2335737 1856 Miguel Cachada 14 Supervised Classification 6007 weka.AttributeSelectedClassifier_RandomForest(2) 415971 weka.classifiers.meta.AttributeSelectedClassifier -- -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W weka.classifiers.trees.RandomForest -- -P 80 -I 100 -num-slots 1 -K 250 -M 1.0 -V 0.001 -S 1 P 80 5923 I 100 5923 num-slots 1 5923 K 250 5923 M 1.0 5923 V 0.001 5923 S 1 5923 E weka.attributeSelection.CfsSubsetEval -P 1 -E 1 6007 S weka.attributeSelection.BestFirst -D 1 -N 5 6007 W weka.classifiers.trees.RandomForest 6007 study_70 weka weka_3.8.1 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 5627938 description https://api.openml.org/data/download/5627938/weka_generated_run3030918722482801243.xml -1 5627940 model_readable https://api.openml.org/data/download/5627940/WekaModel_weka.classifiers.meta.AttributeSelectedClassifier455407309290313339.model -1 5627939 model_serialized https://api.openml.org/data/download/5627939/WekaSerialized_weka.classifiers.meta.AttributeSelectedClassifier8564330844497142896.model -1 5627941 predictions https://api.openml.org/data/download/5627941/weka_generated_predictions5228649842435082049.arff area_under_roc_curve 0.981861 [0.999797,0.973321,0.991094,0.991682,0.981579,0.990531,0.947779,0.989757,0.996403,0.956669] average_cost 0 f_measure 0.833936 [0.982544,0.778055,0.935323,0.897436,0.80916,0.888889,0.594595,0.897196,0.957179,0.598985] kappa 0.815556 kb_relative_information_score 1638.104296 mean_absolute_error 0.052135 mean_prior_absolute_error 0.18 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.835095 [0.9801,0.776119,0.930693,0.921053,0.823834,0.919786,0.584541,0.842105,0.964467,0.608247] predictive_accuracy 0.834 prior_entropy 3.321928 recall 0.834 [0.985,0.78,0.94,0.875,0.795,0.86,0.605,0.96,0.95,0.59] relative_absolute_error 0.289639 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.153306 root_relative_squared_error 0.511018 total_cost 0 area_under_roc_curve 0.983417 [1,0.982361,0.994722,0.993611,0.983333,1,0.931389,0.9975,0.999722,0.951528] area_under_roc_curve 0.983833 [0.999306,0.982778,0.992917,0.988472,0.976944,0.985833,0.957917,0.995,1,0.959167] area_under_roc_curve 0.977361 [1,0.975,0.997361,0.9725,0.989722,0.989722,0.929028,0.96375,1,0.956528] area_under_roc_curve 0.987528 [0.999722,0.974583,0.996806,0.997778,0.985972,0.994306,0.974722,0.997083,0.99875,0.955556] area_under_roc_curve 0.982792 [1,0.972083,0.998611,0.997778,0.98625,0.988333,0.956111,0.984444,0.998889,0.945417] area_under_roc_curve 0.984028 [1,0.973056,0.999722,0.994583,0.991389,0.96625,0.959722,0.993194,0.999722,0.962639] area_under_roc_curve 0.985319 [1,0.984167,0.969167,0.998333,0.983333,0.989583,0.982222,0.989861,1,0.956528] area_under_roc_curve 0.979944 [0.99875,0.9725,0.999722,0.995139,0.97375,0.998889,0.933889,0.992639,0.968056,0.966111] area_under_roc_curve 0.985375 [1,0.966667,1,0.998056,0.985694,0.992222,0.950694,0.996389,1,0.964028] area_under_roc_curve 0.971556 [1,0.955139,0.964861,0.982222,0.971389,0.999444,0.899306,0.99375,0.997917,0.951528] 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 0.825651 [1,0.829268,0.9,0.894737,0.809524,0.947368,0.5,0.9,0.97561,0.5] f_measure 0.825105 [0.974359,0.809524,0.894737,0.894737,0.756757,0.8,0.615385,0.888889,0.95,0.666667] f_measure 0.823546 [1,0.681818,0.923077,0.823529,0.883721,0.871795,0.484848,0.9,1,0.666667] f_measure 0.843465 [0.95,0.777778,0.95,0.930233,0.782609,0.833333,0.682927,0.904762,0.974359,0.648649] f_measure 0.817304 [0.97561,0.769231,0.974359,0.926829,0.742857,0.85,0.564103,0.844444,0.97561,0.55] f_measure 0.8575 [1,0.790698,0.952381,0.842105,0.833333,0.95,0.697674,0.930233,0.95,0.628571] f_measure 0.874608 [1,0.780488,0.947368,0.923077,0.894737,0.904762,0.772727,0.837209,1,0.685714] f_measure 0.819681 [0.95,0.717949,0.952381,0.9,0.736842,0.864865,0.652174,0.909091,0.864865,0.648649] f_measure 0.852981 [0.97561,0.857143,0.97561,0.930233,0.85,0.918919,0.514286,0.930233,1,0.577778] f_measure 0.79175 [1,0.780488,0.883721,0.888889,0.789474,0.947368,0.425532,0.930233,0.871795,0.4] kappa 0.805556 kappa 0.805556 kappa 0.805556 kappa 0.827778 kappa 0.8 kappa 0.844444 kappa 0.861111 kappa 0.8 kappa 0.838889 kappa 0.766667 kb_relative_information_score 164.855891 kb_relative_information_score 160.720025 kb_relative_information_score 161.466776 kb_relative_information_score 164.188032 kb_relative_information_score 162.580968 kb_relative_information_score 166.014697 kb_relative_information_score 166.373072 kb_relative_information_score 163.767136 kb_relative_information_score 167.723707 kb_relative_information_score 160.413992 mean_absolute_error 0.05115 mean_absolute_error 0.05565 mean_absolute_error 0.05364 mean_absolute_error 0.05181 mean_absolute_error 0.05351 mean_absolute_error 0.05044 mean_absolute_error 0.04937 mean_absolute_error 0.05271 mean_absolute_error 0.04807 mean_absolute_error 0.055 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 0.827908 [1,0.809524,0.9,0.944444,0.772727,1,0.5,0.9,0.952381,0.5] precision 0.830309 [1,0.772727,0.944444,0.944444,0.823529,0.8,0.631579,0.8,0.95,0.636364] precision 0.838001 [1,0.625,0.947368,1,0.826087,0.894737,0.615385,0.9,1,0.571429] precision 0.851056 [0.95,0.875,0.95,0.869565,0.692308,0.9375,0.666667,0.863636,1,0.705882] precision 0.820461 [0.952381,0.789474,1,0.904762,0.866667,0.85,0.578947,0.76,0.952381,0.55] precision 0.862968 [1,0.73913,0.909091,0.888889,0.9375,0.95,0.652174,0.869565,0.95,0.733333] precision 0.88083 [1,0.761905,1,0.947368,0.944444,0.863636,0.708333,0.782609,1,0.8] precision 0.82722 [0.95,0.736842,0.909091,0.9,0.777778,0.941176,0.576923,0.833333,0.941176,0.705882] precision 0.861389 [0.952381,1,0.952381,0.869565,0.85,1,0.6,0.869565,1,0.52] precision 0.802266 [1,0.761905,0.826087,1,0.833333,1,0.37037,0.869565,0.894737,0.466667] predictive_accuracy 0.825 predictive_accuracy 0.825 predictive_accuracy 0.825 predictive_accuracy 0.845 predictive_accuracy 0.82 predictive_accuracy 0.86 predictive_accuracy 0.875 predictive_accuracy 0.82 predictive_accuracy 0.855 predictive_accuracy 0.79 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 0.825 [1,0.85,0.9,0.85,0.85,0.9,0.5,0.9,1,0.5] recall 0.825 [0.95,0.85,0.85,0.85,0.7,0.8,0.6,1,0.95,0.7] recall 0.825 [1,0.75,0.9,0.7,0.95,0.85,0.4,0.9,1,0.8] recall 0.845 [0.95,0.7,0.95,1,0.9,0.75,0.7,0.95,0.95,0.6] recall 0.82 [1,0.75,0.95,0.95,0.65,0.85,0.55,0.95,1,0.55] recall 0.86 [1,0.85,1,0.8,0.75,0.95,0.75,1,0.95,0.55] recall 0.875 [1,0.8,0.9,0.9,0.85,0.95,0.85,0.9,1,0.6] recall 0.82 [0.95,0.7,1,0.9,0.7,0.8,0.75,1,0.8,0.6] recall 0.855 [1,0.75,1,1,0.85,0.85,0.45,1,1,0.65] recall 0.79 [1,0.8,0.95,0.8,0.75,0.9,0.5,1,0.85,0.35] relative_absolute_error 0.284167 relative_absolute_error 0.309167 relative_absolute_error 0.298 relative_absolute_error 0.287833 relative_absolute_error 0.297278 relative_absolute_error 0.280222 relative_absolute_error 0.274278 relative_absolute_error 0.292833 relative_absolute_error 0.267056 relative_absolute_error 0.305556 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 0.152407 root_mean_squared_error 0.161576 root_mean_squared_error 0.158442 root_mean_squared_error 0.15095 root_mean_squared_error 0.157946 root_mean_squared_error 0.146699 root_mean_squared_error 0.144739 root_mean_squared_error 0.155798 root_mean_squared_error 0.142047 root_mean_squared_error 0.16104 root_relative_squared_error 0.508022 root_relative_squared_error 0.538586 root_relative_squared_error 0.528139 root_relative_squared_error 0.503168 root_relative_squared_error 0.526487 root_relative_squared_error 0.488998 root_relative_squared_error 0.482464 root_relative_squared_error 0.519328 root_relative_squared_error 0.473489 root_relative_squared_error 0.536801 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