.994444,0.880139,0.974861,0.9625,0.875139,0.997361,0.885833,0.9575,0.986806,0.913611] area_under_roc_curve 0.944958 [0.972083,0.921667,0.940278,0.940139,0.888333,0.965556,0.921528,0.97625,0.999167,0.924583] area_under_roc_curve 0.940208 [1,0.919167,0.951806,0.855833,0.939861,0.976667,0.910417,0.927778,0.998056,0.9225] area_under_roc_curve 0.933014 [0.983194,0.848611,0.990417,0.969444,0.904583,0.908056,0.903611,0.982361,0.970972,0.868889] area_under_roc_curve 0.946847 [0.997222,0.899583,0.948333,0.955417,0.949861,0.940278,0.937083,0.916667,0.995833,0.928194] area_under_roc_curve 0.941889 [0.997222,0.905139,0.983333,0.879861,0.905139,0.953611,0.896111,0.987639,0.993889,0.916944] 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 0.928472 [0.968611,0.888611,0.994444,0.871389,0.850694,0.976667,0.900556,0.985139,0.932083,0.916528] 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 0.940278 [0.991667,0.923194,0.958333,0.909306,0.929861,0.959167,0.849861,0.992222,0.964722,0.924444] 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 0.706728 [0.952381,0.612245,0.842105,0.777778,0.697674,0.923077,0.222222,0.829268,0.894737,0.315789] f_measure 0.701588 [0.974359,0.590909,0.864865,0.619048,0.666667,0.727273,0.571429,0.818182,0.952381,0.230769] f_measure 0.73651 [1,0.651163,0.894737,0.518519,0.791667,0.772727,0.444444,0.857143,0.923077,0.511628] f_measure 0.702913 [0.904762,0.594595,0.926829,0.809524,0.622222,0.789474,0.333333,0.809524,0.923077,0.315789] f_measure 0.70059 [0.97561,0.526316,0.85,0.772727,0.666667,0.790698,0.363636,0.72,0.95,0.390244] f_measure 0.749586 [0.97561,0.583333,0.926829,0.628571,0.594595,0.894737,0.585366,0.816327,0.974359,0.516129] 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 0.717456 [0.95,0.619048,0.952381,0.702703,0.594595,0.736842,0.390244,0.851064,0.864865,0.512821] 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 0.715776 [0.930233,0.638298,0.883721,0.551724,0.702703,0.8,0.444444,0.878049,0.842105,0.486486] kappa 0.677778 kappa 0.683333 kappa 0.716667 kappa 0.677778 kappa 0.677778 kappa 0.727778 kappa 0.683333 kappa 0.688889 kappa 0.761111 kappa 0.688889 kb_relative_information_score 142.104887 kb_relative_information_score 141.168307 kb_relative_information_score 146.19968 kb_relative_information_score 139.934852 kb_relative_information_score 141.41531 kb_relative_information_score 146.055907 kb_relative_information_score 142.366438 kb_relative_information_score 142.728082 kb_relative_information_score 149.425394 kb_relative_information_score 142.022423 mean_absolute_error 0.069525 mean_absolute_error 0.072121 mean_absolute_error 0.068403 mean_absolute_error 0.071076 mean_absolute_error 0.069564 mean_absolute_error 0.067499 mean_absolute_error 0.071079 mean_absolute_error 0.069915 mean_absolute_error 0.065216 mean_absolute_error 0.070366 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 0.712707 [0.909091,0.517241,0.888889,0.875,0.652174,0.947368,0.25,0.809524,0.944444,0.333333] precision 0.722842 [1,0.541667,0.941176,0.590909,0.846154,0.666667,0.482759,0.75,0.909091,0.5] precision 0.768386 [1,0.608696,0.944444,1,0.678571,0.708333,0.5,0.818182,0.947368,0.478261] precision 0.700995 [0.863636,0.647059,0.904762,0.772727,0.56,0.833333,0.375,0.772727,0.947368,0.333333] precision 0.719789 [0.952381,0.555556,0.85,0.708333,1,0.73913,0.461538,0.6,0.95,0.380952] precision 0.767034 [0.952381,0.5,0.904762,0.733333,0.647059,0.944444,0.571429,0.689655,1,0.727273] precision 0.755732 [1,0.777778,0.894737,0.916667,0.5,0.681818,0.666667,0.730769,1,0.388889] precision 0.722873 [0.95,0.590909,0.909091,0.764706,0.647059,0.777778,0.380952,0.740741,0.941176,0.526316] precision 0.780876 [0.95,0.631579,0.904762,0.85,0.75,0.882353,0.5,0.703704,1,0.636364] precision 0.738025 [0.869565,0.555556,0.826087,0.888889,0.764706,0.8,0.4,0.857143,0.888889,0.529412] predictive_accuracy 0.71 predictive_accuracy 0.715 predictive_accuracy 0.745 predictive_accuracy 0.71 predictive_accuracy 0.71 predictive_accuracy 0.755 predictive_accuracy 0.715 predictive_accuracy 0.72 predictive_accuracy 0.785 predictive_accuracy 0.72 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 0.71 [1,0.75,0.8,0.7,0.75,0.9,0.2,0.85,0.85,0.3] recall 0.715 [0.95,0.65,0.8,0.65,0.55,0.8,0.7,0.9,1,0.15] recall 0.745 [1,0.7,0.85,0.35,0.95,0.85,0.4,0.9,0.9,0.55] recall 0.71 [0.95,0.55,0.95,0.85,0.7,0.75,0.3,0.85,0.9,0.3] recall 0.71 [1,0.5,0.85,0.85,0.5,0.85,0.3,0.9,0.95,0.4] recall 0.755 [1,0.7,0.95,0.55,0.55,0.85,0.6,1,0.95,0.4] recall 0.715 [0.95,0.7,0.85,0.55,0.6,0.75,0.2,0.95,0.9,0.7] recall 0.72 [0.95,0.65,1,0.65,0.55,0.7,0.4,1,0.8,0.5] recall 0.785 [0.95,0.6,0.95,0.85,0.75,0.75,0.35,0.95,1,0.7] recall 0.72 [1,0.75,0.95,0.4,0.65,0.8,0.5,0.9,0.8,0.45] relative_absolute_error 0.386249 relative_absolute_error 0.400673 relative_absolute_error 0.380018 relative_absolute_error 0.394866 relative_absolute_error 0.386468 relative_absolute_error 0.374993 relative_absolute_error 0.394881 relative_absolute_error 0.388418 relative_absolute_error 0.362312 relative_absolute_error 0.390921 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 0.20138 root_mean_squared_error 0.200647 root_mean_squared_error 0.192773 root_mean_squared_error 0.204533 root_mean_squared_error 0.203135 root_mean_squared_error 0.18949 root_mean_squared_error 0.200001 root_mean_squared_error 0.200666 root_mean_squared_error 0.182429 root_mean_squared_error 0.201237 root_relative_squared_error 0.671265 root_relative_squared_error 0.668823 root_relative_squared_error 0.642577 root_relative_squared_error 0.681776 root_relative_squared_error 0.677115 root_relative_squared_error 0.631634 root_relative_squared_error 0.66667 root_relative_squared_error 0.668886 root_relative_squared_error 0.608098 root_relative_squared_error 0.67079 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