Task
Supervised Classification on cylinder-bands

Supervised Classification on cylinder-bands

Task 14968 Supervised Classification cylinder-bands 11439 runs submitted
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  • OpenML100 study_107 study_123 study_14
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.7471, kappa: 0.4801, kb_relative_information_score: 253.4378, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7468, predictive_accuracy: 0.7481, prior_entropy: 0.9826, recall: 0.7481, relative_absolute_error: 0.5274, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.9735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7758, f_measure: 0.7197, kappa: 0.4225, kb_relative_information_score: 191.444, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.72, predictive_accuracy: 0.7222, prior_entropy: 0.9826, recall: 0.7222, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.9058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, f_measure: 0.7224, kappa: 0.4287, kb_relative_information_score: 189.6677, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7222, predictive_accuracy: 0.7241, prior_entropy: 0.9826, recall: 0.7241, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.734, kappa: 0.4566, kb_relative_information_score: 241.5211, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7352, predictive_accuracy: 0.7333, prior_entropy: 0.9826, recall: 0.7333, relative_absolute_error: 0.552, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.7538, kappa: 0.4955, kb_relative_information_score: 245.6636, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7539, predictive_accuracy: 0.7537, prior_entropy: 0.9826, recall: 0.7537, relative_absolute_error: 0.5467, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.7391, kappa: 0.4658, kb_relative_information_score: 246.6753, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7394, predictive_accuracy: 0.7389, prior_entropy: 0.9826, recall: 0.7389, relative_absolute_error: 0.5405, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7585, kappa: 0.5036, kb_relative_information_score: 260.9739, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7582, predictive_accuracy: 0.7593, prior_entropy: 0.9826, recall: 0.7593, relative_absolute_error: 0.5159, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.7183, kappa: 0.4224, kb_relative_information_score: 210.2651, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7182, predictive_accuracy: 0.7185, prior_entropy: 0.9826, recall: 0.7185, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.7246, kappa: 0.4336, kb_relative_information_score: 220.6728, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7243, predictive_accuracy: 0.7259, prior_entropy: 0.9826, recall: 0.7259, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.9477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7641, f_measure: 0.7191, kappa: 0.4224, kb_relative_information_score: 220.3928, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7187, predictive_accuracy: 0.7204, prior_entropy: 0.9826, recall: 0.7204, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.7134, kappa: 0.4106, kb_relative_information_score: 200.353, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.713, predictive_accuracy: 0.7148, prior_entropy: 0.9826, recall: 0.7148, relative_absolute_error: 0.6344, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.447, root_relative_squared_error: 0.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.7224, kappa: 0.4287, kb_relative_information_score: 210.0377, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7222, predictive_accuracy: 0.7241, prior_entropy: 0.9826, recall: 0.7241, relative_absolute_error: 0.6137, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, f_measure: 0.7372, kappa: 0.4617, kb_relative_information_score: 242.1894, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7374, predictive_accuracy: 0.737, prior_entropy: 0.9826, recall: 0.737, relative_absolute_error: 0.5507, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7437, f_measure: 0.6955, kappa: 0.3728, kb_relative_information_score: 164.1545, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6954, predictive_accuracy: 0.6981, prior_entropy: 0.9826, recall: 0.6981, relative_absolute_error: 0.7006, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.734, kappa: 0.4566, kb_relative_information_score: 246.457, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7352, predictive_accuracy: 0.7333, prior_entropy: 0.9826, recall: 0.7333, relative_absolute_error: 0.541, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.426, root_relative_squared_error: 0.8625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7763, f_measure: 0.7158, kappa: 0.4162, kb_relative_information_score: 192.8602, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7154, predictive_accuracy: 0.7167, prior_entropy: 0.9826, recall: 0.7167, relative_absolute_error: 0.6488, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.753, kappa: 0.4925, kb_relative_information_score: 251.5996, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7527, predictive_accuracy: 0.7537, prior_entropy: 0.9826, recall: 0.7537, relative_absolute_error: 0.5324, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4507, root_relative_squared_error: 0.9124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.7193, kappa: 0.4231, kb_relative_information_score: 218.3314, mean_absolute_error: 0.2887, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7189, predictive_accuracy: 0.7204, prior_entropy: 0.9826, recall: 0.7204, relative_absolute_error: 0.5918, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.7388, kappa: 0.4623, kb_relative_information_score: 215.7535, mean_absolute_error: 0.2957, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.739, predictive_accuracy: 0.7407, prior_entropy: 0.9826, recall: 0.7407, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7707, f_measure: 0.7661, kappa: 0.5195, kb_relative_information_score: 276.8326, mean_absolute_error: 0.2359, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7658, predictive_accuracy: 0.7667, prior_entropy: 0.9826, recall: 0.7667, relative_absolute_error: 0.4835, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7338, kappa: 0.4554, kb_relative_information_score: 244.292, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7344, predictive_accuracy: 0.7333, prior_entropy: 0.9826, recall: 0.7333, relative_absolute_error: 0.5439, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, f_measure: 0.7487, kappa: 0.483, kb_relative_information_score: 255.3665, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7485, predictive_accuracy: 0.75, prior_entropy: 0.9826, recall: 0.75, relative_absolute_error: 0.5254, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7526, f_measure: 0.6992, kappa: 0.3805, kb_relative_information_score: 164.0301, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6992, predictive_accuracy: 0.7019, prior_entropy: 0.9826, recall: 0.7019, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.7228, kappa: 0.4288, kb_relative_information_score: 181.0638, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7238, predictive_accuracy: 0.7259, prior_entropy: 0.9826, recall: 0.7259, relative_absolute_error: 0.6746, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.442, root_relative_squared_error: 0.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7869, f_measure: 0.741, kappa: 0.4699, kb_relative_information_score: 234.4637, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7414, predictive_accuracy: 0.7407, prior_entropy: 0.9826, recall: 0.7407, relative_absolute_error: 0.564, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7451, f_measure: 0.6955, kappa: 0.3728, kb_relative_information_score: 160.4301, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6954, predictive_accuracy: 0.6981, prior_entropy: 0.9826, recall: 0.6981, relative_absolute_error: 0.71, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.702, kappa: 0.3869, kb_relative_information_score: 183.6674, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7016, predictive_accuracy: 0.7037, prior_entropy: 0.9826, recall: 0.7037, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.6958, kappa: 0.3736, kb_relative_information_score: 183.2265, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6956, predictive_accuracy: 0.6981, prior_entropy: 0.9826, recall: 0.6981, relative_absolute_error: 0.6637, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.6918, kappa: 0.3669, kb_relative_information_score: 178.7035, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6913, predictive_accuracy: 0.6926, prior_entropy: 0.9826, recall: 0.6926, relative_absolute_error: 0.6729, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, f_measure: 0.7226, kappa: 0.4294, kb_relative_information_score: 209.9085, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7223, predictive_accuracy: 0.7241, prior_entropy: 0.9826, recall: 0.7241, relative_absolute_error: 0.6141, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.7533, kappa: 0.4937, kb_relative_information_score: 254.4093, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7531, predictive_accuracy: 0.7537, prior_entropy: 0.9826, recall: 0.7537, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.443, root_relative_squared_error: 0.8968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.7234, kappa: 0.4302, kb_relative_information_score: 180.4168, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7238, predictive_accuracy: 0.7259, prior_entropy: 0.9826, recall: 0.7259, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.8973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7575, f_measure: 0.7285, kappa: 0.4457, kb_relative_information_score: 240.505, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7299, predictive_accuracy: 0.7278, prior_entropy: 0.9826, recall: 0.7278, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.9735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.7199, kappa: 0.4232, kb_relative_information_score: 189.5967, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7201, predictive_accuracy: 0.7222, prior_entropy: 0.9826, recall: 0.7222, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.7321, kappa: 0.4526, kb_relative_information_score: 220.9392, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7332, predictive_accuracy: 0.7315, prior_entropy: 0.9826, recall: 0.7315, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, f_measure: 0.7033, kappa: 0.3913, kb_relative_information_score: 193.5587, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.703, predictive_accuracy: 0.7037, prior_entropy: 0.9826, recall: 0.7037, relative_absolute_error: 0.6453, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.7338, kappa: 0.4554, kb_relative_information_score: 241.7195, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7344, predictive_accuracy: 0.7333, prior_entropy: 0.9826, recall: 0.7333, relative_absolute_error: 0.5504, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.8725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.7358, kappa: 0.4565, kb_relative_information_score: 233.3394, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7355, predictive_accuracy: 0.737, prior_entropy: 0.9826, recall: 0.737, relative_absolute_error: 0.5645, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.6916, kappa: 0.3662, kb_relative_information_score: 181.2597, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.691, predictive_accuracy: 0.6926, prior_entropy: 0.9826, recall: 0.6926, relative_absolute_error: 0.6682, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7817, f_measure: 0.7311, kappa: 0.4462, kb_relative_information_score: 217.6445, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7314, predictive_accuracy: 0.7333, prior_entropy: 0.9826, recall: 0.7333, relative_absolute_error: 0.6008, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.9105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7758, f_measure: 0.7132, kappa: 0.4099, kb_relative_information_score: 193.7024, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7128, predictive_accuracy: 0.7148, prior_entropy: 0.9826, recall: 0.7148, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.9117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7093, kappa: 0.4007, kb_relative_information_score: 183.5269, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7105, predictive_accuracy: 0.713, prior_entropy: 0.9826, recall: 0.713, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7686, f_measure: 0.6959, kappa: 0.3761, kb_relative_information_score: 189.7173, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6956, predictive_accuracy: 0.6963, prior_entropy: 0.9826, recall: 0.6963, relative_absolute_error: 0.6512, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4575, root_relative_squared_error: 0.9262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7652, f_measure: 0.7124, kappa: 0.4078, kb_relative_information_score: 180.6671, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7125, predictive_accuracy: 0.7148, prior_entropy: 0.9826, recall: 0.7148, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.7425, kappa: 0.4721, kb_relative_information_score: 243.2109, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7424, predictive_accuracy: 0.7426, prior_entropy: 0.9826, recall: 0.7426, relative_absolute_error: 0.5487, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, f_measure: 0.7251, kappa: 0.4337, kb_relative_information_score: 209.4928, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7257, predictive_accuracy: 0.7278, prior_entropy: 0.9826, recall: 0.7278, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.7282, kappa: 0.4437, kb_relative_information_score: 223.9508, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7287, predictive_accuracy: 0.7278, prior_entropy: 0.9826, recall: 0.7278, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.7812, kappa: 0.5511, kb_relative_information_score: 297.5739, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.781, predictive_accuracy: 0.7815, prior_entropy: 0.9826, recall: 0.7815, relative_absolute_error: 0.444, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.9404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, f_measure: 0.6995, kappa: 0.3812, kb_relative_information_score: 184.5057, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6993, predictive_accuracy: 0.7019, prior_entropy: 0.9826, recall: 0.7019, relative_absolute_error: 0.6622, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.7634, kappa: 0.5131, kb_relative_information_score: 268.8465, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7635, predictive_accuracy: 0.7648, prior_entropy: 0.9826, recall: 0.7648, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.47, root_relative_squared_error: 0.9516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, f_measure: 0.7228, kappa: 0.4288, kb_relative_information_score: 180.6921, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7238, predictive_accuracy: 0.7259, prior_entropy: 0.9826, recall: 0.7259, relative_absolute_error: 0.6754, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.442, root_relative_squared_error: 0.8949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.7268, kappa: 0.4384, kb_relative_information_score: 220.0606, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7264, predictive_accuracy: 0.7278, prior_entropy: 0.9826, recall: 0.7278, relative_absolute_error: 0.5927, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.6871, kappa: 0.3551, kb_relative_information_score: 163.4556, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6876, predictive_accuracy: 0.6907, prior_entropy: 0.9826, recall: 0.6907, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7422, kappa: 0.4709, kb_relative_information_score: 242.435, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7419, predictive_accuracy: 0.7426, prior_entropy: 0.9826, recall: 0.7426, relative_absolute_error: 0.5481, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7489, f_measure: 0.69, kappa: 0.3616, kb_relative_information_score: 166.9988, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6898, predictive_accuracy: 0.6926, prior_entropy: 0.9826, recall: 0.6926, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.7252, kappa: 0.4356, kb_relative_information_score: 193.8314, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7248, predictive_accuracy: 0.7259, prior_entropy: 0.9826, recall: 0.7259, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.9063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7699, f_measure: 0.7124, kappa: 0.4078, kb_relative_information_score: 182.7113, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7125, predictive_accuracy: 0.7148, prior_entropy: 0.9826, recall: 0.7148, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7688, f_measure: 0.7336, kappa: 0.4517, kb_relative_information_score: 224.7145, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7334, predictive_accuracy: 0.7352, prior_entropy: 0.9826, recall: 0.7352, relative_absolute_error: 0.582, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.7296, kappa: 0.4459, kb_relative_information_score: 237.526, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7296, predictive_accuracy: 0.7296, prior_entropy: 0.9826, recall: 0.7296, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7093, kappa: 0.4007, kb_relative_information_score: 182.7679, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7105, predictive_accuracy: 0.713, prior_entropy: 0.9826, recall: 0.713, relative_absolute_error: 0.6691, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, f_measure: 0.7358, kappa: 0.4565, kb_relative_information_score: 223.7044, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7355, predictive_accuracy: 0.737, prior_entropy: 0.9826, recall: 0.737, relative_absolute_error: 0.586, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.458, root_relative_squared_error: 0.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.6926, kappa: 0.3674, kb_relative_information_score: 168.2726, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6921, predictive_accuracy: 0.6944, prior_entropy: 0.9826, recall: 0.6944, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7781, f_measure: 0.7372, kappa: 0.4617, kb_relative_information_score: 227.3772, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7374, predictive_accuracy: 0.737, prior_entropy: 0.9826, recall: 0.737, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.7242, kappa: 0.4348, kb_relative_information_score: 238.4336, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7242, predictive_accuracy: 0.7241, prior_entropy: 0.9826, recall: 0.7241, relative_absolute_error: 0.5537, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7263, kappa: 0.4371, kb_relative_information_score: 193.8955, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7261, predictive_accuracy: 0.7278, prior_entropy: 0.9826, recall: 0.7278, relative_absolute_error: 0.6494, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, f_measure: 0.7272, kappa: 0.4397, kb_relative_information_score: 216.8896, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7268, predictive_accuracy: 0.7278, prior_entropy: 0.9826, recall: 0.7278, relative_absolute_error: 0.6015, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.7464, kappa: 0.4803, kb_relative_information_score: 246.4935, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7464, predictive_accuracy: 0.7463, prior_entropy: 0.9826, recall: 0.7463, relative_absolute_error: 0.5426, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.8813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.7503, kappa: 0.4891, kb_relative_information_score: 247.0936, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7508, predictive_accuracy: 0.75, prior_entropy: 0.9826, recall: 0.75, relative_absolute_error: 0.5429, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.8776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7748, f_measure: 0.7187, kappa: 0.4211, kb_relative_information_score: 203.7226, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7184, predictive_accuracy: 0.7204, prior_entropy: 0.9826, recall: 0.7204, relative_absolute_error: 0.6265, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.7407, kappa: 0.4686, kb_relative_information_score: 226.26, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7407, predictive_accuracy: 0.7407, prior_entropy: 0.9826, recall: 0.7407, relative_absolute_error: 0.5854, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.8774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.7197, kappa: 0.4245, kb_relative_information_score: 193.3481, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7194, predictive_accuracy: 0.7204, prior_entropy: 0.9826, recall: 0.7204, relative_absolute_error: 0.648, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.728, kappa: 0.443, kb_relative_information_score: 227.6795, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7283, predictive_accuracy: 0.7278, prior_entropy: 0.9826, recall: 0.7278, relative_absolute_error: 0.5782, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.8937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7847, f_measure: 0.7769, kappa: 0.5413, kb_relative_information_score: 272.1218, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7767, predictive_accuracy: 0.7778, prior_entropy: 0.9826, recall: 0.7778, relative_absolute_error: 0.4988, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.9049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7723, f_measure: 0.7455, kappa: 0.4772, kb_relative_information_score: 255.8303, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7452, predictive_accuracy: 0.7463, prior_entropy: 0.9826, recall: 0.7463, relative_absolute_error: 0.5225, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.7197, kappa: 0.4245, kb_relative_information_score: 214.3573, mean_absolute_error: 0.2922, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7194, predictive_accuracy: 0.7204, prior_entropy: 0.9826, recall: 0.7204, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7518, f_measure: 0.6894, kappa: 0.3612, kb_relative_information_score: 166.8586, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6888, predictive_accuracy: 0.6907, prior_entropy: 0.9826, recall: 0.6907, relative_absolute_error: 0.6956, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.7152, kappa: 0.4141, kb_relative_information_score: 199.8874, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7148, predictive_accuracy: 0.7167, prior_entropy: 0.9826, recall: 0.7167, relative_absolute_error: 0.6351, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4466, root_relative_squared_error: 0.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.7171, kappa: 0.4183, kb_relative_information_score: 202.3163, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7168, predictive_accuracy: 0.7185, prior_entropy: 0.9826, recall: 0.7185, relative_absolute_error: 0.6313, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.445, root_relative_squared_error: 0.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7266, kappa: 0.4377, kb_relative_information_score: 226.4465, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7262, predictive_accuracy: 0.7278, prior_entropy: 0.9826, recall: 0.7278, relative_absolute_error: 0.579, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.7514, kappa: 0.4896, kb_relative_information_score: 262.6326, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7511, predictive_accuracy: 0.7519, prior_entropy: 0.9826, recall: 0.7519, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.9362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.6915, kappa: 0.3644, kb_relative_information_score: 160.7441, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6915, predictive_accuracy: 0.6944, prior_entropy: 0.9826, recall: 0.6944, relative_absolute_error: 0.7091, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.7303, kappa: 0.4454, kb_relative_information_score: 224.2211, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7299, predictive_accuracy: 0.7315, prior_entropy: 0.9826, recall: 0.7315, relative_absolute_error: 0.5861, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, f_measure: 0.7245, kappa: 0.4361, kb_relative_information_score: 215.5654, mean_absolute_error: 0.2938, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.725, predictive_accuracy: 0.7241, prior_entropy: 0.9826, recall: 0.7241, relative_absolute_error: 0.6021, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.9005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.7488, kappa: 0.4868, kb_relative_information_score: 237.3598, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.75, predictive_accuracy: 0.7481, prior_entropy: 0.9826, recall: 0.7481, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.7251, kappa: 0.4337, kb_relative_information_score: 209.2725, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7257, predictive_accuracy: 0.7278, prior_entropy: 0.9826, recall: 0.7278, relative_absolute_error: 0.6176, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.7281, kappa: 0.4406, kb_relative_information_score: 222.2877, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7279, predictive_accuracy: 0.7296, prior_entropy: 0.9826, recall: 0.7296, relative_absolute_error: 0.5895, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.9081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7878, f_measure: 0.7269, kappa: 0.4372, kb_relative_information_score: 212.4515, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7276, predictive_accuracy: 0.7296, prior_entropy: 0.9826, recall: 0.7296, relative_absolute_error: 0.6119, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.8967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, f_measure: 0.7399, kappa: 0.4655, kb_relative_information_score: 218.8199, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7395, predictive_accuracy: 0.7407, prior_entropy: 0.9826, recall: 0.7407, relative_absolute_error: 0.5968, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7757, f_measure: 0.7099, kappa: 0.4037, kb_relative_information_score: 192.7818, mean_absolute_error: 0.3158, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7095, predictive_accuracy: 0.7111, prior_entropy: 0.9826, recall: 0.7111, relative_absolute_error: 0.6471, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.7205, kappa: 0.4272, kb_relative_information_score: 215.0134, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7205, predictive_accuracy: 0.7204, prior_entropy: 0.9826, recall: 0.7204, relative_absolute_error: 0.6057, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.8904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.7365, kappa: 0.4591, kb_relative_information_score: 233.1287, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7362, predictive_accuracy: 0.737, prior_entropy: 0.9826, recall: 0.737, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7825, f_measure: 0.7788, kappa: 0.5454, kb_relative_information_score: 275.4066, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7787, predictive_accuracy: 0.7796, prior_entropy: 0.9826, recall: 0.7796, relative_absolute_error: 0.4933, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4468, root_relative_squared_error: 0.9047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7471, f_measure: 0.6938, kappa: 0.3693, kb_relative_information_score: 160.9403, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6936, predictive_accuracy: 0.6963, prior_entropy: 0.9826, recall: 0.6963, relative_absolute_error: 0.7085, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, f_measure: 0.7565, kappa: 0.4995, kb_relative_information_score: 271.1084, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7563, predictive_accuracy: 0.7574, prior_entropy: 0.9826, recall: 0.7574, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.7329, kappa: 0.4498, kb_relative_information_score: 221.2674, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7333, predictive_accuracy: 0.7352, prior_entropy: 0.9826, recall: 0.7352, relative_absolute_error: 0.5933, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4484, root_relative_squared_error: 0.9079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.7385, kappa: 0.4632, kb_relative_information_score: 250.3697, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7382, predictive_accuracy: 0.7389, prior_entropy: 0.9826, recall: 0.7389, relative_absolute_error: 0.5321, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.7142, kappa: 0.4113, kb_relative_information_score: 184.1873, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7144, predictive_accuracy: 0.7167, prior_entropy: 0.9826, recall: 0.7167, relative_absolute_error: 0.6675, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.9059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.7359, kappa: 0.4607, kb_relative_information_score: 239.276, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7373, predictive_accuracy: 0.7352, prior_entropy: 0.9826, recall: 0.7352, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.7499, kappa: 0.4873, kb_relative_information_score: 252.7578, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7499, predictive_accuracy: 0.75, prior_entropy: 0.9826, recall: 0.75, relative_absolute_error: 0.5309, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.7206, kappa: 0.4252, kb_relative_information_score: 208.4043, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7204, predictive_accuracy: 0.7222, prior_entropy: 0.9826, recall: 0.7222, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.918,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

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

OpenML APIs