Task
Supervised Classification on eeg-eye-state

Supervised Classification on eeg-eye-state

Task 9983 Supervised Classification eeg-eye-state 94375 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_7
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94375 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.8358, kappa: 0.6677, kb_relative_information_score: 9716.3142, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8358, predictive_accuracy: 0.836, prior_entropy: 0.9924, recall: 0.836, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8125, kappa: 0.6203, kb_relative_information_score: 8428.2352, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8131, predictive_accuracy: 0.8132, prior_entropy: 0.9924, recall: 0.8132, relative_absolute_error: 0.4482, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.8325, kappa: 0.6611, kb_relative_information_score: 9493.9663, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8326, predictive_accuracy: 0.8328, prior_entropy: 0.9924, recall: 0.8328, relative_absolute_error: 0.3699, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.8402, kappa: 0.6769, kb_relative_information_score: 9970.5243, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8402, predictive_accuracy: 0.8404, prior_entropy: 0.9924, recall: 0.8404, relative_absolute_error: 0.3341, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.8443, kappa: 0.6848, kb_relative_information_score: 10238.2124, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8443, predictive_accuracy: 0.8445, prior_entropy: 0.9924, recall: 0.8445, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8279, kappa: 0.6517, kb_relative_information_score: 9190.8615, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8279, predictive_accuracy: 0.8282, prior_entropy: 0.9924, recall: 0.8282, relative_absolute_error: 0.3923, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.7293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8328, kappa: 0.6616, kb_relative_information_score: 9492.9906, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8328, predictive_accuracy: 0.833, prior_entropy: 0.9924, recall: 0.833, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.7491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8219, kappa: 0.6395, kb_relative_information_score: 8810.8594, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8221, predictive_accuracy: 0.8224, prior_entropy: 0.9924, recall: 0.8224, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.7301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.8183, kappa: 0.6322, kb_relative_information_score: 8736.6773, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8184, predictive_accuracy: 0.8186, prior_entropy: 0.9924, recall: 0.8186, relative_absolute_error: 0.4248, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.8415, kappa: 0.6795, kb_relative_information_score: 10038.8796, mean_absolute_error: 0.1629, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8415, predictive_accuracy: 0.8417, prior_entropy: 0.9924, recall: 0.8417, relative_absolute_error: 0.3294, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.8387, kappa: 0.6737, kb_relative_information_score: 9774.656, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8386, predictive_accuracy: 0.8388, prior_entropy: 0.9924, recall: 0.8388, relative_absolute_error: 0.3489, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.7436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.8184, kappa: 0.6325, kb_relative_information_score: 8744.4471, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8185, predictive_accuracy: 0.8188, prior_entropy: 0.9924, recall: 0.8188, relative_absolute_error: 0.4243, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8123, kappa: 0.6198, kb_relative_information_score: 8376.2925, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8128, predictive_accuracy: 0.813, prior_entropy: 0.9924, recall: 0.813, relative_absolute_error: 0.4523, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.7349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.829, kappa: 0.6538, kb_relative_information_score: 9034.2889, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8292, predictive_accuracy: 0.8294, prior_entropy: 0.9924, recall: 0.8294, relative_absolute_error: 0.4051, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.8255, kappa: 0.6468, kb_relative_information_score: 9078.4547, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8257, predictive_accuracy: 0.8259, prior_entropy: 0.9924, recall: 0.8259, relative_absolute_error: 0.4006, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.7265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8258, kappa: 0.6472, kb_relative_information_score: 8894.1649, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8262, predictive_accuracy: 0.8263, prior_entropy: 0.9924, recall: 0.8263, relative_absolute_error: 0.4149, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.8192, kappa: 0.6341, kb_relative_information_score: 8673.0824, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8193, predictive_accuracy: 0.8196, prior_entropy: 0.9924, recall: 0.8196, relative_absolute_error: 0.4307, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.7282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.8296, kappa: 0.6552, kb_relative_information_score: 9414.5032, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8296, predictive_accuracy: 0.8298, prior_entropy: 0.9924, recall: 0.8298, relative_absolute_error: 0.3754, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.8196, kappa: 0.6349, kb_relative_information_score: 8796.4408, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8196, predictive_accuracy: 0.8199, prior_entropy: 0.9924, recall: 0.8199, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.8384, kappa: 0.6731, kb_relative_information_score: 9737.6306, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8384, predictive_accuracy: 0.8387, prior_entropy: 0.9924, recall: 0.8387, relative_absolute_error: 0.3519, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8383, kappa: 0.6728, kb_relative_information_score: 9729.9831, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8382, predictive_accuracy: 0.8385, prior_entropy: 0.9924, recall: 0.8385, relative_absolute_error: 0.3525, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.7365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.8282, kappa: 0.6521, kb_relative_information_score: 9046.6879, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8284, predictive_accuracy: 0.8286, prior_entropy: 0.9924, recall: 0.8286, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8198, kappa: 0.6353, kb_relative_information_score: 8770.5187, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8199, predictive_accuracy: 0.8202, prior_entropy: 0.9924, recall: 0.8202, relative_absolute_error: 0.4227, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.8179, kappa: 0.6314, kb_relative_information_score: 8633.0679, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8181, predictive_accuracy: 0.8184, prior_entropy: 0.9924, recall: 0.8184, relative_absolute_error: 0.4334, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.8278, kappa: 0.6515, kb_relative_information_score: 9283.374, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8279, predictive_accuracy: 0.8282, prior_entropy: 0.9924, recall: 0.8282, relative_absolute_error: 0.3849, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.8396, kappa: 0.6755, kb_relative_information_score: 9815.0244, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8395, predictive_accuracy: 0.8397, prior_entropy: 0.9924, recall: 0.8397, relative_absolute_error: 0.3461, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.8343, kappa: 0.6649, kb_relative_information_score: 9616.0528, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8343, predictive_accuracy: 0.8344, prior_entropy: 0.9924, recall: 0.8344, relative_absolute_error: 0.3602, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.7441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8305, kappa: 0.6569, kb_relative_information_score: 9483.962, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8305, predictive_accuracy: 0.8308, prior_entropy: 0.9924, recall: 0.8308, relative_absolute_error: 0.3697, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.7345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8296, kappa: 0.655, kb_relative_information_score: 9153.6947, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8298, predictive_accuracy: 0.83, prior_entropy: 0.9924, recall: 0.83, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8283, kappa: 0.6525, kb_relative_information_score: 9165.9547, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8285, predictive_accuracy: 0.8287, prior_entropy: 0.9924, recall: 0.8287, relative_absolute_error: 0.3941, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.8443, kappa: 0.6852, kb_relative_information_score: 10173.8035, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8443, predictive_accuracy: 0.8444, prior_entropy: 0.9924, recall: 0.8444, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.383, root_relative_squared_error: 0.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.8172, kappa: 0.6299, kb_relative_information_score: 8561.1975, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8173, predictive_accuracy: 0.8176, prior_entropy: 0.9924, recall: 0.8176, relative_absolute_error: 0.4389, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.8382, kappa: 0.6727, kb_relative_information_score: 9845.7875, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8381, predictive_accuracy: 0.8383, prior_entropy: 0.9924, recall: 0.8383, relative_absolute_error: 0.3438, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8284, kappa: 0.6526, kb_relative_information_score: 9173.7157, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8285, predictive_accuracy: 0.8287, prior_entropy: 0.9924, recall: 0.8287, relative_absolute_error: 0.3935, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8206, kappa: 0.6368, kb_relative_information_score: 8900.2954, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8208, predictive_accuracy: 0.821, prior_entropy: 0.9924, recall: 0.821, relative_absolute_error: 0.4133, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.7295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.8229, kappa: 0.6415, kb_relative_information_score: 8975.6987, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.823, predictive_accuracy: 0.8232, prior_entropy: 0.9924, recall: 0.8232, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.8338, kappa: 0.6638, kb_relative_information_score: 9621.7811, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8337, predictive_accuracy: 0.8339, prior_entropy: 0.9924, recall: 0.8339, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.7422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.8395, kappa: 0.6754, kb_relative_information_score: 9895.3046, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8395, predictive_accuracy: 0.8397, prior_entropy: 0.9924, recall: 0.8397, relative_absolute_error: 0.3397, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.8373, kappa: 0.6708, kb_relative_information_score: 9689.9247, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8372, predictive_accuracy: 0.8374, prior_entropy: 0.9924, recall: 0.8374, relative_absolute_error: 0.3558, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.8308, kappa: 0.6578, kb_relative_information_score: 9420.6519, mean_absolute_error: 0.1856, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8308, predictive_accuracy: 0.831, prior_entropy: 0.9924, recall: 0.831, relative_absolute_error: 0.3752, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.7342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.829, kappa: 0.6538, kb_relative_information_score: 9122.1798, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8293, predictive_accuracy: 0.8294, prior_entropy: 0.9924, recall: 0.8294, relative_absolute_error: 0.3981, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.7276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.8285, kappa: 0.6528, kb_relative_information_score: 9161.5389, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8286, predictive_accuracy: 0.8288, prior_entropy: 0.9924, recall: 0.8288, relative_absolute_error: 0.3946, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.7286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8291, kappa: 0.654, kb_relative_information_score: 9042.9382, mean_absolute_error: 0.2001, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8293, predictive_accuracy: 0.8295, prior_entropy: 0.9924, recall: 0.8295, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.7259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8425, kappa: 0.6812, kb_relative_information_score: 10024.782, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8427, predictive_accuracy: 0.8429, prior_entropy: 0.9924, recall: 0.8429, relative_absolute_error: 0.331, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8191, kappa: 0.634, kb_relative_information_score: 8629.2366, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8192, predictive_accuracy: 0.8194, prior_entropy: 0.9924, recall: 0.8194, relative_absolute_error: 0.4342, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.7261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.8195, kappa: 0.6346, kb_relative_information_score: 8629.2748, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8195, predictive_accuracy: 0.8198, prior_entropy: 0.9924, recall: 0.8198, relative_absolute_error: 0.4343, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.8313, kappa: 0.6587, kb_relative_information_score: 9445.0327, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8313, predictive_accuracy: 0.8316, prior_entropy: 0.9924, recall: 0.8316, relative_absolute_error: 0.3736, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8183, kappa: 0.6323, kb_relative_information_score: 8703.8408, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8182, predictive_accuracy: 0.8185, prior_entropy: 0.9924, recall: 0.8185, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.8122, kappa: 0.6197, kb_relative_information_score: 8396.2031, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8128, predictive_accuracy: 0.8129, prior_entropy: 0.9924, recall: 0.8129, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.7342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8367, kappa: 0.6694, kb_relative_information_score: 9691.4318, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8367, predictive_accuracy: 0.8369, prior_entropy: 0.9924, recall: 0.8369, relative_absolute_error: 0.355, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8946, f_measure: 0.8194, kappa: 0.6346, kb_relative_information_score: 8636.2319, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8195, predictive_accuracy: 0.8198, prior_entropy: 0.9924, recall: 0.8198, relative_absolute_error: 0.4336, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8224, kappa: 0.6406, kb_relative_information_score: 8979.9253, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8225, predictive_accuracy: 0.8228, prior_entropy: 0.9924, recall: 0.8228, relative_absolute_error: 0.4074, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8205, kappa: 0.6366, kb_relative_information_score: 8901.0531, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8207, predictive_accuracy: 0.8209, prior_entropy: 0.9924, recall: 0.8209, relative_absolute_error: 0.4132, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.7293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.8205, kappa: 0.6366, kb_relative_information_score: 8819.2209, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8206, predictive_accuracy: 0.8208, prior_entropy: 0.9924, recall: 0.8208, relative_absolute_error: 0.4191, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.828, kappa: 0.6518, kb_relative_information_score: 9290.7264, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8281, predictive_accuracy: 0.8283, prior_entropy: 0.9924, recall: 0.8283, relative_absolute_error: 0.3846, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8192, kappa: 0.634, kb_relative_information_score: 8670.4298, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8192, predictive_accuracy: 0.8195, prior_entropy: 0.9924, recall: 0.8195, relative_absolute_error: 0.4308, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8332, kappa: 0.6624, kb_relative_information_score: 9584.4177, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8332, predictive_accuracy: 0.8334, prior_entropy: 0.9924, recall: 0.8334, relative_absolute_error: 0.3628, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.7364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.8174, kappa: 0.6303, kb_relative_information_score: 8615.5925, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8176, predictive_accuracy: 0.8178, prior_entropy: 0.9924, recall: 0.8178, relative_absolute_error: 0.4345, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.7333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.8319, kappa: 0.66, kb_relative_information_score: 9500.5858, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8318, predictive_accuracy: 0.832, prior_entropy: 0.9924, recall: 0.832, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8386, kappa: 0.6735, kb_relative_information_score: 9771.1398, mean_absolute_error: 0.1729, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8386, predictive_accuracy: 0.8389, prior_entropy: 0.9924, recall: 0.8389, relative_absolute_error: 0.3495, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.8208, kappa: 0.6373, kb_relative_information_score: 8813.4972, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8208, predictive_accuracy: 0.8211, prior_entropy: 0.9924, recall: 0.8211, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.829, kappa: 0.654, kb_relative_information_score: 9198.6231, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8291, predictive_accuracy: 0.8293, prior_entropy: 0.9924, recall: 0.8293, relative_absolute_error: 0.3921, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.7281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8373, kappa: 0.671, kb_relative_information_score: 9703.0964, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8373, predictive_accuracy: 0.8374, prior_entropy: 0.9924, recall: 0.8374, relative_absolute_error: 0.3547, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.7248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.841, kappa: 0.6782, kb_relative_information_score: 9969.3023, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8411, predictive_accuracy: 0.8413, prior_entropy: 0.9924, recall: 0.8413, relative_absolute_error: 0.3348, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.8351, kappa: 0.6663, kb_relative_information_score: 9719.6469, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8351, predictive_accuracy: 0.8353, prior_entropy: 0.9924, recall: 0.8353, relative_absolute_error: 0.3528, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8178, kappa: 0.6312, kb_relative_information_score: 8631.5749, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.818, predictive_accuracy: 0.8183, prior_entropy: 0.9924, recall: 0.8183, relative_absolute_error: 0.4335, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.7325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.8125, kappa: 0.6203, kb_relative_information_score: 8479.0811, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8129, predictive_accuracy: 0.8131, prior_entropy: 0.9924, recall: 0.8131, relative_absolute_error: 0.4443, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.7345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.8377, kappa: 0.6716, kb_relative_information_score: 9836.8883, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8378, predictive_accuracy: 0.838, prior_entropy: 0.9924, recall: 0.838, relative_absolute_error: 0.3442, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8285, kappa: 0.6528, kb_relative_information_score: 9183.2636, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8286, predictive_accuracy: 0.8288, prior_entropy: 0.9924, recall: 0.8288, relative_absolute_error: 0.393, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8181, kappa: 0.6318, kb_relative_information_score: 8621.0176, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8183, predictive_accuracy: 0.8186, prior_entropy: 0.9924, recall: 0.8186, relative_absolute_error: 0.4343, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.7329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.8298, kappa: 0.6554, kb_relative_information_score: 9272.2853, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8299, predictive_accuracy: 0.8301, prior_entropy: 0.9924, recall: 0.8301, relative_absolute_error: 0.3863, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8376, kappa: 0.6716, kb_relative_information_score: 9697.2157, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8376, predictive_accuracy: 0.8377, prior_entropy: 0.9924, recall: 0.8377, relative_absolute_error: 0.3553, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8298, kappa: 0.6554, kb_relative_information_score: 9264.2579, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8299, predictive_accuracy: 0.8301, prior_entropy: 0.9924, recall: 0.8301, relative_absolute_error: 0.3868, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.7286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.817, kappa: 0.6296, kb_relative_information_score: 8556.4984, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8172, predictive_accuracy: 0.8174, prior_entropy: 0.9924, recall: 0.8174, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8202, kappa: 0.6359, kb_relative_information_score: 8706.8911, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8204, predictive_accuracy: 0.8206, prior_entropy: 0.9924, recall: 0.8206, relative_absolute_error: 0.4281, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.7312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8371, kappa: 0.6704, kb_relative_information_score: 9704.7441, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.837, predictive_accuracy: 0.8372, prior_entropy: 0.9924, recall: 0.8372, relative_absolute_error: 0.3546, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.7248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.8188, kappa: 0.6332, kb_relative_information_score: 8756.8154, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8188, predictive_accuracy: 0.8191, prior_entropy: 0.9924, recall: 0.8191, relative_absolute_error: 0.4235, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.8141, kappa: 0.6235, kb_relative_information_score: 8565.2024, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8143, predictive_accuracy: 0.8146, prior_entropy: 0.9924, recall: 0.8146, relative_absolute_error: 0.438, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.8127, kappa: 0.6206, kb_relative_information_score: 8424.5612, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8132, predictive_accuracy: 0.8134, prior_entropy: 0.9924, recall: 0.8134, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.7349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8353, kappa: 0.6668, kb_relative_information_score: 9716.9811, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8353, predictive_accuracy: 0.8355, prior_entropy: 0.9924, recall: 0.8355, relative_absolute_error: 0.3529, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.8125, kappa: 0.6202, kb_relative_information_score: 8423.2929, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.813, predictive_accuracy: 0.8132, prior_entropy: 0.9924, recall: 0.8132, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.7345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.8331, kappa: 0.6623, kb_relative_information_score: 9557.2245, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8332, predictive_accuracy: 0.8334, prior_entropy: 0.9924, recall: 0.8334, relative_absolute_error: 0.3651, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.831, kappa: 0.658, kb_relative_information_score: 9427.2399, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.831, predictive_accuracy: 0.8312, prior_entropy: 0.9924, recall: 0.8312, relative_absolute_error: 0.3747, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8091, kappa: 0.6133, kb_relative_information_score: 8281.5247, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8096, predictive_accuracy: 0.8097, prior_entropy: 0.9924, recall: 0.8097, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8171, kappa: 0.6298, kb_relative_information_score: 8565.5672, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8172, predictive_accuracy: 0.8175, prior_entropy: 0.9924, recall: 0.8175, relative_absolute_error: 0.4386, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8358, kappa: 0.6675, kb_relative_information_score: 9568.8845, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.836, predictive_accuracy: 0.8362, prior_entropy: 0.9924, recall: 0.8362, relative_absolute_error: 0.3642, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.7342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.842, kappa: 0.6801, kb_relative_information_score: 10010.3382, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8422, predictive_accuracy: 0.8423, prior_entropy: 0.9924, recall: 0.8423, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.8461, kappa: 0.6888, kb_relative_information_score: 10285.1594, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.846, predictive_accuracy: 0.8461, prior_entropy: 0.9924, recall: 0.8461, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.7879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.8193, kappa: 0.6345, kb_relative_information_score: 8723.4397, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8193, predictive_accuracy: 0.8196, prior_entropy: 0.9924, recall: 0.8196, relative_absolute_error: 0.4267, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.8334, kappa: 0.6628, kb_relative_information_score: 9532.6222, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8334, predictive_accuracy: 0.8336, prior_entropy: 0.9924, recall: 0.8336, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8129, kappa: 0.621, kb_relative_information_score: 8430.7575, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8134, predictive_accuracy: 0.8136, prior_entropy: 0.9924, recall: 0.8136, relative_absolute_error: 0.4481, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.7345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.8373, kappa: 0.6708, kb_relative_information_score: 9704.4157, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8373, predictive_accuracy: 0.8375, prior_entropy: 0.9924, recall: 0.8375, relative_absolute_error: 0.3541, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.7386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.8304, kappa: 0.657, kb_relative_information_score: 9409.0482, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8304, predictive_accuracy: 0.8306, prior_entropy: 0.9924, recall: 0.8306, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.8129, kappa: 0.6211, kb_relative_information_score: 8486.3643, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8133, predictive_accuracy: 0.8135, prior_entropy: 0.9924, recall: 0.8135, relative_absolute_error: 0.4438, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.7345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8176, kappa: 0.6308, kb_relative_information_score: 8622.7035, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8179, predictive_accuracy: 0.8181, prior_entropy: 0.9924, recall: 0.8181, relative_absolute_error: 0.4341, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.8227, kappa: 0.641, kb_relative_information_score: 8971.5431, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8228, predictive_accuracy: 0.823, prior_entropy: 0.9924, recall: 0.823, relative_absolute_error: 0.408, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.7297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8261, kappa: 0.6478, kb_relative_information_score: 8919.1021, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8264, predictive_accuracy: 0.8266, prior_entropy: 0.9924, recall: 0.8266, relative_absolute_error: 0.4132, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.7297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.8287, kappa: 0.6533, kb_relative_information_score: 9252.3344, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8288, predictive_accuracy: 0.829, prior_entropy: 0.9924, recall: 0.829, relative_absolute_error: 0.3874, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.8303, kappa: 0.6566, kb_relative_information_score: 9411.528, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8303, predictive_accuracy: 0.8306, prior_entropy: 0.9924, recall: 0.8306, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.83, kappa: 0.6557, kb_relative_information_score: 9146.9278, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8302, predictive_accuracy: 0.8304, prior_entropy: 0.9924, recall: 0.8304, relative_absolute_error: 0.3966, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7258,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs