8864427 710 William Raynaut 14967 Supervised Classification 7789 weka.kf.Bagging-NaiveBayes(1) 6833238 mDataExp Modelage study_107 23380 cjs https://www.openml.org/data/download/1910442/phpDAC5gS -1 18644705 description https://api.openml.org/data/download/18644705/description7403100892697601056.xml -1 18644706 predictions https://api.openml.org/data/download/18644706/predictions6193514622007029172.arff area_under_roc_curve 0.971962 [0.965997,0.964016,0.973618,0.981233,0.981875,0.958018] average_cost 0 f_measure 0.839656 [0.905629,0.953383,0.843188,0.832396,0.79677,0.629002] kappa 0.804868 kb_relative_information_score 2081.792766 mean_absolute_error 0.089591 mean_prior_absolute_error 0.27288 number_of_instances 2796 [576,341,680,511,414,274] precision 0.855542 [0.865506,0.978395,0.748858,0.978836,0.899696,0.649805] predictive_accuracy 0.841559 prior_entropy 2.520663 recall 0.841559 [0.949653,0.929619,0.964706,0.72407,0.714976,0.609489] relative_absolute_error 0.328315 root_mean_prior_squared_error 0.369371 root_mean_squared_error 0.203754 root_relative_squared_error 0.551625 total_cost 0 area_under_roc_curve 0.975899 [0.98338,0.941535,0.986473,0.977395,0.991734,0.950539] area_under_roc_curve 0.969794 [0.920239,1,0.983109,0.997603,0.960965,0.965703] area_under_roc_curve 0.97335 [0.983768,0.970827,0.962819,0.988184,0.96765,0.961735] area_under_roc_curve 0.979005 [1,0.932568,0.980057,0.994777,0.974181,0.967687] area_under_roc_curve 0.975556 [0.96808,0.99988,0.957339,0.994096,0.978059,0.967355] area_under_roc_curve 0.957495 [0.940276,0.97656,0.95068,0.962326,0.985203,0.935734] area_under_roc_curve 0.972806 [0.962858,0.918367,0.996515,0.987358,0.995479,0.939888] area_under_roc_curve 0.968133 [0.997392,0.945198,0.975467,0.931717,0.981716,0.964433] area_under_roc_curve 0.968172 [0.948475,0.955822,0.958949,0.996388,0.993269,0.956202] area_under_roc_curve 0.979647 [0.957326,0.997479,0.986549,0.97979,0.990255,0.970165] 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 0.843924 [0.910569,0.939394,0.864516,0.827586,0.810811,0.618182] f_measure 0.875613 [0.832,1,0.942857,0.866667,0.860759,0.689655] f_measure 0.871464 [0.957265,0.969697,0.83871,0.893617,0.826667,0.679245] f_measure 0.852183 [0.97479,0.920635,0.814815,0.893617,0.75,0.68] f_measure 0.821991 [0.956522,0.969697,0.760234,0.835165,0.724638,0.625] f_measure 0.778957 [0.864,0.927536,0.805031,0.705882,0.75,0.52] f_measure 0.849167 [0.885246,0.953846,0.887417,0.840909,0.842105,0.571429] f_measure 0.814811 [0.949153,0.923077,0.802469,0.756098,0.746667,0.642857] f_measure 0.836571 [0.861789,0.955224,0.855263,0.827586,0.871795,0.54902] f_measure 0.85354 [0.876033,0.971429,0.885906,0.857143,0.767123,0.703704] kappa 0.810933 kappa 0.847054 kappa 0.841726 kappa 0.818939 kappa 0.778688 kappa 0.735475 kappa 0.814998 kappa 0.774744 kappa 0.801499 kappa 0.823947 kb_relative_information_score 214.002108 kb_relative_information_score 212.199151 kb_relative_information_score 215.592758 kb_relative_information_score 207.813213 kb_relative_information_score 198.936313 kb_relative_information_score 195.211043 kb_relative_information_score 210.344152 kb_relative_information_score 207.368898 kb_relative_information_score 207.479848 kb_relative_information_score 212.845282 mean_absolute_error 0.081835 mean_absolute_error 0.088428 mean_absolute_error 0.081947 mean_absolute_error 0.088441 mean_absolute_error 0.100154 mean_absolute_error 0.103703 mean_absolute_error 0.085884 mean_absolute_error 0.090501 mean_absolute_error 0.090034 mean_absolute_error 0.084954 mean_prior_absolute_error 0.272905 mean_prior_absolute_error 0.272905 mean_prior_absolute_error 0.272905 mean_prior_absolute_error 0.272905 mean_prior_absolute_error 0.272804 mean_prior_absolute_error 0.272877 mean_prior_absolute_error 0.272875 mean_prior_absolute_error 0.272875 mean_prior_absolute_error 0.272875 mean_prior_absolute_error 0.272875 number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,52,41,27] number_of_instances 280 [58,35,68,51,41,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] precision 0.861346 [0.861538,0.96875,0.770115,1,0.909091,0.62963] precision 0.88464 [0.776119,1,0.916667,1,0.894737,0.666667] precision 0.882899 [0.949153,1,0.747126,0.976744,0.911765,0.72] precision 0.871615 [0.95082,1,0.702128,0.976744,0.870968,0.772727] precision 0.855132 [0.964912,1,0.631068,0.974359,0.892857,0.714286] precision 0.798151 [0.80597,0.941176,0.703297,0.882353,0.870968,0.565217] precision 0.866206 [0.830769,1,0.807229,1,0.941176,0.551724] precision 0.844614 [0.918033,0.967742,0.691489,1,0.848485,0.62069] precision 0.852251 [0.80303,0.969697,0.77381,1,0.944444,0.583333] precision 0.865169 [0.828125,0.944444,0.814815,0.975,0.903226,0.703704] predictive_accuracy 0.846429 predictive_accuracy 0.875 predictive_accuracy 0.871429 predictive_accuracy 0.853571 predictive_accuracy 0.821429 predictive_accuracy 0.785714 predictive_accuracy 0.849462 predictive_accuracy 0.817204 predictive_accuracy 0.83871 predictive_accuracy 0.856631 prior_entropy 2.520663 prior_entropy 2.520663 prior_entropy 2.520663 prior_entropy 2.520663 prior_entropy 2.520663 prior_entropy 2.520663 prior_entropy 2.520663 prior_entropy 2.520663 prior_entropy 2.520663 prior_entropy 2.520663 recall 0.846429 [0.965517,0.911765,0.985294,0.705882,0.731707,0.607143] recall 0.875 [0.896552,1,0.970588,0.764706,0.829268,0.714286] recall 0.871429 [0.965517,0.941176,0.955882,0.823529,0.756098,0.642857] recall 0.853571 [1,0.852941,0.970588,0.823529,0.658537,0.607143] recall 0.821429 [0.948276,0.941176,0.955882,0.730769,0.609756,0.555556] recall 0.785714 [0.931034,0.914286,0.941176,0.588235,0.658537,0.481481] recall 0.849462 [0.947368,0.911765,0.985294,0.72549,0.761905,0.592593] recall 0.817204 [0.982456,0.882353,0.955882,0.607843,0.666667,0.666667] recall 0.83871 [0.929825,0.941176,0.955882,0.705882,0.809524,0.518519] recall 0.856631 [0.929825,1,0.970588,0.764706,0.666667,0.703704] relative_absolute_error 0.299865 relative_absolute_error 0.324025 relative_absolute_error 0.300275 relative_absolute_error 0.324074 relative_absolute_error 0.367129 relative_absolute_error 0.380037 relative_absolute_error 0.314738 relative_absolute_error 0.331657 relative_absolute_error 0.329947 relative_absolute_error 0.311331 root_mean_prior_squared_error 0.369405 root_mean_prior_squared_error 0.369405 root_mean_prior_squared_error 0.369405 root_mean_prior_squared_error 0.369405 root_mean_prior_squared_error 0.369268 root_mean_prior_squared_error 0.369366 root_mean_prior_squared_error 0.369364 root_mean_prior_squared_error 0.369364 root_mean_prior_squared_error 0.369364 root_mean_prior_squared_error 0.369364 root_mean_squared_error 0.193766 root_mean_squared_error 0.199377 root_mean_squared_error 0.190367 root_mean_squared_error 0.201871 root_mean_squared_error 0.218314 root_mean_squared_error 0.22624 root_mean_squared_error 0.200005 root_mean_squared_error 0.203347 root_mean_squared_error 0.206514 root_mean_squared_error 0.194961 root_relative_squared_error 0.524536 root_relative_squared_error 0.539724 root_relative_squared_error 0.515334 root_relative_squared_error 0.546476 root_relative_squared_error 0.591207 root_relative_squared_error 0.612508 root_relative_squared_error 0.541486 root_relative_squared_error 0.550534 root_relative_squared_error 0.559108 root_relative_squared_error 0.52783 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