OpenML
Supervised Classification on mfeat-factors

Supervised Classification on mfeat-factors

Task 12 Supervised Classification mfeat-factors 23377 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 random_tag study_1 study_107 study_123 study_14 study_218 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kappa: 0.0006, kb_relative_information_score: 0.0593, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1005, prior_entropy: 3.3219, recall: 0.1005, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4241, root_relative_squared_error: 1.4138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9726, kappa: 0.9694, kb_relative_information_score: 0.9668, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9728, predictive_accuracy: 0.9725, prior_entropy: 3.3219, recall: 0.9725, relative_absolute_error: 0.0505, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.2175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.975, kappa: 0.9722, kb_relative_information_score: 0.9735, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0363, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.2089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.973, kappa: 0.97, kb_relative_information_score: 0.9727, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 3.3219, recall: 0.973, relative_absolute_error: 0.0338, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0675, root_relative_squared_error: 0.2251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9565, kappa: 0.9517, kb_relative_information_score: 0.9521, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9567, predictive_accuracy: 0.9565, prior_entropy: 3.3219, recall: 0.9565, relative_absolute_error: 0.0595, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.2926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9665, kappa: 0.9628, kb_relative_information_score: 0.9674, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9667, predictive_accuracy: 0.9665, prior_entropy: 3.3219, recall: 0.9665, relative_absolute_error: 0.0403, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.2428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.97, kappa: 0.9667, kb_relative_information_score: 0.9613, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9702, predictive_accuracy: 0.97, prior_entropy: 3.3219, recall: 0.97, relative_absolute_error: 0.0618, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0675, root_relative_squared_error: 0.2252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9685, kappa: 0.965, kb_relative_information_score: 0.9519, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9688, predictive_accuracy: 0.9685, prior_entropy: 3.3219, recall: 0.9685, relative_absolute_error: 0.079, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0719, root_relative_squared_error: 0.2396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9705, kappa: 0.9672, kb_relative_information_score: 0.9614, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9707, predictive_accuracy: 0.9705, prior_entropy: 3.3219, recall: 0.9705, relative_absolute_error: 0.0614, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0676, root_relative_squared_error: 0.2254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.973, kappa: 0.97, kb_relative_information_score: 0.9712, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9731, predictive_accuracy: 0.973, prior_entropy: 3.3219, recall: 0.973, relative_absolute_error: 0.0346, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0683, root_relative_squared_error: 0.2276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.8812, kappa: 0.8678, kb_relative_information_score: 0.8755, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8819, predictive_accuracy: 0.881, prior_entropy: 3.3219, recall: 0.881, relative_absolute_error: 0.1324, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.5141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9735, kappa: 0.9706, kb_relative_information_score: 0.9729, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9737, predictive_accuracy: 0.9735, prior_entropy: 3.3219, recall: 0.9735, relative_absolute_error: 0.0334, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.2212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9715, kappa: 0.9683, kb_relative_information_score: 0.9651, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9717, predictive_accuracy: 0.9715, prior_entropy: 3.3219, recall: 0.9715, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0681, root_relative_squared_error: 0.2271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9705, kappa: 0.9672, kb_relative_information_score: 0.9683, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9707, predictive_accuracy: 0.9705, prior_entropy: 3.3219, recall: 0.9705, relative_absolute_error: 0.0395, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0704, root_relative_squared_error: 0.2346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.7171, kappa: 0.6867, kb_relative_information_score: 0.7051, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7171, predictive_accuracy: 0.718, prior_entropy: 3.3219, recall: 0.718, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.7916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9695, kappa: 0.9661, kb_relative_information_score: 0.9704, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9697, predictive_accuracy: 0.9695, prior_entropy: 3.3219, recall: 0.9695, relative_absolute_error: 0.0362, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.069, root_relative_squared_error: 0.2301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.967, kappa: 0.9633, kb_relative_information_score: 0.9686, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9671, predictive_accuracy: 0.967, prior_entropy: 3.3219, recall: 0.967, relative_absolute_error: 0.038, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0714, root_relative_squared_error: 0.2379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8779, kappa: 0.865, kb_relative_information_score: 0.303, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8813, predictive_accuracy: 0.8785, prior_entropy: 3.3219, recall: 0.8785, relative_absolute_error: 0.8841, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.8875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9765, kappa: 0.9739, kb_relative_information_score: 0.9743, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9766, predictive_accuracy: 0.9765, prior_entropy: 3.3219, recall: 0.9765, relative_absolute_error: 0.0358, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0615, root_relative_squared_error: 0.2051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9605, kappa: 0.9561, kb_relative_information_score: 0.9585, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9608, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.0532, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.2708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.973, kappa: 0.97, kb_relative_information_score: 0.9743, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9733, predictive_accuracy: 0.973, prior_entropy: 3.3219, recall: 0.973, relative_absolute_error: 0.0316, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.065, root_relative_squared_error: 0.2168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.974, kappa: 0.9711, kb_relative_information_score: 0.9726, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9742, predictive_accuracy: 0.974, prior_entropy: 3.3219, recall: 0.974, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.2238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.966, kappa: 0.9622, kb_relative_information_score: 0.9683, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9663, predictive_accuracy: 0.966, prior_entropy: 3.3219, recall: 0.966, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0715, root_relative_squared_error: 0.2384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.974, kappa: 0.9711, kb_relative_information_score: 0.9751, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9742, predictive_accuracy: 0.974, prior_entropy: 3.3219, recall: 0.974, relative_absolute_error: 0.0308, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0637, root_relative_squared_error: 0.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9715, kappa: 0.9683, kb_relative_information_score: 0.9661, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9717, predictive_accuracy: 0.9715, prior_entropy: 3.3219, recall: 0.9715, relative_absolute_error: 0.0452, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0697, root_relative_squared_error: 0.2324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9745, kappa: 0.9717, kb_relative_information_score: 0.9758, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9747, predictive_accuracy: 0.9745, prior_entropy: 3.3219, recall: 0.9745, relative_absolute_error: 0.0309, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.062, root_relative_squared_error: 0.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9665, kappa: 0.9628, kb_relative_information_score: 0.9679, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9668, predictive_accuracy: 0.9665, prior_entropy: 3.3219, recall: 0.9665, relative_absolute_error: 0.039, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0719, root_relative_squared_error: 0.2398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.964, kappa: 0.96, kb_relative_information_score: 0.9584, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9641, predictive_accuracy: 0.964, prior_entropy: 3.3219, recall: 0.964, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.2529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9665, kappa: 0.9628, kb_relative_information_score: 0.9661, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9666, predictive_accuracy: 0.9665, prior_entropy: 3.3219, recall: 0.9665, relative_absolute_error: 0.04, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.2484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9675, kappa: 0.9639, kb_relative_information_score: 0.9687, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9677, predictive_accuracy: 0.9675, prior_entropy: 3.3219, recall: 0.9675, relative_absolute_error: 0.0379, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0723, root_relative_squared_error: 0.2409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.7401, kappa: 0.7117, kb_relative_information_score: 0.7286, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7407, predictive_accuracy: 0.7405, prior_entropy: 3.3219, recall: 0.7405, relative_absolute_error: 0.2883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.7594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.5969, kappa: 0.5522, kb_relative_information_score: 0.5786, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5981, predictive_accuracy: 0.597, prior_entropy: 3.3219, recall: 0.597, relative_absolute_error: 0.4478, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.9463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.972, kappa: 0.9689, kb_relative_information_score: 0.9704, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9722, predictive_accuracy: 0.972, prior_entropy: 3.3219, recall: 0.972, relative_absolute_error: 0.0357, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0695, root_relative_squared_error: 0.2316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9605, kappa: 0.9561, kb_relative_information_score: 0.9608, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9609, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.0482, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.978, kappa: 0.9756, kb_relative_information_score: 0.9759, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9782, predictive_accuracy: 0.978, prior_entropy: 3.3219, recall: 0.978, relative_absolute_error: 0.0303, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.062, root_relative_squared_error: 0.2065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.963, kappa: 0.9589, kb_relative_information_score: 0.9646, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9631, predictive_accuracy: 0.963, prior_entropy: 3.3219, recall: 0.963, relative_absolute_error: 0.0427, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.2553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.976, kappa: 0.9733, kb_relative_information_score: 0.9755, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9761, predictive_accuracy: 0.976, prior_entropy: 3.3219, recall: 0.976, relative_absolute_error: 0.0302, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9625, kappa: 0.9583, kb_relative_information_score: 0.9236, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9628, predictive_accuracy: 0.9625, prior_entropy: 3.3219, recall: 0.9625, relative_absolute_error: 0.1351, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.2787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9356, kappa: 0.9283, kb_relative_information_score: 0.7576, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9365, predictive_accuracy: 0.9355, prior_entropy: 3.3219, recall: 0.9355, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.4873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9675, kappa: 0.9639, kb_relative_information_score: 0.964, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9677, predictive_accuracy: 0.9675, prior_entropy: 3.3219, recall: 0.9675, relative_absolute_error: 0.0457, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0743, root_relative_squared_error: 0.2475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9695, kappa: 0.9661, kb_relative_information_score: 0.9709, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9697, predictive_accuracy: 0.9695, prior_entropy: 3.3219, recall: 0.9695, relative_absolute_error: 0.0361, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0694, root_relative_squared_error: 0.2314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.961, kappa: 0.9567, kb_relative_information_score: 0.9586, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9613, predictive_accuracy: 0.961, prior_entropy: 3.3219, recall: 0.961, relative_absolute_error: 0.0543, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.2642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9611, kappa: 0.9567, kb_relative_information_score: 0.9455, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9614, predictive_accuracy: 0.961, prior_entropy: 3.3219, recall: 0.961, relative_absolute_error: 0.0904, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.2573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9745, kappa: 0.9717, kb_relative_information_score: 0.9665, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9745, predictive_accuracy: 0.9745, prior_entropy: 3.3219, recall: 0.9745, relative_absolute_error: 0.0497, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.2161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9665, kappa: 0.9628, kb_relative_information_score: 0.9685, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9668, predictive_accuracy: 0.9665, prior_entropy: 3.3219, recall: 0.9665, relative_absolute_error: 0.0385, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0719, root_relative_squared_error: 0.2395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.965, kappa: 0.9611, kb_relative_information_score: 0.9661, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9651, predictive_accuracy: 0.965, prior_entropy: 3.3219, recall: 0.965, relative_absolute_error: 0.0406, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.968, kappa: 0.9644, kb_relative_information_score: 0.9661, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9682, predictive_accuracy: 0.968, prior_entropy: 3.3219, recall: 0.968, relative_absolute_error: 0.0403, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.2481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9651, kappa: 0.9611, kb_relative_information_score: 0.9583, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9654, predictive_accuracy: 0.965, prior_entropy: 3.3219, recall: 0.965, relative_absolute_error: 0.0609, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.2429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9665, kappa: 0.9628, kb_relative_information_score: 0.9653, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9666, predictive_accuracy: 0.9665, prior_entropy: 3.3219, recall: 0.9665, relative_absolute_error: 0.0426, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.2538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.964, kappa: 0.96, kb_relative_information_score: 0.9649, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9641, predictive_accuracy: 0.964, prior_entropy: 3.3219, recall: 0.964, relative_absolute_error: 0.0426, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.8834, kappa: 0.8706, kb_relative_information_score: 0.8782, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8838, predictive_accuracy: 0.8835, prior_entropy: 3.3219, recall: 0.8835, relative_absolute_error: 0.1294, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.5085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9645, kappa: 0.9606, kb_relative_information_score: 0.9628, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9649, predictive_accuracy: 0.9645, prior_entropy: 3.3219, recall: 0.9645, relative_absolute_error: 0.0461, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.2584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.967, kappa: 0.9633, kb_relative_information_score: 0.9674, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9672, predictive_accuracy: 0.967, prior_entropy: 3.3219, recall: 0.967, relative_absolute_error: 0.0393, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.2451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.968, kappa: 0.9644, kb_relative_information_score: 0.9688, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9681, predictive_accuracy: 0.968, prior_entropy: 3.3219, recall: 0.968, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0716, root_relative_squared_error: 0.2386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7552, f_measure: 0.5421, kappa: 0.4906, kb_relative_information_score: 0.5205, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5443, predictive_accuracy: 0.5415, prior_entropy: 3.3219, recall: 0.5415, relative_absolute_error: 0.5094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3028, root_relative_squared_error: 1.0093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9715, kappa: 0.9683, kb_relative_information_score: 0.9675, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9718, predictive_accuracy: 0.9715, prior_entropy: 3.3219, recall: 0.9715, relative_absolute_error: 0.0469, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0672, root_relative_squared_error: 0.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9675, kappa: 0.9639, kb_relative_information_score: 0.9692, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9677, predictive_accuracy: 0.9675, prior_entropy: 3.3219, recall: 0.9675, relative_absolute_error: 0.037, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0711, root_relative_squared_error: 0.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9695, kappa: 0.9661, kb_relative_information_score: 0.9695, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9696, predictive_accuracy: 0.9695, prior_entropy: 3.3219, recall: 0.9695, relative_absolute_error: 0.0388, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0703, root_relative_squared_error: 0.2344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.972, kappa: 0.9689, kb_relative_information_score: 0.9732, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9722, predictive_accuracy: 0.972, prior_entropy: 3.3219, recall: 0.972, relative_absolute_error: 0.0335, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0666, root_relative_squared_error: 0.2219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9675, kappa: 0.9639, kb_relative_information_score: 0.9614, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9676, predictive_accuracy: 0.9675, prior_entropy: 3.3219, recall: 0.9675, relative_absolute_error: 0.0565, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.2319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9601, kappa: 0.9556, kb_relative_information_score: 0.925, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9604, predictive_accuracy: 0.96, prior_entropy: 3.3219, recall: 0.96, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0839, root_relative_squared_error: 0.2795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9625, kappa: 0.9583, kb_relative_information_score: 0.9594, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9626, predictive_accuracy: 0.9625, prior_entropy: 3.3219, recall: 0.9625, relative_absolute_error: 0.0528, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.2573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9675, kappa: 0.9639, kb_relative_information_score: 0.9655, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9677, predictive_accuracy: 0.9675, prior_entropy: 3.3219, recall: 0.9675, relative_absolute_error: 0.0441, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.2441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.969, kappa: 0.9656, kb_relative_information_score: 0.9681, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9692, predictive_accuracy: 0.969, prior_entropy: 3.3219, recall: 0.969, relative_absolute_error: 0.0401, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0704, root_relative_squared_error: 0.2346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.971, kappa: 0.9678, kb_relative_information_score: 0.9714, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9711, predictive_accuracy: 0.971, prior_entropy: 3.3219, recall: 0.971, relative_absolute_error: 0.0354, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0682, root_relative_squared_error: 0.2273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.963, kappa: 0.9589, kb_relative_information_score: 0.9607, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9633, predictive_accuracy: 0.963, prior_entropy: 3.3219, recall: 0.963, relative_absolute_error: 0.0511, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.2509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.975, kappa: 0.9722, kb_relative_information_score: 0.9744, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9752, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.977, kappa: 0.9744, kb_relative_information_score: 0.9758, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9772, predictive_accuracy: 0.977, prior_entropy: 3.3219, recall: 0.977, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0629, root_relative_squared_error: 0.2097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kappa: -0.0017, kb_relative_information_score: 0.0572, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.0985, prior_entropy: 3.3219, recall: 0.0985, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4246, root_relative_squared_error: 1.4154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.949, kappa: 0.9433, kb_relative_information_score: 0.9496, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9492, predictive_accuracy: 0.949, prior_entropy: 3.3219, recall: 0.949, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.3064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9639, kappa: 0.96, kb_relative_information_score: 0.9645, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9642, predictive_accuracy: 0.964, prior_entropy: 3.3219, recall: 0.964, relative_absolute_error: 0.0486, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.2413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, kappa: 0.0039, kb_relative_information_score: 0.0625, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1035, prior_entropy: 3.3219, recall: 0.1035, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4234, root_relative_squared_error: 1.4115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9745, kappa: 0.9717, kb_relative_information_score: 0.9754, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9747, predictive_accuracy: 0.9745, prior_entropy: 3.3219, recall: 0.9745, relative_absolute_error: 0.0303, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9745, kappa: 0.9717, kb_relative_information_score: 0.974, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9747, predictive_accuracy: 0.9745, prior_entropy: 3.3219, recall: 0.9745, relative_absolute_error: 0.0323, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0657, root_relative_squared_error: 0.2188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9735, kappa: 0.9706, kb_relative_information_score: 0.9737, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9737, predictive_accuracy: 0.9735, prior_entropy: 3.3219, recall: 0.9735, relative_absolute_error: 0.0329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0658, root_relative_squared_error: 0.2194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.97, kappa: 0.9667, kb_relative_information_score: 0.9654, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9702, predictive_accuracy: 0.97, prior_entropy: 3.3219, recall: 0.97, relative_absolute_error: 0.0474, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0693, root_relative_squared_error: 0.2309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9735, kappa: 0.9706, kb_relative_information_score: 0.9732, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9737, predictive_accuracy: 0.9735, prior_entropy: 3.3219, recall: 0.9735, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9664, kappa: 0.9628, kb_relative_information_score: 0.9671, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9668, predictive_accuracy: 0.9665, prior_entropy: 3.3219, recall: 0.9665, relative_absolute_error: 0.0405, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.2456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, f_measure: 0.6997, kappa: 0.6661, kb_relative_information_score: 0.6858, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7008, predictive_accuracy: 0.6995, prior_entropy: 3.3219, recall: 0.6995, relative_absolute_error: 0.3339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.8172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9685, kappa: 0.965, kb_relative_information_score: 0.9685, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9687, predictive_accuracy: 0.9685, prior_entropy: 3.3219, recall: 0.9685, relative_absolute_error: 0.0382, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.071, root_relative_squared_error: 0.2368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.8768, kappa: 0.8633, kb_relative_information_score: 0.8715, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8771, predictive_accuracy: 0.877, prior_entropy: 3.3219, recall: 0.877, relative_absolute_error: 0.1366, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.5224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.959, kappa: 0.9544, kb_relative_information_score: 0.9509, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9592, predictive_accuracy: 0.959, prior_entropy: 3.3219, recall: 0.959, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.2542,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs