OpenML
Supervised Classification on eeg-eye-state

Supervised Classification on eeg-eye-state

Task 9983 Supervised Classification eeg-eye-state 97277 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.7922, kappa: 0.5791, kb_relative_information_score: 0.3395, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4948, weighted_recall: 0.7946, number_of_instances: 14980, precision: 0.7971, predictive_accuracy: 0.7946, prior_entropy: 0.9924, relative_absolute_error: 0.7012, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.7833, unweighted_recall: 0.7856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8268, kappa: 0.649, kb_relative_information_score: 0.4408, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.4948, weighted_recall: 0.828, number_of_instances: 14980, precision: 0.8291, predictive_accuracy: 0.828, prior_entropy: 0.9924, relative_absolute_error: 0.5992, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.7169, unweighted_recall: 0.8215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.8896, kappa: 0.7766, kb_relative_information_score: 0.6787, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8897, number_of_instances: 14980, precision: 0.8897, predictive_accuracy: 0.8897, prior_entropy: 0.9924, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.5724, unweighted_recall: 0.8874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.887, kappa: 0.7715, kb_relative_information_score: 0.6995, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8871, number_of_instances: 14980, precision: 0.887, predictive_accuracy: 0.8871, prior_entropy: 0.9924, relative_absolute_error: 0.3173, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.5723, unweighted_recall: 0.8852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8344, kappa: 0.6644, kb_relative_information_score: 0.4559, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8353, number_of_instances: 14980, precision: 0.836, predictive_accuracy: 0.8353, prior_entropy: 0.9924, relative_absolute_error: 0.5842, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7052, unweighted_recall: 0.8296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.8709, kappa: 0.7387, kb_relative_information_score: 0.6046, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8712, number_of_instances: 14980, precision: 0.8713, predictive_accuracy: 0.8712, prior_entropy: 0.9924, relative_absolute_error: 0.4254, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.6144, unweighted_recall: 0.8679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7932, kappa: 0.5811, kb_relative_information_score: 0.343, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4948, weighted_recall: 0.7955, number_of_instances: 14980, precision: 0.798, predictive_accuracy: 0.7955, prior_entropy: 0.9924, relative_absolute_error: 0.6972, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.7832, unweighted_recall: 0.7866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8771, kappa: 0.7514, kb_relative_information_score: 0.6351, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8773, number_of_instances: 14980, precision: 0.8772, predictive_accuracy: 0.8773, prior_entropy: 0.9924, relative_absolute_error: 0.3902, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.6037, unweighted_recall: 0.8748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8446, kappa: 0.6852, kb_relative_information_score: 0.5131, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8451, number_of_instances: 14980, precision: 0.8453, predictive_accuracy: 0.8451, prior_entropy: 0.9924, relative_absolute_error: 0.5225, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.6745, unweighted_recall: 0.8406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, f_measure: 0.7201, kappa: 0.4416, kb_relative_information_score: 0.1504, mean_absolute_error: 0.4357, mean_prior_absolute_error: 0.4948, weighted_recall: 0.7334, number_of_instances: 14980, precision: 0.7555, predictive_accuracy: 0.7334, prior_entropy: 0.9924, relative_absolute_error: 0.8806, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9009, unweighted_recall: 0.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8572, kappa: 0.7107, kb_relative_information_score: 0.5425, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8576, number_of_instances: 14980, precision: 0.8578, predictive_accuracy: 0.8576, prior_entropy: 0.9924, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.6517, unweighted_recall: 0.8535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.8861, kappa: 0.7695, kb_relative_information_score: 0.673, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8862, number_of_instances: 14980, precision: 0.8862, predictive_accuracy: 0.8862, prior_entropy: 0.9924, relative_absolute_error: 0.3485, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.289, root_relative_squared_error: 0.5811, unweighted_recall: 0.8838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.8832, kappa: 0.7637, kb_relative_information_score: 0.662, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8834, number_of_instances: 14980, precision: 0.8833, predictive_accuracy: 0.8834, prior_entropy: 0.9924, relative_absolute_error: 0.361, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.5892, unweighted_recall: 0.8809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.8722, kappa: 0.7413, kb_relative_information_score: 0.6095, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8725, number_of_instances: 14980, precision: 0.8725, predictive_accuracy: 0.8725, prior_entropy: 0.9924, relative_absolute_error: 0.4199, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3051, root_relative_squared_error: 0.6133, unweighted_recall: 0.8692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.8738, kappa: 0.7446, kb_relative_information_score: 0.6051, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.4948, weighted_recall: 0.874, number_of_instances: 14980, precision: 0.874, predictive_accuracy: 0.874, prior_entropy: 0.9924, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.6116, unweighted_recall: 0.8712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8649, kappa: 0.7264, kb_relative_information_score: 0.5573, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8652, number_of_instances: 14980, precision: 0.8653, predictive_accuracy: 0.8652, prior_entropy: 0.9924, relative_absolute_error: 0.4783, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6374, unweighted_recall: 0.8617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.8721, kappa: 0.7412, kb_relative_information_score: 0.6514, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8722, number_of_instances: 14980, precision: 0.8721, predictive_accuracy: 0.8722, prior_entropy: 0.9924, relative_absolute_error: 0.3691, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.6099, unweighted_recall: 0.8699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8908, kappa: 0.7791, kb_relative_information_score: 0.696, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8909, number_of_instances: 14980, precision: 0.8909, predictive_accuracy: 0.8909, prior_entropy: 0.9924, relative_absolute_error: 0.3228, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2833, root_relative_squared_error: 0.5697, unweighted_recall: 0.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8809, kappa: 0.759, kb_relative_information_score: 0.6533, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4948, weighted_recall: 0.881, number_of_instances: 14980, precision: 0.881, predictive_accuracy: 0.881, prior_entropy: 0.9924, relative_absolute_error: 0.3706, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.5902, unweighted_recall: 0.8786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.8761, kappa: 0.7492, kb_relative_information_score: 0.6206, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8764, number_of_instances: 14980, precision: 0.8764, predictive_accuracy: 0.8764, prior_entropy: 0.9924, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.299, root_relative_squared_error: 0.6012, unweighted_recall: 0.8732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8765, kappa: 0.7501, kb_relative_information_score: 0.6556, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8766, number_of_instances: 14980, precision: 0.8765, predictive_accuracy: 0.8766, prior_entropy: 0.9924, relative_absolute_error: 0.3655, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.6019, unweighted_recall: 0.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.7846, kappa: 0.5638, kb_relative_information_score: 0.3199, mean_absolute_error: 0.3563, mean_prior_absolute_error: 0.4948, weighted_recall: 0.7874, number_of_instances: 14980, precision: 0.7904, predictive_accuracy: 0.7874, prior_entropy: 0.9924, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.797, unweighted_recall: 0.7777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8664, kappa: 0.7296, kb_relative_information_score: 0.5806, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8668, number_of_instances: 14980, precision: 0.8668, predictive_accuracy: 0.8668, prior_entropy: 0.9924, relative_absolute_error: 0.4512, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.631, unweighted_recall: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8849, kappa: 0.7671, kb_relative_information_score: 0.6763, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4948, weighted_recall: 0.885, number_of_instances: 14980, precision: 0.8849, predictive_accuracy: 0.885, prior_entropy: 0.9924, relative_absolute_error: 0.3445, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.5807, unweighted_recall: 0.8829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.8792, kappa: 0.7556, kb_relative_information_score: 0.6436, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8794, number_of_instances: 14980, precision: 0.8794, predictive_accuracy: 0.8794, prior_entropy: 0.9924, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.596, unweighted_recall: 0.8767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.8372, kappa: 0.6701, kb_relative_information_score: 0.4678, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.4948, weighted_recall: 0.838, number_of_instances: 14980, precision: 0.8385, predictive_accuracy: 0.838, prior_entropy: 0.9924, relative_absolute_error: 0.5715, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.6986, unweighted_recall: 0.8326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.7879, kappa: 0.5703, kb_relative_information_score: 0.3308, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4948, weighted_recall: 0.7903, number_of_instances: 14980, precision: 0.7927, predictive_accuracy: 0.7903, prior_entropy: 0.9924, relative_absolute_error: 0.7091, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.7909, unweighted_recall: 0.7812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8897, kappa: 0.7768, kb_relative_information_score: 0.7056, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8898, number_of_instances: 14980, precision: 0.8897, predictive_accuracy: 0.8898, prior_entropy: 0.9924, relative_absolute_error: 0.3104, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.5733, unweighted_recall: 0.8876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.8314, kappa: 0.6584, kb_relative_information_score: 0.457, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8323, number_of_instances: 14980, precision: 0.8329, predictive_accuracy: 0.8323, prior_entropy: 0.9924, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.7071, unweighted_recall: 0.8266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.874, kappa: 0.7449, kb_relative_information_score: 0.6345, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8742, number_of_instances: 14980, precision: 0.8742, predictive_accuracy: 0.8742, prior_entropy: 0.9924, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.602, unweighted_recall: 0.8712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8663, kappa: 0.7293, kb_relative_information_score: 0.5812, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8667, number_of_instances: 14980, precision: 0.8668, predictive_accuracy: 0.8667, prior_entropy: 0.9924, relative_absolute_error: 0.4509, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6294, unweighted_recall: 0.8629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8454, kappa: 0.6869, kb_relative_information_score: 0.4944, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.4948, weighted_recall: 0.846, number_of_instances: 14980, precision: 0.8462, predictive_accuracy: 0.846, prior_entropy: 0.9924, relative_absolute_error: 0.5444, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.6804, unweighted_recall: 0.8414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.883, kappa: 0.7633, kb_relative_information_score: 0.6973, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8832, number_of_instances: 14980, precision: 0.8831, predictive_accuracy: 0.8832, prior_entropy: 0.9924, relative_absolute_error: 0.3183, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.292, root_relative_squared_error: 0.587, unweighted_recall: 0.8808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8726, kappa: 0.7422, kb_relative_information_score: 0.6218, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8728, number_of_instances: 14980, precision: 0.8728, predictive_accuracy: 0.8728, prior_entropy: 0.9924, relative_absolute_error: 0.4054, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.6094, unweighted_recall: 0.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.8709, kappa: 0.7387, kb_relative_information_score: 0.6184, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8711, number_of_instances: 14980, precision: 0.871, predictive_accuracy: 0.8711, prior_entropy: 0.9924, relative_absolute_error: 0.4088, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.6127, unweighted_recall: 0.8682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.8366, kappa: 0.6689, kb_relative_information_score: 0.4671, mean_absolute_error: 0.2833, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8374, number_of_instances: 14980, precision: 0.8381, predictive_accuracy: 0.8374, prior_entropy: 0.9924, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.6983, unweighted_recall: 0.8319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.8781, kappa: 0.7534, kb_relative_information_score: 0.682, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8782, number_of_instances: 14980, precision: 0.8781, predictive_accuracy: 0.8782, prior_entropy: 0.9924, relative_absolute_error: 0.3346, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.5945, unweighted_recall: 0.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8772, kappa: 0.7515, kb_relative_information_score: 0.6583, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8774, number_of_instances: 14980, precision: 0.8773, predictive_accuracy: 0.8774, prior_entropy: 0.9924, relative_absolute_error: 0.3632, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2969, root_relative_squared_error: 0.597, unweighted_recall: 0.8748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8064, kappa: 0.6077, kb_relative_information_score: 0.3813, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8081, number_of_instances: 14980, precision: 0.8096, predictive_accuracy: 0.8081, prior_entropy: 0.9924, relative_absolute_error: 0.6594, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7565, unweighted_recall: 0.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.8812, kappa: 0.7597, kb_relative_information_score: 0.6561, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8814, number_of_instances: 14980, precision: 0.8813, predictive_accuracy: 0.8814, prior_entropy: 0.9924, relative_absolute_error: 0.3669, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.5922, unweighted_recall: 0.8789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8322, kappa: 0.6601, kb_relative_information_score: 0.4629, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8331, number_of_instances: 14980, precision: 0.8337, predictive_accuracy: 0.8331, prior_entropy: 0.9924, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7057, unweighted_recall: 0.8275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.848, kappa: 0.6922, kb_relative_information_score: 0.5237, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8485, number_of_instances: 14980, precision: 0.8487, predictive_accuracy: 0.8485, prior_entropy: 0.9924, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.6663, unweighted_recall: 0.8443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.8722, kappa: 0.7412, kb_relative_information_score: 0.6071, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8724, number_of_instances: 14980, precision: 0.8724, predictive_accuracy: 0.8724, prior_entropy: 0.9924, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.614, unweighted_recall: 0.8693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.8723, kappa: 0.7416, kb_relative_information_score: 0.6332, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8726, number_of_instances: 14980, precision: 0.8725, predictive_accuracy: 0.8726, prior_entropy: 0.9924, relative_absolute_error: 0.3927, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6017, unweighted_recall: 0.8695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.8867, kappa: 0.7708, kb_relative_information_score: 0.6631, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8869, number_of_instances: 14980, precision: 0.8869, predictive_accuracy: 0.8869, prior_entropy: 0.9924, relative_absolute_error: 0.3617, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.5778, unweighted_recall: 0.8843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.823, kappa: 0.6414, kb_relative_information_score: 0.4351, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8241, number_of_instances: 14980, precision: 0.8249, predictive_accuracy: 0.8241, prior_entropy: 0.9924, relative_absolute_error: 0.6043, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.7242, unweighted_recall: 0.8179,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.8711, kappa: 0.7391, kb_relative_information_score: 0.5932, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8714, number_of_instances: 14980, precision: 0.8715, predictive_accuracy: 0.8714, prior_entropy: 0.9924, relative_absolute_error: 0.4386, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.6185, unweighted_recall: 0.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8519, kappa: 0.6999, kb_relative_information_score: 0.5105, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8525, number_of_instances: 14980, precision: 0.8529, predictive_accuracy: 0.8525, prior_entropy: 0.9924, relative_absolute_error: 0.5273, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.6704, unweighted_recall: 0.8478,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.835, kappa: 0.6656, kb_relative_information_score: 0.4631, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8359, number_of_instances: 14980, precision: 0.8367, predictive_accuracy: 0.8359, prior_entropy: 0.9924, relative_absolute_error: 0.5764, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.7015, unweighted_recall: 0.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8871, kappa: 0.7715, kb_relative_information_score: 0.6612, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8872, number_of_instances: 14980, precision: 0.8872, predictive_accuracy: 0.8872, prior_entropy: 0.9924, relative_absolute_error: 0.3641, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.287, root_relative_squared_error: 0.5769, unweighted_recall: 0.8847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8856, kappa: 0.7686, kb_relative_information_score: 0.6451, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8858, number_of_instances: 14980, precision: 0.8858, predictive_accuracy: 0.8858, prior_entropy: 0.9924, relative_absolute_error: 0.3828, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.5834, unweighted_recall: 0.8831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8782, kappa: 0.7535, kb_relative_information_score: 0.6452, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8784, number_of_instances: 14980, precision: 0.8784, predictive_accuracy: 0.8784, prior_entropy: 0.9924, relative_absolute_error: 0.3802, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.5939, unweighted_recall: 0.8755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.872, kappa: 0.741, kb_relative_information_score: 0.6625, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8722, number_of_instances: 14980, precision: 0.8722, predictive_accuracy: 0.8722, prior_entropy: 0.9924, relative_absolute_error: 0.3562, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.6078, unweighted_recall: 0.8695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8785, kappa: 0.7542, kb_relative_information_score: 0.6781, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8787, number_of_instances: 14980, precision: 0.8786, predictive_accuracy: 0.8787, prior_entropy: 0.9924, relative_absolute_error: 0.34, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.5892, unweighted_recall: 0.8762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.8585, kappa: 0.7134, kb_relative_information_score: 0.5355, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.4948, weighted_recall: 0.859, number_of_instances: 14980, precision: 0.8593, predictive_accuracy: 0.859, prior_entropy: 0.9924, relative_absolute_error: 0.5012, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.6525, unweighted_recall: 0.8547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.8862, kappa: 0.7698, kb_relative_information_score: 0.6931, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8863, number_of_instances: 14980, precision: 0.8862, predictive_accuracy: 0.8863, prior_entropy: 0.9924, relative_absolute_error: 0.3244, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.5804, unweighted_recall: 0.8841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.7626, kappa: 0.5197, kb_relative_information_score: 0.2537, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4948, weighted_recall: 0.7669, number_of_instances: 14980, precision: 0.7719, predictive_accuracy: 0.7669, prior_entropy: 0.9924, relative_absolute_error: 0.7852, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8378, unweighted_recall: 0.7549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.862, kappa: 0.7205, kb_relative_information_score: 0.5731, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8623, number_of_instances: 14980, precision: 0.8623, predictive_accuracy: 0.8623, prior_entropy: 0.9924, relative_absolute_error: 0.4592, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6348, unweighted_recall: 0.8588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.8865, kappa: 0.7703, kb_relative_information_score: 0.6846, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8866, number_of_instances: 14980, precision: 0.8865, predictive_accuracy: 0.8866, prior_entropy: 0.9924, relative_absolute_error: 0.3348, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.5798, unweighted_recall: 0.8844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.8752, kappa: 0.7474, kb_relative_information_score: 0.6184, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8755, number_of_instances: 14980, precision: 0.8755, predictive_accuracy: 0.8755, prior_entropy: 0.9924, relative_absolute_error: 0.4095, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.6102, unweighted_recall: 0.8723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.8871, kappa: 0.7716, kb_relative_information_score: 0.6797, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8873, number_of_instances: 14980, precision: 0.8873, predictive_accuracy: 0.8873, prior_entropy: 0.9924, relative_absolute_error: 0.3415, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.286, root_relative_squared_error: 0.575, unweighted_recall: 0.8847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.8832, kappa: 0.7638, kb_relative_information_score: 0.6922, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8834, number_of_instances: 14980, precision: 0.8833, predictive_accuracy: 0.8834, prior_entropy: 0.9924, relative_absolute_error: 0.3249, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.5837, unweighted_recall: 0.8811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.8749, kappa: 0.7468, kb_relative_information_score: 0.6496, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8751, number_of_instances: 14980, precision: 0.875, predictive_accuracy: 0.8751, prior_entropy: 0.9924, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.6039, unweighted_recall: 0.8723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8364, kappa: 0.6689, kb_relative_information_score: 0.5343, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8368, number_of_instances: 14980, precision: 0.8366, predictive_accuracy: 0.8368, prior_entropy: 0.9924, relative_absolute_error: 0.4942, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.6844, unweighted_recall: 0.8332,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.8895, kappa: 0.7764, kb_relative_information_score: 0.6666, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8897, number_of_instances: 14980, precision: 0.8896, predictive_accuracy: 0.8897, prior_entropy: 0.9924, relative_absolute_error: 0.3579, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.5744, unweighted_recall: 0.8872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.8765, kappa: 0.75, kb_relative_information_score: 0.6173, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8768, number_of_instances: 14980, precision: 0.8769, predictive_accuracy: 0.8768, prior_entropy: 0.9924, relative_absolute_error: 0.4118, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6062, unweighted_recall: 0.8735,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.876, kappa: 0.749, kb_relative_information_score: 0.6175, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8763, number_of_instances: 14980, precision: 0.8764, predictive_accuracy: 0.8763, prior_entropy: 0.9924, relative_absolute_error: 0.4115, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.605, unweighted_recall: 0.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.8101, kappa: 0.6151, kb_relative_information_score: 0.3989, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8117, number_of_instances: 14980, precision: 0.8132, predictive_accuracy: 0.8117, prior_entropy: 0.9924, relative_absolute_error: 0.6407, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.749, unweighted_recall: 0.8042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.8409, kappa: 0.6778, kb_relative_information_score: 0.4941, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8416, number_of_instances: 14980, precision: 0.8419, predictive_accuracy: 0.8416, prior_entropy: 0.9924, relative_absolute_error: 0.5433, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.685, unweighted_recall: 0.8368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8528, kappa: 0.7019, kb_relative_information_score: 0.5203, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8532, number_of_instances: 14980, precision: 0.8533, predictive_accuracy: 0.8532, prior_entropy: 0.9924, relative_absolute_error: 0.5165, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.6645, unweighted_recall: 0.8492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.8883, kappa: 0.7739, kb_relative_information_score: 0.6649, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8885, number_of_instances: 14980, precision: 0.8886, predictive_accuracy: 0.8885, prior_entropy: 0.9924, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.5772, unweighted_recall: 0.8855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.7864, kappa: 0.5673, kb_relative_information_score: 0.3378, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.4948, weighted_recall: 0.7888, number_of_instances: 14980, precision: 0.791, predictive_accuracy: 0.7888, prior_entropy: 0.9924, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.7856, unweighted_recall: 0.7798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.8747, kappa: 0.7464, kb_relative_information_score: 0.6163, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8749, number_of_instances: 14980, precision: 0.8748, predictive_accuracy: 0.8749, prior_entropy: 0.9924, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.6103, unweighted_recall: 0.8721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.8699, kappa: 0.7367, kb_relative_information_score: 0.6023, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8702, number_of_instances: 14980, precision: 0.8702, predictive_accuracy: 0.8702, prior_entropy: 0.9924, relative_absolute_error: 0.4272, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.62, unweighted_recall: 0.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.8807, kappa: 0.7586, kb_relative_information_score: 0.6708, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8808, number_of_instances: 14980, precision: 0.8808, predictive_accuracy: 0.8808, prior_entropy: 0.9924, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.5937, unweighted_recall: 0.8784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8475, kappa: 0.691, kb_relative_information_score: 0.4961, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8481, number_of_instances: 14980, precision: 0.8486, predictive_accuracy: 0.8481, prior_entropy: 0.9924, relative_absolute_error: 0.5425, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6785, unweighted_recall: 0.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8362, kappa: 0.6682, kb_relative_information_score: 0.4713, mean_absolute_error: 0.2808, mean_prior_absolute_error: 0.4948, weighted_recall: 0.837, number_of_instances: 14980, precision: 0.8376, predictive_accuracy: 0.837, prior_entropy: 0.9924, relative_absolute_error: 0.5676, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.347, root_relative_squared_error: 0.6977, unweighted_recall: 0.8316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8777, kappa: 0.7525, kb_relative_information_score: 0.6141, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8779, number_of_instances: 14980, precision: 0.8778, predictive_accuracy: 0.8779, prior_entropy: 0.9924, relative_absolute_error: 0.4159, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.6066, unweighted_recall: 0.8752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.8718, kappa: 0.7405, kb_relative_information_score: 0.6133, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8721, number_of_instances: 14980, precision: 0.8721, predictive_accuracy: 0.8721, prior_entropy: 0.9924, relative_absolute_error: 0.4152, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.6107, unweighted_recall: 0.8689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8553, kappa: 0.7069, kb_relative_information_score: 0.5523, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8557, number_of_instances: 14980, precision: 0.8559, predictive_accuracy: 0.8557, prior_entropy: 0.9924, relative_absolute_error: 0.4811, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.65, unweighted_recall: 0.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.8828, kappa: 0.763, kb_relative_information_score: 0.6909, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.4948, weighted_recall: 0.883, number_of_instances: 14980, precision: 0.8829, predictive_accuracy: 0.883, prior_entropy: 0.9924, relative_absolute_error: 0.326, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.29, root_relative_squared_error: 0.5831, unweighted_recall: 0.8807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8451, kappa: 0.6862, kb_relative_information_score: 0.5042, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8458, number_of_instances: 14980, precision: 0.8463, predictive_accuracy: 0.8458, prior_entropy: 0.9924, relative_absolute_error: 0.5325, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.679, unweighted_recall: 0.8407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.8763, kappa: 0.7497, kb_relative_information_score: 0.6324, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8765, number_of_instances: 14980, precision: 0.8764, predictive_accuracy: 0.8765, prior_entropy: 0.9924, relative_absolute_error: 0.3944, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.6003, unweighted_recall: 0.8738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.8855, kappa: 0.7683, kb_relative_information_score: 0.6454, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8856, number_of_instances: 14980, precision: 0.8856, predictive_accuracy: 0.8856, prior_entropy: 0.9924, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.5839, unweighted_recall: 0.8832,

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

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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