OpenML
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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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.8179, kappa: 0.6314, kb_relative_information_score: 8636.5203, mean_absolute_error: 0.2143, 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: 0.4331, 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: 0.9727, f_measure: 0.9113, kappa: 0.8204, kb_relative_information_score: 9171.406, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.912, predictive_accuracy: 0.9115, prior_entropy: 0.9924, recall: 0.9115, relative_absolute_error: 0.4295, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.8958, kappa: 0.7889, kb_relative_information_score: 8544.4928, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8969, predictive_accuracy: 0.8962, prior_entropy: 0.9924, recall: 0.8962, relative_absolute_error: 0.4733, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.5964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8338, kappa: 0.6636, kb_relative_information_score: 9565.8088, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8338, predictive_accuracy: 0.834, prior_entropy: 0.9924, recall: 0.834, relative_absolute_error: 0.3646, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.7232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.8094, kappa: 0.6139, kb_relative_information_score: 8282.0493, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8099, predictive_accuracy: 0.8101, prior_entropy: 0.9924, recall: 0.8101, relative_absolute_error: 0.4585, 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: 0.9777, f_measure: 0.9225, kappa: 0.8432, kb_relative_information_score: 10139.2011, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9229, predictive_accuracy: 0.9227, prior_entropy: 0.9924, recall: 0.9227, relative_absolute_error: 0.3584, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9206, kappa: 0.8392, kb_relative_information_score: 9578.8287, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9212, predictive_accuracy: 0.9208, prior_entropy: 0.9924, recall: 0.9208, relative_absolute_error: 0.4021, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.5364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9333, kappa: 0.865, kb_relative_information_score: 10503.0218, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9335, predictive_accuracy: 0.9334, prior_entropy: 0.9924, recall: 0.9334, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.244, root_relative_squared_error: 0.4905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9282, kappa: 0.8546, kb_relative_information_score: 9994.0181, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9287, predictive_accuracy: 0.9284, prior_entropy: 0.9924, recall: 0.9284, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.5115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.813, kappa: 0.6212, kb_relative_information_score: 8439.9888, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8135, predictive_accuracy: 0.8136, prior_entropy: 0.9924, recall: 0.8136, relative_absolute_error: 0.4475, 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: 0.8928, f_measure: 0.8193, kappa: 0.6343, kb_relative_information_score: 8699.4685, mean_absolute_error: 0.212, 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: 0.4284, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.8283, kappa: 0.6525, kb_relative_information_score: 9167.05, 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: 0.3622, root_relative_squared_error: 0.7283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8185, kappa: 0.6327, kb_relative_information_score: 8743.9515, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8186, predictive_accuracy: 0.8189, prior_entropy: 0.9924, recall: 0.8189, relative_absolute_error: 0.4244, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.7313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.8423, kappa: 0.6807, kb_relative_information_score: 10098.3788, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8427, predictive_accuracy: 0.8427, prior_entropy: 0.9924, recall: 0.8427, relative_absolute_error: 0.3244, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8289, kappa: 0.6537, kb_relative_information_score: 9214.705, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8289, predictive_accuracy: 0.8292, prior_entropy: 0.9924, recall: 0.8292, relative_absolute_error: 0.3906, 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: 0.8916, f_measure: 0.8302, kappa: 0.6563, kb_relative_information_score: 9291.9677, mean_absolute_error: 0.1905, 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: 0.3849, 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: 0.8767, f_measure: 0.8369, kappa: 0.67, kb_relative_information_score: 9811.019, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8369, predictive_accuracy: 0.8371, prior_entropy: 0.9924, recall: 0.8371, relative_absolute_error: 0.3457, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.8417, kappa: 0.6795, kb_relative_information_score: 9924.4015, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8419, predictive_accuracy: 0.8421, prior_entropy: 0.9924, recall: 0.8421, relative_absolute_error: 0.3377, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.842, kappa: 0.6803, kb_relative_information_score: 10032.5062, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8421, predictive_accuracy: 0.8423, prior_entropy: 0.9924, recall: 0.8423, relative_absolute_error: 0.3298, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.8911, kappa: 0.7794, kb_relative_information_score: 7866.2452, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8925, predictive_accuracy: 0.8916, prior_entropy: 0.9924, recall: 0.8916, relative_absolute_error: 0.5232, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3112, root_relative_squared_error: 0.6258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8335, kappa: 0.6632, kb_relative_information_score: 9609.8792, mean_absolute_error: 0.1785, 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: 0.3607, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.8691, kappa: 0.7349, kb_relative_information_score: 4141.2581, mean_absolute_error: 0.3808, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8706, predictive_accuracy: 0.8698, prior_entropy: 0.9924, recall: 0.8698, relative_absolute_error: 0.7698, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8842, kappa: 0.7653, kb_relative_information_score: 7148.3864, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8864, predictive_accuracy: 0.8848, prior_entropy: 0.9924, recall: 0.8848, relative_absolute_error: 0.5749, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.8383, kappa: 0.6728, kb_relative_information_score: 1983.4379, mean_absolute_error: 0.4446, 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: 0.8986, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.8341, kappa: 0.6637, kb_relative_information_score: 2717.5629, mean_absolute_error: 0.4232, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8367, predictive_accuracy: 0.8352, prior_entropy: 0.9924, recall: 0.8352, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.8714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9076, kappa: 0.8129, kb_relative_information_score: 8936.7948, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9086, predictive_accuracy: 0.9079, prior_entropy: 0.9924, recall: 0.9079, relative_absolute_error: 0.447, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.285, root_relative_squared_error: 0.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9322, kappa: 0.8627, kb_relative_information_score: 10238.5932, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9326, predictive_accuracy: 0.9323, prior_entropy: 0.9924, recall: 0.9323, relative_absolute_error: 0.3548, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.8276, kappa: 0.6511, kb_relative_information_score: 9154.1276, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8277, predictive_accuracy: 0.828, prior_entropy: 0.9924, recall: 0.828, relative_absolute_error: 0.3949, 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: 0.9645, f_measure: 0.8944, kappa: 0.7862, kb_relative_information_score: 8709.5006, mean_absolute_error: 0.2274, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8954, predictive_accuracy: 0.8948, prior_entropy: 0.9924, recall: 0.8948, relative_absolute_error: 0.4597, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.5933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9132, kappa: 0.8243, kb_relative_information_score: 9216.5866, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.914, predictive_accuracy: 0.9135, prior_entropy: 0.9924, recall: 0.9135, relative_absolute_error: 0.4271, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.5585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8279, kappa: 0.6517, kb_relative_information_score: 9160.4514, mean_absolute_error: 0.1952, 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: 0.3945, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.7287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.7451, kappa: 0.4841, kb_relative_information_score: 485.6596, mean_absolute_error: 0.4831, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7526, predictive_accuracy: 0.7493, prior_entropy: 0.9924, recall: 0.7493, relative_absolute_error: 0.9764, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.484, root_relative_squared_error: 0.9731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.833, kappa: 0.6616, kb_relative_information_score: 952.66, mean_absolute_error: 0.472, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8348, predictive_accuracy: 0.834, prior_entropy: 0.9924, recall: 0.834, relative_absolute_error: 0.954, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9531, kappa: 0.9051, kb_relative_information_score: 5139.5556, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9532, predictive_accuracy: 0.9531, prior_entropy: 0.9924, recall: 0.9531, relative_absolute_error: 0.7225, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.368, root_relative_squared_error: 0.7398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.894, kappa: 0.7853, kb_relative_information_score: 8153.6089, mean_absolute_error: 0.2484, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8954, predictive_accuracy: 0.8945, prior_entropy: 0.9924, recall: 0.8945, relative_absolute_error: 0.5021, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3049, root_relative_squared_error: 0.6131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.8129, kappa: 0.6212, kb_relative_information_score: 8479.7617, mean_absolute_error: 0.2198, 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: 0.4443, 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: 0.8932, f_measure: 0.8225, kappa: 0.6406, kb_relative_information_score: 8969.4524, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8226, predictive_accuracy: 0.8228, prior_entropy: 0.9924, recall: 0.8228, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9095, kappa: 0.8168, kb_relative_information_score: 9281.1087, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9101, predictive_accuracy: 0.9097, prior_entropy: 0.9924, recall: 0.9097, relative_absolute_error: 0.4211, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.5598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.8333, kappa: 0.6628, kb_relative_information_score: 9611.5043, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8333, predictive_accuracy: 0.8334, prior_entropy: 0.9924, recall: 0.8334, relative_absolute_error: 0.3602, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.37, root_relative_squared_error: 0.7439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9068, kappa: 0.8113, kb_relative_information_score: 8875.296, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9078, predictive_accuracy: 0.9071, prior_entropy: 0.9924, recall: 0.9071, relative_absolute_error: 0.4506, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.5778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.8258, kappa: 0.6473, kb_relative_information_score: 9084.2424, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.826, predictive_accuracy: 0.8262, prior_entropy: 0.9924, recall: 0.8262, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.7266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9232, kappa: 0.8446, kb_relative_information_score: 9563.4546, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9238, predictive_accuracy: 0.9234, prior_entropy: 0.9924, recall: 0.9234, relative_absolute_error: 0.4036, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.5365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.8695, kappa: 0.7356, kb_relative_information_score: 6034.9182, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.874, predictive_accuracy: 0.8707, prior_entropy: 0.9924, recall: 0.8707, relative_absolute_error: 0.6507, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.8897, kappa: 0.7766, kb_relative_information_score: 8974.6782, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8903, predictive_accuracy: 0.89, prior_entropy: 0.9924, recall: 0.89, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.5903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8229, kappa: 0.641, kb_relative_information_score: 2812.4424, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8263, predictive_accuracy: 0.8244, prior_entropy: 0.9924, recall: 0.8244, relative_absolute_error: 0.8493, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9418, kappa: 0.8822, kb_relative_information_score: 10408.7705, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9422, predictive_accuracy: 0.9419, prior_entropy: 0.9924, recall: 0.9419, relative_absolute_error: 0.3452, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.482,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9018, kappa: 0.8011, kb_relative_information_score: 7294.5528, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9038, predictive_accuracy: 0.9023, prior_entropy: 0.9924, recall: 0.9023, relative_absolute_error: 0.5685, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9116, kappa: 0.821, kb_relative_information_score: 8851.0357, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9125, predictive_accuracy: 0.9119, prior_entropy: 0.9924, recall: 0.9119, relative_absolute_error: 0.455, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9046, kappa: 0.8067, kb_relative_information_score: 8396.9382, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9057, predictive_accuracy: 0.9049, prior_entropy: 0.9924, recall: 0.9049, relative_absolute_error: 0.4875, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9313, kappa: 0.861, kb_relative_information_score: 9240.5468, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.932, predictive_accuracy: 0.9315, prior_entropy: 0.9924, recall: 0.9315, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.5394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.914, kappa: 0.8259, kb_relative_information_score: 9489.8763, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9148, predictive_accuracy: 0.9143, prior_entropy: 0.9924, recall: 0.9143, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9363, kappa: 0.871, kb_relative_information_score: 2473.853, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9363, predictive_accuracy: 0.9363, prior_entropy: 0.9924, recall: 0.9363, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9496, kappa: 0.8981, kb_relative_information_score: 2454.7336, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9497, predictive_accuracy: 0.9497, prior_entropy: 0.9924, recall: 0.9497, relative_absolute_error: 0.8793, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.8789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9035, kappa: 0.8046, kb_relative_information_score: 8817.7141, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9043, predictive_accuracy: 0.9038, prior_entropy: 0.9924, recall: 0.9038, relative_absolute_error: 0.4552, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.5812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8964, kappa: 0.7901, kb_relative_information_score: 8895.9156, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8973, predictive_accuracy: 0.8967, prior_entropy: 0.9924, recall: 0.8967, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9153, kappa: 0.8285, kb_relative_information_score: 9342.2422, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.916, predictive_accuracy: 0.9156, prior_entropy: 0.9924, recall: 0.9156, relative_absolute_error: 0.4183, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.5513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.8363, kappa: 0.6689, kb_relative_information_score: 9676.5454, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8362, predictive_accuracy: 0.8364, prior_entropy: 0.9924, recall: 0.8364, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.7267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -0.2097, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.8879, kappa: 0.7729, kb_relative_information_score: 8086.2583, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.889, predictive_accuracy: 0.8883, prior_entropy: 0.9924, recall: 0.8883, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.8936, kappa: 0.7845, kb_relative_information_score: 8381.675, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8946, predictive_accuracy: 0.894, prior_entropy: 0.9924, recall: 0.894, relative_absolute_error: 0.4846, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.6058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.8253, kappa: 0.6464, kb_relative_information_score: 9075.0688, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8255, predictive_accuracy: 0.8257, prior_entropy: 0.9924, recall: 0.8257, relative_absolute_error: 0.4007, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.7277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.8382, kappa: 0.6724, kb_relative_information_score: 9786.7203, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8384, predictive_accuracy: 0.8385, prior_entropy: 0.9924, recall: 0.8385, relative_absolute_error: 0.3481, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.7393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.873, kappa: 0.7429, kb_relative_information_score: 3818.105, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8732, predictive_accuracy: 0.8732, prior_entropy: 0.9924, recall: 0.8732, relative_absolute_error: 0.7964, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.8991, kappa: 0.7958, kb_relative_information_score: 9986.75, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8995, predictive_accuracy: 0.8993, prior_entropy: 0.9924, recall: 0.8993, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.5541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9004, kappa: 0.7983, kb_relative_information_score: 8810.7706, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9012, predictive_accuracy: 0.9007, prior_entropy: 0.9924, recall: 0.9007, relative_absolute_error: 0.4543, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.291, root_relative_squared_error: 0.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.845, kappa: 0.6867, kb_relative_information_score: 10237.3393, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.845, predictive_accuracy: 0.8451, prior_entropy: 0.9924, recall: 0.8451, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.7784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8292, kappa: 0.6544, kb_relative_information_score: 9221.4538, mean_absolute_error: 0.1932, 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: 0.3904, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.7333, kappa: 0.4606, kb_relative_information_score: 677.2683, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7416, predictive_accuracy: 0.7382, prior_entropy: 0.9924, recall: 0.7382, relative_absolute_error: 0.9673, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4799, root_relative_squared_error: 0.9648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.8374, kappa: 0.6712, kb_relative_information_score: 9657.6566, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8374, predictive_accuracy: 0.8376, prior_entropy: 0.9924, recall: 0.8376, relative_absolute_error: 0.3581, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.829, kappa: 0.6538, kb_relative_information_score: 9030.3645, mean_absolute_error: 0.2005, 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: 0.4052, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.833, kappa: 0.6619, kb_relative_information_score: 9483.6388, mean_absolute_error: 0.1835, 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: 0.3709, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.7232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.7975, kappa: 0.5896, kb_relative_information_score: 1322.0515, mean_absolute_error: 0.4623, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7991, predictive_accuracy: 0.7987, prior_entropy: 0.9924, recall: 0.7987, relative_absolute_error: 0.9345, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.893, kappa: 0.7833, kb_relative_information_score: 8223.6731, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8943, predictive_accuracy: 0.8935, prior_entropy: 0.9924, recall: 0.8935, relative_absolute_error: 0.4967, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.6109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.8324, kappa: 0.6608, kb_relative_information_score: 9497.8794, mean_absolute_error: 0.1827, 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: 0.3693, 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: 0.9658, f_measure: 0.9017, kappa: 0.8011, kb_relative_information_score: 10072.1249, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9021, predictive_accuracy: 0.9019, prior_entropy: 0.9924, recall: 0.9019, relative_absolute_error: 0.3555, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.5486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8299, kappa: 0.6557, kb_relative_information_score: 1286.3065, mean_absolute_error: 0.4632, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8301, predictive_accuracy: 0.8303, prior_entropy: 0.9924, recall: 0.8303, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.9361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8318, kappa: 0.6595, kb_relative_information_score: 1236.6865, mean_absolute_error: 0.4644, 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: 0.9387, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.9384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9084, kappa: 0.8144, kb_relative_information_score: 7635.5684, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9101, predictive_accuracy: 0.9088, prior_entropy: 0.9924, recall: 0.9088, relative_absolute_error: 0.5458, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.7985, kappa: 0.5925, kb_relative_information_score: 1954.8507, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7985, predictive_accuracy: 0.7987, prior_entropy: 0.9924, recall: 0.7987, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8192, kappa: 0.6336, kb_relative_information_score: 1397.6046, mean_absolute_error: 0.4599, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8217, predictive_accuracy: 0.8205, prior_entropy: 0.9924, recall: 0.8205, relative_absolute_error: 0.9296, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9, kappa: 0.7974, kb_relative_information_score: 8100.3018, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9012, predictive_accuracy: 0.9004, prior_entropy: 0.9924, recall: 0.9004, relative_absolute_error: 0.5085, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.6103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8225, kappa: 0.6407, kb_relative_information_score: 8978.5033, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8226, 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: 0.3627, root_relative_squared_error: 0.7293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9213, kappa: 0.8407, kb_relative_information_score: 10118.6086, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9218, predictive_accuracy: 0.9215, prior_entropy: 0.9924, recall: 0.9215, relative_absolute_error: 0.3592, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.5206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.8277, kappa: 0.6512, kb_relative_information_score: 9164.3524, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8278, predictive_accuracy: 0.828, prior_entropy: 0.9924, recall: 0.828, relative_absolute_error: 0.3942, 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: 0.9127, f_measure: 0.8309, kappa: 0.6575, kb_relative_information_score: 803.21, mean_absolute_error: 0.4754, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8321, predictive_accuracy: 0.8317, prior_entropy: 0.9924, recall: 0.8317, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.9582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7466, kappa: 0.488, kb_relative_information_score: 458.6326, mean_absolute_error: 0.4837, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7583, predictive_accuracy: 0.7521, prior_entropy: 0.9924, recall: 0.7521, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.923, kappa: 0.844, kb_relative_information_score: 9991.3244, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9236, predictive_accuracy: 0.9232, prior_entropy: 0.9924, recall: 0.9232, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.5212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9499, kappa: 0.8986, kb_relative_information_score: 7971.0867, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.95, predictive_accuracy: 0.9499, prior_entropy: 0.9924, recall: 0.9499, relative_absolute_error: 0.5307, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.5927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.8435, kappa: 0.6836, kb_relative_information_score: 10151.617, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8435, predictive_accuracy: 0.8436, prior_entropy: 0.9924, recall: 0.8436, relative_absolute_error: 0.3212, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.7626, kappa: 0.5191, kb_relative_information_score: -109.9973, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7636, predictive_accuracy: 0.764, prior_entropy: 0.9924, recall: 0.764, relative_absolute_error: 1.0046, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8357, kappa: 0.6676, kb_relative_information_score: 9602.0081, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8357, predictive_accuracy: 0.8359, prior_entropy: 0.9924, recall: 0.8359, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.8184, kappa: 0.6326, kb_relative_information_score: 8702.064, mean_absolute_error: 0.2118, 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: 0.428, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9264, kappa: 0.851, kb_relative_information_score: 9541.0231, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9269, predictive_accuracy: 0.9266, prior_entropy: 0.9924, recall: 0.9266, relative_absolute_error: 0.4069, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.5341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8647, kappa: 0.726, kb_relative_information_score: 8626.3134, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8654, predictive_accuracy: 0.8652, prior_entropy: 0.9924, recall: 0.8652, relative_absolute_error: 0.4556, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9245, kappa: 0.8471, kb_relative_information_score: 9576.6626, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9249, predictive_accuracy: 0.9246, prior_entropy: 0.9924, recall: 0.9246, relative_absolute_error: 0.4034, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.5341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.8304, kappa: 0.6568, kb_relative_information_score: 9361.6993, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8307, predictive_accuracy: 0.8308, prior_entropy: 0.9924, recall: 0.8308, relative_absolute_error: 0.3792, 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: 0.889, f_measure: 0.8097, kappa: 0.6146, kb_relative_information_score: 8287.6428, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8103, predictive_accuracy: 0.8104, prior_entropy: 0.9924, recall: 0.8104, relative_absolute_error: 0.4582, 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: 0.9789, f_measure: 0.9216, kappa: 0.8412, kb_relative_information_score: 9611.9585, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9221, predictive_accuracy: 0.9218, prior_entropy: 0.9924, recall: 0.9218, relative_absolute_error: 0.3999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.5342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.8839, kappa: 0.7649, kb_relative_information_score: 9134.1876, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8845, predictive_accuracy: 0.8842, prior_entropy: 0.9924, recall: 0.8842, relative_absolute_error: 0.4225, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.5937,

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