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: 0.8526, f_measure: 0.8537, kappa: 0.7041, kb_relative_information_score: 484.4043, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8539, 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, usercpu_time_millis: 0.15, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, f_measure: 0.8117, kappa: 0.6191, kb_relative_information_score: 425.3821, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8119, predictive_accuracy: 0.8116, prior_entropy: 0.9913, recall: 0.8116, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.8596, kappa: 0.716, kb_relative_information_score: 443.0199, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8599, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.3724, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.8174, kappa: 0.6303, kb_relative_information_score: 433.5231, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8174, predictive_accuracy: 0.8174, prior_entropy: 0.9913, recall: 0.8174, relative_absolute_error: 0.3697, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.8599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8727, kappa: 0.743, kb_relative_information_score: 443.1952, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8737, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.809, kappa: 0.6142, kb_relative_information_score: 421.3115, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8098, predictive_accuracy: 0.8087, prior_entropy: 0.9913, recall: 0.8087, relative_absolute_error: 0.3873, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.8801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.8162, kappa: 0.6284, kb_relative_information_score: 431.4878, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8167, predictive_accuracy: 0.8159, prior_entropy: 0.9913, recall: 0.8159, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8626, kappa: 0.7226, kb_relative_information_score: 427.613, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8637, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4064, 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: 0.9281, f_measure: 0.8611, kappa: 0.7192, kb_relative_information_score: 430.3116, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8616, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.3986, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.8176, kappa: 0.631, kb_relative_information_score: 433.5231, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8178, predictive_accuracy: 0.8174, prior_entropy: 0.9913, recall: 0.8174, relative_absolute_error: 0.3697, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.8599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.819, kappa: 0.6341, kb_relative_information_score: 435.5583, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8194, 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: 0.9342, f_measure: 0.8684, kappa: 0.7343, kb_relative_information_score: 444.8352, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8694, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.8149, kappa: 0.6268, kb_relative_information_score: 429.4526, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8167, predictive_accuracy: 0.8145, prior_entropy: 0.9913, recall: 0.8145, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.8073, kappa: 0.6101, kb_relative_information_score: 419.2763, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8075, predictive_accuracy: 0.8072, prior_entropy: 0.9913, recall: 0.8072, relative_absolute_error: 0.3902, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.816, kappa: 0.6277, kb_relative_information_score: 431.4878, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8161, predictive_accuracy: 0.8159, prior_entropy: 0.9913, recall: 0.8159, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, f_measure: 0.8117, kappa: 0.6191, kb_relative_information_score: 425.3821, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8119, predictive_accuracy: 0.8116, prior_entropy: 0.9913, recall: 0.8116, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8669, kappa: 0.7309, kb_relative_information_score: 433.4131, mean_absolute_error: 0.1957, 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: 0.3961, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.6254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.8104, kappa: 0.6167, kb_relative_information_score: 423.3468, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8109, predictive_accuracy: 0.8101, prior_entropy: 0.9913, recall: 0.8101, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.864, kappa: 0.7254, kb_relative_information_score: 383.7861, mean_absolute_error: 0.2386, 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: 0.4831, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.6416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.8553, kappa: 0.7123, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8695, 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: 0.8659, f_measure: 0.8598, kappa: 0.72, kb_relative_information_score: 492.5454, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8696, 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: 0.6247, f_measure: 0.6064, kappa: 0.2691, kb_relative_information_score: 219.8216, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7756, predictive_accuracy: 0.6652, prior_entropy: 0.9913, recall: 0.6652, relative_absolute_error: 0.6778, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5786, root_relative_squared_error: 1.1643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5153, f_measure: 0.4453, kappa: 0.0336, kb_relative_information_score: 79.3893, mean_absolute_error: 0.4348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5852, predictive_accuracy: 0.5652, prior_entropy: 0.9913, recall: 0.5652, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6594, root_relative_squared_error: 1.3268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.8064, kappa: 0.6068, kb_relative_information_score: 421.3115, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8115, predictive_accuracy: 0.8087, prior_entropy: 0.9913, recall: 0.8087, relative_absolute_error: 0.3873, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.8801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7234, f_measure: 0.7324, kappa: 0.4638, kb_relative_information_score: 331.7605, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7666, predictive_accuracy: 0.7449, prior_entropy: 0.9913, recall: 0.7449, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.8597, kappa: 0.7152, kb_relative_information_score: 494.5806, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.863, 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: 0.6133, f_measure: 0.5904, kappa: 0.2451, kb_relative_information_score: 205.5749, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7701, predictive_accuracy: 0.6551, prior_entropy: 0.9913, recall: 0.6551, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5873, root_relative_squared_error: 1.1818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.8584, kappa: 0.7168, kb_relative_information_score: 490.5101, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8671, 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: 0.512, 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: 0.5, 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: 0.8161, f_measure: 0.8187, kappa: 0.6329, kb_relative_information_score: 435.5583, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8187, 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: 0.8331, f_measure: 0.8336, kappa: 0.6638, kb_relative_information_score: 455.9108, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8343, predictive_accuracy: 0.8333, prior_entropy: 0.9913, recall: 0.8333, relative_absolute_error: 0.3374, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8215,
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: 0.8649, f_measure: 0.8568, kappa: 0.7153, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8714, 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: 0.8327, f_measure: 0.8335, kappa: 0.6636, kb_relative_information_score: 455.9108, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.834, predictive_accuracy: 0.8333, prior_entropy: 0.9913, recall: 0.8333, relative_absolute_error: 0.3374, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5202, f_measure: 0.4538, kappa: 0.0442, kb_relative_information_score: 85.495, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6018, predictive_accuracy: 0.5696, prior_entropy: 0.9913, recall: 0.5696, relative_absolute_error: 0.8714, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6561, root_relative_squared_error: 1.3202,
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: 0.5, 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: 0.5026, f_measure: 0.4159, kappa: 0.0057, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5313, 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: 0.8168, f_measure: 0.8211, kappa: 0.6371, 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: 0.5019, f_measure: 0.4112, kappa: 0.0043, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5311, 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: 0.5248, f_measure: 0.4455, kappa: 0.0546, kb_relative_information_score: 95.6713, mean_absolute_error: 0.4232, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7338, predictive_accuracy: 0.5768, prior_entropy: 0.9913, recall: 0.5768, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6505, root_relative_squared_error: 1.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.8568, kappa: 0.7153, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8714, 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: 0.5042, f_measure: 0.4189, kappa: 0.0093, kb_relative_information_score: 67.1778, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5448, predictive_accuracy: 0.5565, prior_entropy: 0.9913, recall: 0.5565, relative_absolute_error: 0.8978, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6659, root_relative_squared_error: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8598, kappa: 0.7202, kb_relative_information_score: 492.5454, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8703, 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: 0.8646, 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: 0.5, 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: 0.5, 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: 0.8649, f_measure: 0.8568, kappa: 0.7153, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8714, 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: 0.5019, f_measure: 0.4112, kappa: 0.0043, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5311, 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: 0.5006, 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: 0.7898, f_measure: 0.7982, kappa: 0.5905, kb_relative_information_score: 411.1353, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8064, predictive_accuracy: 0.8014, prior_entropy: 0.9913, recall: 0.8014, relative_absolute_error: 0.402, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.8966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.8033, kappa: 0.6006, kb_relative_information_score: 417.241, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8089, 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: 0.8103, f_measure: 0.8171, kappa: 0.6285, kb_relative_information_score: 435.5583, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8208, 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: 0.5231, f_measure: 0.4425, kappa: 0.0511, kb_relative_information_score: 93.6361, mean_absolute_error: 0.4246, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7317, predictive_accuracy: 0.5754, prior_entropy: 0.9913, recall: 0.5754, relative_absolute_error: 0.8597, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6516, root_relative_squared_error: 1.3113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.8364, kappa: 0.6694, kb_relative_information_score: 459.9813, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8369, 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: 0.8129, f_measure: 0.8169, kappa: 0.6286, kb_relative_information_score: 433.5231, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8171, predictive_accuracy: 0.8174, prior_entropy: 0.9913, recall: 0.8174, relative_absolute_error: 0.3697, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.8599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.8568, kappa: 0.7153, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8714, 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: 0.4993, 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: 0.5, 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: 0.8259, f_measure: 0.8264, kappa: 0.6493, kb_relative_information_score: 445.7346, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8272, 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: 0.8614, f_measure: 0.8624, kappa: 0.7217, kb_relative_information_score: 496.6159, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8626, 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: 0.8064, f_measure: 0.8098, kappa: 0.6145, kb_relative_information_score: 423.3468, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8098, predictive_accuracy: 0.8101, prior_entropy: 0.9913, recall: 0.8101, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.8264, kappa: 0.6493, kb_relative_information_score: 445.7346, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8272, 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: 0.8194, f_measure: 0.8229, kappa: 0.6409, kb_relative_information_score: 441.6641, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8229, 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: 0.5006, 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: 0.6504, f_measure: 0.6505, kappa: 0.3179, kb_relative_information_score: 242.2094, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7197, predictive_accuracy: 0.6812, prior_entropy: 0.9913, recall: 0.6812, relative_absolute_error: 0.6455, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5647, root_relative_squared_error: 1.1362,
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: 0.5006, 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: 0.5, 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: 0.5117, f_measure: 0.4374, kappa: 0.0257, kb_relative_information_score: 75.3188, mean_absolute_error: 0.4377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5751, 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: 0.8259, f_measure: 0.8264, kappa: 0.6493, kb_relative_information_score: 445.7346, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8272, 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: 0.5013, f_measure: 0.4064, kappa: 0.0029, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5309, 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: 0.8595, f_measure: 0.8596, kappa: 0.7164, kb_relative_information_score: 492.5454, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8603, 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: 0.5, 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: 0.8663, f_measure: 0.8598, kappa: 0.7202, kb_relative_information_score: 492.5454, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8703, 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: 0.8624, f_measure: 0.8625, kappa: 0.7222, kb_relative_information_score: 496.6159, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8632, 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: 0.5, 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: 0.7217, f_measure: 0.7307, kappa: 0.4606, kb_relative_information_score: 329.7252, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7654, 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: 0.8585, f_measure: 0.8582, kappa: 0.7137, kb_relative_information_score: 490.5101, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8592, 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: 0.8129, f_measure: 0.8146, kappa: 0.6249, kb_relative_information_score: 429.4526, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8148, predictive_accuracy: 0.8145, prior_entropy: 0.9913, recall: 0.8145, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.7129, kappa: 0.4278, kb_relative_information_score: 309.3727, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.755, predictive_accuracy: 0.729, prior_entropy: 0.9913, recall: 0.729, relative_absolute_error: 0.5487, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.0476,
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: 0.8633, f_measure: 0.8553, kappa: 0.7123, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8695, 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: 0.498, 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: 0.6273, f_measure: 0.622, kappa: 0.2705, kb_relative_information_score: 213.7159, mean_absolute_error: 0.3391, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7031, 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: 0.5006, 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: 0.8015, f_measure: 0.8042, kappa: 0.6035, kb_relative_information_score: 415.2058, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8042, 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: 0.5107, 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 - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
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: 0.5153, f_measure: 0.4453, kappa: 0.0336, kb_relative_information_score: 79.3893, mean_absolute_error: 0.4348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5852, predictive_accuracy: 0.5652, prior_entropy: 0.9913, recall: 0.5652, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6594, root_relative_squared_error: 1.3268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5967, f_measure: 0.5802, kappa: 0.2073, kb_relative_information_score: 177.0814, mean_absolute_error: 0.3652, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6851, predictive_accuracy: 0.6348, prior_entropy: 0.9913, recall: 0.6348, relative_absolute_error: 0.7394, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6043, root_relative_squared_error: 1.2161,

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