8884012 710 William Raynaut 146217 Supervised Classification precision 7836 weka.kf.AdaBoostM1-J48(1) 6833701 mDataExp Modelage study_107 40691 wine-quality-red https://www.openml.org/data/download/4965268/wine-quality-red.arff -1 18683765 description https://api.openml.org/data/download/18683765/description6554962353851061762.xml -1 18683766 predictions https://api.openml.org/data/download/18683766/predictions4468262206046904530.arff area_under_roc_curve 0.822027 [0.781152,0.673283,0.857586,0.787278,0.864257,0.702193] average_cost 0 f_measure 0.656483 [0,0.103896,0.751783,0.646875,0.572864,0.307692] kappa 0.469355 kb_relative_information_score 748.32466 mean_absolute_error 0.112288 mean_prior_absolute_error 0.214459 number_of_instances 1599 [10,53,681,638,199,18] precision 0.651042 [0,0.166667,0.730929,0.64486,0.572864,0.5] predictive_accuracy 0.66479 prior_entropy 1.717726 recall 0.66479 [0,0.075472,0.773862,0.648903,0.572864,0.222222] relative_absolute_error 0.523586 root_mean_prior_squared_error 0.327278 root_mean_squared_error 0.31712 root_relative_squared_error 0.968963 total_cost 0 area_under_roc_curve 0.826727 [1,0.687229,0.841752,0.806152,0.877321,0.773585] area_under_roc_curve 0.83552 [0.943396,0.794372,0.87492,0.808512,0.814296,0.631329] area_under_roc_curve 0.833925 [0.610063,0.6,0.852861,0.806966,0.930714,0.781646] area_under_roc_curve 0.802204 [0.654088,0.712258,0.855818,0.772786,0.798214,0.259494] area_under_roc_curve 0.859278 [0.641509,0.570323,0.889706,0.834147,0.942321,0.629747] area_under_roc_curve 0.823725 [0.742138,0.894839,0.856857,0.79069,0.800179,0.852848] area_under_roc_curve 0.793175 [0.754717,0.478065,0.824888,0.739258,0.921071,0.968354] area_under_roc_curve 0.767353 [0.783019,0.592903,0.830403,0.7146,0.77,0.713608] area_under_roc_curve 0.873078 [0.874214,0.69871,0.906195,0.855506,0.850714,0.943038] area_under_roc_curve 0.817733 [0.825949,0.654684,0.845346,0.776786,0.928777,0.268987] 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 0.667273 [0,0,0.742857,0.676692,0.647059,0] f_measure 0.671784 [0,0,0.8,0.661157,0.514286,0.5] f_measure 0.673368 [0,0.25,0.771429,0.650794,0.619048,0] f_measure 0.630384 [0,0,0.727273,0.650794,0.487805,0] f_measure 0.699554 [0,0,0.788732,0.672,0.697674,0.666667] f_measure 0.604738 [0,0.25,0.7,0.601504,0.470588,0] f_measure 0.641303 [0,0,0.75,0.617886,0.553191,0.5] f_measure 0.582961 [0,0,0.69697,0.573643,0.458333,0] f_measure 0.714289 [0,0,0.817518,0.725926,0.540541,0.666667] f_measure 0.673124 [0,0.5,0.71831,0.635659,0.756757,0] kappa 0.479447 kappa 0.501713 kappa 0.498741 kappa 0.433611 kappa 0.545595 kappa 0.379651 kappa 0.452055 kappa 0.360504 kappa 0.560549 kappa 0.484783 kb_relative_information_score 74.519021 kb_relative_information_score 77.470216 kb_relative_information_score 79.061398 kb_relative_information_score 65.117955 kb_relative_information_score 87.291204 kb_relative_information_score 65.836679 kb_relative_information_score 74.27857 kb_relative_information_score 59.456731 kb_relative_information_score 86.08179 kb_relative_information_score 79.211096 mean_absolute_error 0.109202 mean_absolute_error 0.106326 mean_absolute_error 0.105936 mean_absolute_error 0.124091 mean_absolute_error 0.096487 mean_absolute_error 0.124165 mean_absolute_error 0.118672 mean_absolute_error 0.135839 mean_absolute_error 0.092948 mean_absolute_error 0.10919 mean_prior_absolute_error 0.2144 mean_prior_absolute_error 0.214635 mean_prior_absolute_error 0.214446 mean_prior_absolute_error 0.214446 mean_prior_absolute_error 0.214446 mean_prior_absolute_error 0.214446 mean_prior_absolute_error 0.214446 mean_prior_absolute_error 0.214446 mean_prior_absolute_error 0.21439 mean_prior_absolute_error 0.214487 number_of_instances 160 [1,6,68,64,20,1] number_of_instances 160 [1,6,68,64,19,2] number_of_instances 160 [1,5,68,64,20,2] number_of_instances 160 [1,5,68,64,20,2] number_of_instances 160 [1,5,68,64,20,2] number_of_instances 160 [1,5,68,64,20,2] number_of_instances 160 [1,5,68,64,20,2] number_of_instances 160 [1,5,68,64,20,2] number_of_instances 160 [1,5,69,63,20,2] number_of_instances 159 [1,6,68,63,20,1] precision 0.666028 [0,0,0.722222,0.652174,0.785714,0] precision 0.664724 [0,0,0.731707,0.701754,0.5625,0.5] precision 0.667546 [0,0.333333,0.75,0.66129,0.590909,0] precision 0.618707 [0,0,0.693333,0.66129,0.47619,0] precision 0.691053 [0,0,0.756757,0.688525,0.652174,1] precision 0.602965 [0,0.333333,0.680556,0.57971,0.571429,0] precision 0.642812 [0,0,0.75,0.644068,0.481481,0.5] precision 0.582268 [0,0,0.71875,0.569231,0.392857,0] precision 0.709145 [0,0,0.823529,0.680556,0.588235,1] precision 0.682213 [0,1,0.689189,0.621212,0.823529,0] predictive_accuracy 0.675 predictive_accuracy 0.6875 predictive_accuracy 0.68125 predictive_accuracy 0.64375 predictive_accuracy 0.7125 predictive_accuracy 0.6125 predictive_accuracy 0.64375 predictive_accuracy 0.5875 predictive_accuracy 0.725 predictive_accuracy 0.679245 prior_entropy 1.717726 prior_entropy 1.717726 prior_entropy 1.717726 prior_entropy 1.717726 prior_entropy 1.717726 prior_entropy 1.717726 prior_entropy 1.717726 prior_entropy 1.717726 prior_entropy 1.717726 prior_entropy 1.717726 recall 0.675 [0,0,0.764706,0.703125,0.55,0] recall 0.6875 [0,0,0.882353,0.625,0.473684,0.5] recall 0.68125 [0,0.2,0.794118,0.640625,0.65,0] recall 0.64375 [0,0,0.764706,0.640625,0.5,0] recall 0.7125 [0,0,0.823529,0.65625,0.75,0.5] recall 0.6125 [0,0.2,0.720588,0.625,0.4,0] recall 0.64375 [0,0,0.75,0.59375,0.65,0.5] recall 0.5875 [0,0,0.676471,0.578125,0.55,0] recall 0.725 [0,0,0.811594,0.777778,0.5,0.5] recall 0.679245 [0,0.333333,0.75,0.650794,0.7,0] relative_absolute_error 0.509337 relative_absolute_error 0.495382 relative_absolute_error 0.494 relative_absolute_error 0.578659 relative_absolute_error 0.449936 relative_absolute_error 0.579003 relative_absolute_error 0.553391 relative_absolute_error 0.633444 relative_absolute_error 0.433545 relative_absolute_error 0.509074 root_mean_prior_squared_error 0.327189 root_mean_prior_squared_error 0.327548 root_mean_prior_squared_error 0.327258 root_mean_prior_squared_error 0.327258 root_mean_prior_squared_error 0.327258 root_mean_prior_squared_error 0.327258 root_mean_prior_squared_error 0.327258 root_mean_prior_squared_error 0.327258 root_mean_prior_squared_error 0.327173 root_mean_prior_squared_error 0.327321 root_mean_squared_error 0.314169 root_mean_squared_error 0.305812 root_mean_squared_error 0.310037 root_mean_squared_error 0.33727 root_mean_squared_error 0.289441 root_mean_squared_error 0.334467 root_mean_squared_error 0.327257 root_mean_squared_error 0.352125 root_mean_squared_error 0.283307 root_mean_squared_error 0.310699 root_relative_squared_error 0.960207 root_relative_squared_error 0.933639 root_relative_squared_error 0.947377 root_relative_squared_error 1.030592 root_relative_squared_error 0.884441 root_relative_squared_error 1.022028 root_relative_squared_error 0.999995 root_relative_squared_error 1.075986 root_relative_squared_error 0.865925 root_relative_squared_error 0.949216 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