OpenML
Supervised Classification on Australian

Supervised Classification on Australian

Task 125923 Supervised Classification Australian 208614 runs submitted
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  • OpenML100 study_107 study_123 study_14
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208614 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -12.412, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0118, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.8578, kappa: 0.7117, kb_relative_information_score: 434.1273, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8578, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8552, kappa: 0.707, kb_relative_information_score: 361.805, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8553, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.5204, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 298.1911, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.6222, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.8612, kappa: 0.7201, kb_relative_information_score: 368.515, mean_absolute_error: 0.252, 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: 0.5101, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3278, root_relative_squared_error: 0.6597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 4.5112, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -89.5366, mean_absolute_error: 0.5551, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.1237, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.745, root_relative_squared_error: 1.4992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -89.5366, mean_absolute_error: 0.5551, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.1237, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.745, root_relative_squared_error: 1.4992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 126.3765, mean_absolute_error: 0.4262, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.8629, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.432, root_relative_squared_error: 0.8694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.928, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.8435, kappa: 0.6831, kb_relative_information_score: 420.401, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8435, predictive_accuracy: 0.8435, prior_entropy: 0.9913, recall: 0.8435, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 326.2365, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.5728, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7153,
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: 0.4938, kb_relative_information_score: -3.8959, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.8264, kappa: 0.6497, kb_relative_information_score: 326.2493, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8277, predictive_accuracy: 0.8261, prior_entropy: 0.9913, recall: 0.8261, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -16.1367, mean_absolute_error: 0.5017, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.0156, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.8642, kappa: 0.727, kb_relative_information_score: 382.4953, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8683, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.4849, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3278, root_relative_squared_error: 0.6596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5493, f_measure: 0.5417, kappa: 0.0962, kb_relative_information_score: 46.8253, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5562, predictive_accuracy: 0.542, prior_entropy: 0.9913, recall: 0.542, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6767, root_relative_squared_error: 1.3618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8425, kappa: 0.6834, kb_relative_information_score: 397.6718, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8464, predictive_accuracy: 0.842, prior_entropy: 0.9913, recall: 0.842, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.6872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8654, kappa: 0.7279, kb_relative_information_score: 377.6088, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8659, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.8211, kappa: 0.6369, kb_relative_information_score: 390.6926, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8216, predictive_accuracy: 0.8217, prior_entropy: 0.9913, recall: 0.8217, relative_absolute_error: 0.4493, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.3801, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 310.12, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.7029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.8626, kappa: 0.7228, kb_relative_information_score: 398.644, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.864, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.6466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.1859, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.7618, kappa: 0.5165, kb_relative_information_score: 25.7989, mean_absolute_error: 0.4815, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7675, predictive_accuracy: 0.7652, prior_entropy: 0.9913, recall: 0.7652, relative_absolute_error: 0.9749, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.9705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 10.8016, mean_absolute_error: 0.4877, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9873, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -6.2116, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0057, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 45.2003, mean_absolute_error: 0.4631, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5704, root_relative_squared_error: 1.1478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -2.3156, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -89.5366, mean_absolute_error: 0.5551, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.1237, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.745, root_relative_squared_error: 1.4992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.84, kappa: 0.6754, kb_relative_information_score: 413.8662, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8406, predictive_accuracy: 0.8406, prior_entropy: 0.9913, recall: 0.8406, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -2.2729, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -13.9044, mean_absolute_error: 0.5005, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.0133, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.5635, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
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: 0.8769, f_measure: 0.8555, kappa: 0.7111, kb_relative_information_score: 317.257, mean_absolute_error: 0.2897, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8642, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.5865, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.7175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.4968, kappa: -0.0127, kb_relative_information_score: 10.1907, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4991, predictive_accuracy: 0.5159, prior_entropy: 0.9913, recall: 0.5159, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6957, root_relative_squared_error: 1.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.851, kappa: 0.6989, kb_relative_information_score: 330.5534, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8516, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.568, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.6954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 4.3978, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -0.2815, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 189.3857, mean_absolute_error: 0.3852, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.8065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0729, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -23.4447, mean_absolute_error: 0.5055, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.0234, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.508, root_relative_squared_error: 1.0222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 0.907, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8641, kappa: 0.726, kb_relative_information_score: 377.7559, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8659, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.4944, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.324, root_relative_squared_error: 0.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 128.6906, mean_absolute_error: 0.4242, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.8587, 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: 0.5, kb_relative_information_score: 15.7149, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5041, root_relative_squared_error: 1.0144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 7.126, mean_absolute_error: 0.4899, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.7973, kappa: 0.5886, kb_relative_information_score: 362.4825, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7986, predictive_accuracy: 0.7986, prior_entropy: 0.9913, recall: 0.7986, relative_absolute_error: 0.4874, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.393, root_relative_squared_error: 0.7909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8569, kappa: 0.7122, kb_relative_information_score: 404.965, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8604, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.4475, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.6417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 372.3211, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.6964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -28.4054, mean_absolute_error: 0.5083, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.0291, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.0339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 307.2118, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.6105, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.7036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 10.3336, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9879, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.6505, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8372, kappa: 0.6697, kb_relative_information_score: 416.5932, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8376, predictive_accuracy: 0.8377, prior_entropy: 0.9913, recall: 0.8377, relative_absolute_error: 0.4123, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5062, kb_relative_information_score: -43.0293, mean_absolute_error: 0.5173, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.0472, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5402, root_relative_squared_error: 1.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.3095, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.2909, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 0.852, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8584, kappa: 0.7161, kb_relative_information_score: 389.346, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8646, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.4724, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3278, root_relative_squared_error: 0.6597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -32.1974, mean_absolute_error: 0.5105, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.0335, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5193, root_relative_squared_error: 1.0449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8365, kappa: 0.6682, kb_relative_information_score: 159.1613, mean_absolute_error: 0.4037, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.846, predictive_accuracy: 0.8391, prior_entropy: 0.9913, recall: 0.8391, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -0.7461, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6136, f_measure: 0.5346, kappa: 0.1384, kb_relative_information_score: 49.6242, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.649, predictive_accuracy: 0.6058, prior_entropy: 0.9913, recall: 0.6058, relative_absolute_error: 0.9391, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.482, root_relative_squared_error: 0.9699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -4.1176, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -2.7459, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.3397, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -2.412, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8653, kappa: 0.7276, kb_relative_information_score: 408.6524, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8655, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4405, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.6336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 28.0564, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5221, root_relative_squared_error: 1.0506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 8.6395, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -14.444, mean_absolute_error: 0.5008, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.0139, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8466, kappa: 0.6886, kb_relative_information_score: 311.5291, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8495, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.349, root_relative_squared_error: 0.7022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 123.3065, mean_absolute_error: 0.425, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.8604, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.8751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -0.8092, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8651, kappa: 0.7267, kb_relative_information_score: 390.7124, mean_absolute_error: 0.2329, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8651, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4715, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.6414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7827, f_measure: 0.7128, kappa: 0.4202, kb_relative_information_score: 154.1553, mean_absolute_error: 0.3993, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7294, predictive_accuracy: 0.7217, prior_entropy: 0.9913, recall: 0.7217, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 3.0575, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 225.2748, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.7289, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.7758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 404.1776, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.331, root_relative_squared_error: 0.6661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8598, kappa: 0.7177, kb_relative_information_score: 410.6149, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8624, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.4337, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.6717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5604, f_measure: 0.6329, kappa: 0.2609, kb_relative_information_score: 163.9222, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6357, predictive_accuracy: 0.6319, prior_entropy: 0.9913, recall: 0.6319, relative_absolute_error: 0.7618, 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: 0.8887, f_measure: 0.8295, kappa: 0.6569, kb_relative_information_score: 384.1002, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8327, predictive_accuracy: 0.829, prior_entropy: 0.9913, recall: 0.829, relative_absolute_error: 0.471, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.8684, kappa: 0.7345, kb_relative_information_score: 377.8236, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8697, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.4934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.6561, kappa: 0.3017, kb_relative_information_score: 86.3022, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6571, predictive_accuracy: 0.6594, prior_entropy: 0.9913, recall: 0.6594, relative_absolute_error: 0.8957, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 395.0586, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4624, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.6811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7795, f_measure: 0.7601, kappa: 0.5176, kb_relative_information_score: 337.0401, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7637, predictive_accuracy: 0.7594, prior_entropy: 0.9913, recall: 0.7594, relative_absolute_error: 0.5138, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.4181, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -6.7682, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8597, kappa: 0.7171, kb_relative_information_score: 413.5968, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8614, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.6413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6041, f_measure: 0.6041, kappa: 0.2048, kb_relative_information_score: 132.3058, mean_absolute_error: 0.3971, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6082, 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: 0.5, kb_relative_information_score: -12.2562, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0116, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.957, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 14.4147, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 22.632, mean_absolute_error: 0.4801, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9719, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5126, root_relative_squared_error: 1.0316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.821, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 8.732, mean_absolute_error: 0.4889, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.6551, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0004,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs