3883229 1856 Miguel Cachada 14 Supervised Classification 6886 weka.FilteredClassifier_AttributeSelectedClassifier_AdaBoostM1_IBk(1) 1919470 weka.classifiers.meta.FilteredClassifier -- -F "weka.filters.unsupervised.attribute.Standardize " -W weka.classifiers.meta.AttributeSelectedClassifier -- -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W weka.classifiers.meta.AdaBoostM1 -- -P 100 -S 1 -I 10 -W weka.classifiers.lazy.IBk -- -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" K 1 5918 W 0 5918 A true 5918 P 100 6816 S 1 6816 I 10 6816 W weka.classifiers.lazy.IBk 6816 F weka.filters.unsupervised.attribute.Standardize 6886 W weka.classifiers.meta.AttributeSelectedClassifier 6886 E weka.attributeSelection.CfsSubsetEval -P 1 -E 1 6887 S weka.attributeSelection.BestFirst -D 1 -N 5 6887 W weka.classifiers.meta.AdaBoostM1 6887 study_70 weka weka_3.8.1 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 8737635 description https://api.openml.org/data/download/8737635/weka_generated_run7020575326721343785.xml -1 8737637 model_readable https://api.openml.org/data/download/8737637/WekaModel_weka.classifiers.meta.FilteredClassifier2452060236660333350.model -1 8737636 model_serialized https://api.openml.org/data/download/8737636/WekaSerialized_weka.classifiers.meta.FilteredClassifier2993296097891774043.model -1 8737638 predictions https://api.openml.org/data/download/8737638/weka_generated_predictions7849058745341052342.arff area_under_roc_curve 0.906298 [1,0.908511,0.975883,0.947872,0.933744,0.943433,0.698106,0.946767,0.988633,0.720028] average_cost 0 f_measure 0.832385 [1,0.819512,0.962217,0.927835,0.882206,0.927083,0.45614,0.883495,0.977556,0.487805] kappa 0.812222 kb_relative_information_score 1643.021614 mean_absolute_error 0.034606 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_131', 'amd64', 'Linux', '4.8.0-51-generic'] precision 0.83459 [1,0.8,0.969543,0.957447,0.884422,0.967391,0.457286,0.858491,0.975124,0.47619] predictive_accuracy 0.831 prior_entropy 3.321928 recall 0.831 [1,0.84,0.955,0.9,0.88,0.89,0.455,0.91,0.98,0.5] relative_absolute_error 0.192257 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.183347 root_relative_squared_error 0.611156 scimark_benchmark 1428.975561402504 [860.9282429886063, 1015.2555353338006, 604.4142032478469, 1253.0783893115536, 3411.201436130711] total_cost 0 usercpu_time_millis 1190 usercpu_time_millis_testing 590 usercpu_time_millis_training 600 area_under_roc_curve 0.894444 [1,0.958333,0.994444,0.9,0.913889,0.95,0.619444,0.922222,1,0.686111] area_under_roc_curve 0.906014 [1,0.919861,0.9475,0.975,0.933611,0.922639,0.69875,0.941944,0.975139,0.745694] area_under_roc_curve 0.917069 [1,0.917083,1,0.950278,0.988889,0.947361,0.695972,0.972361,1,0.69875] area_under_roc_curve 0.925 [1,0.922222,0.975,0.991667,0.975,0.925,0.747222,0.991667,0.975,0.747222] area_under_roc_curve 0.883333 [1,0.808333,0.975,0.869444,0.944444,0.944444,0.647222,0.911111,0.994444,0.738889] area_under_roc_curve 0.916667 [1,0.911111,1,0.894444,0.919444,0.947222,0.752778,0.941667,1,0.8] area_under_roc_curve 0.908333 [1,0.908333,0.95,0.997222,0.922222,0.925,0.766667,0.936111,1,0.677778] area_under_roc_curve 0.925 [1,0.908333,0.972222,0.975,0.922222,0.975,0.780556,0.941667,0.972222,0.802778] area_under_roc_curve 0.911583 [1,0.914306,1,1,0.919861,0.900556,0.693194,0.969583,1,0.718333] area_under_roc_curve 0.875625 [1,0.917083,0.944722,0.925417,0.897778,0.997222,0.579861,0.939167,0.969583,0.585417] 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 0.810002 [1,0.844444,0.952381,0.888889,0.829268,0.947368,0.324324,0.894737,1,0.418605] f_measure 0.831991 [1,0.871795,0.923077,0.974359,0.818182,0.894737,0.461538,0.878049,0.974359,0.52381] f_measure 0.849107 [1,0.85,1,0.947368,0.909091,0.923077,0.45,0.95,1,0.461538] f_measure 0.867037 [1,0.894737,0.974359,0.930233,0.974359,0.918919,0.536585,0.930233,0.974359,0.536585] f_measure 0.789212 [1,0.666667,0.974359,0.810811,0.9,0.9,0.378378,0.809524,0.952381,0.5] f_measure 0.85077 [1,0.809524,1,0.842105,0.871795,0.923077,0.564103,0.878049,1,0.619048] f_measure 0.835444 [1,0.790698,0.947368,0.97561,0.894737,0.918919,0.545455,0.837209,1,0.444444] f_measure 0.866173 [1,0.790698,0.95,0.974359,0.894737,0.974359,0.615385,0.878049,0.95,0.634146] f_measure 0.8432 [1,0.829268,1,1,0.871795,0.888889,0.439024,0.926829,1,0.47619] f_measure 0.778146 [1,0.85,0.9,0.918919,0.864865,0.97561,0.238095,0.857143,0.926829,0.25] kappa 0.788889 kappa 0.811111 kappa 0.833333 kappa 0.85 kappa 0.766667 kappa 0.833333 kappa 0.816667 kappa 0.85 kappa 0.822222 kappa 0.75 kb_relative_information_score 159.919647 kb_relative_information_score 164.094139 kb_relative_information_score 168.267551 kb_relative_information_score 171.39653 kb_relative_information_score 155.746235 kb_relative_information_score 168.266471 kb_relative_information_score 165.136412 kb_relative_information_score 171.39653 kb_relative_information_score 166.180845 kb_relative_information_score 152.617256 mean_absolute_error 0.038784 mean_absolute_error 0.034804 mean_absolute_error 0.030826 mean_absolute_error 0.027845 mean_absolute_error 0.042762 mean_absolute_error 0.030828 mean_absolute_error 0.033812 mean_absolute_error 0.027845 mean_absolute_error 0.032815 mean_absolute_error 0.045743 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 0.81673 [1,0.76,0.909091,1,0.809524,1,0.352941,0.944444,1,0.391304] precision 0.836738 [1,0.894737,0.947368,1,0.75,0.944444,0.473684,0.857143,1,0.5] precision 0.850439 [1,0.85,1,1,0.833333,0.947368,0.45,0.95,1,0.473684] precision 0.873119 [1,0.944444,1,0.869565,1,1,0.52381,0.869565,1,0.52381] precision 0.791848 [1,0.684211,1,0.882353,0.9,0.9,0.411765,0.772727,0.909091,0.458333] precision 0.853072 [1,0.772727,1,0.888889,0.894737,0.947368,0.578947,0.857143,1,0.590909] precision 0.841856 [1,0.73913,1,0.952381,0.944444,1,0.5,0.782609,1,0.5] precision 0.869134 [1,0.73913,0.95,1,0.944444,1,0.631579,0.857143,0.95,0.619048] precision 0.849214 [1,0.809524,1,1,0.894737,1,0.428571,0.904762,1,0.454545] precision 0.784377 [1,0.85,0.9,1,0.941176,0.952381,0.227273,0.818182,0.904762,0.25] predictive_accuracy 0.81 predictive_accuracy 0.83 predictive_accuracy 0.85 predictive_accuracy 0.865 predictive_accuracy 0.79 predictive_accuracy 0.85 predictive_accuracy 0.835 predictive_accuracy 0.865 predictive_accuracy 0.84 predictive_accuracy 0.775 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 0.81 [1,0.95,1,0.8,0.85,0.9,0.3,0.85,1,0.45] recall 0.83 [1,0.85,0.9,0.95,0.9,0.85,0.45,0.9,0.95,0.55] recall 0.85 [1,0.85,1,0.9,1,0.9,0.45,0.95,1,0.45] recall 0.865 [1,0.85,0.95,1,0.95,0.85,0.55,1,0.95,0.55] recall 0.79 [1,0.65,0.95,0.75,0.9,0.9,0.35,0.85,1,0.55] recall 0.85 [1,0.85,1,0.8,0.85,0.9,0.55,0.9,1,0.65] recall 0.835 [1,0.85,0.9,1,0.85,0.85,0.6,0.9,1,0.4] recall 0.865 [1,0.85,0.95,0.95,0.85,0.95,0.6,0.9,0.95,0.65] recall 0.84 [1,0.85,1,1,0.85,0.8,0.45,0.95,1,0.5] recall 0.775 [1,0.85,0.9,0.85,0.8,1,0.25,0.9,0.95,0.25] relative_absolute_error 0.215467 relative_absolute_error 0.193354 relative_absolute_error 0.171254 relative_absolute_error 0.154694 relative_absolute_error 0.237567 relative_absolute_error 0.171268 relative_absolute_error 0.187843 relative_absolute_error 0.154694 relative_absolute_error 0.182304 relative_absolute_error 0.254127 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 0.194404 root_mean_squared_error 0.183888 root_mean_squared_error 0.172734 root_mean_squared_error 0.163871 root_mean_squared_error 0.204379 root_mean_squared_error 0.172734 root_mean_squared_error 0.181164 root_mean_squared_error 0.163871 root_mean_squared_error 0.178398 root_mean_squared_error 0.211552 root_relative_squared_error 0.648013 root_relative_squared_error 0.612961 root_relative_squared_error 0.57578 root_relative_squared_error 0.546236 root_relative_squared_error 0.681263 root_relative_squared_error 0.57578 root_relative_squared_error 0.603881 root_relative_squared_error 0.546236 root_relative_squared_error 0.594661 root_relative_squared_error 0.705173 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 1200 usercpu_time_millis 600 usercpu_time_millis 500 usercpu_time_millis 460 usercpu_time_millis 470 usercpu_time_millis 430 usercpu_time_millis 590 usercpu_time_millis 440 usercpu_time_millis 460 usercpu_time_millis 450 usercpu_time_millis_testing 50 usercpu_time_millis_testing 70 usercpu_time_millis_testing 40 usercpu_time_millis_testing 50 usercpu_time_millis_testing 70 usercpu_time_millis_testing 70 usercpu_time_millis_testing 20 usercpu_time_millis_testing 20 usercpu_time_millis_testing 30 usercpu_time_millis_testing 30 usercpu_time_millis_training 1150 usercpu_time_millis_training 530 usercpu_time_millis_training 460 usercpu_time_millis_training 410 usercpu_time_millis_training 400 usercpu_time_millis_training 360 usercpu_time_millis_training 570 usercpu_time_millis_training 420 usercpu_time_millis_training 430 usercpu_time_millis_training 420