Task
Supervised Classification on eeg-eye-state

Supervised Classification on eeg-eye-state

Task 403 Supervised Classification eeg-eye-state 422 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.8451, kappa: 0.6869, kb_relative_information_score: 0.6857, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8452, number_of_instances: 14980, precision: 0.8451, predictive_accuracy: 0.8452, prior_entropy: 0.9924, relative_absolute_error: 0.3129, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.7911, unweighted_recall: 0.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.8439, kappa: 0.6844, kb_relative_information_score: 0.6831, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8439, number_of_instances: 14980, precision: 0.8439, predictive_accuracy: 0.8439, prior_entropy: 0.9924, relative_absolute_error: 0.3155, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.7943, unweighted_recall: 0.8421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.8453, kappa: 0.6873, kb_relative_information_score: 0.6859, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8453, number_of_instances: 14980, precision: 0.8453, predictive_accuracy: 0.8453, prior_entropy: 0.9924, relative_absolute_error: 0.3126, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.7907, unweighted_recall: 0.8436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.8436, kappa: 0.6838, kb_relative_information_score: 0.6824, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8436, number_of_instances: 14980, precision: 0.8435, predictive_accuracy: 0.8436, prior_entropy: 0.9924, relative_absolute_error: 0.3161, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.7952, unweighted_recall: 0.8418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.8433, kappa: 0.6831, kb_relative_information_score: 0.6819, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8433, number_of_instances: 14980, precision: 0.8432, predictive_accuracy: 0.8433, prior_entropy: 0.9924, relative_absolute_error: 0.3167, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.7958, unweighted_recall: 0.8413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.8426, kappa: 0.6818, kb_relative_information_score: 0.6805, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8427, number_of_instances: 14980, precision: 0.8426, predictive_accuracy: 0.8427, prior_entropy: 0.9924, relative_absolute_error: 0.318, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.7975, unweighted_recall: 0.8407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.8424, kappa: 0.6814, kb_relative_information_score: 0.6802, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8425, number_of_instances: 14980, precision: 0.8424, predictive_accuracy: 0.8425, prior_entropy: 0.9924, relative_absolute_error: 0.3183, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.7979, unweighted_recall: 0.8404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.8439, kappa: 0.6844, kb_relative_information_score: 0.6831, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8439, number_of_instances: 14980, precision: 0.8439, predictive_accuracy: 0.8439, prior_entropy: 0.9924, relative_absolute_error: 0.3155, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.7943, unweighted_recall: 0.8421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.844, kappa: 0.6847, kb_relative_information_score: 0.6833, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8441, number_of_instances: 14980, precision: 0.844, predictive_accuracy: 0.8441, prior_entropy: 0.9924, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.794, unweighted_recall: 0.8422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.8437, kappa: 0.684, kb_relative_information_score: 0.6827, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8437, number_of_instances: 14980, precision: 0.8437, predictive_accuracy: 0.8437, prior_entropy: 0.9924, relative_absolute_error: 0.3159, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.7948, unweighted_recall: 0.8419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.8443, kappa: 0.6853, kb_relative_information_score: 0.684, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8444, number_of_instances: 14980, precision: 0.8443, predictive_accuracy: 0.8444, prior_entropy: 0.9924, relative_absolute_error: 0.3145, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7931, unweighted_recall: 0.8424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, f_measure: 0.8446, kappa: 0.6858, kb_relative_information_score: 0.6846, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8447, number_of_instances: 14980, precision: 0.8446, predictive_accuracy: 0.8447, prior_entropy: 0.9924, relative_absolute_error: 0.314, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.7924, unweighted_recall: 0.8427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.8459, kappa: 0.6884, kb_relative_information_score: 0.6871, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8459, number_of_instances: 14980, precision: 0.8459, predictive_accuracy: 0.8459, prior_entropy: 0.9924, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.7892, unweighted_recall: 0.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, f_measure: 0.8435, kappa: 0.6836, kb_relative_information_score: 0.6824, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8436, number_of_instances: 14980, precision: 0.8435, predictive_accuracy: 0.8436, prior_entropy: 0.9924, relative_absolute_error: 0.3161, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.7952, unweighted_recall: 0.8415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.845, kappa: 0.6867, kb_relative_information_score: 0.6854, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8451, number_of_instances: 14980, precision: 0.845, predictive_accuracy: 0.8451, prior_entropy: 0.9924, relative_absolute_error: 0.3132, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.7914, unweighted_recall: 0.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.844, kappa: 0.6847, kb_relative_information_score: 0.6833, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8441, number_of_instances: 14980, precision: 0.844, predictive_accuracy: 0.8441, prior_entropy: 0.9924, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.794, unweighted_recall: 0.8422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.8451, kappa: 0.6869, kb_relative_information_score: 0.6857, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8452, number_of_instances: 14980, precision: 0.8451, predictive_accuracy: 0.8452, prior_entropy: 0.9924, relative_absolute_error: 0.3129, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.7911, unweighted_recall: 0.8433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.8431, kappa: 0.6827, kb_relative_information_score: 0.6814, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8431, number_of_instances: 14980, precision: 0.843, predictive_accuracy: 0.8431, prior_entropy: 0.9924, relative_absolute_error: 0.3171, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.7963, unweighted_recall: 0.8412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.8419, kappa: 0.6804, kb_relative_information_score: 0.679, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8419, number_of_instances: 14980, precision: 0.8419, predictive_accuracy: 0.8419, prior_entropy: 0.9924, relative_absolute_error: 0.3195, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7994, unweighted_recall: 0.8401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.8431, kappa: 0.6828, kb_relative_information_score: 0.6816, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8432, number_of_instances: 14980, precision: 0.8431, predictive_accuracy: 0.8432, prior_entropy: 0.9924, relative_absolute_error: 0.3169, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.396, root_relative_squared_error: 0.7962, unweighted_recall: 0.8411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.8431, kappa: 0.6829, kb_relative_information_score: 0.6816, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8432, number_of_instances: 14980, precision: 0.8431, predictive_accuracy: 0.8432, prior_entropy: 0.9924, relative_absolute_error: 0.3169, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.396, root_relative_squared_error: 0.7962, unweighted_recall: 0.8412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.8428, kappa: 0.6822, kb_relative_information_score: 0.6809, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8429, number_of_instances: 14980, precision: 0.8428, predictive_accuracy: 0.8429, prior_entropy: 0.9924, relative_absolute_error: 0.3176, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.797, unweighted_recall: 0.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.8421, kappa: 0.6809, kb_relative_information_score: 0.6794, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8421, number_of_instances: 14980, precision: 0.8421, predictive_accuracy: 0.8421, prior_entropy: 0.9924, relative_absolute_error: 0.3191, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.7989, unweighted_recall: 0.8405,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.8427, kappa: 0.682, kb_relative_information_score: 0.6806, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8427, number_of_instances: 14980, precision: 0.8427, predictive_accuracy: 0.8427, prior_entropy: 0.9924, relative_absolute_error: 0.3179, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.7974, unweighted_recall: 0.8409,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.8429, kappa: 0.6824, kb_relative_information_score: 0.681, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8429, number_of_instances: 14980, precision: 0.8429, predictive_accuracy: 0.8429, prior_entropy: 0.9924, relative_absolute_error: 0.3175, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7968, unweighted_recall: 0.8411,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.8422, kappa: 0.6811, kb_relative_information_score: 0.6797, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8423, number_of_instances: 14980, precision: 0.8422, predictive_accuracy: 0.8423, prior_entropy: 0.9924, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.7985, unweighted_recall: 0.8405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.8424, kappa: 0.6814, kb_relative_information_score: 0.6801, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8425, number_of_instances: 14980, precision: 0.8424, predictive_accuracy: 0.8425, prior_entropy: 0.9924, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.798, unweighted_recall: 0.8405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.8441, kappa: 0.6848, kb_relative_information_score: 0.6836, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8442, number_of_instances: 14980, precision: 0.8441, predictive_accuracy: 0.8442, prior_entropy: 0.9924, relative_absolute_error: 0.3149, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7936, unweighted_recall: 0.8421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.8432, kappa: 0.6829, kb_relative_information_score: 0.6816, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8432, number_of_instances: 14980, precision: 0.8431, predictive_accuracy: 0.8432, prior_entropy: 0.9924, relative_absolute_error: 0.3169, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.396, root_relative_squared_error: 0.7962, unweighted_recall: 0.8413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.8418, kappa: 0.6801, kb_relative_information_score: 0.6789, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8419, number_of_instances: 14980, precision: 0.8417, predictive_accuracy: 0.8419, prior_entropy: 0.9924, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.7996, unweighted_recall: 0.8397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.8429, kappa: 0.6825, kb_relative_information_score: 0.681, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8429, number_of_instances: 14980, precision: 0.8429, predictive_accuracy: 0.8429, prior_entropy: 0.9924, relative_absolute_error: 0.3175, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7968, unweighted_recall: 0.8412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.8403, kappa: 0.6772, kb_relative_information_score: 0.6759, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8404, number_of_instances: 14980, precision: 0.8403, predictive_accuracy: 0.8404, prior_entropy: 0.9924, relative_absolute_error: 0.3226, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8033, unweighted_recall: 0.8383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.8427, kappa: 0.682, kb_relative_information_score: 0.6808, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8428, number_of_instances: 14980, precision: 0.8427, predictive_accuracy: 0.8428, prior_entropy: 0.9924, relative_absolute_error: 0.3178, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.7972, unweighted_recall: 0.8407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.8457, kappa: 0.688, kb_relative_information_score: 0.6869, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8458, number_of_instances: 14980, precision: 0.8457, predictive_accuracy: 0.8458, prior_entropy: 0.9924, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.7895, unweighted_recall: 0.8436,

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