Task
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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129575 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8107, kappa: 0.5773, kb_relative_information_score: 0.3552, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4507, weighted_recall: 0.812, number_of_instances: 601, precision: 0.81, predictive_accuracy: 0.812, prior_entropy: 0.9274, relative_absolute_error: 0.6627, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7821, unweighted_recall: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5258, kb_relative_information_score: -0.0153, mean_absolute_error: 0.4482, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4769, root_relative_squared_error: 1.0048, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: -0.0005, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, f_measure: 0.602, kappa: 0.0951, kb_relative_information_score: 0.106, mean_absolute_error: 0.3981, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6406, number_of_instances: 601, precision: 0.6019, predictive_accuracy: 0.6406, prior_entropy: 0.9274, relative_absolute_error: 0.8834, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.944, unweighted_recall: 0.5419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9963, kb_relative_information_score: 0.9159, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9983, number_of_instances: 601, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.9274, relative_absolute_error: 0.1101, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.1695, unweighted_recall: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.6372, kappa: 0.1783, kb_relative_information_score: 0.0908, mean_absolute_error: 0.4074, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6805, number_of_instances: 601, precision: 0.6573, predictive_accuracy: 0.6805, prior_entropy: 0.9274, relative_absolute_error: 0.9038, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4484, root_relative_squared_error: 0.9448, unweighted_recall: 0.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, kb_relative_information_score: -0.0062, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4752, root_relative_squared_error: 1.0011, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, f_measure: 0.5273, kappa: 0.0061, kb_relative_information_score: 0.0624, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, precision: 0.604, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 0.938, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9543, unweighted_recall: 0.5023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, kb_relative_information_score: -0.0098, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0027, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.8806, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4507, weighted_recall: 1, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9274, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.101, root_relative_squared_error: 0.2127, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8432, kappa: 0.6463, kb_relative_information_score: 0.3888, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8469, number_of_instances: 601, precision: 0.8457, predictive_accuracy: 0.8469, prior_entropy: 0.9274, relative_absolute_error: 0.6468, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.7384, unweighted_recall: 0.8104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7423, f_measure: 0.6071, kappa: 0.1085, kb_relative_information_score: 0.1194, mean_absolute_error: 0.3952, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6506, number_of_instances: 601, precision: 0.6126, predictive_accuracy: 0.6506, prior_entropy: 0.9274, relative_absolute_error: 0.8769, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.9278, unweighted_recall: 0.5472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5088, kb_relative_information_score: -0.006, mean_absolute_error: 0.4501, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0005, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4767, kb_relative_information_score: -0.0138, mean_absolute_error: 0.4519, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.0062, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9933, kappa: 0.9852, kb_relative_information_score: 0.8693, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9933, number_of_instances: 601, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 0.9274, relative_absolute_error: 0.1652, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.2447, unweighted_recall: 0.9915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, kb_relative_information_score: -0.0031, mean_absolute_error: 0.4501, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9999, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9668, kappa: 0.9263, kb_relative_information_score: 0.8676, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9667, number_of_instances: 601, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 0.9274, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.341, unweighted_recall: 0.9642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, kb_relative_information_score: -0.0006, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9402, kappa: 0.8677, kb_relative_information_score: 0.6819, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9401, number_of_instances: 601, precision: 0.9405, predictive_accuracy: 0.9401, prior_entropy: 0.9274, relative_absolute_error: 0.3556, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.5088, unweighted_recall: 0.9358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.529, kb_relative_information_score: -0.0001, mean_absolute_error: 0.4492, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9986, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.534, kappa: 0.0085, kb_relative_information_score: 0.0596, mean_absolute_error: 0.4221, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6539, number_of_instances: 601, precision: 0.5758, predictive_accuracy: 0.6539, prior_entropy: 0.9274, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9541, unweighted_recall: 0.5033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7239, f_measure: 0.5954, kappa: 0.0848, kb_relative_information_score: 0.1088, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6456, number_of_instances: 601, precision: 0.6018, predictive_accuracy: 0.6456, prior_entropy: 0.9274, relative_absolute_error: 0.8906, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.9377, unweighted_recall: 0.5364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6525, f_measure: 0.5739, kappa: 0.0404, kb_relative_information_score: 0.0494, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6339, number_of_instances: 601, precision: 0.5767, predictive_accuracy: 0.6339, prior_entropy: 0.9274, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4623, root_relative_squared_error: 0.9739, unweighted_recall: 0.5171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6403, f_measure: 0.5789, kappa: 0.0412, kb_relative_information_score: 0.0789, mean_absolute_error: 0.3994, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6057, number_of_instances: 601, precision: 0.5699, predictive_accuracy: 0.6057, prior_entropy: 0.9274, relative_absolute_error: 0.8862, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.9833, unweighted_recall: 0.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5796, f_measure: 0.5227, kappa: -0.0813, kb_relative_information_score: 0.0196, mean_absolute_error: 0.4235, mean_prior_absolute_error: 0.4507, weighted_recall: 0.579, number_of_instances: 601, precision: 0.5006, predictive_accuracy: 0.579, prior_entropy: 0.9274, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4784, root_relative_squared_error: 1.008, unweighted_recall: 0.4649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6621, f_measure: 0.6002, kappa: 0.0898, kb_relative_information_score: 0.1015, mean_absolute_error: 0.3919, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6256, number_of_instances: 601, precision: 0.594, predictive_accuracy: 0.6256, prior_entropy: 0.9274, relative_absolute_error: 0.8695, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4603, root_relative_squared_error: 0.9697, unweighted_recall: 0.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9653, kappa: 0.9238, kb_relative_information_score: 0.9152, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9651, number_of_instances: 601, precision: 0.9669, predictive_accuracy: 0.9651, prior_entropy: 0.9274, relative_absolute_error: 0.0826, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3628, unweighted_recall: 0.9699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.7959, kappa: 0.5484, kb_relative_information_score: 0.5149, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7953, number_of_instances: 601, precision: 0.7966, predictive_accuracy: 0.7953, prior_entropy: 0.9274, relative_absolute_error: 0.4602, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7638, unweighted_recall: 0.7758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.6243, kappa: 0.1444, kb_relative_information_score: 0.1199, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6539, number_of_instances: 601, precision: 0.6243, predictive_accuracy: 0.6539, prior_entropy: 0.9274, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9477, unweighted_recall: 0.5648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7716, f_measure: 0.6753, kappa: 0.2729, kb_relative_information_score: 0.2481, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6789, number_of_instances: 601, precision: 0.6729, predictive_accuracy: 0.6789, prior_entropy: 0.9274, relative_absolute_error: 0.7277, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9023, unweighted_recall: 0.6338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.7159, kappa: 0.3618, kb_relative_information_score: 0.3432, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7205, number_of_instances: 601, precision: 0.7138, predictive_accuracy: 0.7205, prior_entropy: 0.9274, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.8213, unweighted_recall: 0.6759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.7945, kappa: 0.542, kb_relative_information_score: 0.5364, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7953, number_of_instances: 601, precision: 0.7938, predictive_accuracy: 0.7953, prior_entropy: 0.9274, relative_absolute_error: 0.4471, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.7155, unweighted_recall: 0.7688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7358, kappa: 0.406, kb_relative_information_score: 0.3646, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7404, number_of_instances: 601, precision: 0.7342, predictive_accuracy: 0.7404, prior_entropy: 0.9274, relative_absolute_error: 0.6104, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.8172, unweighted_recall: 0.6968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.7326, kappa: 0.3971, kb_relative_information_score: 0.3386, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7388, number_of_instances: 601, precision: 0.7313, predictive_accuracy: 0.7388, prior_entropy: 0.9274, relative_absolute_error: 0.6403, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.8296, unweighted_recall: 0.6909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.6608, kappa: 0.2366, kb_relative_information_score: 0.2462, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6672, number_of_instances: 601, precision: 0.6573, predictive_accuracy: 0.6672, prior_entropy: 0.9274, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.418, root_relative_squared_error: 0.8806, unweighted_recall: 0.6144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9118, kappa: 0.804, kb_relative_information_score: 0.7891, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9118, number_of_instances: 601, precision: 0.9117, predictive_accuracy: 0.9118, prior_entropy: 0.9274, relative_absolute_error: 0.205, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.4942, unweighted_recall: 0.9016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.7809, kappa: 0.5148, kb_relative_information_score: 0.469, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7804, number_of_instances: 601, precision: 0.7814, predictive_accuracy: 0.7804, prior_entropy: 0.9274, relative_absolute_error: 0.5151, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.7703, unweighted_recall: 0.7586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.6822, kappa: 0.2809, kb_relative_information_score: 0.2379, mean_absolute_error: 0.3334, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6922, number_of_instances: 601, precision: 0.6796, predictive_accuracy: 0.6922, prior_entropy: 0.9274, relative_absolute_error: 0.7397, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8896, unweighted_recall: 0.6334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.6193, kappa: 0.1332, kb_relative_information_score: 0.1317, mean_absolute_error: 0.3807, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6439, number_of_instances: 601, precision: 0.6157, predictive_accuracy: 0.6439, prior_entropy: 0.9274, relative_absolute_error: 0.8445, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9527, unweighted_recall: 0.5607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.7449, kappa: 0.4271, kb_relative_information_score: 0.3709, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7488, number_of_instances: 601, precision: 0.7433, predictive_accuracy: 0.7488, prior_entropy: 0.9274, relative_absolute_error: 0.6034, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.8182, unweighted_recall: 0.7078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, f_measure: 0.6328, kappa: 0.1639, kb_relative_information_score: 0.126, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6622, number_of_instances: 601, precision: 0.6348, predictive_accuracy: 0.6622, prior_entropy: 0.9274, relative_absolute_error: 0.8519, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.442, root_relative_squared_error: 0.9313, unweighted_recall: 0.5735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.6445, kappa: 0.1943, kb_relative_information_score: 0.1792, mean_absolute_error: 0.3595, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, precision: 0.6402, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 0.7976, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.9076, unweighted_recall: 0.5917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.7094, kappa: 0.3394, kb_relative_information_score: 0.252, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7238, number_of_instances: 601, precision: 0.7123, predictive_accuracy: 0.7238, prior_entropy: 0.9274, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8746, unweighted_recall: 0.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.6264, kappa: 0.157, kb_relative_information_score: 0.1682, mean_absolute_error: 0.3571, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6356, number_of_instances: 601, precision: 0.6215, predictive_accuracy: 0.6356, prior_entropy: 0.9274, relative_absolute_error: 0.7923, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.9432, unweighted_recall: 0.5753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.7966, kappa: 0.5515, kb_relative_information_score: 0.485, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7953, number_of_instances: 601, precision: 0.7983, predictive_accuracy: 0.7953, prior_entropy: 0.9274, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7426, unweighted_recall: 0.7793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6268, f_measure: 0.572, kappa: 0.0295, kb_relative_information_score: 0.056, mean_absolute_error: 0.4131, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6206, number_of_instances: 601, precision: 0.5668, predictive_accuracy: 0.6206, prior_entropy: 0.9274, relative_absolute_error: 0.9166, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4641, root_relative_squared_error: 0.9778, unweighted_recall: 0.5128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.7134, kappa: 0.3573, kb_relative_information_score: 0.3281, mean_absolute_error: 0.2932, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7171, number_of_instances: 601, precision: 0.7113, predictive_accuracy: 0.7171, prior_entropy: 0.9274, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8345, unweighted_recall: 0.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.6716, kappa: 0.2537, kb_relative_information_score: 0.2292, mean_absolute_error: 0.3334, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6872, number_of_instances: 601, precision: 0.6706, predictive_accuracy: 0.6872, prior_entropy: 0.9274, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8924, unweighted_recall: 0.618,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5821, f_measure: 0.5885, kappa: 0.0646, kb_relative_information_score: 0.0214, mean_absolute_error: 0.4271, mean_prior_absolute_error: 0.4507, weighted_recall: 0.629, number_of_instances: 601, precision: 0.5852, predictive_accuracy: 0.629, prior_entropy: 0.9274, relative_absolute_error: 0.9475, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9998, unweighted_recall: 0.5284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.7091, kappa: 0.3514, kb_relative_information_score: 0.2812, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7105, number_of_instances: 601, precision: 0.7079, predictive_accuracy: 0.7105, prior_entropy: 0.9274, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8691, unweighted_recall: 0.6741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7088, kappa: 0.3433, kb_relative_information_score: 0.2992, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7155, number_of_instances: 601, precision: 0.7067, predictive_accuracy: 0.7155, prior_entropy: 0.9274, relative_absolute_error: 0.6768, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8515, unweighted_recall: 0.6651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6558, f_measure: 0.5836, kappa: 0.0537, kb_relative_information_score: 0.097, mean_absolute_error: 0.3922, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6256, number_of_instances: 601, precision: 0.5795, predictive_accuracy: 0.6256, prior_entropy: 0.9274, relative_absolute_error: 0.8702, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4628, root_relative_squared_error: 0.9751, unweighted_recall: 0.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.7359, kappa: 0.4085, kb_relative_information_score: 0.3863, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7388, number_of_instances: 601, precision: 0.7343, predictive_accuracy: 0.7388, prior_entropy: 0.9274, relative_absolute_error: 0.5895, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.8047, unweighted_recall: 0.7002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7009, f_measure: 0.6312, kappa: 0.1626, kb_relative_information_score: 0.1353, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6473, number_of_instances: 601, precision: 0.6265, predictive_accuracy: 0.6473, prior_entropy: 0.9274, relative_absolute_error: 0.8402, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.9448, unweighted_recall: 0.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6496, f_measure: 0.5884, kappa: 0.0656, kb_relative_information_score: 0.0822, mean_absolute_error: 0.4003, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6323, number_of_instances: 601, precision: 0.5869, predictive_accuracy: 0.6323, prior_entropy: 0.9274, relative_absolute_error: 0.8882, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.97, unweighted_recall: 0.5286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, f_measure: 0.6165, kappa: 0.1289, kb_relative_information_score: 0.139, mean_absolute_error: 0.3729, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6339, number_of_instances: 601, precision: 0.6107, predictive_accuracy: 0.6339, prior_entropy: 0.9274, relative_absolute_error: 0.8272, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4623, root_relative_squared_error: 0.9739, unweighted_recall: 0.5601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7484, f_measure: 0.6797, kappa: 0.2816, kb_relative_information_score: 0.2083, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6839, number_of_instances: 601, precision: 0.6771, predictive_accuracy: 0.6839, prior_entropy: 0.9274, relative_absolute_error: 0.7637, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.9114, unweighted_recall: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8522, kappa: 0.6725, kb_relative_information_score: 0.6588, mean_absolute_error: 0.1465, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8519, number_of_instances: 601, precision: 0.8525, predictive_accuracy: 0.8519, prior_entropy: 0.9274, relative_absolute_error: 0.325, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.6124, unweighted_recall: 0.8374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.6469, kappa: 0.2032, kb_relative_information_score: 0.1389, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6556, number_of_instances: 601, precision: 0.6427, predictive_accuracy: 0.6556, prior_entropy: 0.9274, relative_absolute_error: 0.8379, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9441, unweighted_recall: 0.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5829, f_measure: 0.5584, kappa: 0.0055, kb_relative_information_score: 0.0245, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6206, number_of_instances: 601, precision: 0.5532, predictive_accuracy: 0.6206, prior_entropy: 0.9274, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0008, unweighted_recall: 0.5023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.7008, kappa: 0.3368, kb_relative_information_score: 0.3473, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7005, number_of_instances: 601, precision: 0.7012, predictive_accuracy: 0.7005, prior_entropy: 0.9274, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.418, root_relative_squared_error: 0.8807, unweighted_recall: 0.6688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7325, f_measure: 0.6713, kappa: 0.2557, kb_relative_information_score: 0.1772, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6822, number_of_instances: 601, precision: 0.6683, predictive_accuracy: 0.6822, prior_entropy: 0.9274, relative_absolute_error: 0.7991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.9226, unweighted_recall: 0.6212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.7904, kappa: 0.539, kb_relative_information_score: 0.5108, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7887, number_of_instances: 601, precision: 0.793, predictive_accuracy: 0.7887, prior_entropy: 0.9274, relative_absolute_error: 0.4688, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.7341, unweighted_recall: 0.7742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.7808, kappa: 0.5111, kb_relative_information_score: 0.4656, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.4507, weighted_recall: 0.782, number_of_instances: 601, precision: 0.78, predictive_accuracy: 0.782, prior_entropy: 0.9274, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7621, unweighted_recall: 0.7529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6465, f_measure: 0.5991, kappa: 0.0881, kb_relative_information_score: 0.0715, mean_absolute_error: 0.4101, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6206, number_of_instances: 601, precision: 0.5921, predictive_accuracy: 0.6206, prior_entropy: 0.9274, relative_absolute_error: 0.91, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9723, unweighted_recall: 0.5407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5853, f_measure: 0.5523, kappa: -0.0161, kb_relative_information_score: 0.0252, mean_absolute_error: 0.4242, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6007, number_of_instances: 601, precision: 0.5402, predictive_accuracy: 0.6007, prior_entropy: 0.9274, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.9981, unweighted_recall: 0.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.6625, kappa: 0.2337, kb_relative_information_score: 0.2118, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6772, number_of_instances: 601, precision: 0.6602, predictive_accuracy: 0.6772, prior_entropy: 0.9274, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.9009, unweighted_recall: 0.6093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.6451, kappa: 0.2079, kb_relative_information_score: 0.2405, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6473, number_of_instances: 601, precision: 0.6432, predictive_accuracy: 0.6473, prior_entropy: 0.9274, relative_absolute_error: 0.7216, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.9357, unweighted_recall: 0.6027,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, f_measure: 0.6215, kappa: 0.1411, kb_relative_information_score: 0.1017, mean_absolute_error: 0.3946, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6373, number_of_instances: 601, precision: 0.616, predictive_accuracy: 0.6373, prior_entropy: 0.9274, relative_absolute_error: 0.8755, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.462, root_relative_squared_error: 0.9734, unweighted_recall: 0.5661,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.7699, kappa: 0.492, kb_relative_information_score: 0.4551, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7687, number_of_instances: 601, precision: 0.7714, predictive_accuracy: 0.7687, prior_entropy: 0.9274, relative_absolute_error: 0.5224, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.7708, unweighted_recall: 0.7486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.6447, kappa: 0.1993, kb_relative_information_score: 0.1755, mean_absolute_error: 0.3577, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6522, number_of_instances: 601, precision: 0.6405, predictive_accuracy: 0.6522, prior_entropy: 0.9274, relative_absolute_error: 0.7937, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9319, unweighted_recall: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.6806, kappa: 0.2807, kb_relative_information_score: 0.2433, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6872, number_of_instances: 601, precision: 0.6776, predictive_accuracy: 0.6872, prior_entropy: 0.9274, relative_absolute_error: 0.7348, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8724, unweighted_recall: 0.6354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, f_measure: 0.6772, kappa: 0.273, kb_relative_information_score: 0.2339, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6839, number_of_instances: 601, precision: 0.6741, predictive_accuracy: 0.6839, prior_entropy: 0.9274, relative_absolute_error: 0.7386, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.8902, unweighted_recall: 0.6317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7601, f_measure: 0.6594, kappa: 0.2337, kb_relative_information_score: 0.2301, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6656, number_of_instances: 601, precision: 0.6559, predictive_accuracy: 0.6656, prior_entropy: 0.9274, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8939, unweighted_recall: 0.6132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, f_measure: 0.6713, kappa: 0.2588, kb_relative_information_score: 0.2094, mean_absolute_error: 0.3454, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6789, number_of_instances: 601, precision: 0.668, predictive_accuracy: 0.6789, prior_entropy: 0.9274, relative_absolute_error: 0.7663, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.9192, unweighted_recall: 0.6245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6389, f_measure: 0.5876, kappa: 0.0646, kb_relative_information_score: 0.0725, mean_absolute_error: 0.4026, mean_prior_absolute_error: 0.4507, weighted_recall: 0.604, number_of_instances: 601, precision: 0.5798, predictive_accuracy: 0.604, prior_entropy: 0.9274, relative_absolute_error: 0.8931, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4663, root_relative_squared_error: 0.9825, unweighted_recall: 0.5303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8464, kappa: 0.6579, kb_relative_information_score: 0.662, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8469, number_of_instances: 601, precision: 0.846, predictive_accuracy: 0.8469, prior_entropy: 0.9274, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.6104, unweighted_recall: 0.8266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7668, f_measure: 0.6745, kappa: 0.2641, kb_relative_information_score: 0.2424, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6839, number_of_instances: 601, precision: 0.6714, predictive_accuracy: 0.6839, prior_entropy: 0.9274, relative_absolute_error: 0.729, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.9006, unweighted_recall: 0.6259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.7198, kappa: 0.3767, kb_relative_information_score: 0.363, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7205, number_of_instances: 601, precision: 0.7192, predictive_accuracy: 0.7205, prior_entropy: 0.9274, relative_absolute_error: 0.6128, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.8198, unweighted_recall: 0.6875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.7039, kappa: 0.3326, kb_relative_information_score: 0.2976, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7105, number_of_instances: 601, precision: 0.7016, predictive_accuracy: 0.7105, prior_entropy: 0.9274, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8794, unweighted_recall: 0.6601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6468, f_measure: 0.6026, kappa: 0.0951, kb_relative_information_score: 0.0807, mean_absolute_error: 0.3986, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6339, number_of_instances: 601, precision: 0.5987, predictive_accuracy: 0.6339, prior_entropy: 0.9274, relative_absolute_error: 0.8844, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9718, unweighted_recall: 0.5427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5976, f_measure: 0.5472, kappa: -0.0175, kb_relative_information_score: 0.0399, mean_absolute_error: 0.4204, mean_prior_absolute_error: 0.4507, weighted_recall: 0.614, number_of_instances: 601, precision: 0.5372, predictive_accuracy: 0.614, prior_entropy: 0.9274, relative_absolute_error: 0.9328, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9924, unweighted_recall: 0.4926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7295, f_measure: 0.6403, kappa: 0.1834, kb_relative_information_score: 0.1889, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6556, number_of_instances: 601, precision: 0.6362, predictive_accuracy: 0.6556, prior_entropy: 0.9274, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.922, unweighted_recall: 0.5858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5693, f_measure: 0.5439, kappa: 0.0032, kb_relative_information_score: 0.0268, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6406, number_of_instances: 601, precision: 0.5533, predictive_accuracy: 0.6406, prior_entropy: 0.9274, relative_absolute_error: 0.9482, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9949, unweighted_recall: 0.5013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, f_measure: 0.6039, kappa: 0.098, kb_relative_information_score: 0.0995, mean_absolute_error: 0.3933, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6356, number_of_instances: 601, precision: 0.6005, predictive_accuracy: 0.6356, prior_entropy: 0.9274, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.458, root_relative_squared_error: 0.9649, unweighted_recall: 0.5439,

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