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: 0.5, 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: 0.9324, f_measure: 0.8627, kappa: 0.7231, kb_relative_information_score: 407.5743, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8646, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4422, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.6312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.8683, kappa: 0.7336, kb_relative_information_score: 423.6269, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8686, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.6246,
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: 0.9346, f_measure: 0.8798, kappa: 0.757, kb_relative_information_score: 436.0182, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8801, predictive_accuracy: 0.8797, prior_entropy: 0.9913, recall: 0.8797, relative_absolute_error: 0.3939, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8696, kappa: 0.7363, kb_relative_information_score: 443.0801, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8698, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8636, kappa: 0.7237, kb_relative_information_score: 434.928, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8636, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.6539,
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: 0.9342, f_measure: 0.8654, kappa: 0.7277, kb_relative_information_score: 429.5742, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8657, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3058, root_relative_squared_error: 0.6153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.8225, kappa: 0.6399, kb_relative_information_score: 441.6641, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.823, 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: 0.7907, f_measure: 0.794, kappa: 0.5825, kb_relative_information_score: 400.959, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7939, predictive_accuracy: 0.7942, prior_entropy: 0.9913, recall: 0.7942, relative_absolute_error: 0.4166, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8624, kappa: 0.7217, kb_relative_information_score: 442.4039, mean_absolute_error: 0.1865, 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: 0.3775, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.6421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8755, kappa: 0.7483, kb_relative_information_score: 441.3526, mean_absolute_error: 0.19, 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: 0.3847, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.6161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8726, kappa: 0.7425, kb_relative_information_score: 440.5086, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.873, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.3862, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.6147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.874, kappa: 0.7451, kb_relative_information_score: 439.4321, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8742, 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: 0.3099, root_relative_squared_error: 0.6236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.8517, kappa: 0.6989, kb_relative_information_score: 484.4043, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8588, 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: 0.9187, f_measure: 0.8581, kappa: 0.713, kb_relative_information_score: 440.6905, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8584, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.3763, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.8117, kappa: 0.6188, kb_relative_information_score: 425.3821, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8117, 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: 0.8562, f_measure: 0.8497, kappa: 0.7001, kb_relative_information_score: 478.2986, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8605, 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: 0.7822, f_measure: 0.783, kappa: 0.5619, kb_relative_information_score: 384.677, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7841, 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: 0.7872, f_measure: 0.7961, kappa: 0.5865, kb_relative_information_score: 409.1, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8068, predictive_accuracy: 0.8, prior_entropy: 0.9913, recall: 0.8, relative_absolute_error: 0.4049, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, f_measure: 0.4071, kappa: 0.0058, kb_relative_information_score: 67.1778, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5631, 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: 0.9316, f_measure: 0.8683, kappa: 0.7339, kb_relative_information_score: 436.6187, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.869, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8755, kappa: 0.7482, kb_relative_information_score: 440.046, mean_absolute_error: 0.19, 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: 0.3846, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.8755, kappa: 0.7482, kb_relative_information_score: 439.1618, mean_absolute_error: 0.1908, 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: 0.3863, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6225,
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: 0.5332, f_measure: 0.476, kappa: 0.0726, kb_relative_information_score: 101.7771, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6356, predictive_accuracy: 0.5812, prior_entropy: 0.9913, recall: 0.5812, relative_absolute_error: 0.8479, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6472, root_relative_squared_error: 1.3023,
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: 0.9322, f_measure: 0.8697, kappa: 0.7366, kb_relative_information_score: 434.2632, mean_absolute_error: 0.1955, 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: 0.3957, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.851, kappa: 0.6989, kb_relative_information_score: 447.695, mean_absolute_error: 0.1786, 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: 0.3616, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.6831,
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: 0.498, 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: 0.7315, f_measure: 0.7409, kappa: 0.4799, kb_relative_information_score: 341.9367, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7724, predictive_accuracy: 0.7522, prior_entropy: 0.9913, recall: 0.7522, relative_absolute_error: 0.5017, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0017,
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: 0.9319, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 378.2, mean_absolute_error: 0.2436, 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: 0.4932, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8626, kappa: 0.7224, kb_relative_information_score: 440.0531, mean_absolute_error: 0.1911, 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: 0.3868, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.6194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.874, kappa: 0.7451, kb_relative_information_score: 425.6561, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8742, predictive_accuracy: 0.8739, prior_entropy: 0.9913, recall: 0.8739, relative_absolute_error: 0.4099, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.8348, kappa: 0.6655, kb_relative_information_score: 438.7573, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8348, predictive_accuracy: 0.8348, prior_entropy: 0.9913, recall: 0.8348, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.7167,
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: 0.9354, f_measure: 0.8712, kappa: 0.7396, kb_relative_information_score: 441.4022, mean_absolute_error: 0.1901, 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: 0.3849, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3051, root_relative_squared_error: 0.614,
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: 0.7887, f_measure: 0.7889, kappa: 0.5741, kb_relative_information_score: 392.818, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7904, predictive_accuracy: 0.7884, prior_entropy: 0.9913, recall: 0.7884, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9256,
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: 0.8126, f_measure: 0.8188, kappa: 0.6321, kb_relative_information_score: 437.5936, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8215, predictive_accuracy: 0.8203, prior_entropy: 0.9913, recall: 0.8203, relative_absolute_error: 0.3638, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.8244, kappa: 0.6439, kb_relative_information_score: 443.6993, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8243, predictive_accuracy: 0.8246, prior_entropy: 0.9913, recall: 0.8246, relative_absolute_error: 0.355, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8696, kappa: 0.7361, kb_relative_information_score: 430.9562, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8697, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.4006, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.629,
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: 0.8555, f_measure: 0.8497, kappa: 0.6997, kb_relative_information_score: 478.2986, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.859, 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: 0.9356, f_measure: 0.8755, kappa: 0.7485, kb_relative_information_score: 441.4405, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8761, predictive_accuracy: 0.8754, prior_entropy: 0.9913, recall: 0.8754, relative_absolute_error: 0.3845, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.6154,
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: 0.8102, f_measure: 0.8118, kappa: 0.6193, kb_relative_information_score: 425.3821, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8121, 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: 0.8653, 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: 0.9332, f_measure: 0.864, kappa: 0.7253, kb_relative_information_score: 431.6558, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8647, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.402, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.308, root_relative_squared_error: 0.6198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.8697, kappa: 0.7366, kb_relative_information_score: 419.1883, mean_absolute_error: 0.2085, 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: 0.422, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.8711, kappa: 0.7395, kb_relative_information_score: 434.2523, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8715, predictive_accuracy: 0.871, prior_entropy: 0.9913, recall: 0.871, relative_absolute_error: 0.3953, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.8755, kappa: 0.7485, kb_relative_information_score: 440.1986, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8761, predictive_accuracy: 0.8754, prior_entropy: 0.9913, recall: 0.8754, relative_absolute_error: 0.3871, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.6148,
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: 0.8653, 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: 0.9316, f_measure: 0.8598, kappa: 0.7177, kb_relative_information_score: 391.8959, mean_absolute_error: 0.2315, 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: 0.4686, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.6397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.8257, kappa: 0.6475, kb_relative_information_score: 451.8403, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8461, predictive_accuracy: 0.8304, prior_entropy: 0.9913, recall: 0.8304, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.8769, kappa: 0.7512, kb_relative_information_score: 437.7606, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8772, predictive_accuracy: 0.8768, prior_entropy: 0.9913, recall: 0.8768, relative_absolute_error: 0.3904, 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: 0.8475, 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: 0.9224, f_measure: 0.8683, kappa: 0.7339, kb_relative_information_score: 444.1667, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.869, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.321, root_relative_squared_error: 0.646,
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: 0.9313, f_measure: 0.8653, kappa: 0.7274, kb_relative_information_score: 437.121, mean_absolute_error: 0.1927, 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: 0.3901, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3112, root_relative_squared_error: 0.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.864, kappa: 0.7251, kb_relative_information_score: 444.0633, mean_absolute_error: 0.1857, 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: 0.376, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.6327,
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: 0.9188, f_measure: 0.8696, kappa: 0.7363, kb_relative_information_score: 441.5825, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8698, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.3771, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.8539, kappa: 0.7051, kb_relative_information_score: 484.4043, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.855, 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: 0.8649, 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: 0.9254, f_measure: 0.8666, kappa: 0.7299, kb_relative_information_score: 439.2959, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8666, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6386,
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: 0.5, 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: 0.9279, f_measure: 0.8653, kappa: 0.7276, kb_relative_information_score: 439.4497, mean_absolute_error: 0.19, 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: 0.3847, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.6322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8711, kappa: 0.7393, kb_relative_information_score: 446.5445, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8713, predictive_accuracy: 0.871, prior_entropy: 0.9913, recall: 0.871, relative_absolute_error: 0.3723, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8682, kappa: 0.7334, kb_relative_information_score: 434.4473, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8684, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.3946, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.864, kappa: 0.7251, kb_relative_information_score: 443.0824, mean_absolute_error: 0.1875, 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: 0.3795, 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: 0.9362, f_measure: 0.8741, kappa: 0.7458, kb_relative_information_score: 439.5378, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.875, predictive_accuracy: 0.8739, prior_entropy: 0.9913, recall: 0.8739, relative_absolute_error: 0.3883, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.304, root_relative_squared_error: 0.6118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.8483, kappa: 0.6959, kb_relative_information_score: 476.2633, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8547, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.8524, kappa: 0.7019, kb_relative_information_score: 482.3691, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8532, 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: 0.9184, f_measure: 0.8696, kappa: 0.7361, kb_relative_information_score: 441.5056, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8697, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.3764, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.8583, kappa: 0.7179, kb_relative_information_score: 490.5101, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8716, 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: 0.8556, f_measure: 0.8579, kappa: 0.7121, kb_relative_information_score: 490.5101, mean_absolute_error: 0.142, 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: 0.2875, 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: 0.6772, f_measure: 0.6753, kappa: 0.3777, kb_relative_information_score: 284.9497, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7961, predictive_accuracy: 0.7116, prior_entropy: 0.9913, recall: 0.7116, relative_absolute_error: 0.5839, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.537, root_relative_squared_error: 1.0806,
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: 0.9338, f_measure: 0.8727, kappa: 0.743, kb_relative_information_score: 415.522, mean_absolute_error: 0.212, 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: 0.4292, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8696, kappa: 0.7359, kb_relative_information_score: 438.846, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8696, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.3845, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.6422,
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: 0.5586, 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: 0.8604, f_measure: 0.857, kappa: 0.7128, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8618, 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: 0.8517, f_measure: 0.856, kappa: 0.7077, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8567, 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: 0.9308, f_measure: 0.8595, kappa: 0.7157, kb_relative_information_score: 361.6698, mean_absolute_error: 0.2578, 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: 0.5218, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.6503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.864, kappa: 0.7253, kb_relative_information_score: 441.8372, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8647, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.6491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.8784, kappa: 0.754, kb_relative_information_score: 437.4984, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8786, predictive_accuracy: 0.8783, prior_entropy: 0.9913, recall: 0.8783, relative_absolute_error: 0.3907, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7945, kappa: 0.5834, kb_relative_information_score: 407.0648, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8056, predictive_accuracy: 0.7986, prior_entropy: 0.9913, recall: 0.7986, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.8526, kappa: 0.7055, kb_relative_information_score: 482.3691, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8619, 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: 0.5557, f_measure: 0.4997, kappa: 0.1221, kb_relative_information_score: 134.3411, mean_absolute_error: 0.3957, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7568, predictive_accuracy: 0.6043, prior_entropy: 0.9913, recall: 0.6043, relative_absolute_error: 0.801, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.629, root_relative_squared_error: 1.2657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.8711, kappa: 0.7393, kb_relative_information_score: 431.3331, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8713, predictive_accuracy: 0.871, prior_entropy: 0.9913, recall: 0.871, relative_absolute_error: 0.4007, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.8497, kappa: 0.6989, kb_relative_information_score: 478.2986, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8565, 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,

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