OpenML
Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 3493 Supervised Classification monks-problems-2 129575 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6037, f_measure: 0.6081, kappa: 0.1089, kb_relative_information_score: 24.1534, mean_absolute_error: 0.4277, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6092, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8905, kappa: 0.7527, kb_relative_information_score: 436.2397, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8961, predictive_accuracy: 0.8935, prior_entropy: 0.9279, recall: 0.8935, relative_absolute_error: 0.2711, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.5711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8331, kappa: 0.6199, kb_relative_information_score: 324.1464, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8651, predictive_accuracy: 0.8453, prior_entropy: 0.9279, recall: 0.8453, relative_absolute_error: 0.4658, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.7023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5433, f_measure: 0.5501, kappa: 0.0399, kb_relative_information_score: 14.2799, mean_absolute_error: 0.4403, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.657, predictive_accuracy: 0.6639, prior_entropy: 0.9279, recall: 0.6639, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5188, f_measure: 0.5598, kappa: 0.0262, kb_relative_information_score: 3.1432, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.574, predictive_accuracy: 0.6423, prior_entropy: 0.9279, recall: 0.6423, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.636, f_measure: 0.6467, kappa: 0.1958, kb_relative_information_score: 48.5386, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6534, predictive_accuracy: 0.6772, prior_entropy: 0.9279, recall: 0.6772, relative_absolute_error: 0.9108, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.8831, kappa: 0.7397, kb_relative_information_score: 414.999, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8829, predictive_accuracy: 0.8835, prior_entropy: 0.9279, recall: 0.8835, relative_absolute_error: 0.2995, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.281, root_relative_squared_error: 0.5919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9934, kappa: 0.9853, kb_relative_information_score: 592.5449, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 0.9279, recall: 0.9933, relative_absolute_error: 0.0125, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.1367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.8767, kappa: 0.723, kb_relative_information_score: 404.0258, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8777, predictive_accuracy: 0.8785, prior_entropy: 0.9279, recall: 0.8785, relative_absolute_error: 0.3168, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.6099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9406, kappa: 0.8695, kb_relative_information_score: 513.1192, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9425, predictive_accuracy: 0.9401, prior_entropy: 0.9279, recall: 0.9401, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.4159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.6864, kappa: 0.2968, kb_relative_information_score: 131.2544, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6839, predictive_accuracy: 0.6905, prior_entropy: 0.9279, recall: 0.6905, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.9159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.599, f_measure: 0.6281, kappa: 0.1626, kb_relative_information_score: 40.3882, mean_absolute_error: 0.4181, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.659, predictive_accuracy: 0.6805, prior_entropy: 0.9279, recall: 0.6805, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5188, f_measure: 0.5598, kappa: 0.0262, kb_relative_information_score: 3.1432, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.574, predictive_accuracy: 0.6423, prior_entropy: 0.9279, recall: 0.6423, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6414, f_measure: 0.6388, kappa: 0.1779, kb_relative_information_score: 46.104, mean_absolute_error: 0.4107, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.637, predictive_accuracy: 0.6606, prior_entropy: 0.9279, recall: 0.6606, relative_absolute_error: 0.9112, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5188, f_measure: 0.5598, kappa: 0.0262, kb_relative_information_score: 3.1432, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.574, predictive_accuracy: 0.6423, prior_entropy: 0.9279, recall: 0.6423, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7422, f_measure: 0.7172, kappa: 0.3632, kb_relative_information_score: 173.0292, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7942, predictive_accuracy: 0.7571, prior_entropy: 0.9279, recall: 0.7571, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9486, kappa: 0.8862, kb_relative_information_score: 525.4663, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9489, predictive_accuracy: 0.9484, prior_entropy: 0.9279, recall: 0.9484, relative_absolute_error: 0.1184, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.193, root_relative_squared_error: 0.4066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9273, kappa: 0.8401, kb_relative_information_score: 502.4493, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9289, predictive_accuracy: 0.9268, prior_entropy: 0.9279, recall: 0.9268, relative_absolute_error: 0.1547, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.4468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5926, kappa: 0.0798, kb_relative_information_score: 9.5109, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6002, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6037, f_measure: 0.6081, kappa: 0.1089, kb_relative_information_score: 24.1534, mean_absolute_error: 0.4277, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6092, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9917, kappa: 0.9816, kb_relative_information_score: 589.1033, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9918, predictive_accuracy: 0.9917, prior_entropy: 0.9279, recall: 0.9917, relative_absolute_error: 0.0185, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.1922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6037, f_measure: 0.6081, kappa: 0.1089, kb_relative_information_score: 24.1534, mean_absolute_error: 0.4277, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6092, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6389, f_measure: 0.6329, kappa: 0.1651, kb_relative_information_score: 43.8341, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6292, predictive_accuracy: 0.6522, prior_entropy: 0.9279, recall: 0.6522, relative_absolute_error: 0.9127, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7256, f_measure: 0.7088, kappa: 0.3424, kb_relative_information_score: 156.6414, mean_absolute_error: 0.3361, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.769, predictive_accuracy: 0.7471, prior_entropy: 0.9279, recall: 0.7471, relative_absolute_error: 0.7457, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.8759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.7088, kappa: 0.3424, kb_relative_information_score: 157.9022, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.769, predictive_accuracy: 0.7471, prior_entropy: 0.9279, recall: 0.7471, relative_absolute_error: 0.7432, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5926, kappa: 0.0798, kb_relative_information_score: 9.5109, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6002, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.788, kappa: 0.5316, kb_relative_information_score: 273.8558, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7892, predictive_accuracy: 0.787, prior_entropy: 0.9279, recall: 0.787, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.5402, kappa: -0.0127, kb_relative_information_score: -4.7808, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5364, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7418, kappa: 0.4232, kb_relative_information_score: 210.6066, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7405, predictive_accuracy: 0.7438, prior_entropy: 0.9279, recall: 0.7438, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, f_measure: 0.7189, kappa: 0.3632, kb_relative_information_score: 165.5326, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7677, predictive_accuracy: 0.7521, prior_entropy: 0.9279, recall: 0.7521, relative_absolute_error: 0.7306, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5926, kappa: 0.0798, kb_relative_information_score: 9.5109, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6002, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.5402, kappa: -0.0127, kb_relative_information_score: -4.7808, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5364, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5955, f_measure: 0.6133, kappa: 0.1239, kb_relative_information_score: 24.3234, mean_absolute_error: 0.4288, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6239, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.9513, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7418, kappa: 0.4232, kb_relative_information_score: 210.6066, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7405, predictive_accuracy: 0.7438, prior_entropy: 0.9279, recall: 0.7438, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.7842, kappa: 0.5221, kb_relative_information_score: 274.5213, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7847, predictive_accuracy: 0.7837, prior_entropy: 0.9279, recall: 0.7837, relative_absolute_error: 0.528, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.5402, kappa: -0.0127, kb_relative_information_score: -4.7808, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5364, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.6864, kappa: 0.2968, kb_relative_information_score: 131.2544, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6839, predictive_accuracy: 0.6905, prior_entropy: 0.9279, recall: 0.6905, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.9159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5926, kappa: 0.0798, kb_relative_information_score: 9.5109, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6002, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7461, f_measure: 0.686, kappa: 0.2951, kb_relative_information_score: 130.702, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6833, predictive_accuracy: 0.6905, prior_entropy: 0.9279, recall: 0.6905, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.9153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8579, kappa: 0.6777, kb_relative_information_score: 387.2729, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8681, predictive_accuracy: 0.8636, prior_entropy: 0.9279, recall: 0.8636, relative_absolute_error: 0.352, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.5402, kappa: -0.0127, kb_relative_information_score: -4.7808, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5364, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8848, kappa: 0.7437, kb_relative_information_score: 416.5766, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8846, predictive_accuracy: 0.8852, prior_entropy: 0.9279, recall: 0.8852, relative_absolute_error: 0.2969, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.28, root_relative_squared_error: 0.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6037, f_measure: 0.6081, kappa: 0.1089, kb_relative_information_score: 24.1534, mean_absolute_error: 0.4277, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6092, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9486, kappa: 0.8862, kb_relative_information_score: 525.4663, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9489, predictive_accuracy: 0.9484, prior_entropy: 0.9279, recall: 0.9484, relative_absolute_error: 0.1184, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.193, root_relative_squared_error: 0.4066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9934, kappa: 0.9853, kb_relative_information_score: 592.5449, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 0.9279, recall: 0.9933, relative_absolute_error: 0.0125, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.1367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.5402, kappa: -0.0127, kb_relative_information_score: -4.7808, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5364, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6037, f_measure: 0.6081, kappa: 0.1089, kb_relative_information_score: 24.1534, mean_absolute_error: 0.4277, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6092, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.5402, kappa: -0.0127, kb_relative_information_score: -4.7808, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5364, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.7842, kappa: 0.5221, kb_relative_information_score: 274.5213, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7847, predictive_accuracy: 0.7837, prior_entropy: 0.9279, recall: 0.7837, relative_absolute_error: 0.528, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5144, f_measure: 0.5735, kappa: 0.0716, kb_relative_information_score: 10.1763, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6465, predictive_accuracy: 0.6672, prior_entropy: 0.9279, recall: 0.6672, relative_absolute_error: 0.9791, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.5402, kappa: -0.0127, kb_relative_information_score: -4.7808, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5364, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5926, kappa: 0.0798, kb_relative_information_score: 9.5109, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6002, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5955, f_measure: 0.6133, kappa: 0.1239, kb_relative_information_score: 24.3234, mean_absolute_error: 0.4288, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6239, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.9513, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.6864, kappa: 0.2968, kb_relative_information_score: 131.2544, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6839, predictive_accuracy: 0.6905, prior_entropy: 0.9279, recall: 0.6905, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.9159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8386, kappa: 0.633, kb_relative_information_score: 345.3605, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8545, predictive_accuracy: 0.8469, prior_entropy: 0.9279, recall: 0.8469, relative_absolute_error: 0.4248, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.6905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.5402, kappa: -0.0127, kb_relative_information_score: -4.7808, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5364, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9414, kappa: 0.8691, kb_relative_information_score: 510.1205, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9417, predictive_accuracy: 0.9418, prior_entropy: 0.9279, recall: 0.9418, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5926, kappa: 0.0798, kb_relative_information_score: 9.5109, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6002, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.5402, kappa: -0.0127, kb_relative_information_score: -4.7808, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5364, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.5402, kappa: -0.0127, kb_relative_information_score: -4.7808, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5364, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5188, f_measure: 0.5598, kappa: 0.0262, kb_relative_information_score: 3.1432, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.574, predictive_accuracy: 0.6423, prior_entropy: 0.9279, recall: 0.6423, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8848, kappa: 0.7437, kb_relative_information_score: 416.5766, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8846, predictive_accuracy: 0.8852, prior_entropy: 0.9279, recall: 0.8852, relative_absolute_error: 0.2969, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.28, root_relative_squared_error: 0.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.788, kappa: 0.5316, kb_relative_information_score: 273.8558, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7892, predictive_accuracy: 0.787, prior_entropy: 0.9279, recall: 0.787, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5926, kappa: 0.0798, kb_relative_information_score: 9.5109, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6002, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.6864, kappa: 0.2968, kb_relative_information_score: 131.2544, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6839, predictive_accuracy: 0.6905, prior_entropy: 0.9279, recall: 0.6905, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.9159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.477, f_measure: 0.5186, kappa: -0.02, kb_relative_information_score: -3.1464, mean_absolute_error: 0.4516, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4677, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4769, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.5402, kappa: -0.0127, kb_relative_information_score: -4.7808, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5364, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.6864, kappa: 0.2968, kb_relative_information_score: 131.2544, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6839, predictive_accuracy: 0.6905, prior_entropy: 0.9279, recall: 0.6905, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.9159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5926, kappa: 0.0798, kb_relative_information_score: 9.5109, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6002, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.6471, kappa: 0.2198, kb_relative_information_score: 94.1521, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7587, predictive_accuracy: 0.7138, prior_entropy: 0.9279, recall: 0.7138, relative_absolute_error: 0.8483, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9406, kappa: 0.8695, kb_relative_information_score: 513.1192, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9425, predictive_accuracy: 0.9401, prior_entropy: 0.9279, recall: 0.9401, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.4159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9769, kappa: 0.949, kb_relative_information_score: 570.5694, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9778, predictive_accuracy: 0.9767, prior_entropy: 0.9279, recall: 0.9767, relative_absolute_error: 0.0468, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.128, root_relative_squared_error: 0.2698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.5402, kappa: -0.0127, kb_relative_information_score: -4.7808, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5364, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9769, kappa: 0.949, kb_relative_information_score: 570.5694, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9778, predictive_accuracy: 0.9767, prior_entropy: 0.9279, recall: 0.9767, relative_absolute_error: 0.0468, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.128, root_relative_squared_error: 0.2698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9769, kappa: 0.949, kb_relative_information_score: 570.5694, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9778, predictive_accuracy: 0.9767, prior_entropy: 0.9279, recall: 0.9767, relative_absolute_error: 0.0468, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.128, root_relative_squared_error: 0.2698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5376, f_measure: 0.5882, kappa: 0.0722, kb_relative_information_score: 7.3968, mean_absolute_error: 0.4421, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5977, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5926, kappa: 0.0798, kb_relative_information_score: 9.5109, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6002, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.788, kappa: 0.5316, kb_relative_information_score: 273.8558, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7892, predictive_accuracy: 0.787, prior_entropy: 0.9279, recall: 0.787, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7831,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7418, kappa: 0.4232, kb_relative_information_score: 210.6066, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7405, predictive_accuracy: 0.7438, prior_entropy: 0.9279, recall: 0.7438, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9388, kappa: 0.8651, kb_relative_information_score: 508.2328, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9398, predictive_accuracy: 0.9384, prior_entropy: 0.9279, recall: 0.9384, relative_absolute_error: 0.1465, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.4326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5926, kappa: 0.0798, kb_relative_information_score: 9.5109, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6002, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4893, f_measure: 0.5269, kappa: -0.0108, kb_relative_information_score: -1.0323, mean_absolute_error: 0.4501, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5221, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4766, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.477, f_measure: 0.5186, kappa: -0.02, kb_relative_information_score: -3.1464, mean_absolute_error: 0.4516, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4677, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4769, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9769, kappa: 0.949, kb_relative_information_score: 570.5694, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9778, predictive_accuracy: 0.9767, prior_entropy: 0.9279, recall: 0.9767, relative_absolute_error: 0.0468, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.128, root_relative_squared_error: 0.2698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5926, kappa: 0.0798, kb_relative_information_score: 9.5109, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6002, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5926, kappa: 0.0798, kb_relative_information_score: 9.5109, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6002, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5211, f_measure: 0.5948, kappa: 0.1052, kb_relative_information_score: 13.6035, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6513, predictive_accuracy: 0.6722, prior_entropy: 0.9279, recall: 0.6722, relative_absolute_error: 0.9735, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5635, f_measure: 0.6042, kappa: 0.1116, kb_relative_information_score: 18.6342, mean_absolute_error: 0.4337, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6291, predictive_accuracy: 0.6639, prior_entropy: 0.9279, recall: 0.6639, relative_absolute_error: 0.9622, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9956,

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

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From your own software

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

OpenML APIs