Task
Supervised Classification on eeg-eye-state

Supervised Classification on eeg-eye-state

Task 9983 Supervised Classification eeg-eye-state 97291 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_7
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97291 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.8939, kappa: 0.7851, kb_relative_information_score: 8820.5985, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8947, predictive_accuracy: 0.8943, prior_entropy: 0.9924, recall: 0.8943, relative_absolute_error: 0.4512, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8286, kappa: 0.6531, kb_relative_information_score: 9208.3777, mean_absolute_error: 0.1935, 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: 0.3912, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.8886, kappa: 0.7743, kb_relative_information_score: 8330.0027, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8896, predictive_accuracy: 0.889, prior_entropy: 0.9924, recall: 0.889, relative_absolute_error: 0.4872, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3044, root_relative_squared_error: 0.6121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9476, kappa: 0.894, kb_relative_information_score: 8690.3044, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9477, predictive_accuracy: 0.9477, prior_entropy: 0.9924, recall: 0.9477, relative_absolute_error: 0.4802, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.5528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9674, kappa: 0.934, kb_relative_information_score: 1601.2948, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9675, predictive_accuracy: 0.9674, prior_entropy: 0.9924, recall: 0.9674, relative_absolute_error: 0.9244, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.458, root_relative_squared_error: 0.9208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8142, kappa: 0.6237, kb_relative_information_score: 8567.0441, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8145, predictive_accuracy: 0.8147, prior_entropy: 0.9924, recall: 0.8147, relative_absolute_error: 0.438, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9121, kappa: 0.8219, kb_relative_information_score: 8613.6619, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.913, predictive_accuracy: 0.9123, prior_entropy: 0.9924, recall: 0.9123, relative_absolute_error: 0.4733, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.5817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.8829, kappa: 0.7627, kb_relative_information_score: 6654.1326, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8864, predictive_accuracy: 0.8838, prior_entropy: 0.9924, recall: 0.8838, relative_absolute_error: 0.6105, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.6779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9511, kappa: 0.9011, kb_relative_information_score: 12729.5482, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9514, predictive_accuracy: 0.9512, prior_entropy: 0.9924, recall: 0.9512, relative_absolute_error: 0.1636, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9072, kappa: 0.812, kb_relative_information_score: 8822.6117, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.908, predictive_accuracy: 0.9075, prior_entropy: 0.9924, recall: 0.9075, relative_absolute_error: 0.4555, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.5792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8972, kappa: 0.7917, kb_relative_information_score: 8809.8133, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8979, predictive_accuracy: 0.8975, prior_entropy: 0.9924, recall: 0.8975, relative_absolute_error: 0.453, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9074, kappa: 0.8125, kb_relative_information_score: 7995.2886, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9087, predictive_accuracy: 0.9078, prior_entropy: 0.9924, recall: 0.9078, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.6108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.8954, kappa: 0.788, kb_relative_information_score: 7187.0346, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8977, predictive_accuracy: 0.896, prior_entropy: 0.9924, recall: 0.896, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.6499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7335, f_measure: 0.6625, kappa: 0.3204, kb_relative_information_score: 504.9186, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6757, predictive_accuracy: 0.6726, prior_entropy: 0.9924, recall: 0.6726, relative_absolute_error: 0.9758, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4844, root_relative_squared_error: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9178, kappa: 0.8335, kb_relative_information_score: 9882.8296, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9183, predictive_accuracy: 0.918, prior_entropy: 0.9924, recall: 0.918, relative_absolute_error: 0.3764, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.5317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8385, kappa: 0.6732, kb_relative_information_score: 9728.7326, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8385, predictive_accuracy: 0.8387, prior_entropy: 0.9924, recall: 0.8387, relative_absolute_error: 0.3526, 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: 0.8891, f_measure: 0.8095, kappa: 0.6142, kb_relative_information_score: 8284.6214, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8101, predictive_accuracy: 0.8102, prior_entropy: 0.9924, recall: 0.8102, relative_absolute_error: 0.4584, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.8125, kappa: 0.6203, kb_relative_information_score: 8379.911, mean_absolute_error: 0.2237, 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: 0.4521, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.7351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9315, kappa: 0.8615, kb_relative_information_score: 2988.7537, mean_absolute_error: 0.4179, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9316, predictive_accuracy: 0.9316, prior_entropy: 0.9924, recall: 0.9316, relative_absolute_error: 0.8447, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.8547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8252, kappa: 0.6461, kb_relative_information_score: 9069.0589, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8253, predictive_accuracy: 0.8256, prior_entropy: 0.9924, recall: 0.8256, relative_absolute_error: 0.401, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8148, kappa: 0.6251, kb_relative_information_score: 2493.8728, mean_absolute_error: 0.4301, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.815, predictive_accuracy: 0.8153, prior_entropy: 0.9924, recall: 0.8153, relative_absolute_error: 0.8693, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.8342, kappa: 0.6646, kb_relative_information_score: 9587.3845, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8343, predictive_accuracy: 0.8345, prior_entropy: 0.9924, recall: 0.8345, relative_absolute_error: 0.3626, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.8136, kappa: 0.6225, kb_relative_information_score: 8493.0638, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8139, predictive_accuracy: 0.8142, prior_entropy: 0.9924, recall: 0.8142, relative_absolute_error: 0.4435, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.8672, kappa: 0.7309, kb_relative_information_score: 5985.3621, mean_absolute_error: 0.3234, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8722, predictive_accuracy: 0.8685, prior_entropy: 0.9924, recall: 0.8685, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.7756, kappa: 0.5452, kb_relative_information_score: 636.8717, mean_absolute_error: 0.4792, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7785, predictive_accuracy: 0.7776, prior_entropy: 0.9924, recall: 0.7776, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.9663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.8661, kappa: 0.7292, kb_relative_information_score: 2210.1194, mean_absolute_error: 0.4384, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8661, predictive_accuracy: 0.8662, prior_entropy: 0.9924, recall: 0.8662, relative_absolute_error: 0.8862, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.8922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.8299, kappa: 0.656, kb_relative_information_score: 9412.1966, mean_absolute_error: 0.1857, 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: 0.3754, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.365, root_relative_squared_error: 0.7339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8291, kappa: 0.6541, kb_relative_information_score: 9315.7741, mean_absolute_error: 0.1895, 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: 0.383, 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: 0.8915, f_measure: 0.8253, kappa: 0.6462, kb_relative_information_score: 8897.5492, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8257, predictive_accuracy: 0.8258, prior_entropy: 0.9924, recall: 0.8258, relative_absolute_error: 0.4145, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8096, kappa: 0.6144, kb_relative_information_score: 8282.1795, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8101, predictive_accuracy: 0.8103, prior_entropy: 0.9924, recall: 0.8103, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.8329, kappa: 0.6618, kb_relative_information_score: 9545.6819, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8331, predictive_accuracy: 0.8333, prior_entropy: 0.9924, recall: 0.8333, relative_absolute_error: 0.3656, 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: 0.8936, f_measure: 0.821, kappa: 0.6377, kb_relative_information_score: 8908.3039, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8212, predictive_accuracy: 0.8214, prior_entropy: 0.9924, recall: 0.8214, relative_absolute_error: 0.4127, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.8132, kappa: 0.6217, kb_relative_information_score: 8492.6038, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8136, predictive_accuracy: 0.8138, prior_entropy: 0.9924, recall: 0.8138, relative_absolute_error: 0.4434, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.834, kappa: 0.6641, kb_relative_information_score: 9514.6145, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8342, predictive_accuracy: 0.8344, prior_entropy: 0.9924, recall: 0.8344, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8321, kappa: 0.6601, kb_relative_information_score: 9490.8558, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8322, predictive_accuracy: 0.8324, prior_entropy: 0.9924, recall: 0.8324, relative_absolute_error: 0.3698, 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: 0.8773, f_measure: 0.8426, kappa: 0.6814, kb_relative_information_score: 10037.3954, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8428, predictive_accuracy: 0.8429, prior_entropy: 0.9924, recall: 0.8429, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.7394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9362, kappa: 0.8709, kb_relative_information_score: 12030.1865, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9364, predictive_accuracy: 0.9363, prior_entropy: 0.9924, recall: 0.9363, relative_absolute_error: 0.2141, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9332, kappa: 0.8649, kb_relative_information_score: 7964.3842, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9334, predictive_accuracy: 0.9333, prior_entropy: 0.9924, recall: 0.9333, relative_absolute_error: 0.5222, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.6108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9379, kappa: 0.8745, kb_relative_information_score: 755.5353, mean_absolute_error: 0.4772, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9379, predictive_accuracy: 0.9379, prior_entropy: 0.9924, recall: 0.9379, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.8137, kappa: 0.6228, kb_relative_information_score: 8564.4645, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.814, predictive_accuracy: 0.8142, prior_entropy: 0.9924, recall: 0.8142, relative_absolute_error: 0.438, 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: 0.9504, f_measure: 0.8802, kappa: 0.7573, kb_relative_information_score: 3955.3081, mean_absolute_error: 0.3868, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8812, predictive_accuracy: 0.8806, prior_entropy: 0.9924, recall: 0.8806, relative_absolute_error: 0.7817, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.8921, kappa: 0.7815, kb_relative_information_score: 8379.9864, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8931, predictive_accuracy: 0.8925, prior_entropy: 0.9924, recall: 0.8925, relative_absolute_error: 0.4844, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8509, kappa: 0.6984, kb_relative_information_score: 2545.4966, mean_absolute_error: 0.429, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8509, predictive_accuracy: 0.8511, prior_entropy: 0.9924, recall: 0.8511, relative_absolute_error: 0.867, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.436, root_relative_squared_error: 0.8765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, f_measure: 0.6986, kappa: 0.3967, kb_relative_information_score: -144.1213, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7043, predictive_accuracy: 0.6979, prior_entropy: 0.9924, recall: 0.6979, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8372, kappa: 0.6703, kb_relative_information_score: 9782.346, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8375, predictive_accuracy: 0.8376, prior_entropy: 0.9924, recall: 0.8376, relative_absolute_error: 0.3477, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.8442, kappa: 0.6851, kb_relative_information_score: 10242.609, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8442, predictive_accuracy: 0.8443, prior_entropy: 0.9924, recall: 0.8443, relative_absolute_error: 0.3148, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.7935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.8309, kappa: 0.6578, kb_relative_information_score: 9407.9186, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8309, predictive_accuracy: 0.8311, prior_entropy: 0.9924, recall: 0.8311, relative_absolute_error: 0.3762, 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: 0.9722, f_measure: 0.9091, kappa: 0.816, kb_relative_information_score: 8845.7883, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9099, predictive_accuracy: 0.9094, prior_entropy: 0.9924, recall: 0.9094, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.5756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9033, kappa: 0.8042, kb_relative_information_score: 8273.5333, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9046, predictive_accuracy: 0.9037, prior_entropy: 0.9924, recall: 0.9037, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.6009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.8827, kappa: 0.7625, kb_relative_information_score: 8571.381, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8835, predictive_accuracy: 0.8831, prior_entropy: 0.9924, recall: 0.8831, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.6103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9192, kappa: 0.8364, kb_relative_information_score: 9552.5665, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9197, predictive_accuracy: 0.9194, prior_entropy: 0.9924, recall: 0.9194, relative_absolute_error: 0.4033, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9214, kappa: 0.8408, kb_relative_information_score: 9571.3805, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9219, predictive_accuracy: 0.9216, prior_entropy: 0.9924, recall: 0.9216, relative_absolute_error: 0.402, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.268, root_relative_squared_error: 0.5389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.8866, kappa: 0.7702, kb_relative_information_score: 7626.55, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8881, predictive_accuracy: 0.8871, prior_entropy: 0.9924, recall: 0.8871, relative_absolute_error: 0.5395, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8927, kappa: 0.7827, kb_relative_information_score: 8489.6535, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8937, predictive_accuracy: 0.8931, prior_entropy: 0.9924, recall: 0.8931, relative_absolute_error: 0.476, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.6028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9184, kappa: 0.8348, kb_relative_information_score: 10265.2116, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9188, predictive_accuracy: 0.9186, prior_entropy: 0.9924, recall: 0.9186, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.5199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.8191, kappa: 0.6338, kb_relative_information_score: 8760.7527, mean_absolute_error: 0.2094, 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: 0.4233, 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: 0.8934, f_measure: 0.8187, kappa: 0.6332, kb_relative_information_score: 8706.6156, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8187, predictive_accuracy: 0.819, prior_entropy: 0.9924, recall: 0.819, relative_absolute_error: 0.4277, 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: 0.9944, f_measure: 0.9644, kappa: 0.928, kb_relative_information_score: 2660.2454, mean_absolute_error: 0.4306, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9645, predictive_accuracy: 0.9644, prior_entropy: 0.9924, recall: 0.9644, relative_absolute_error: 0.8704, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.8684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.8949, kappa: 0.7872, kb_relative_information_score: 1393.4671, mean_absolute_error: 0.4609, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8954, predictive_accuracy: 0.8952, prior_entropy: 0.9924, recall: 0.8952, relative_absolute_error: 0.9317, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4628, root_relative_squared_error: 0.9306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.8628, kappa: 0.722, kb_relative_information_score: 5807.6244, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8678, predictive_accuracy: 0.8642, prior_entropy: 0.9924, recall: 0.8642, relative_absolute_error: 0.665, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.7237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9248, kappa: 0.8477, kb_relative_information_score: 9683.5712, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9253, predictive_accuracy: 0.925, prior_entropy: 0.9924, recall: 0.925, relative_absolute_error: 0.3963, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.262, root_relative_squared_error: 0.5267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9064, kappa: 0.8105, kb_relative_information_score: 8932.6176, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9073, predictive_accuracy: 0.9067, prior_entropy: 0.9924, recall: 0.9067, relative_absolute_error: 0.447, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.5739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.8286, kappa: 0.6533, kb_relative_information_score: 9308.2048, mean_absolute_error: 0.1896, 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: 0.3832, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8283, kappa: 0.6524, kb_relative_information_score: 9165.7637, mean_absolute_error: 0.1951, 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: 0.3943, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.7283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8396, kappa: 0.6756, kb_relative_information_score: 9695.3874, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8396, predictive_accuracy: 0.8398, prior_entropy: 0.9924, recall: 0.8398, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9195, kappa: 0.837, kb_relative_information_score: 9005.9955, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9203, predictive_accuracy: 0.9198, prior_entropy: 0.9924, recall: 0.9198, relative_absolute_error: 0.446, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.5597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.7692, kappa: 0.5334, kb_relative_information_score: 299.7245, mean_absolute_error: 0.4875, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7808, predictive_accuracy: 0.7739, prior_entropy: 0.9924, recall: 0.7739, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9582, kappa: 0.9155, kb_relative_information_score: 2467.7366, mean_absolute_error: 0.4353, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9584, predictive_accuracy: 0.9583, prior_entropy: 0.9924, recall: 0.9583, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.8782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.8122, kappa: 0.6197, kb_relative_information_score: 8381.5291, mean_absolute_error: 0.2236, 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: 0.4519, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.8859, kappa: 0.7691, kb_relative_information_score: 3268.5275, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.886, predictive_accuracy: 0.886, prior_entropy: 0.9924, recall: 0.886, relative_absolute_error: 0.8268, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.8407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.8304, kappa: 0.6566, kb_relative_information_score: 9279.4325, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8305, predictive_accuracy: 0.8307, prior_entropy: 0.9924, recall: 0.8307, relative_absolute_error: 0.3857, 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: 0.9911, f_measure: 0.9544, kappa: 0.9078, kb_relative_information_score: 1659.9855, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9546, predictive_accuracy: 0.9545, prior_entropy: 0.9924, recall: 0.9545, relative_absolute_error: 0.9207, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9216, kappa: 0.8413, kb_relative_information_score: 9384.0781, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9222, predictive_accuracy: 0.9218, prior_entropy: 0.9924, recall: 0.9218, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.27, root_relative_squared_error: 0.5429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9291, kappa: 0.8564, kb_relative_information_score: 9526.0199, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9297, predictive_accuracy: 0.9292, prior_entropy: 0.9924, recall: 0.9292, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.5289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.8198, kappa: 0.6351, kb_relative_information_score: 8695.9129, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.82, predictive_accuracy: 0.8202, prior_entropy: 0.9924, recall: 0.8202, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8211, kappa: 0.6378, kb_relative_information_score: 8901.1613, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8213, predictive_accuracy: 0.8215, prior_entropy: 0.9924, recall: 0.8215, relative_absolute_error: 0.4134, 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: 0.9726, f_measure: 0.9228, kappa: 0.844, kb_relative_information_score: 492.6171, mean_absolute_error: 0.483, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9229, predictive_accuracy: 0.9229, prior_entropy: 0.9924, recall: 0.9229, relative_absolute_error: 0.9763, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4835, root_relative_squared_error: 0.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.8437, kappa: 0.684, kb_relative_information_score: 10226.3643, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8437, predictive_accuracy: 0.8437, prior_entropy: 0.9924, recall: 0.8437, relative_absolute_error: 0.3159, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.7948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.8334, kappa: 0.6629, kb_relative_information_score: 9550.9199, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8335, predictive_accuracy: 0.8337, prior_entropy: 0.9924, recall: 0.8337, relative_absolute_error: 0.3656, 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: 0.8877, f_measure: 0.8314, kappa: 0.6589, kb_relative_information_score: 9438.8617, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8314, predictive_accuracy: 0.8316, prior_entropy: 0.9924, recall: 0.8316, relative_absolute_error: 0.3738, 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: 0.9731, f_measure: 0.9106, kappa: 0.819, kb_relative_information_score: 8789.4475, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9114, predictive_accuracy: 0.9109, prior_entropy: 0.9924, recall: 0.9109, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.5768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.7636, kappa: 0.5224, kb_relative_information_score: 2181.674, mean_absolute_error: 0.438, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7761, predictive_accuracy: 0.7688, prior_entropy: 0.9924, recall: 0.7688, relative_absolute_error: 0.8852, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4468, root_relative_squared_error: 0.8982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.7904, kappa: 0.5758, kb_relative_information_score: 2164.638, mean_absolute_error: 0.4392, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7905, predictive_accuracy: 0.7909, prior_entropy: 0.9924, recall: 0.7909, relative_absolute_error: 0.8877, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.8963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9178, kappa: 0.8337, kb_relative_information_score: 7916.3909, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9179, predictive_accuracy: 0.9179, prior_entropy: 0.9924, recall: 0.9179, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.6226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9271, kappa: 0.8526, kb_relative_information_score: 11682.4859, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9273, predictive_accuracy: 0.9272, prior_entropy: 0.9924, recall: 0.9272, relative_absolute_error: 0.2378, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.4762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.8996, kappa: 0.7966, kb_relative_information_score: 8102.751, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9009, predictive_accuracy: 0.9, prior_entropy: 0.9924, recall: 0.9, relative_absolute_error: 0.5079, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9379, kappa: 0.8744, kb_relative_information_score: 12279.881, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9381, predictive_accuracy: 0.938, prior_entropy: 0.9924, recall: 0.938, relative_absolute_error: 0.1941, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9003, kappa: 0.798, kb_relative_information_score: 8662.946, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9012, predictive_accuracy: 0.9006, prior_entropy: 0.9924, recall: 0.9006, relative_absolute_error: 0.4653, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.294, root_relative_squared_error: 0.5911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9049, kappa: 0.8074, kb_relative_information_score: 8677.5126, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9057, predictive_accuracy: 0.9052, prior_entropy: 0.9924, recall: 0.9052, relative_absolute_error: 0.4663, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.5853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.9011, kappa: 0.7997, kb_relative_information_score: 1363.3238, mean_absolute_error: 0.4618, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9017, predictive_accuracy: 0.9013, prior_entropy: 0.9924, recall: 0.9013, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9056, kappa: 0.8088, kb_relative_information_score: 8180.331, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9067, predictive_accuracy: 0.9059, prior_entropy: 0.9924, recall: 0.9059, relative_absolute_error: 0.5038, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.6048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.813, kappa: 0.6214, kb_relative_information_score: 8544.5695, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8133, predictive_accuracy: 0.8136, prior_entropy: 0.9924, recall: 0.8136, relative_absolute_error: 0.4393, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9643, kappa: 0.9277, kb_relative_information_score: 11602.7539, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9644, predictive_accuracy: 0.9643, prior_entropy: 0.9924, recall: 0.9643, relative_absolute_error: 0.2632, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.3889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, f_measure: 0.6442, kappa: 0.2978, kb_relative_information_score: 6.7533, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6864, predictive_accuracy: 0.6673, prior_entropy: 0.9924, recall: 0.6673, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4946, root_relative_squared_error: 0.9944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9134, kappa: 0.8246, kb_relative_information_score: 9875.1974, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.914, predictive_accuracy: 0.9136, prior_entropy: 0.9924, recall: 0.9136, relative_absolute_error: 0.3749, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2682, root_relative_squared_error: 0.5391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9404, kappa: 0.8795, kb_relative_information_score: 2522.7803, mean_absolute_error: 0.4325, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9404, predictive_accuracy: 0.9405, prior_entropy: 0.9924, recall: 0.9405, relative_absolute_error: 0.8741, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8166, kappa: 0.6287, kb_relative_information_score: 8550.3837, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8167, predictive_accuracy: 0.817, prior_entropy: 0.9924, recall: 0.817, relative_absolute_error: 0.4397, 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: 0.8485, f_measure: 0.7615, kappa: 0.5184, kb_relative_information_score: 298.6328, mean_absolute_error: 0.4875, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7751, predictive_accuracy: 0.767, prior_entropy: 0.9924, recall: 0.767, relative_absolute_error: 0.9853, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.488, root_relative_squared_error: 0.9811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.8308, kappa: 0.6575, kb_relative_information_score: 9428.7585, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8309, predictive_accuracy: 0.8311, prior_entropy: 0.9924, recall: 0.8311, relative_absolute_error: 0.3742, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.7351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8137, kappa: 0.6227, kb_relative_information_score: 8503.6049, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8141, predictive_accuracy: 0.8143, prior_entropy: 0.9924, recall: 0.8143, relative_absolute_error: 0.4427, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.7333,

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