Task
Supervised Classification on Australian

Supervised Classification on Australian

Task 146818 Supervised Classification Australian 4202 runs submitted
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4202 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.8451, kappa: 0.687, kb_relative_information_score: 472.1928, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8456, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.3139, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.8568, kappa: 0.7151, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8705, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.7858, kappa: 0.5671, kb_relative_information_score: 388.7475, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7864, predictive_accuracy: 0.7855, prior_entropy: 0.9913, recall: 0.7855, relative_absolute_error: 0.4342, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, f_measure: 0.6212, kappa: 0.27, kb_relative_information_score: 213.7159, mean_absolute_error: 0.3391, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.705, predictive_accuracy: 0.6609, prior_entropy: 0.9913, recall: 0.6609, relative_absolute_error: 0.6866, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5823, root_relative_squared_error: 1.1718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8541, kappa: 0.7079, kb_relative_information_score: 484.4043, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8617, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8567, kappa: 0.7105, kb_relative_information_score: 447.4098, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8574, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.3652, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.8726, kappa: 0.7423, kb_relative_information_score: 438.6749, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8728, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.3874, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.8697, kappa: 0.7366, kb_relative_information_score: 436.8994, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8701, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.8262, kappa: 0.6486, kb_relative_information_score: 445.7346, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8265, predictive_accuracy: 0.8261, prior_entropy: 0.9913, recall: 0.8261, relative_absolute_error: 0.3521, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.8405, kappa: 0.677, kb_relative_information_score: 466.0871, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8405, predictive_accuracy: 0.8406, prior_entropy: 0.9913, recall: 0.8406, relative_absolute_error: 0.3227, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.8697, kappa: 0.7366, kb_relative_information_score: 438.9562, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8701, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.3896, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3051, root_relative_squared_error: 0.6139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8395, kappa: 0.6751, kb_relative_information_score: 127.4228, mean_absolute_error: 0.4244, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8579, predictive_accuracy: 0.8435, prior_entropy: 0.9913, recall: 0.8435, relative_absolute_error: 0.8593, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.8582, kappa: 0.7134, kb_relative_information_score: 442.4016, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8587, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.3749, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7185, kappa: 0.451, kb_relative_information_score: 329.7252, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8105, predictive_accuracy: 0.7435, prior_entropy: 0.9913, recall: 0.7435, relative_absolute_error: 0.5193, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5065, root_relative_squared_error: 1.0192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8641, kappa: 0.7265, kb_relative_information_score: 498.6511, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.867, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.864, kappa: 0.7251, kb_relative_information_score: 413.5731, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8645, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.4324, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.311, root_relative_squared_error: 0.6258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7602, f_measure: 0.7706, kappa: 0.5418, kb_relative_information_score: 384.677, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8168, predictive_accuracy: 0.7826, prior_entropy: 0.9913, recall: 0.7826, relative_absolute_error: 0.4401, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4663, root_relative_squared_error: 0.9382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8697, kappa: 0.7364, kb_relative_information_score: 445.8564, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8699, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.3718, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.6444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.8435, kappa: 0.6826, kb_relative_information_score: 474.2281, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8553, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.311, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.7887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.8451, kappa: 0.687, kb_relative_information_score: 472.1928, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8456, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.3139, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.4007, kappa: -0.0015, kb_relative_information_score: 63.1073, mean_absolute_error: 0.4464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4859, predictive_accuracy: 0.5536, prior_entropy: 0.9913, recall: 0.5536, relative_absolute_error: 0.9037, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6681, root_relative_squared_error: 1.3444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8582, f_measure: 0.8595, kappa: 0.7157, kb_relative_information_score: 492.5454, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8596, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.8554, kappa: 0.7118, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8671, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5378, f_measure: 0.469, kappa: 0.0831, kb_relative_information_score: 111.9533, mean_absolute_error: 0.4116, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.746, predictive_accuracy: 0.5884, prior_entropy: 0.9913, recall: 0.5884, relative_absolute_error: 0.8333, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6416, root_relative_squared_error: 1.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.8653, kappa: 0.7274, kb_relative_information_score: 500.6864, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8654, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.6913, kappa: 0.3903, kb_relative_information_score: 286.9849, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7477, predictive_accuracy: 0.713, prior_entropy: 0.9913, recall: 0.713, relative_absolute_error: 0.5809, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5357, root_relative_squared_error: 1.0779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.8582, kappa: 0.7181, kb_relative_information_score: 490.5101, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8724, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.2875, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5983, f_measure: 0.5824, kappa: 0.2107, kb_relative_information_score: 179.1166, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6867, predictive_accuracy: 0.6362, prior_entropy: 0.9913, recall: 0.6362, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6031, root_relative_squared_error: 1.2136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.8525, kappa: 0.7064, kb_relative_information_score: 482.3691, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8657, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.2993, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.4032, kappa: -0.0007, kb_relative_information_score: 63.1073, mean_absolute_error: 0.4464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4987, predictive_accuracy: 0.5536, prior_entropy: 0.9913, recall: 0.5536, relative_absolute_error: 0.9037, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6681, root_relative_squared_error: 1.3444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6488, f_measure: 0.6485, kappa: 0.3146, kb_relative_information_score: 240.1742, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7184, predictive_accuracy: 0.6797, prior_entropy: 0.9913, recall: 0.6797, relative_absolute_error: 0.6484, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5659, root_relative_squared_error: 1.1388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8539, kappa: 0.7092, kb_relative_information_score: 484.4043, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8668, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.864, kappa: 0.7254, kb_relative_information_score: 498.6511, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.865, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.512, f_measure: 0.4395, kappa: 0.0264, kb_relative_information_score: 75.3188, mean_absolute_error: 0.4377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5724, predictive_accuracy: 0.5623, prior_entropy: 0.9913, recall: 0.5623, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6616, root_relative_squared_error: 1.3312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.4032, kappa: -0.0007, kb_relative_information_score: 63.1073, mean_absolute_error: 0.4464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4987, predictive_accuracy: 0.5536, prior_entropy: 0.9913, recall: 0.5536, relative_absolute_error: 0.9037, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6681, root_relative_squared_error: 1.3444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.4, kappa: -0.0044, kb_relative_information_score: 61.072, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4559, predictive_accuracy: 0.5522, prior_entropy: 0.9913, recall: 0.5522, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6692, root_relative_squared_error: 1.3466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.835, kappa: 0.6649, kb_relative_information_score: 459.9813, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8376, predictive_accuracy: 0.8362, prior_entropy: 0.9913, recall: 0.8362, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.8526, kappa: 0.704, kb_relative_information_score: 482.3691, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.2993, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.8216, kappa: 0.6385, kb_relative_information_score: 439.6288, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8215, predictive_accuracy: 0.8217, prior_entropy: 0.9913, recall: 0.8217, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.8013, kappa: 0.5967, kb_relative_information_score: 415.2058, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.809, predictive_accuracy: 0.8043, prior_entropy: 0.9913, recall: 0.8043, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.8901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.4014, kappa: 0.0014, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5307, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.8496, kappa: 0.7003, kb_relative_information_score: 478.2986, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8612, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.3051, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8569, kappa: 0.712, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8599, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.8262, kappa: 0.6486, kb_relative_information_score: 445.7346, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8265, predictive_accuracy: 0.8261, prior_entropy: 0.9913, recall: 0.8261, relative_absolute_error: 0.3521, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.8271, kappa: 0.6494, kb_relative_information_score: 447.7698, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8273, predictive_accuracy: 0.8275, prior_entropy: 0.9913, recall: 0.8275, relative_absolute_error: 0.3492, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.819, kappa: 0.6338, kb_relative_information_score: 435.5583, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8192, predictive_accuracy: 0.8188, prior_entropy: 0.9913, recall: 0.8188, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.4007, kappa: -0.0015, kb_relative_information_score: 63.1073, mean_absolute_error: 0.4464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4859, predictive_accuracy: 0.5536, prior_entropy: 0.9913, recall: 0.5536, relative_absolute_error: 0.9037, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6681, root_relative_squared_error: 1.3444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8626, kappa: 0.7224, kb_relative_information_score: 496.6159, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8634, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5739, f_measure: 0.5446, kappa: 0.1597, kb_relative_information_score: 150.6231, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6763, predictive_accuracy: 0.6159, prior_entropy: 0.9913, recall: 0.6159, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6197, root_relative_squared_error: 1.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.512, f_measure: 0.4395, kappa: 0.0264, kb_relative_information_score: 75.3188, mean_absolute_error: 0.4377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5724, predictive_accuracy: 0.5623, prior_entropy: 0.9913, recall: 0.5623, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6616, root_relative_squared_error: 1.3312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7918, kappa: 0.5799, kb_relative_information_score: 396.8885, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7933, predictive_accuracy: 0.7913, prior_entropy: 0.9913, recall: 0.7913, relative_absolute_error: 0.4225, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5107, f_measure: 0.431, kappa: 0.0236, kb_relative_information_score: 75.3188, mean_absolute_error: 0.4377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5866, predictive_accuracy: 0.5623, prior_entropy: 0.9913, recall: 0.5623, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6616, root_relative_squared_error: 1.3312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.8548, kappa: 0.7052, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8608, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.8611, kappa: 0.7194, kb_relative_information_score: 494.5806, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8618, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.2817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5046, f_measure: 0.4127, kappa: 0.0101, kb_relative_information_score: 69.213, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5763, predictive_accuracy: 0.558, prior_entropy: 0.9913, recall: 0.558, relative_absolute_error: 0.8949, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6649, root_relative_squared_error: 1.3378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.4, kappa: -0.0044, kb_relative_information_score: 61.072, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4559, predictive_accuracy: 0.5522, prior_entropy: 0.9913, recall: 0.5522, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6692, root_relative_squared_error: 1.3466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, f_measure: 0.806, kappa: 0.6078, kb_relative_information_score: 417.241, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8065, predictive_accuracy: 0.8058, prior_entropy: 0.9913, recall: 0.8058, relative_absolute_error: 0.3932, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.8597, kappa: 0.7168, kb_relative_information_score: 492.5454, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8608, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8583, kappa: 0.7176, kb_relative_information_score: 490.5101, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.87, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.2875, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.8218, kappa: 0.6381, kb_relative_information_score: 441.6641, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8245, predictive_accuracy: 0.8232, prior_entropy: 0.9913, recall: 0.8232, relative_absolute_error: 0.358, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.8461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5537, f_measure: 0.5124, kappa: 0.1167, kb_relative_information_score: 126.2001, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6579, predictive_accuracy: 0.5986, prior_entropy: 0.9913, recall: 0.5986, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6336, root_relative_squared_error: 1.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.8511, kappa: 0.7032, kb_relative_information_score: 480.3338, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8631, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.4, kappa: -0.0044, kb_relative_information_score: 61.072, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4559, predictive_accuracy: 0.5522, prior_entropy: 0.9913, recall: 0.5522, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6692, root_relative_squared_error: 1.3466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5586, f_measure: 0.5199, kappa: 0.1272, kb_relative_information_score: 132.3058, mean_absolute_error: 0.3971, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6648, predictive_accuracy: 0.6029, prior_entropy: 0.9913, recall: 0.6029, relative_absolute_error: 0.8039, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6302, root_relative_squared_error: 1.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.8497, kappa: 0.6999, kb_relative_information_score: 478.2986, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8597, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.3051, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.8712, kappa: 0.7396, kb_relative_information_score: 444.741, mean_absolute_error: 0.1856, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8716, predictive_accuracy: 0.871, prior_entropy: 0.9913, recall: 0.871, relative_absolute_error: 0.3758, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.6314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8669, kappa: 0.7309, kb_relative_information_score: 440.9852, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8674, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.3838, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.842, kappa: 0.6801, kb_relative_information_score: 441.2696, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.842, predictive_accuracy: 0.842, prior_entropy: 0.9913, recall: 0.842, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.8523, kappa: 0.7013, kb_relative_information_score: 442.9373, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8526, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.3692, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.8653, kappa: 0.7265, kb_relative_information_score: 230.674, mean_absolute_error: 0.3573, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8701, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.7234, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.874, kappa: 0.7453, kb_relative_information_score: 439.9722, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8744, predictive_accuracy: 0.8739, prior_entropy: 0.9913, recall: 0.8739, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.6209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8754, kappa: 0.748, kb_relative_information_score: 440.2405, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8756, predictive_accuracy: 0.8754, prior_entropy: 0.9913, recall: 0.8754, relative_absolute_error: 0.3849, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.6209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.8755, kappa: 0.7482, kb_relative_information_score: 436.4647, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8757, predictive_accuracy: 0.8754, prior_entropy: 0.9913, recall: 0.8754, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8652, kappa: 0.727, kb_relative_information_score: 439.8515, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8652, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3836, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3156, root_relative_squared_error: 0.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.8667, kappa: 0.7304, kb_relative_information_score: 424.768, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8669, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.4112, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.314, root_relative_squared_error: 0.6318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.8726, kappa: 0.7423, kb_relative_information_score: 438.9058, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8728, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.3868, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.6221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 428.0532, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.4061, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.311, root_relative_squared_error: 0.6258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.8726, kappa: 0.7423, kb_relative_information_score: 442.5817, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8728, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.3811, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.8625, kappa: 0.7219, kb_relative_information_score: 428.3823, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8628, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.408, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3058, root_relative_squared_error: 0.6154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8581, kappa: 0.7128, kb_relative_information_score: 447.6727, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8582, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.3658, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8669, kappa: 0.7314, kb_relative_information_score: 421.3928, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8681, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.6272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8524, kappa: 0.7017, kb_relative_information_score: 447.6702, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8529, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.3612, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.6824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8755, kappa: 0.7483, kb_relative_information_score: 427.7643, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8759, predictive_accuracy: 0.8754, prior_entropy: 0.9913, recall: 0.8754, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8683, kappa: 0.7338, kb_relative_information_score: 436.9199, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8687, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.8712, kappa: 0.7398, kb_relative_information_score: 432.5356, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8718, predictive_accuracy: 0.871, prior_entropy: 0.9913, recall: 0.871, relative_absolute_error: 0.3989, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.6216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8625, kappa: 0.7219, kb_relative_information_score: 401.4997, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8628, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4538, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.6288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8672, kappa: 0.7303, kb_relative_information_score: 260.1204, mean_absolute_error: 0.3365, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8699, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.8727, kappa: 0.7428, kb_relative_information_score: 438.8802, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8734, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.3893, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.616,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.

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

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

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