2337659 1856 Miguel Cachada 14 Supervised Classification 6007 weka.AttributeSelectedClassifier_RandomForest(2) 417242 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 10.0 -V 0.001 -S 1 P 80 5923 I 100 5923 num-slots 1 5923 K 250 5923 M 10.0 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 5632078 description https://api.openml.org/data/download/5632078/weka_generated_run6802050314045486559.xml -1 5632080 model_readable https://api.openml.org/data/download/5632080/WekaModel_weka.classifiers.meta.AttributeSelectedClassifier8893304367273869988.model -1 5632079 model_serialized https://api.openml.org/data/download/5632079/WekaSerialized_weka.classifiers.meta.AttributeSelectedClassifier4116788331943479237.model -1 5632081 predictions https://api.openml.org/data/download/5632081/weka_generated_predictions1707842690185457247.arff area_under_roc_curve 0.981425 [0.999721,0.971446,0.991685,0.988114,0.980256,0.990578,0.949033,0.990422,0.997449,0.955547] average_cost 0 f_measure 0.821704 [0.977556,0.735294,0.919598,0.869565,0.793893,0.88491,0.592965,0.881119,0.954545,0.607595] kappa 0.802222 kb_relative_information_score 1601.809198 mean_absolute_error 0.056606 mean_prior_absolute_error 0.18 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.822558 [0.975124,0.721154,0.924242,0.890052,0.80829,0.905759,0.59596,0.825328,0.964286,0.615385] predictive_accuracy 0.822 prior_entropy 3.321928 recall 0.822 [0.98,0.75,0.915,0.85,0.78,0.865,0.59,0.945,0.945,0.6] relative_absolute_error 0.314479 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.158771 root_relative_squared_error 0.529236 total_cost 0 area_under_roc_curve 0.982389 [1,0.980833,0.992778,0.989444,0.977778,1,0.933889,0.996944,0.998889,0.953333] area_under_roc_curve 0.981833 [0.998889,0.978333,0.990556,0.983889,0.973889,0.984444,0.959722,0.993333,0.999722,0.955556] area_under_roc_curve 0.977458 [1,0.973611,0.9975,0.97,0.986944,0.989722,0.919861,0.981944,1,0.955] area_under_roc_curve 0.985 [0.999722,0.968611,0.995278,0.995,0.980556,0.992778,0.971389,0.996389,0.999444,0.950833] area_under_roc_curve 0.982528 [1,0.970278,0.996389,0.996389,0.988333,0.991389,0.960833,0.981944,0.998889,0.940833] area_under_roc_curve 0.983611 [1,0.972222,0.999444,0.992222,0.987222,0.979722,0.954444,0.992778,0.999722,0.958333] area_under_roc_curve 0.984208 [1,0.983333,0.962917,0.996389,0.983056,0.988889,0.978889,0.989722,1,0.958889] area_under_roc_curve 0.981319 [0.998333,0.970278,0.999722,0.986111,0.976944,0.996111,0.940833,0.993333,0.982083,0.969444] area_under_roc_curve 0.984444 [1,0.973056,0.999444,0.997778,0.983889,0.986389,0.946944,0.996667,1,0.960278] area_under_roc_curve 0.975792 [1,0.959583,0.988056,0.979444,0.973333,0.996389,0.916944,0.993611,0.997778,0.952778] 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 0.825134 [1,0.772727,0.9,0.894737,0.809524,0.947368,0.571429,0.9,0.9,0.555556] f_measure 0.800478 [0.974359,0.780488,0.864865,0.8,0.742857,0.809524,0.6,0.863636,0.95,0.619048] f_measure 0.809881 [1,0.681818,0.918919,0.777778,0.844444,0.894737,0.457143,0.871795,1,0.652174] f_measure 0.828034 [0.95,0.722222,0.926829,0.930233,0.75,0.8,0.7,0.878049,0.974359,0.648649] f_measure 0.781077 [0.97561,0.65,0.947368,0.926829,0.705882,0.85,0.5,0.791667,0.97561,0.487805] f_measure 0.84827 [1,0.755556,0.95,0.789474,0.833333,0.926829,0.684211,0.909091,0.95,0.684211] f_measure 0.859711 [0.974359,0.780488,0.9,0.947368,0.842105,0.857143,0.772727,0.837209,1,0.685714] f_measure 0.82016 [0.95,0.682927,0.952381,0.871795,0.756757,0.894737,0.619048,0.909091,0.864865,0.7] f_measure 0.841795 [0.97561,0.787879,0.95,0.909091,0.85,0.923077,0.514286,0.930233,1,0.577778] f_measure 0.79526 [0.97561,0.744186,0.883721,0.823529,0.789474,0.947368,0.478261,0.930233,0.923077,0.457143] kappa 0.805556 kappa 0.777778 kappa 0.788889 kappa 0.811111 kappa 0.761111 kappa 0.833333 kappa 0.844444 kappa 0.8 kappa 0.827778 kappa 0.772222 kb_relative_information_score 161.893498 kb_relative_information_score 157.043763 kb_relative_information_score 158.095152 kb_relative_information_score 160.086724 kb_relative_information_score 159.597209 kb_relative_information_score 161.991291 kb_relative_information_score 162.534243 kb_relative_information_score 158.917261 kb_relative_information_score 163.957112 kb_relative_information_score 157.692944 mean_absolute_error 0.055075 mean_absolute_error 0.060208 mean_absolute_error 0.058134 mean_absolute_error 0.05627 mean_absolute_error 0.057097 mean_absolute_error 0.055147 mean_absolute_error 0.054383 mean_absolute_error 0.057688 mean_absolute_error 0.052839 mean_absolute_error 0.059222 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 0.829596 [1,0.708333,0.9,0.944444,0.772727,1,0.545455,0.9,0.9,0.625] precision 0.807505 [1,0.761905,0.941176,0.8,0.866667,0.772727,0.6,0.791667,0.95,0.590909] precision 0.820944 [1,0.625,1,0.875,0.76,0.944444,0.533333,0.894737,1,0.576923] precision 0.837604 [0.95,0.8125,0.904762,0.869565,0.642857,0.933333,0.7,0.857143,1,0.705882] precision 0.788393 [0.952381,0.65,1,0.904762,0.857143,0.85,0.5625,0.678571,0.952381,0.47619] precision 0.853337 [1,0.68,0.95,0.833333,0.9375,0.904762,0.722222,0.833333,0.95,0.722222] precision 0.865992 [1,0.761905,0.9,1,0.888889,0.818182,0.708333,0.782609,1,0.8] precision 0.825389 [0.95,0.666667,0.909091,0.894737,0.823529,0.944444,0.590909,0.833333,0.941176,0.7] precision 0.852265 [0.952381,1,0.95,0.833333,0.85,0.947368,0.6,0.869565,1,0.52] precision 0.80808 [0.952381,0.695652,0.826087,1,0.833333,1,0.423077,0.869565,0.947368,0.533333] predictive_accuracy 0.825 predictive_accuracy 0.8 predictive_accuracy 0.81 predictive_accuracy 0.83 predictive_accuracy 0.785 predictive_accuracy 0.85 predictive_accuracy 0.86 predictive_accuracy 0.82 predictive_accuracy 0.845 predictive_accuracy 0.795 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 [1,0.85,0.9,0.85,0.85,0.9,0.6,0.9,0.9,0.5] recall 0.8 [0.95,0.8,0.8,0.8,0.65,0.85,0.6,0.95,0.95,0.65] recall 0.81 [1,0.75,0.85,0.7,0.95,0.85,0.4,0.85,1,0.75] recall 0.83 [0.95,0.65,0.95,1,0.9,0.7,0.7,0.9,0.95,0.6] recall 0.785 [1,0.65,0.9,0.95,0.6,0.85,0.45,0.95,1,0.5] recall 0.85 [1,0.85,0.95,0.75,0.75,0.95,0.65,1,0.95,0.65] recall 0.86 [0.95,0.8,0.9,0.9,0.8,0.9,0.85,0.9,1,0.6] recall 0.82 [0.95,0.7,1,0.85,0.7,0.85,0.65,1,0.8,0.7] recall 0.845 [1,0.65,0.95,1,0.85,0.9,0.45,1,1,0.65] recall 0.795 [1,0.8,0.95,0.7,0.75,0.9,0.55,1,0.9,0.4] relative_absolute_error 0.305973 relative_absolute_error 0.334491 relative_absolute_error 0.322968 relative_absolute_error 0.312609 relative_absolute_error 0.317203 relative_absolute_error 0.30637 relative_absolute_error 0.302127 relative_absolute_error 0.320487 relative_absolute_error 0.29355 relative_absolute_error 0.32901 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 0.15685 root_mean_squared_error 0.167046 root_mean_squared_error 0.16268 root_mean_squared_error 0.158547 root_mean_squared_error 0.161781 root_mean_squared_error 0.152915 root_mean_squared_error 0.151404 root_mean_squared_error 0.161974 root_mean_squared_error 0.148637 root_mean_squared_error 0.164821 root_relative_squared_error 0.522834 root_relative_squared_error 0.556821 root_relative_squared_error 0.542266 root_relative_squared_error 0.528491 root_relative_squared_error 0.539271 root_relative_squared_error 0.509716 root_relative_squared_error 0.504682 root_relative_squared_error 0.539912 root_relative_squared_error 0.495456 root_relative_squared_error 0.549402 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