OpenML
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: 0.5185, f_measure: 0.451, kappa: 0.0407, kb_relative_information_score: 83.4598, mean_absolute_error: 0.4319, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5966, predictive_accuracy: 0.5681, prior_entropy: 0.9913, recall: 0.5681, relative_absolute_error: 0.8743, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6572, root_relative_squared_error: 1.3224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.8538, kappa: 0.7047, kb_relative_information_score: 484.4043, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8545, 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: 0.8523, 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: 0.8653, 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: 0.9315, f_measure: 0.8653, kappa: 0.7276, kb_relative_information_score: 411.1723, mean_absolute_error: 0.2159, 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: 0.4371, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.62, kappa: 0.2671, kb_relative_information_score: 211.6806, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7017, predictive_accuracy: 0.6594, prior_entropy: 0.9913, recall: 0.6594, relative_absolute_error: 0.6895, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5836, root_relative_squared_error: 1.1743,
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: 0.9322, f_measure: 0.8697, kappa: 0.7368, kb_relative_information_score: 435.7125, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8703, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.309, root_relative_squared_error: 0.6219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.583, f_measure: 0.5562, kappa: 0.1793, kb_relative_information_score: 162.8346, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6931, predictive_accuracy: 0.6246, prior_entropy: 0.9913, recall: 0.6246, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6127, root_relative_squared_error: 1.2328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8667, kappa: 0.7301, kb_relative_information_score: 443.4028, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8667, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.3748, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.8553, kappa: 0.7077, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8561, 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: 0.8582, f_measure: 0.8569, kappa: 0.7115, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8588, 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: 0.931, f_measure: 0.8654, kappa: 0.7277, kb_relative_information_score: 408.076, mean_absolute_error: 0.218, 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: 0.4414, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.8293, kappa: 0.6553, kb_relative_information_score: 449.8051, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8303, predictive_accuracy: 0.829, prior_entropy: 0.9913, recall: 0.829, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.851, kappa: 0.6989, kb_relative_information_score: 443.0401, mean_absolute_error: 0.1835, 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: 0.3716, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.6583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8655, kappa: 0.7288, kb_relative_information_score: 412.2872, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8671, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4335, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.6317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.8, kappa: 0.5941, kb_relative_information_score: 413.1705, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8068, predictive_accuracy: 0.8029, prior_entropy: 0.9913, recall: 0.8029, relative_absolute_error: 0.399, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.444, root_relative_squared_error: 0.8934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.8421, kappa: 0.6803, kb_relative_information_score: 468.1223, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8421, predictive_accuracy: 0.842, prior_entropy: 0.9913, recall: 0.842, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.7998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.8612, kappa: 0.7201, 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: 0.9307, f_measure: 0.8754, kappa: 0.7478, kb_relative_information_score: 431.4779, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8755, predictive_accuracy: 0.8754, prior_entropy: 0.9913, recall: 0.8754, relative_absolute_error: 0.4002, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.6276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.8538, kappa: 0.7043, kb_relative_information_score: 444.3631, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8541, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.3688, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.6659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.874, kappa: 0.7453, kb_relative_information_score: 423.3347, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8744, predictive_accuracy: 0.8739, prior_entropy: 0.9913, recall: 0.8739, relative_absolute_error: 0.4146, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.6271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.3956, kappa: -0.0029, kb_relative_information_score: 63.1073, mean_absolute_error: 0.4464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3077, 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: 0.7923, f_measure: 0.7955, kappa: 0.5856, kb_relative_information_score: 402.9943, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7954, predictive_accuracy: 0.7957, prior_entropy: 0.9913, recall: 0.7957, relative_absolute_error: 0.4137, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9096,
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: 0.9299, f_measure: 0.8696, kappa: 0.7361, kb_relative_information_score: 440.8032, mean_absolute_error: 0.1893, 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: 0.3833, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.8248, kappa: 0.6455, kb_relative_information_score: 443.6993, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.825, 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: 0.8213, f_measure: 0.8232, kappa: 0.6423, kb_relative_information_score: 441.6641, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8233, 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: 0.934, f_measure: 0.8697, kappa: 0.7366, kb_relative_information_score: 444.1537, mean_absolute_error: 0.1873, 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: 0.3792, 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: 0.9337, f_measure: 0.8726, kappa: 0.7425, kb_relative_information_score: 443.3881, mean_absolute_error: 0.1874, 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: 0.3794, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, 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: 0.9222, f_measure: 0.8625, kappa: 0.7222, kb_relative_information_score: 441.6592, mean_absolute_error: 0.1865, 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: 0.3776, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.6496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8573, kappa: 0.7104, kb_relative_information_score: 196.8634, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.866, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.7697, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.7958,
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: 0.8243, f_measure: 0.8249, kappa: 0.6462, kb_relative_information_score: 443.6993, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8256, 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: 0.9177, f_measure: 0.8611, kappa: 0.7192, kb_relative_information_score: 444.2277, mean_absolute_error: 0.1832, 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: 0.371, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.329, root_relative_squared_error: 0.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.864, kappa: 0.7254, kb_relative_information_score: 418.5113, mean_absolute_error: 0.2092, 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: 0.4235, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.311, root_relative_squared_error: 0.6257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.8299, kappa: 0.655, kb_relative_information_score: 451.8403, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8302, 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: 0.7917, f_measure: 0.7964, kappa: 0.5868, kb_relative_information_score: 405.0295, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7967, predictive_accuracy: 0.7971, prior_entropy: 0.9913, recall: 0.7971, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.8652, kappa: 0.727, kb_relative_information_score: 434.3783, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8652, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3935, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.6326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.8481, kappa: 0.6932, kb_relative_information_score: 440.8828, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.849, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.3719, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.342, root_relative_squared_error: 0.6882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8624, kappa: 0.7217, kb_relative_information_score: 419.9843, mean_absolute_error: 0.2083, 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: 0.4217, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.6234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.8577, kappa: 0.7115, 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: 0.8262, f_measure: 0.8277, kappa: 0.6514, kb_relative_information_score: 447.7698, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8279, predictive_accuracy: 0.8275, prior_entropy: 0.9913, recall: 0.8275, relative_absolute_error: 0.3492, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.8396, kappa: 0.6743, kb_relative_information_score: 466.0871, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8414, predictive_accuracy: 0.8406, prior_entropy: 0.9913, recall: 0.8406, relative_absolute_error: 0.3227, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.864, kappa: 0.7254, kb_relative_information_score: 408.8625, mean_absolute_error: 0.2176, 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: 0.4404, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.312, root_relative_squared_error: 0.6279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.8638, kappa: 0.7242, kb_relative_information_score: 341.6837, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8638, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.5545, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.6655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8612, kappa: 0.7203, kb_relative_information_score: 399.7089, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8633, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.4554, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.8584, kappa: 0.715, kb_relative_information_score: 490.5101, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8616, 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: 0.5387, f_measure: 0.4875, kappa: 0.0845, kb_relative_information_score: 107.8828, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6373, predictive_accuracy: 0.5855, prior_entropy: 0.9913, recall: 0.5855, relative_absolute_error: 0.8391, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6438, root_relative_squared_error: 1.2955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8595, kappa: 0.7158, kb_relative_information_score: 447.3798, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8597, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.3678, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.6465,
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: 0.8145, f_measure: 0.8195, kappa: 0.6336, kb_relative_information_score: 437.5936, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8203, 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: 0.8627, f_measure: 0.8612, kappa: 0.7203, kb_relative_information_score: 494.5806, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8633, 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: 0.8689, f_measure: 0.8627, kappa: 0.7258, kb_relative_information_score: 496.6159, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8725, 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: 0.8265, f_measure: 0.8277, kappa: 0.6516, kb_relative_information_score: 447.7698, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8281, predictive_accuracy: 0.8275, prior_entropy: 0.9913, recall: 0.8275, relative_absolute_error: 0.3492, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.8582, kappa: 0.7181, kb_relative_information_score: 490.5101, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8724, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.2875, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8709, kappa: 0.7386, kb_relative_information_score: 438.4885, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8709, predictive_accuracy: 0.871, prior_entropy: 0.9913, recall: 0.871, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.6391,
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: 0.5006, 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: 0.9304, f_measure: 0.8741, kappa: 0.7455, kb_relative_information_score: 444.6734, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8745, predictive_accuracy: 0.8739, prior_entropy: 0.9913, recall: 0.8739, relative_absolute_error: 0.3788, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.6205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.7972, kappa: 0.5895, kb_relative_information_score: 405.0295, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7972, predictive_accuracy: 0.7971, prior_entropy: 0.9913, recall: 0.7971, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.861, kappa: 0.7177, kb_relative_information_score: 496.6159, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8654, 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: 0.498, 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: 0.9272, f_measure: 0.8697, kappa: 0.7364, kb_relative_information_score: 445.0427, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8699, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.3744, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.6382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8641, kappa: 0.7258, kb_relative_information_score: 419.3049, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8655, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.4209, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8639, kappa: 0.7249, kb_relative_information_score: 392.6146, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8643, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.4688, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.6348,
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: 0.9319, f_measure: 0.8683, kappa: 0.7336, kb_relative_information_score: 434.8372, mean_absolute_error: 0.1942, 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: 0.3932, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.8351, kappa: 0.6653, kb_relative_information_score: 462.0166, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8442, predictive_accuracy: 0.8377, prior_entropy: 0.9913, recall: 0.8377, relative_absolute_error: 0.3286, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8507, kappa: 0.6973, kb_relative_information_score: 145.4204, mean_absolute_error: 0.4134, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8641, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.8369, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.8494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.7995, kappa: 0.5935, kb_relative_information_score: 409.1, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7996, 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: 0.9092, f_measure: 0.8567, kappa: 0.7102, kb_relative_information_score: 438.7643, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.857, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.3764, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.343, root_relative_squared_error: 0.6901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.8755, kappa: 0.7485, kb_relative_information_score: 439.5418, mean_absolute_error: 0.1914, 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: 0.3875, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.8541, kappa: 0.7073, kb_relative_information_score: 484.4043, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.86, 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: 0.7956, f_measure: 0.7995, kappa: 0.5935, kb_relative_information_score: 409.1, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7996, 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: 0.9289, f_measure: 0.871, kappa: 0.7389, kb_relative_information_score: 428.6182, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8711, predictive_accuracy: 0.871, prior_entropy: 0.9913, recall: 0.871, relative_absolute_error: 0.4043, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8669, kappa: 0.7309, kb_relative_information_score: 430.5586, mean_absolute_error: 0.1982, 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: 0.4012, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.7949, kappa: 0.5837, kb_relative_information_score: 402.9943, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7953, predictive_accuracy: 0.7957, prior_entropy: 0.9913, recall: 0.7957, relative_absolute_error: 0.4137, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8555, kappa: 0.71, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8606, 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: 0.863, f_measure: 0.8554, kappa: 0.7122, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8686, 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: 0.5006, 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: 0.9198, f_measure: 0.8724, kappa: 0.7416, kb_relative_information_score: 440.7073, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8724, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.864, kappa: 0.7254, kb_relative_information_score: 498.6511, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.865, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8627, kappa: 0.7233, kb_relative_information_score: 398.1183, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8649, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.458, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.6375,
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: 0.9309, f_measure: 0.8696, kappa: 0.7361, kb_relative_information_score: 428.8689, mean_absolute_error: 0.1998, 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: 0.4045, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.312, root_relative_squared_error: 0.6278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.8519, kappa: 0.6997, kb_relative_information_score: 482.3691, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.852, 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: 0.9262, f_measure: 0.8654, kappa: 0.7281, kb_relative_information_score: 443.8682, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8661, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3766, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.851, kappa: 0.6989, kb_relative_information_score: 447.6374, mean_absolute_error: 0.1791, 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: 0.3625, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.6787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8334, kappa: 0.6629, kb_relative_information_score: 122.6471, mean_absolute_error: 0.4273, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8526, predictive_accuracy: 0.8377, prior_entropy: 0.9913, recall: 0.8377, relative_absolute_error: 0.865, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.871, kappa: 0.7389, kb_relative_information_score: 441.9905, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8711, predictive_accuracy: 0.871, prior_entropy: 0.9913, recall: 0.871, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.6371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.8463, kappa: 0.6884, kb_relative_information_score: 149.8805, mean_absolute_error: 0.4107, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8591, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.8314, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.8444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.8726, kappa: 0.7426, kb_relative_information_score: 425.1299, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8732, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.4147, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.6173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.874, kappa: 0.7453, kb_relative_information_score: 437.8555, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8744, predictive_accuracy: 0.8739, prior_entropy: 0.9913, recall: 0.8739, relative_absolute_error: 0.389, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.6215,
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: 0.7615, f_measure: 0.7713, kappa: 0.5381, kb_relative_information_score: 378.5713, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7915, predictive_accuracy: 0.7783, prior_entropy: 0.9913, recall: 0.7783, relative_absolute_error: 0.4489, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9475,
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: 0.8089, f_measure: 0.8103, kappa: 0.6165, kb_relative_information_score: 423.3468, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8107, 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: 0.9033, f_measure: 0.845, kappa: 0.6866, kb_relative_information_score: 442.4222, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8453, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.3661, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7094,

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