523979 64 Rafael Gomes Mantovani 9950 Supervised Classification 2608 classif.xyf(4) 3511 seed 1 2608 kind Mersenne-Twister 2608 normal.kind Inversion 2608 study_7 1515 micro-mass https://www.openml.org/data/download/1593707/phpHyLSNF -1 1797392 description https://api.openml.org/data/download/1797392/file3565761e793f -1 1797393 predictions https://api.openml.org/data/download/1797393/file35656365859f area_under_roc_curve 0.75362 [0.881766,0.763726,0.782681,0.740457,0.807066,0.78125,0.798483,0.655925,0.781122,0.744516,0.715835,0.785714,0.775508,0.541993,0.653322,0.742324,0.645678,0.845418,0.798185,0.776506] average_cost 0 f_measure 0.552102 [0.733945,0.608696,0.681818,0.636364,0.461538,0.72,0.459459,0.181818,0.612245,0.571429,0.509804,0.727273,0.553846,0.114286,0.349206,0.5,0.353846,0.716981,0.705882,0.592593] kappa 0.507043 kb_relative_information_score 298.621716 mean_absolute_error 0.04641 mean_prior_absolute_error 0.094115 number_of_instances 571 [50,26,52,29,14,16,26,11,26,24,29,21,31,18,32,31,60,27,20,28] precision 0.602287 [0.677966,0.7,0.833333,0.933333,0.36,1,0.354167,0.121212,0.652174,0.666667,0.590909,1,0.529412,0.117647,0.354839,0.484848,0.328571,0.730769,0.857143,0.615385] predictive_accuracy 0.535902 prior_entropy 4.20799 recall 0.535902 [0.8,0.538462,0.576923,0.482759,0.642857,0.5625,0.653846,0.363636,0.576923,0.5,0.448276,0.571429,0.580645,0.111111,0.34375,0.516129,0.383333,0.703704,0.6,0.571429] relative_absolute_error 0.493116 root_mean_prior_squared_error 0.216893 root_mean_squared_error 0.215429 root_relative_squared_error 0.99325 total_cost 0 usercpu_time_millis 267.899 usercpu_time_millis_testing 0.26600000000002 usercpu_time_millis_training 267.633 area_under_roc_curve 0.762308 [1,0.657576,0.790566,0.75,0.919643,1,0.5,0.5,0.491071,0.666667,0.824242,1,0.865741,0.491071,0.472222,0.824242,0.711538,0.990909,0.75,0.815152] area_under_roc_curve 0.788263 [0.880769,0.657407,0.8,0.833333,0.9375,1,0.75,1,0.981481,0.666667,0.833333,0.5,0.990741,0.490909,0.962963,0.824074,0.656863,0.824074,0.75,0.648148] area_under_roc_curve 0.812914 [0.790385,0.981481,0.8,0.833333,1,1,0.945455,1,0.990741,0.75,0.833333,0.833333,0.990741,0.490909,0.666667,0.638889,0.617647,1,1,0.666667] area_under_roc_curve 0.733404 [0.8,0.666667,0.666667,0.833333,0.5,0.75,0.9,0.5,1,1,0.648148,0.75,0.481481,0.973214,0.787037,0.5,0.647059,0.824074,0.740909,0.814815] area_under_roc_curve 0.743697 [0.9,0.666667,0.656863,0.657407,0.5,0.75,1,0.875,0.5,0.981818,0.648148,0.75,0.648148,0.5,0.657407,0.833333,0.720588,0.990909,0.75,0.824074] area_under_roc_curve 0.744619 [0.875,0.833333,0.980769,0.5,1,0.5,0.666667,0.5,0.657407,0.731818,0.5,0.75,0.805556,0.5,0.657407,0.972222,0.573529,0.75,0.990909,1] area_under_roc_curve 0.70688 [0.8,0.740909,0.8,0.833333,0.5,0.5,0.981481,0.5,0.824074,0.490909,0.648148,1,0.648148,0.463636,0.666667,0.606132,0.705882,0.731818,0.5,0.657407] area_under_roc_curve 0.734878 [1,0.75,0.7,1,0.75,1,0.666667,0.5,0.75,0.740909,0.490909,0.75,0.648148,0.481818,0.62963,0.62037,0.54902,0.833333,1,0.824074] area_under_roc_curve 0.803714 [0.9,0.990909,0.8,0.666667,1,1,0.888889,0.5,0.740909,0.833333,0.833333,1,0.990741,0.5,0.657407,0.833333,0.710784,0.824074,0.5,0.75] area_under_roc_curve 0.706461 [0.871154,0.75,0.880769,0.5,0.75,0.5,0.666667,0.866071,0.740909,0.666667,0.824074,0.5,0.657407,0.722727,0.490566,0.814815,0.563725,0.666667,1,0.740909] 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 0.540868 [1,0.4,0.666667,0.666667,0.307692,1,0,0,0,0.5,0.666667,1,0.75,0,0,0.666667,0.461538,0.857143,0.666667,0.571429] f_measure 0.597603 [0.727273,0.4,0.75,0.8,0.222222,1,0.666667,1,0.75,0.5,0.8,0,0.857143,0,0.6,0.666667,0.444444,0.666667,0.666667,0.333333] f_measure 0.65812 [0.666667,0.75,0.75,0.8,1,1,0.4,1,0.857143,0.666667,0.8,0.8,0.857143,0,0.5,0.285714,0.307692,1,1,0.5] f_measure 0.501128 [0.75,0.5,0.5,0.8,0,0.666667,0.266667,0,1,1,0.333333,0.666667,0,0.4,0.4,0,0.4,0.666667,0.5,0.571429] f_measure 0.534552 [0.888889,0.5,0.444444,0.4,0,0.666667,1,0.125,0,0.666667,0.333333,0.666667,0.333333,0,0.4,0.8,0.5,0.8,0.666667,0.666667] f_measure 0.468548 [0.434783,0.8,0.833333,0,1,0,0.5,0,0.4,0.4,0,0.666667,0.5,0,0.4,0.666667,0.25,0.666667,0.8,1] f_measure 0.454032 [0.75,0.5,0.75,0.8,0,0,0.75,0,0.666667,0,0.333333,1,0.333333,0,0.5,0.285714,0.347826,0.4,0,0.4] f_measure 0.538722 [1,0.666667,0.571429,1,0.666667,1,0.5,0,0.666667,0.5,0,0.666667,0.333333,0,0.25,0.222222,0.2,0.8,1,0.666667] f_measure 0.638043 [0.888889,0.8,0.75,0.5,1,1,0.333333,0,0.5,0.8,0.8,1,0.857143,0,0.4,0.8,0.461538,0.666667,0,0.666667] f_measure 0.441549 [0.666667,0.666667,0.727273,0,0.666667,0,0.5,0.117647,0.5,0.5,0.666667,0,0.4,0.333333,0,0.571429,0.222222,0.5,1,0.5] kappa 0.523237 kappa 0.57352 kappa 0.627573 kappa 0.463486 kappa 0.482322 kappa 0.492414 kappa 0.415675 kappa 0.474135 kappa 0.608183 kappa 0.408944 kb_relative_information_score 31.048842 kb_relative_information_score 33.417699 kb_relative_information_score 37.235307 kb_relative_information_score 27.4722 kb_relative_information_score 28.172821 kb_relative_information_score 28.712642 kb_relative_information_score 24.267342 kb_relative_information_score 28.42237 kb_relative_information_score 35.641575 kb_relative_information_score 24.23092 mean_absolute_error 0.044828 mean_absolute_error 0.040351 mean_absolute_error 0.035088 mean_absolute_error 0.050877 mean_absolute_error 0.049123 mean_absolute_error 0.047368 mean_absolute_error 0.054386 mean_absolute_error 0.049123 mean_absolute_error 0.036842 mean_absolute_error 0.05614 mean_prior_absolute_error 0.094136 mean_prior_absolute_error 0.094102 mean_prior_absolute_error 0.09411 mean_prior_absolute_error 0.094024 mean_prior_absolute_error 0.094027 mean_prior_absolute_error 0.094128 mean_prior_absolute_error 0.094113 mean_prior_absolute_error 0.094214 mean_prior_absolute_error 0.094173 mean_prior_absolute_error 0.094125 number_of_instances 58 [5,3,5,2,2,1,2,1,2,3,3,2,4,2,4,3,6,3,2,3] number_of_instances 57 [5,3,5,3,1,1,2,1,3,3,3,2,3,2,3,3,6,3,2,3] number_of_instances 57 [5,3,5,3,1,1,2,1,3,2,3,3,3,2,3,3,6,3,2,3] number_of_instances 57 [5,3,6,3,1,2,2,1,3,2,3,2,3,1,3,3,6,3,2,3] number_of_instances 57 [5,3,6,3,1,2,3,1,3,2,3,2,3,1,3,3,6,2,2,3] number_of_instances 57 [5,3,5,3,1,2,3,1,3,2,3,2,3,2,3,3,6,2,2,3] number_of_instances 57 [5,2,5,3,1,2,3,1,3,2,3,2,3,2,3,4,6,2,2,3] number_of_instances 57 [5,2,5,3,2,2,3,2,2,2,2,2,3,2,3,3,6,3,2,3] number_of_instances 57 [5,2,5,3,2,2,3,1,2,3,3,2,3,2,3,3,6,3,2,2] number_of_instances 57 [5,2,5,3,2,1,3,1,2,3,3,2,3,2,4,3,6,3,2,2] precision 0.585087 [1,0.5,0.75,1,0.181818,1,0,0,0,1,0.666667,1,0.75,0,0,0.666667,0.428571,0.75,1,0.5] precision 0.689369 [0.666667,0.5,1,1,0.125,1,1,1,0.6,1,1,0,0.75,0,0.428571,0.666667,0.666667,0.666667,1,0.333333] precision 0.754637 [0.75,0.6,1,1,1,1,0.25,1,0.75,1,1,1,0.75,0,1,0.25,0.285714,1,1,1] precision 0.630085 [1,1,1,1,0,1,0.153846,0,1,1,0.333333,1,0,0.25,0.285714,0,0.5,0.666667,0.5,0.5] precision 0.638596 [1,1,0.666667,0.5,0,1,1,0.066667,0,0.5,0.333333,1,0.333333,0,0.5,1,0.5,0.666667,1,0.666667] precision 0.520356 [0.277778,1,0.714286,0,1,0,1,0,0.5,0.333333,0,1,0.4,0,0.5,0.5,0.5,1,0.666667,1] precision 0.521259 [1,0.5,1,1,0,0,0.6,0,0.666667,0,0.333333,1,0.333333,0,1,0.333333,0.235294,0.333333,0,0.5] precision 0.648371 [1,1,1,1,1,1,1,0,1,0.5,0,1,0.333333,0,0.2,0.166667,0.142857,1,1,0.666667] precision 0.723768 [1,0.666667,1,1,1,1,0.2,0,0.5,1,1,1,0.75,0,0.5,1,0.428571,0.666667,0,1] precision 0.539526 [0.571429,1,0.666667,0,1,0,1,0.0625,0.5,1,0.666667,0,0.5,0.25,0,0.5,0.333333,1,1,0.5] predictive_accuracy 0.551724 predictive_accuracy 0.596491 predictive_accuracy 0.649123 predictive_accuracy 0.491228 predictive_accuracy 0.508772 predictive_accuracy 0.526316 predictive_accuracy 0.45614 predictive_accuracy 0.508772 predictive_accuracy 0.631579 predictive_accuracy 0.438596 prior_entropy 4.20799 prior_entropy 4.20799 prior_entropy 4.20799 prior_entropy 4.20799 prior_entropy 4.20799 prior_entropy 4.20799 prior_entropy 4.20799 prior_entropy 4.20799 prior_entropy 4.20799 prior_entropy 4.20799 recall 0.551724 [1,0.333333,0.6,0.5,1,1,0,0,0,0.333333,0.666667,1,0.75,0,0,0.666667,0.5,1,0.5,0.666667] recall 0.596491 [0.8,0.333333,0.6,0.666667,1,1,0.5,1,1,0.333333,0.666667,0,1,0,1,0.666667,0.333333,0.666667,0.5,0.333333] recall 0.649123 [0.6,1,0.6,0.666667,1,1,1,1,1,0.5,0.666667,0.666667,1,0,0.333333,0.333333,0.333333,1,1,0.333333] recall 0.491228 [0.6,0.333333,0.333333,0.666667,0,0.5,1,0,1,1,0.333333,0.5,0,1,0.666667,0,0.333333,0.666667,0.5,0.666667] recall 0.508772 [0.8,0.333333,0.333333,0.333333,0,0.5,1,1,0,1,0.333333,0.5,0.333333,0,0.333333,0.666667,0.5,1,0.5,0.666667] recall 0.526316 [1,0.666667,1,0,1,0,0.333333,0,0.333333,0.5,0,0.5,0.666667,0,0.333333,1,0.166667,0.5,1,1] recall 0.45614 [0.6,0.5,0.6,0.666667,0,0,1,0,0.666667,0,0.333333,1,0.333333,0,0.333333,0.25,0.666667,0.5,0,0.333333] recall 0.508772 [1,0.5,0.4,1,0.5,1,0.333333,0,0.5,0.5,0,0.5,0.333333,0,0.333333,0.333333,0.333333,0.666667,1,0.666667] recall 0.631579 [0.8,1,0.6,0.333333,1,1,1,0,0.5,0.666667,0.666667,1,1,0,0.333333,0.666667,0.5,0.666667,0,0.5] recall 0.438596 [0.8,0.5,0.8,0,0.5,0,0.333333,1,0.5,0.333333,0.666667,0,0.333333,0.5,0,0.666667,0.166667,0.333333,1,0.5] relative_absolute_error 0.476199 relative_absolute_error 0.428801 relative_absolute_error 0.372835 relative_absolute_error 0.541106 relative_absolute_error 0.522431 relative_absolute_error 0.503233 relative_absolute_error 0.577877 relative_absolute_error 0.521394 relative_absolute_error 0.391218 relative_absolute_error 0.596443 root_mean_prior_squared_error 0.216941 root_mean_prior_squared_error 0.216861 root_mean_prior_squared_error 0.216882 root_mean_prior_squared_error 0.216683 root_mean_prior_squared_error 0.21669 root_mean_prior_squared_error 0.216923 root_mean_prior_squared_error 0.216889 root_mean_prior_squared_error 0.217121 root_mean_prior_squared_error 0.217026 root_mean_prior_squared_error 0.216916 root_mean_squared_error 0.211725 root_mean_squared_error 0.200875 root_mean_squared_error 0.187317 root_mean_squared_error 0.22556 root_mean_squared_error 0.221637 root_mean_squared_error 0.217643 root_mean_squared_error 0.233208 root_mean_squared_error 0.221637 root_mean_squared_error 0.191943 root_mean_squared_error 0.23694 root_relative_squared_error 0.975957 root_relative_squared_error 0.926284 root_relative_squared_error 0.863683 root_relative_squared_error 1.040964 root_relative_squared_error 1.022827 root_relative_squared_error 1.003318 root_relative_squared_error 1.075242 root_relative_squared_error 1.020796 root_relative_squared_error 0.884425 root_relative_squared_error 1.092309 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