OpenML
Supervised Classification on credit-approval

Supervised Classification on credit-approval

Task 29 Supervised Classification credit-approval 21239 runs submitted
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  • at2 basic ComplexWorkflows mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_70 study_73 study_98 study_99 under100k under1m
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21239 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8654, kappa: 0.7279, kb_relative_information_score: 438.2742, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8659, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3831, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.6557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.841, kappa: 0.6797, kb_relative_information_score: 423.1025, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8435, predictive_accuracy: 0.8406, prior_entropy: 0.9913, recall: 0.8406, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.6966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8625, kappa: 0.7221, kb_relative_information_score: 434.9, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.863, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.332, root_relative_squared_error: 0.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.8437, kappa: 0.6841, kb_relative_information_score: 443.0001, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8443, predictive_accuracy: 0.8435, prior_entropy: 0.9913, recall: 0.8435, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.8423, kappa: 0.6813, kb_relative_information_score: 438.8319, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8429, predictive_accuracy: 0.842, prior_entropy: 0.9913, recall: 0.842, relative_absolute_error: 0.3698, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8611, kappa: 0.7196, kb_relative_information_score: 429.3738, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8621, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.3941, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.334, root_relative_squared_error: 0.6722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8569, kappa: 0.7117, kb_relative_information_score: 429.2632, mean_absolute_error: 0.1932, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8592, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.3911, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.8451, kappa: 0.687, kb_relative_information_score: 423.2218, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8456, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.3966, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8581, kappa: 0.7128, kb_relative_information_score: 431.2763, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8582, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.387, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8668, kappa: 0.7308, kb_relative_information_score: 435.1617, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8672, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.3861, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.6634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.8366, kappa: 0.6705, kb_relative_information_score: 427.9241, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8383, predictive_accuracy: 0.8362, prior_entropy: 0.9913, recall: 0.8362, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3561, root_relative_squared_error: 0.7165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8553, kappa: 0.7079, kb_relative_information_score: 429.1755, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8563, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.6746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8454, kappa: 0.6894, kb_relative_information_score: 424.0882, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8497, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.3983, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8636, kappa: 0.7237, kb_relative_information_score: 433.0752, mean_absolute_error: 0.1925, 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: 0.3896, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.8235, kappa: 0.6439, kb_relative_information_score: 441.042, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8248, predictive_accuracy: 0.8232, prior_entropy: 0.9913, recall: 0.8232, relative_absolute_error: 0.3602, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8668, kappa: 0.7308, kb_relative_information_score: 439.0626, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8672, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.3813, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.326, root_relative_squared_error: 0.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.8452, kappa: 0.6876, kb_relative_information_score: 434.3914, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8463, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8625, kappa: 0.7219, kb_relative_information_score: 435.5317, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8628, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3861, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.6627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.8636, kappa: 0.7237, kb_relative_information_score: 433.4489, mean_absolute_error: 0.1922, 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: 0.389, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.6619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.8467, kappa: 0.6906, kb_relative_information_score: 423.5053, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8479, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.3966, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.7133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8625, kappa: 0.7221, kb_relative_information_score: 434.1282, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.863, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3863, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.8308, kappa: 0.6588, kb_relative_information_score: 423.4408, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8325, predictive_accuracy: 0.8304, prior_entropy: 0.9913, recall: 0.8304, relative_absolute_error: 0.3934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8636, kappa: 0.7237, kb_relative_information_score: 433.1277, mean_absolute_error: 0.1924, 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: 0.3895, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.6635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8493, kappa: 0.6948, kb_relative_information_score: 438.3747, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8493, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8295, kappa: 0.6571, kb_relative_information_score: 426.143, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8331, predictive_accuracy: 0.829, prior_entropy: 0.9913, recall: 0.829, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.7418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8482, kappa: 0.6942, kb_relative_information_score: 431.0964, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8505, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8466, kappa: 0.6902, kb_relative_information_score: 427.844, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8474, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.3897, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.7071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.848, kappa: 0.6926, kb_relative_information_score: 428.7928, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8483, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8395, kappa: 0.6763, kb_relative_information_score: 426.1004, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8411, predictive_accuracy: 0.8391, prior_entropy: 0.9913, recall: 0.8391, relative_absolute_error: 0.3934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.6909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.848, kappa: 0.6928, kb_relative_information_score: 440.8416, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8485, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.3679, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.8439, kappa: 0.6853, kb_relative_information_score: 419.6555, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.846, predictive_accuracy: 0.8435, prior_entropy: 0.9913, recall: 0.8435, relative_absolute_error: 0.4062, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.343, root_relative_squared_error: 0.6902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.8408, kappa: 0.6785, kb_relative_information_score: 423.742, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8416, predictive_accuracy: 0.8406, prior_entropy: 0.9913, recall: 0.8406, relative_absolute_error: 0.3966, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.6988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.8497, kappa: 0.6976, kb_relative_information_score: 428.755, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8529, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.3916, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.6908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8567, kappa: 0.7104, kb_relative_information_score: 434.4512, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.3866, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8624, kappa: 0.7217, kb_relative_information_score: 436.1436, mean_absolute_error: 0.1905, 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: 0.3856, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.8636, kappa: 0.7237, kb_relative_information_score: 433.3294, mean_absolute_error: 0.1923, 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: 0.3893, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.8654, kappa: 0.7279, kb_relative_information_score: 438.6194, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8659, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3824, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.6555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8667, kappa: 0.7302, kb_relative_information_score: 436.9194, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8668, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.3838, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.6602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8568, kappa: 0.7107, kb_relative_information_score: 432.2609, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8576, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.3889, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.8639, kappa: 0.7247, kb_relative_information_score: 435.9594, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8641, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3858, 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: 0.9178, f_measure: 0.8625, kappa: 0.7219, kb_relative_information_score: 438.1761, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8628, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.6598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.851, kappa: 0.6994, kb_relative_information_score: 434.1352, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8524, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.3811, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.6812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8567, kappa: 0.7104, kb_relative_information_score: 433.3255, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.6657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8667, kappa: 0.7304, kb_relative_information_score: 436.4399, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8669, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.3845, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8554, kappa: 0.7085, kb_relative_information_score: 431.0807, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3865, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.6984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8337, kappa: 0.6642, kb_relative_information_score: 426.7637, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8348, predictive_accuracy: 0.8333, prior_entropy: 0.9913, recall: 0.8333, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.8624, kappa: 0.7215, kb_relative_information_score: 434.802, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8625, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3865, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.6656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.8335, kappa: 0.6636, kb_relative_information_score: 433.2031, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.834, predictive_accuracy: 0.8333, prior_entropy: 0.9913, recall: 0.8333, relative_absolute_error: 0.3753, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, f_measure: 0.8221, kappa: 0.6411, kb_relative_information_score: 437.1541, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8235, predictive_accuracy: 0.8217, prior_entropy: 0.9913, recall: 0.8217, relative_absolute_error: 0.3658, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.387, root_relative_squared_error: 0.7786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8406, kappa: 0.6775, kb_relative_information_score: 430.5387, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8407, predictive_accuracy: 0.8406, prior_entropy: 0.9913, recall: 0.8406, relative_absolute_error: 0.3836, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8624, kappa: 0.7217, kb_relative_information_score: 434.7195, mean_absolute_error: 0.1908, 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: 0.3862, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.861, kappa: 0.7189, kb_relative_information_score: 435.9534, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8612, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8453, kappa: 0.6886, kb_relative_information_score: 427.525, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.848, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.3932, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.8365, kappa: 0.6698, kb_relative_information_score: 445.66, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8374, predictive_accuracy: 0.8362, prior_entropy: 0.9913, recall: 0.8362, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8567, kappa: 0.7104, kb_relative_information_score: 433.8427, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.33, root_relative_squared_error: 0.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8555, kappa: 0.7088, kb_relative_information_score: 426.0743, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8579, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3983, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.6785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8625, kappa: 0.7221, kb_relative_information_score: 434.609, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.863, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3856, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.6654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8636, kappa: 0.7237, kb_relative_information_score: 433.1801, mean_absolute_error: 0.1924, 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: 0.3896, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.6635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.8133, kappa: 0.6226, kb_relative_information_score: 417.3639, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8138, predictive_accuracy: 0.813, prior_entropy: 0.9913, recall: 0.813, relative_absolute_error: 0.3937, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.7967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.8019, kappa: 0.6005, kb_relative_information_score: 408.8387, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8036, predictive_accuracy: 0.8014, prior_entropy: 0.9913, recall: 0.8014, relative_absolute_error: 0.4061, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8221, kappa: 0.6408, kb_relative_information_score: 435.6776, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8232, predictive_accuracy: 0.8217, prior_entropy: 0.9913, recall: 0.8217, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8409, kappa: 0.6787, kb_relative_information_score: 429.5688, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8419, predictive_accuracy: 0.8406, prior_entropy: 0.9913, recall: 0.8406, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3553, root_relative_squared_error: 0.7149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8511, kappa: 0.7004, kb_relative_information_score: 429.4951, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8542, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.391, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.6895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.8625, kappa: 0.7219, kb_relative_information_score: 435.5409, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8628, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3862, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.6627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8424, kappa: 0.6819, kb_relative_information_score: 429.3495, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8437, predictive_accuracy: 0.842, prior_entropy: 0.9913, recall: 0.842, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.8133, kappa: 0.6226, kb_relative_information_score: 414.6398, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8138, predictive_accuracy: 0.813, prior_entropy: 0.9913, recall: 0.813, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.384, root_relative_squared_error: 0.7728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8654, kappa: 0.7279, kb_relative_information_score: 438.5745, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8659, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3826, 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: 0.8999, f_measure: 0.841, kappa: 0.6797, kb_relative_information_score: 422.7301, mean_absolute_error: 0.1976, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8435, predictive_accuracy: 0.8406, prior_entropy: 0.9913, recall: 0.8406, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.854, kappa: 0.7062, kb_relative_information_score: 425.157, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8571, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.6794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.851, kappa: 0.6989, kb_relative_information_score: 423.2659, mean_absolute_error: 0.1963, 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: 0.3974, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8625, kappa: 0.7221, kb_relative_information_score: 434.5236, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.863, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3858, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.6677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.8323, kappa: 0.6616, kb_relative_information_score: 444.5144, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8338, predictive_accuracy: 0.8319, prior_entropy: 0.9913, recall: 0.8319, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.8365, kappa: 0.6698, kb_relative_information_score: 427.8404, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8374, predictive_accuracy: 0.8362, prior_entropy: 0.9913, recall: 0.8362, relative_absolute_error: 0.387, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.7173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8624, kappa: 0.7217, kb_relative_information_score: 437.0849, mean_absolute_error: 0.1897, 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: 0.3841, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.6594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.8554, kappa: 0.7085, kb_relative_information_score: 430.8369, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.6806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.854, kappa: 0.7062, kb_relative_information_score: 424.3075, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8571, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.4004, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.8468, kappa: 0.6914, kb_relative_information_score: 428.4879, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8492, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.3922, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.6884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8221, kappa: 0.6408, kb_relative_information_score: 428.2839, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8232, predictive_accuracy: 0.8217, prior_entropy: 0.9913, recall: 0.8217, relative_absolute_error: 0.3804, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8279, kappa: 0.6525, kb_relative_information_score: 422.7659, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.829, predictive_accuracy: 0.8275, prior_entropy: 0.9913, recall: 0.8275, relative_absolute_error: 0.3936, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8539, kappa: 0.7049, kb_relative_information_score: 429.8148, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8547, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8639, kappa: 0.7247, kb_relative_information_score: 436.1905, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8641, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3852, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.6615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8252, kappa: 0.6485, kb_relative_information_score: 428.2057, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.829, predictive_accuracy: 0.8246, prior_entropy: 0.9913, recall: 0.8246, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.8307, kappa: 0.6579, kb_relative_information_score: 429.3245, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8314, predictive_accuracy: 0.8304, prior_entropy: 0.9913, recall: 0.8304, relative_absolute_error: 0.3824, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.7364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.8624, kappa: 0.7217, kb_relative_information_score: 436.8999, mean_absolute_error: 0.1892, 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: 0.383, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.8249, kappa: 0.6462, kb_relative_information_score: 419.2692, mean_absolute_error: 0.195, 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: 0.3948, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8394, kappa: 0.6755, kb_relative_information_score: 434.7552, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.84, predictive_accuracy: 0.8391, prior_entropy: 0.9913, recall: 0.8391, relative_absolute_error: 0.3744, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.7222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.8335, kappa: 0.6636, kb_relative_information_score: 428.1407, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.834, predictive_accuracy: 0.8333, prior_entropy: 0.9913, recall: 0.8333, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.8554, kappa: 0.7087, kb_relative_information_score: 426.9551, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8575, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3945, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.6867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8468, kappa: 0.6912, kb_relative_information_score: 428.5039, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8489, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.3918, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.8481, kappa: 0.693, kb_relative_information_score: 427.1167, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8487, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.3948, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.8624, kappa: 0.7217, kb_relative_information_score: 437.0707, mean_absolute_error: 0.189, 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: 0.3827, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.6602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8437, kappa: 0.6843, kb_relative_information_score: 422.1144, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8445, predictive_accuracy: 0.8435, prior_entropy: 0.9913, recall: 0.8435, relative_absolute_error: 0.399, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.845, kappa: 0.6866, kb_relative_information_score: 433.629, mean_absolute_error: 0.1878, 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: 0.3803, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.7283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8668, kappa: 0.7308, kb_relative_information_score: 434.9124, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8672, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8468, kappa: 0.6912, kb_relative_information_score: 430.2527, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8489, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.3888, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.6852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8639, kappa: 0.7247, kb_relative_information_score: 436.1259, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8641, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.6615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.841, kappa: 0.6793, kb_relative_information_score: 426.2192, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8427, predictive_accuracy: 0.8406, prior_entropy: 0.9913, recall: 0.8406, relative_absolute_error: 0.3924, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.7017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8294, kappa: 0.656, kb_relative_information_score: 422.2057, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8312, predictive_accuracy: 0.829, prior_entropy: 0.9913, recall: 0.829, relative_absolute_error: 0.3953, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.7334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.854, kappa: 0.7062, kb_relative_information_score: 423.922, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8571, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.4011, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.6794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.802, kappa: 0.6012, kb_relative_information_score: 421.1474, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8046, predictive_accuracy: 0.8014, prior_entropy: 0.9913, recall: 0.8014, relative_absolute_error: 0.3861, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8405,

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

OpenML APIs