Task
Supervised Classification on eeg-eye-state

Supervised Classification on eeg-eye-state

Task 9983 Supervised Classification eeg-eye-state 92060 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 125.9565, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.593, kappa: 0.1935, kb_relative_information_score: 1198.2419, mean_absolute_error: 0.4625, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.62, predictive_accuracy: 0.617, prior_entropy: 0.9924, recall: 0.617, relative_absolute_error: 0.9349, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4765, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.6405, kappa: 0.278, kb_relative_information_score: 1074.8133, mean_absolute_error: 0.4672, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.656, predictive_accuracy: 0.6533, prior_entropy: 0.9924, recall: 0.6533, relative_absolute_error: 0.9443, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -43.7666, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -12.9262, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 23.3874, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6656, f_measure: 0.5958, kappa: 0.1861, kb_relative_information_score: 1332.0058, mean_absolute_error: 0.4579, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6043, predictive_accuracy: 0.608, prior_entropy: 0.9924, recall: 0.608, relative_absolute_error: 0.9256, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4765, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 1.3447, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 15.3856, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -74.1633, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, f_measure: 0.7204, kappa: 0.4342, kb_relative_information_score: 3595.4901, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7203, predictive_accuracy: 0.721, prior_entropy: 0.9924, recall: 0.721, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.433, root_relative_squared_error: 0.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 37.1224, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.678, f_measure: 0.617, kappa: 0.2266, kb_relative_information_score: 1580.4182, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6231, predictive_accuracy: 0.6258, prior_entropy: 0.9924, recall: 0.6258, relative_absolute_error: 0.9107, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.7931, kappa: 0.5808, kb_relative_information_score: 5726.4356, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7949, predictive_accuracy: 0.7945, prior_entropy: 0.9924, recall: 0.7945, relative_absolute_error: 0.6562, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.7669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -42.2023, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.6788, kappa: 0.3491, kb_relative_information_score: 1722.4151, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6799, predictive_accuracy: 0.6814, prior_entropy: 0.9924, recall: 0.6814, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -8.8336, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.6093, kappa: 0.2105, kb_relative_information_score: 1509.7052, mean_absolute_error: 0.4525, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6142, predictive_accuracy: 0.6176, prior_entropy: 0.9924, recall: 0.6176, relative_absolute_error: 0.9145, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4748, root_relative_squared_error: 0.9546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.7538, kappa: 0.5011, kb_relative_information_score: 3721.5097, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7574, predictive_accuracy: 0.7564, prior_entropy: 0.9924, recall: 0.7564, relative_absolute_error: 0.7883, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.8438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6702, f_measure: 0.6112, kappa: 0.2142, kb_relative_information_score: 1526.3699, mean_absolute_error: 0.4519, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6159, predictive_accuracy: 0.6192, prior_entropy: 0.9924, recall: 0.6192, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4751, root_relative_squared_error: 0.9553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 232.2786, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9875, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6652, f_measure: 0.5259, kappa: 0.1112, kb_relative_information_score: 487.6404, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6035, predictive_accuracy: 0.5883, prior_entropy: 0.9924, recall: 0.5883, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4871, root_relative_squared_error: 0.9794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6642, f_measure: 0.5206, kappa: 0.106, kb_relative_information_score: 508.5718, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6033, predictive_accuracy: 0.5866, prior_entropy: 0.9924, recall: 0.5866, relative_absolute_error: 0.9742, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4868, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5162, kb_relative_information_score: -172.035, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0075, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.3507, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.7735, kappa: 0.5416, kb_relative_information_score: 6688.6683, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7735, predictive_accuracy: 0.774, prior_entropy: 0.9924, recall: 0.774, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.7909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -17.9715, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, f_measure: 0.6716, kappa: 0.3352, kb_relative_information_score: 2285.3567, mean_absolute_error: 0.4303, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6713, predictive_accuracy: 0.6724, prior_entropy: 0.9924, recall: 0.6724, relative_absolute_error: 0.8698, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7437, f_measure: 0.6737, kappa: 0.3393, kb_relative_information_score: 1598.0472, mean_absolute_error: 0.4527, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6776, predictive_accuracy: 0.6784, prior_entropy: 0.9924, recall: 0.6784, relative_absolute_error: 0.915, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6789, f_measure: 0.6316, kappa: 0.2534, kb_relative_information_score: 2243.1017, mean_absolute_error: 0.4281, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6326, predictive_accuracy: 0.6352, prior_entropy: 0.9924, recall: 0.6352, relative_absolute_error: 0.8652, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 24.8374, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -92.2367, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, f_measure: 0.6626, kappa: 0.3167, kb_relative_information_score: 1831.8241, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6661, predictive_accuracy: 0.6674, prior_entropy: 0.9924, recall: 0.6674, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -1.7832, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -60.7271, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -11.5802, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 215.152, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -4.0598, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 16.1666, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 130.9226, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6623, f_measure: 0.5812, kappa: 0.17, kb_relative_information_score: 953.7211, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6059, predictive_accuracy: 0.6057, prior_entropy: 0.9924, recall: 0.6057, relative_absolute_error: 0.9487, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.9657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 1.5515, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -0.5511, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 13.7065, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -9.2133, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -25.8578, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 22.4117, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -3.4211, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -22.82, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, f_measure: 0.6238, kappa: 0.242, kb_relative_information_score: 1529.6471, mean_absolute_error: 0.4526, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6334, predictive_accuracy: 0.6346, prior_entropy: 0.9924, recall: 0.6346, relative_absolute_error: 0.9149, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -3.3448, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.5578, kappa: 0.151, kb_relative_information_score: 713.7283, mean_absolute_error: 0.4767, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6163, predictive_accuracy: 0.6032, prior_entropy: 0.9924, recall: 0.6032, relative_absolute_error: 0.9635, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4826, root_relative_squared_error: 0.9703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, f_measure: 0.6463, kappa: 0.2838, kb_relative_information_score: 2097.7856, mean_absolute_error: 0.4345, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.646, predictive_accuracy: 0.6473, prior_entropy: 0.9924, recall: 0.6473, relative_absolute_error: 0.8783, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4679, root_relative_squared_error: 0.9407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 5.9322, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6744, f_measure: 0.4158, kappa: 0.0219, kb_relative_information_score: 412.5073, mean_absolute_error: 0.4845, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6557, predictive_accuracy: 0.5595, prior_entropy: 0.9924, recall: 0.5595, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4887, root_relative_squared_error: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.755, kappa: 0.5048, kb_relative_information_score: 5332.9459, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.755, predictive_accuracy: 0.755, prior_entropy: 0.9924, recall: 0.755, relative_absolute_error: 0.6724, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7392, f_measure: 0.6794, kappa: 0.3506, kb_relative_information_score: 2142.874, mean_absolute_error: 0.4358, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6792, predictive_accuracy: 0.6805, prior_entropy: 0.9924, recall: 0.6805, relative_absolute_error: 0.8808, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -107.7098, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0046, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.691, f_measure: 0.641, kappa: 0.2735, kb_relative_information_score: 3721.3485, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6407, predictive_accuracy: 0.6417, prior_entropy: 0.9924, recall: 0.6417, relative_absolute_error: 0.7539, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5262, root_relative_squared_error: 1.0579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.634, kappa: 0.2608, kb_relative_information_score: 1772.7206, mean_absolute_error: 0.4453, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6408, predictive_accuracy: 0.6423, prior_entropy: 0.9924, recall: 0.6423, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -9.9073, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.6811, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 10.4383, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -15.8188, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -143.6127, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 1.0747, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: -75.106, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 16.1514, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.3419, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -19.448, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -77.2601, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.6603, kappa: 0.3122, kb_relative_information_score: 3743.2626, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.66, predictive_accuracy: 0.6613, prior_entropy: 0.9924, recall: 0.6613, relative_absolute_error: 0.7613, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4826, root_relative_squared_error: 0.9702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 6.7255, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 12.7595, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -14.6851, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -18.1714, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6685, f_measure: 0.6101, kappa: 0.2137, kb_relative_information_score: 1309.7132, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6177, predictive_accuracy: 0.6205, prior_entropy: 0.9924, recall: 0.6205, relative_absolute_error: 0.9274, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4762, root_relative_squared_error: 0.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.6443, kappa: 0.281, kb_relative_information_score: 1927.0793, mean_absolute_error: 0.4399, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6443, predictive_accuracy: 0.6443, prior_entropy: 0.9924, recall: 0.6443, relative_absolute_error: 0.8891, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -13.2041, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.7365, kappa: 0.4661, kb_relative_information_score: 3826.5701, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7395, predictive_accuracy: 0.7392, prior_entropy: 0.9924, recall: 0.7392, relative_absolute_error: 0.7765, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 20.3261, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7431, f_measure: 0.6821, kappa: 0.3565, kb_relative_information_score: 2674.5037, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6819, predictive_accuracy: 0.6828, prior_entropy: 0.9924, recall: 0.6828, relative_absolute_error: 0.8456, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -16.7263, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -5.8935, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -14.8262, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 25.8712, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -36.6684, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 2.8526, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 33.8306, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -15.3254, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.709, kappa: 0.4104, kb_relative_information_score: 3472.875, mean_absolute_error: 0.3937, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.71, predictive_accuracy: 0.711, prior_entropy: 0.9924, recall: 0.711, relative_absolute_error: 0.7957, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -5.6974, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7317, f_measure: 0.6772, kappa: 0.347, kb_relative_information_score: 2353.6679, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.677, predictive_accuracy: 0.6776, prior_entropy: 0.9924, recall: 0.6776, relative_absolute_error: 0.8659, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.8269, kappa: 0.6496, kb_relative_information_score: 7625.9176, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8269, predictive_accuracy: 0.8271, prior_entropy: 0.9924, recall: 0.8271, relative_absolute_error: 0.5209, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.7003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.6674, kappa: 0.3276, kb_relative_information_score: 2180.8463, mean_absolute_error: 0.4337, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6741, predictive_accuracy: 0.674, prior_entropy: 0.9924, recall: 0.674, relative_absolute_error: 0.8766, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -45.87, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 21.9123, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5527, f_measure: 0.5546, kappa: 0.1047, kb_relative_information_score: 1398.9692, mean_absolute_error: 0.4465, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5573, predictive_accuracy: 0.5535, prior_entropy: 0.9924, recall: 0.5535, relative_absolute_error: 0.9024, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6682, root_relative_squared_error: 1.3434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.6136, kappa: 0.2211, kb_relative_information_score: 1349.1228, mean_absolute_error: 0.4578, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6218, predictive_accuracy: 0.6242, prior_entropy: 0.9924, recall: 0.6242, relative_absolute_error: 0.9252, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7271, f_measure: 0.671, kappa: 0.3333, kb_relative_information_score: 1884.6497, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6713, predictive_accuracy: 0.673, prior_entropy: 0.9924, recall: 0.673, relative_absolute_error: 0.8964, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4623, root_relative_squared_error: 0.9295,

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