OpenML
Supervised Classification on phoneme

Supervised Classification on phoneme

Task 9952 Supervised Classification phoneme 113807 runs submitted
0 likes downloaded by 3 people , 6 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_218 study_50 study_7 study_98 study_99
Issue #Downvotes for this reason By


Metric:

113807 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9111, kappa: 0.7849, kb_relative_information_score: 3562.1336, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9109, predictive_accuracy: 0.9114, prior_entropy: 0.8733, recall: 0.9114, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.258, root_relative_squared_error: 0.5666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9111, kappa: 0.7849, kb_relative_information_score: 3562.1336, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9109, predictive_accuracy: 0.9114, prior_entropy: 0.8733, recall: 0.9114, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.258, root_relative_squared_error: 0.5666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7398, kappa: 0.3553, kb_relative_information_score: 1282.8799, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7367, predictive_accuracy: 0.7496, prior_entropy: 0.8733, recall: 0.7496, relative_absolute_error: 0.7526, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.8635, kappa: 0.6671, kb_relative_information_score: 3206.6562, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8629, predictive_accuracy: 0.8653, prior_entropy: 0.8733, recall: 0.8653, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.344, root_relative_squared_error: 0.7555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.7868, kappa: 0.4856, kb_relative_information_score: 1360.259, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7867, predictive_accuracy: 0.787, prior_entropy: 0.8733, recall: 0.787, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8966, kappa: 0.7501, kb_relative_information_score: 3965.753, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8964, predictive_accuracy: 0.8969, prior_entropy: 0.8733, recall: 0.8969, relative_absolute_error: 0.246, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3018, root_relative_squared_error: 0.6627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8801, kappa: 0.7094, kb_relative_information_score: 3663.968, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8797, predictive_accuracy: 0.8808, prior_entropy: 0.8733, recall: 0.8808, relative_absolute_error: 0.3034, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8486, kappa: 0.6392, kb_relative_information_score: 2738.878, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8511, predictive_accuracy: 0.847, prior_entropy: 0.8733, recall: 0.847, relative_absolute_error: 0.4823, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.7344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.8489, kappa: 0.6392, kb_relative_information_score: 2761.4884, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8509, predictive_accuracy: 0.8475, prior_entropy: 0.8733, recall: 0.8475, relative_absolute_error: 0.4779, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.7331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.8464, kappa: 0.6385, kb_relative_information_score: 2842.8097, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8529, predictive_accuracy: 0.8434, prior_entropy: 0.8733, recall: 0.8434, relative_absolute_error: 0.4608, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.7231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8586, kappa: 0.6629, kb_relative_information_score: 2962.1619, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8609, predictive_accuracy: 0.8571, prior_entropy: 0.8733, recall: 0.8571, relative_absolute_error: 0.4399, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.7163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8586, kappa: 0.6629, kb_relative_information_score: 2962.1619, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8609, predictive_accuracy: 0.8571, prior_entropy: 0.8733, recall: 0.8571, relative_absolute_error: 0.4399, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.7163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.8828, kappa: 0.7163, kb_relative_information_score: 3739.2426, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8824, predictive_accuracy: 0.8832, prior_entropy: 0.8733, recall: 0.8832, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.7149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.8941, kappa: 0.743, kb_relative_information_score: 3927.1862, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8938, predictive_accuracy: 0.8949, prior_entropy: 0.8733, recall: 0.8949, relative_absolute_error: 0.2534, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.8716, kappa: 0.6886, kb_relative_information_score: 3610.1118, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8711, predictive_accuracy: 0.8723, prior_entropy: 0.8733, recall: 0.8723, relative_absolute_error: 0.3079, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.8909, kappa: 0.7363, kb_relative_information_score: 3875.2068, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8907, predictive_accuracy: 0.8912, prior_entropy: 0.8733, recall: 0.8912, relative_absolute_error: 0.2624, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.7244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.9057, kappa: 0.7706, kb_relative_information_score: 4090.9213, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9055, predictive_accuracy: 0.9066, prior_entropy: 0.8733, recall: 0.9066, relative_absolute_error: 0.2253, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.7331, kappa: 0.3362, kb_relative_information_score: 1829.8175, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7304, predictive_accuracy: 0.7456, prior_entropy: 0.8733, recall: 0.7456, relative_absolute_error: 0.6135, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.1077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.9052, kappa: 0.7708, kb_relative_information_score: 4075.3274, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.905, predictive_accuracy: 0.9054, prior_entropy: 0.8733, recall: 0.9054, relative_absolute_error: 0.228, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.7678, kappa: 0.4657, kb_relative_information_score: 2040.334, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.785, predictive_accuracy: 0.7605, prior_entropy: 0.8733, recall: 0.7605, relative_absolute_error: 0.5774, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4893, root_relative_squared_error: 1.0746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8636, kappa: 0.6713, kb_relative_information_score: 3101.0194, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8637, predictive_accuracy: 0.8634, prior_entropy: 0.8733, recall: 0.8634, relative_absolute_error: 0.4217, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.7633, kappa: 0.4525, kb_relative_information_score: 1970.8457, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7781, predictive_accuracy: 0.7565, prior_entropy: 0.8733, recall: 0.7565, relative_absolute_error: 0.5903, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4678, root_relative_squared_error: 1.0273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.7749, kappa: 0.4477, kb_relative_information_score: 1733.7298, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7726, predictive_accuracy: 0.7796, prior_entropy: 0.8733, recall: 0.7796, relative_absolute_error: 0.6702, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.384, root_relative_squared_error: 0.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8227, kappa: 0.5807, kb_relative_information_score: 2514.9646, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8279, predictive_accuracy: 0.8198, prior_entropy: 0.8733, recall: 0.8198, relative_absolute_error: 0.5173, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3509, root_relative_squared_error: 0.7707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.7678, kappa: 0.4657, kb_relative_information_score: 1554.5813, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.785, predictive_accuracy: 0.7605, prior_entropy: 0.8733, recall: 0.7605, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.9409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.7699, kappa: 0.461, kb_relative_information_score: 1245.5609, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7793, predictive_accuracy: 0.7648, prior_entropy: 0.8733, recall: 0.7648, relative_absolute_error: 0.7714, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.7749, kappa: 0.4547, kb_relative_information_score: 1376.7024, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.774, predictive_accuracy: 0.7761, prior_entropy: 0.8733, recall: 0.7761, relative_absolute_error: 0.751, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.7967, kappa: 0.4946, kb_relative_information_score: 1681.62, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7983, predictive_accuracy: 0.8059, prior_entropy: 0.8733, recall: 0.8059, relative_absolute_error: 0.7036, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.8469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.7603, kappa: 0.4471, kb_relative_information_score: 1119.1755, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7764, predictive_accuracy: 0.7531, prior_entropy: 0.8733, recall: 0.7531, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8468, kappa: 0.6288, kb_relative_information_score: 2935.684, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8462, predictive_accuracy: 0.8475, prior_entropy: 0.8733, recall: 0.8475, relative_absolute_error: 0.4511, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.7361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.87, kappa: 0.6856, kb_relative_information_score: 3481.1836, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8697, predictive_accuracy: 0.8703, prior_entropy: 0.8733, recall: 0.8703, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.7509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, f_measure: 0.7736, kappa: 0.4656, kb_relative_information_score: 1290.5267, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7801, predictive_accuracy: 0.7696, prior_entropy: 0.8733, recall: 0.7696, relative_absolute_error: 0.7647, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.7749, kappa: 0.4547, kb_relative_information_score: 1376.7024, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.774, predictive_accuracy: 0.7761, prior_entropy: 0.8733, recall: 0.7761, relative_absolute_error: 0.751, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, f_measure: 0.7736, kappa: 0.4656, kb_relative_information_score: 1290.5267, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7801, predictive_accuracy: 0.7696, prior_entropy: 0.8733, recall: 0.7696, relative_absolute_error: 0.7647, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8483, kappa: 0.6331, kb_relative_information_score: 2872.6648, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8479, predictive_accuracy: 0.8488, prior_entropy: 0.8733, recall: 0.8488, relative_absolute_error: 0.467, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.7333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8499, kappa: 0.6368, kb_relative_information_score: 2876.7046, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8495, predictive_accuracy: 0.8505, prior_entropy: 0.8733, recall: 0.8505, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.7322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.817, kappa: 0.5558, kb_relative_information_score: 2184.7113, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.816, predictive_accuracy: 0.8183, prior_entropy: 0.8733, recall: 0.8183, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.36, root_relative_squared_error: 0.7906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.8362, kappa: 0.6033, kb_relative_information_score: 2360.7641, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8356, predictive_accuracy: 0.837, prior_entropy: 0.8733, recall: 0.837, relative_absolute_error: 0.5734, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8294, kappa: 0.5877, kb_relative_information_score: 2275.6308, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.829, predictive_accuracy: 0.8298, prior_entropy: 0.8733, recall: 0.8298, relative_absolute_error: 0.5865, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3561, root_relative_squared_error: 0.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.856, kappa: 0.6497, kb_relative_information_score: 3031.6488, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8553, predictive_accuracy: 0.8573, prior_entropy: 0.8733, recall: 0.8573, relative_absolute_error: 0.4373, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.7432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, f_measure: 0.7736, kappa: 0.4656, kb_relative_information_score: 1290.5267, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7801, predictive_accuracy: 0.7696, prior_entropy: 0.8733, recall: 0.7696, relative_absolute_error: 0.7647, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.8093, kappa: 0.5329, kb_relative_information_score: 1949.4323, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8078, predictive_accuracy: 0.8127, prior_entropy: 0.8733, recall: 0.8127, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.8218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8335, kappa: 0.5956, kb_relative_information_score: 2390.7533, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8326, predictive_accuracy: 0.8348, prior_entropy: 0.8733, recall: 0.8348, relative_absolute_error: 0.5645, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8552, kappa: 0.6486, kb_relative_information_score: 3021.2107, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8546, predictive_accuracy: 0.8562, prior_entropy: 0.8733, recall: 0.8562, relative_absolute_error: 0.4375, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.7366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, f_measure: 0.8006, kappa: 0.5064, kb_relative_information_score: 1737.143, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8008, predictive_accuracy: 0.8079, prior_entropy: 0.8733, recall: 0.8079, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.8438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8262, kappa: 0.5786, kb_relative_information_score: 2280.2863, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8254, predictive_accuracy: 0.8272, prior_entropy: 0.8733, recall: 0.8272, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.8354, kappa: 0.6007, kb_relative_information_score: 2467.3456, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8346, predictive_accuracy: 0.8364, prior_entropy: 0.8733, recall: 0.8364, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3459, root_relative_squared_error: 0.7596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.7603, kappa: 0.4471, kb_relative_information_score: 1119.1755, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7764, predictive_accuracy: 0.7531, prior_entropy: 0.8733, recall: 0.7531, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.8346, kappa: 0.5985, kb_relative_information_score: 2531.4196, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8338, predictive_accuracy: 0.8359, prior_entropy: 0.8733, recall: 0.8359, relative_absolute_error: 0.5335, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.7603, kappa: 0.4471, kb_relative_information_score: 1119.1755, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7764, predictive_accuracy: 0.7531, prior_entropy: 0.8733, recall: 0.7531, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.8702, kappa: 0.6854, kb_relative_information_score: 3381.0257, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8697, predictive_accuracy: 0.8708, prior_entropy: 0.8733, recall: 0.8708, relative_absolute_error: 0.3632, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.7233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.817, kappa: 0.558, kb_relative_information_score: 2149.8188, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8167, predictive_accuracy: 0.8174, prior_entropy: 0.8733, recall: 0.8174, relative_absolute_error: 0.6048, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.775, kappa: 0.4601, kb_relative_information_score: 1331.5616, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7762, predictive_accuracy: 0.7739, prior_entropy: 0.8733, recall: 0.7739, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.8342, kappa: 0.5977, kb_relative_information_score: 2426.1767, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8334, predictive_accuracy: 0.8353, prior_entropy: 0.8733, recall: 0.8353, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.7661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.8342, kappa: 0.5972, kb_relative_information_score: 2541.5067, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8333, predictive_accuracy: 0.8355, prior_entropy: 0.8733, recall: 0.8355, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.8536, kappa: 0.6443, kb_relative_information_score: 3049.6244, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8529, predictive_accuracy: 0.8549, prior_entropy: 0.8733, recall: 0.8549, relative_absolute_error: 0.43, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.7368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.8485, kappa: 0.6329, kb_relative_information_score: 2713.0873, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8479, predictive_accuracy: 0.8494, prior_entropy: 0.8733, recall: 0.8494, relative_absolute_error: 0.5061, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.7484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, f_measure: 0.801, kappa: 0.5094, kb_relative_information_score: 1807.6454, mean_absolute_error: 0.2808, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8001, predictive_accuracy: 0.8068, prior_entropy: 0.8733, recall: 0.8068, relative_absolute_error: 0.677, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, f_measure: 0.8156, kappa: 0.5546, kb_relative_information_score: 2159.1991, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8153, predictive_accuracy: 0.8159, prior_entropy: 0.8733, recall: 0.8159, relative_absolute_error: 0.6031, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.775, kappa: 0.4601, kb_relative_information_score: 1331.5616, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7762, predictive_accuracy: 0.7739, prior_entropy: 0.8733, recall: 0.7739, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.817, kappa: 0.5558, kb_relative_information_score: 2184.7113, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.816, predictive_accuracy: 0.8183, prior_entropy: 0.8733, recall: 0.8183, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.36, root_relative_squared_error: 0.7906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.8409, kappa: 0.615, kb_relative_information_score: 2444.1955, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8404, predictive_accuracy: 0.8414, prior_entropy: 0.8733, recall: 0.8414, relative_absolute_error: 0.5604, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8482, kappa: 0.6327, kb_relative_information_score: 2872.0569, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8478, predictive_accuracy: 0.8488, prior_entropy: 0.8733, recall: 0.8488, relative_absolute_error: 0.4672, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.334, root_relative_squared_error: 0.7335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.7603, kappa: 0.4471, kb_relative_information_score: 1119.1755, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7764, predictive_accuracy: 0.7531, prior_entropy: 0.8733, recall: 0.7531, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.7603, kappa: 0.4471, kb_relative_information_score: 1119.1755, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7764, predictive_accuracy: 0.7531, prior_entropy: 0.8733, recall: 0.7531, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.8335, kappa: 0.596, kb_relative_information_score: 2401.7851, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8327, predictive_accuracy: 0.8346, prior_entropy: 0.8733, recall: 0.8346, relative_absolute_error: 0.5628, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.7737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.8342, kappa: 0.5972, kb_relative_information_score: 2541.5067, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8333, predictive_accuracy: 0.8355, prior_entropy: 0.8733, recall: 0.8355, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.8328, kappa: 0.5947, kb_relative_information_score: 2299.6807, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8321, predictive_accuracy: 0.8338, prior_entropy: 0.8733, recall: 0.8338, relative_absolute_error: 0.5838, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.849, kappa: 0.634, kb_relative_information_score: 2820.8328, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8484, predictive_accuracy: 0.8499, prior_entropy: 0.8733, recall: 0.8499, relative_absolute_error: 0.4801, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.7384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.7934, kappa: 0.4857, kb_relative_information_score: 1634.8695, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7957, predictive_accuracy: 0.8035, prior_entropy: 0.8733, recall: 0.8035, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.7603, kappa: 0.4471, kb_relative_information_score: 1119.1755, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7764, predictive_accuracy: 0.7531, prior_entropy: 0.8733, recall: 0.7531, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, f_measure: 0.8163, kappa: 0.5555, kb_relative_information_score: 2168.7627, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8157, predictive_accuracy: 0.817, prior_entropy: 0.8733, recall: 0.817, relative_absolute_error: 0.6011, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.7924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8499, kappa: 0.6368, kb_relative_information_score: 2876.7046, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8495, predictive_accuracy: 0.8505, prior_entropy: 0.8733, recall: 0.8505, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.7322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.8346, kappa: 0.5985, kb_relative_information_score: 2531.4196, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8338, predictive_accuracy: 0.8359, prior_entropy: 0.8733, recall: 0.8359, relative_absolute_error: 0.5335, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, f_measure: 0.8006, kappa: 0.5064, kb_relative_information_score: 1737.143, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8008, predictive_accuracy: 0.8079, prior_entropy: 0.8733, recall: 0.8079, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.8438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, f_measure: 0.7776, kappa: 0.453, kb_relative_information_score: 1453.5049, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7755, predictive_accuracy: 0.7831, prior_entropy: 0.8733, recall: 0.7831, relative_absolute_error: 0.7382, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.8667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8483, kappa: 0.6331, kb_relative_information_score: 2872.6648, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8479, predictive_accuracy: 0.8488, prior_entropy: 0.8733, recall: 0.8488, relative_absolute_error: 0.467, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.7333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.775, kappa: 0.4601, kb_relative_information_score: 1331.5616, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7762, predictive_accuracy: 0.7739, prior_entropy: 0.8733, recall: 0.7739, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.8342, kappa: 0.5972, kb_relative_information_score: 2541.5067, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8333, predictive_accuracy: 0.8355, prior_entropy: 0.8733, recall: 0.8355, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.8438, kappa: 0.6206, kb_relative_information_score: 2704.9474, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.843, predictive_accuracy: 0.8449, prior_entropy: 0.8733, recall: 0.8449, relative_absolute_error: 0.5004, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.7428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8471, kappa: 0.6297, kb_relative_information_score: 2629.4065, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8466, predictive_accuracy: 0.8479, prior_entropy: 0.8733, recall: 0.8479, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.7553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.8685, kappa: 0.6811, kb_relative_information_score: 3280.7251, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.868, predictive_accuracy: 0.8694, prior_entropy: 0.8733, recall: 0.8694, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.8433, kappa: 0.6207, kb_relative_information_score: 2483.1927, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8428, predictive_accuracy: 0.8438, prior_entropy: 0.8733, recall: 0.8438, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.7625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.7699, kappa: 0.461, kb_relative_information_score: 1245.5609, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7793, predictive_accuracy: 0.7648, prior_entropy: 0.8733, recall: 0.7648, relative_absolute_error: 0.7714, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.7603, kappa: 0.4471, kb_relative_information_score: 1119.1755, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7764, predictive_accuracy: 0.7531, prior_entropy: 0.8733, recall: 0.7531, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.7699, kappa: 0.461, kb_relative_information_score: 1245.5609, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7793, predictive_accuracy: 0.7648, prior_entropy: 0.8733, recall: 0.7648, relative_absolute_error: 0.7714, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.8453, kappa: 0.6262, kb_relative_information_score: 2536.0065, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.845, predictive_accuracy: 0.8457, prior_entropy: 0.8733, recall: 0.8457, relative_absolute_error: 0.5423, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.8378, kappa: 0.6065, kb_relative_information_score: 2465.9653, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.837, predictive_accuracy: 0.8388, prior_entropy: 0.8733, recall: 0.8388, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.7657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.7603, kappa: 0.4471, kb_relative_information_score: 1119.1755, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7764, predictive_accuracy: 0.7531, prior_entropy: 0.8733, recall: 0.7531, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.8432, kappa: 0.6195, kb_relative_information_score: 2693.0086, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8425, predictive_accuracy: 0.8444, prior_entropy: 0.8733, recall: 0.8444, relative_absolute_error: 0.5038, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.7441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.7603, kappa: 0.4471, kb_relative_information_score: 1119.1755, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7764, predictive_accuracy: 0.7531, prior_entropy: 0.8733, recall: 0.7531, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.8344, kappa: 0.5981, kb_relative_information_score: 2435.6063, mean_absolute_error: 0.2288, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8336, predictive_accuracy: 0.8355, prior_entropy: 0.8733, recall: 0.8355, relative_absolute_error: 0.5517, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.7623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.8171, kappa: 0.5565, kb_relative_information_score: 2178.488, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8163, predictive_accuracy: 0.8181, prior_entropy: 0.8733, recall: 0.8181, relative_absolute_error: 0.5999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.775, kappa: 0.4601, kb_relative_information_score: 1331.5616, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7762, predictive_accuracy: 0.7739, prior_entropy: 0.8733, recall: 0.7739, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.7918, kappa: 0.4809, kb_relative_information_score: 1624.951, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7947, predictive_accuracy: 0.8026, prior_entropy: 0.8733, recall: 0.8026, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.8497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.8344, kappa: 0.598, kb_relative_information_score: 2541.3736, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8336, predictive_accuracy: 0.8357, prior_entropy: 0.8733, recall: 0.8357, relative_absolute_error: 0.5309, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7713, f_measure: 0.782, kappa: 0.4569, kb_relative_information_score: 1562.9648, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7837, predictive_accuracy: 0.7929, prior_entropy: 0.8733, recall: 0.7929, relative_absolute_error: 0.7206, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.8572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8464, kappa: 0.6265, kb_relative_information_score: 2820.36, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8456, predictive_accuracy: 0.8479, prior_entropy: 0.8733, recall: 0.8479, relative_absolute_error: 0.4714, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.7371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.7603, kappa: 0.4471, kb_relative_information_score: 1119.1755, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7764, predictive_accuracy: 0.7531, prior_entropy: 0.8733, recall: 0.7531, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.8716, kappa: 0.6884, kb_relative_information_score: 3377.239, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8711, predictive_accuracy: 0.8725, prior_entropy: 0.8733, recall: 0.8725, relative_absolute_error: 0.3664, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.723,

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

OpenML bootcamp

From your own software

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

OpenML APIs