OpenML
Supervised Classification on autoUniv-au7-700

Supervised Classification on autoUniv-au7-700

Task 9905 Supervised Classification autoUniv-au7-700 568 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6826, f_measure: 0.4752, kappa: 0.2197, kb_relative_information_score: 141.8263, mean_absolute_error: 0.3856, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4737, predictive_accuracy: 0.48, prior_entropy: 1.5824, recall: 0.48, relative_absolute_error: 0.8692, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.9442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.4861, kappa: 0.2443, kb_relative_information_score: 165.8501, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4809, predictive_accuracy: 0.4971, prior_entropy: 1.5824, recall: 0.4971, relative_absolute_error: 0.8413, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6777, f_measure: 0.4822, kappa: 0.2373, kb_relative_information_score: 163.5094, mean_absolute_error: 0.3745, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4771, predictive_accuracy: 0.4929, prior_entropy: 1.5824, recall: 0.4929, relative_absolute_error: 0.8442, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.9458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6007, f_measure: 0.4457, kappa: 0.1581, kb_relative_information_score: 99.6116, mean_absolute_error: 0.4043, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4896, predictive_accuracy: 0.4371, prior_entropy: 1.5824, recall: 0.4371, relative_absolute_error: 0.9113, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6083, f_measure: 0.4011, kappa: 0.2042, kb_relative_information_score: 114.8154, mean_absolute_error: 0.3976, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.477, predictive_accuracy: 0.4571, prior_entropy: 1.5824, recall: 0.4571, relative_absolute_error: 0.8962, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.447, root_relative_squared_error: 0.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.495, kappa: 0.2426, kb_relative_information_score: 202.1101, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4945, predictive_accuracy: 0.4957, prior_entropy: 1.5824, recall: 0.4957, relative_absolute_error: 0.783, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4906, root_relative_squared_error: 1.0416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6754, f_measure: 0.4964, kappa: 0.2467, kb_relative_information_score: 199.5295, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4947, predictive_accuracy: 0.4986, prior_entropy: 1.5824, recall: 0.4986, relative_absolute_error: 0.7896, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4908, root_relative_squared_error: 1.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6093, f_measure: 0.4387, kappa: 0.1791, kb_relative_information_score: 107.5747, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4864, predictive_accuracy: 0.4457, prior_entropy: 1.5824, recall: 0.4457, relative_absolute_error: 0.9032, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, f_measure: 0.4729, kappa: 0.2285, kb_relative_information_score: 161.6997, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4691, predictive_accuracy: 0.4857, prior_entropy: 1.5824, recall: 0.4857, relative_absolute_error: 0.8451, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.5046, kappa: 0.2585, kb_relative_information_score: 202.1503, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5047, predictive_accuracy: 0.5057, prior_entropy: 1.5824, recall: 0.5057, relative_absolute_error: 0.7864, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4908, root_relative_squared_error: 1.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7018, f_measure: 0.5279, kappa: 0.2903, kb_relative_information_score: 212.3463, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.529, predictive_accuracy: 0.5271, prior_entropy: 1.5824, recall: 0.5271, relative_absolute_error: 0.7736, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5755, f_measure: 0.3516, kappa: 0.1331, kb_relative_information_score: 85.6239, mean_absolute_error: 0.4098, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.3869, predictive_accuracy: 0.4357, prior_entropy: 1.5824, recall: 0.4357, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6119, f_measure: 0.4127, kappa: 0.1933, kb_relative_information_score: 116.5793, mean_absolute_error: 0.3971, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4719, predictive_accuracy: 0.4514, prior_entropy: 1.5824, recall: 0.4514, relative_absolute_error: 0.8949, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.9503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6826, f_measure: 0.4752, kappa: 0.2197, kb_relative_information_score: 141.8263, mean_absolute_error: 0.3856, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4737, predictive_accuracy: 0.48, prior_entropy: 1.5824, recall: 0.48, relative_absolute_error: 0.8692, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.9442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6815, f_measure: 0.4752, kappa: 0.223, kb_relative_information_score: 141.5448, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4752, predictive_accuracy: 0.4814, prior_entropy: 1.5824, recall: 0.4814, relative_absolute_error: 0.8696, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.9443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6119, f_measure: 0.4127, kappa: 0.1933, kb_relative_information_score: 116.5793, mean_absolute_error: 0.3971, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4719, predictive_accuracy: 0.4514, prior_entropy: 1.5824, recall: 0.4514, relative_absolute_error: 0.8949, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.9503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.5154, kappa: 0.2743, kb_relative_information_score: 188.6038, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.514, predictive_accuracy: 0.5171, prior_entropy: 1.5824, recall: 0.5171, relative_absolute_error: 0.8067, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.5246, kappa: 0.2864, kb_relative_information_score: 195.7757, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5257, predictive_accuracy: 0.5243, prior_entropy: 1.5824, recall: 0.5243, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.9246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5755, f_measure: 0.3516, kappa: 0.1331, kb_relative_information_score: 85.6239, mean_absolute_error: 0.4098, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.3869, predictive_accuracy: 0.4357, prior_entropy: 1.5824, recall: 0.4357, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.4925, kappa: 0.2508, kb_relative_information_score: 177.5026, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4904, predictive_accuracy: 0.5, prior_entropy: 1.5824, recall: 0.5, relative_absolute_error: 0.8208, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.9319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.5149, kappa: 0.2763, kb_relative_information_score: 190.4309, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5151, predictive_accuracy: 0.5171, prior_entropy: 1.5824, recall: 0.5171, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6679, f_measure: 0.4841, kappa: 0.2394, kb_relative_information_score: 150.6794, mean_absolute_error: 0.3818, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4926, predictive_accuracy: 0.49, prior_entropy: 1.5824, recall: 0.49, relative_absolute_error: 0.8606, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.9348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.5036, kappa: 0.2575, kb_relative_information_score: 178.0251, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.502, predictive_accuracy: 0.5057, prior_entropy: 1.5824, recall: 0.5057, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.4895, kappa: 0.254, kb_relative_information_score: 165.1204, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.486, predictive_accuracy: 0.5029, prior_entropy: 1.5824, recall: 0.5029, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.9419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.5143, kappa: 0.2749, kb_relative_information_score: 180.2187, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5124, predictive_accuracy: 0.5171, prior_entropy: 1.5824, recall: 0.5171, relative_absolute_error: 0.8178, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6258, f_measure: 0.4953, kappa: 0.2428, kb_relative_information_score: 202.8897, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4951, predictive_accuracy: 0.4957, prior_entropy: 1.5824, recall: 0.4957, relative_absolute_error: 0.7837, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.5414, root_relative_squared_error: 1.1495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.4774, kappa: 0.2359, kb_relative_information_score: 167.4197, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4743, predictive_accuracy: 0.49, prior_entropy: 1.5824, recall: 0.49, relative_absolute_error: 0.8359, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6826, f_measure: 0.4752, kappa: 0.2197, kb_relative_information_score: 141.8263, mean_absolute_error: 0.3856, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4737, predictive_accuracy: 0.48, prior_entropy: 1.5824, recall: 0.48, relative_absolute_error: 0.8692, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.9442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.4847, kappa: 0.2481, kb_relative_information_score: 167.5793, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.48, predictive_accuracy: 0.4986, prior_entropy: 1.5824, recall: 0.4986, relative_absolute_error: 0.8389, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6738, f_measure: 0.4517, kappa: 0.1995, kb_relative_information_score: 140.2071, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4524, predictive_accuracy: 0.4643, prior_entropy: 1.5824, recall: 0.4643, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.9454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6777, f_measure: 0.4822, kappa: 0.2373, kb_relative_information_score: 163.5094, mean_absolute_error: 0.3745, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4771, predictive_accuracy: 0.4929, prior_entropy: 1.5824, recall: 0.4929, relative_absolute_error: 0.8442, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.9458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.4888, kappa: 0.2543, kb_relative_information_score: 165.237, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4855, predictive_accuracy: 0.5029, prior_entropy: 1.5824, recall: 0.5029, relative_absolute_error: 0.8424, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.9404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6862, f_measure: 0.4962, kappa: 0.2406, kb_relative_information_score: 175.7868, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4986, predictive_accuracy: 0.4943, prior_entropy: 1.5824, recall: 0.4943, relative_absolute_error: 0.822, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.458, root_relative_squared_error: 0.9725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.5242, kappa: 0.2867, kb_relative_information_score: 196.3835, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5254, predictive_accuracy: 0.5243, prior_entropy: 1.5824, recall: 0.5243, relative_absolute_error: 0.7943, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.9289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6217, f_measure: 0.494, kappa: 0.2384, kb_relative_information_score: 210.2281, mean_absolute_error: 0.3409, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4954, predictive_accuracy: 0.4929, prior_entropy: 1.5824, recall: 0.4929, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.5626, root_relative_squared_error: 1.1946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, f_measure: 0.4729, kappa: 0.2285, kb_relative_information_score: 161.6997, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4691, predictive_accuracy: 0.4857, prior_entropy: 1.5824, recall: 0.4857, relative_absolute_error: 0.8451, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.5155, kappa: 0.2738, kb_relative_information_score: 209.3798, mean_absolute_error: 0.3452, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5166, predictive_accuracy: 0.5157, prior_entropy: 1.5824, recall: 0.5157, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.486, root_relative_squared_error: 1.0319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6826, f_measure: 0.4752, kappa: 0.2197, kb_relative_information_score: 141.8263, mean_absolute_error: 0.3856, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4737, predictive_accuracy: 0.48, prior_entropy: 1.5824, recall: 0.48, relative_absolute_error: 0.8692, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.9442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.5094, kappa: 0.2659, kb_relative_information_score: 185.2909, mean_absolute_error: 0.3597, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5078, predictive_accuracy: 0.5114, prior_entropy: 1.5824, recall: 0.5114, relative_absolute_error: 0.8107, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5755, f_measure: 0.3516, kappa: 0.1331, kb_relative_information_score: 85.6239, mean_absolute_error: 0.4098, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.3869, predictive_accuracy: 0.4357, prior_entropy: 1.5824, recall: 0.4357, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.5036, kappa: 0.2575, kb_relative_information_score: 178.0251, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.502, predictive_accuracy: 0.5057, prior_entropy: 1.5824, recall: 0.5057, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.4934, kappa: 0.2403, kb_relative_information_score: 202.1428, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4926, predictive_accuracy: 0.4943, prior_entropy: 1.5824, recall: 0.4943, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4951, root_relative_squared_error: 1.0511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.5084, kappa: 0.2576, kb_relative_information_score: 195.6513, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5118, predictive_accuracy: 0.5057, prior_entropy: 1.5824, recall: 0.5057, relative_absolute_error: 0.7926, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.4895, kappa: 0.254, kb_relative_information_score: 165.1204, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.486, predictive_accuracy: 0.5029, prior_entropy: 1.5824, recall: 0.5029, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.9419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6787, f_measure: 0.4959, kappa: 0.2448, kb_relative_information_score: 202.0192, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4951, predictive_accuracy: 0.4971, prior_entropy: 1.5824, recall: 0.4971, relative_absolute_error: 0.7835, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4907, root_relative_squared_error: 1.0418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, f_measure: 0.5017, kappa: 0.2576, kb_relative_information_score: 178.4622, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.499, predictive_accuracy: 0.5057, prior_entropy: 1.5824, recall: 0.5057, relative_absolute_error: 0.8178, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.9368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, f_measure: 0.4879, kappa: 0.2518, kb_relative_information_score: 164.5174, mean_absolute_error: 0.3743, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4845, predictive_accuracy: 0.5014, prior_entropy: 1.5824, recall: 0.5014, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.9438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5755, f_measure: 0.3516, kappa: 0.1331, kb_relative_information_score: 85.6239, mean_absolute_error: 0.4098, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.3869, predictive_accuracy: 0.4357, prior_entropy: 1.5824, recall: 0.4357, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.4807, kappa: 0.2424, kb_relative_information_score: 169.3184, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.478, predictive_accuracy: 0.4943, prior_entropy: 1.5824, recall: 0.4943, relative_absolute_error: 0.8333, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.9423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.4934, kappa: 0.2403, kb_relative_information_score: 202.1428, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4926, predictive_accuracy: 0.4943, prior_entropy: 1.5824, recall: 0.4943, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4951, root_relative_squared_error: 1.0511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.5238, kappa: 0.2843, kb_relative_information_score: 208.0974, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5256, predictive_accuracy: 0.5229, prior_entropy: 1.5824, recall: 0.5229, relative_absolute_error: 0.7791, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6679, f_measure: 0.4652, kappa: 0.2113, kb_relative_information_score: 154.0352, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4612, predictive_accuracy: 0.4743, prior_entropy: 1.5824, recall: 0.4743, relative_absolute_error: 0.8549, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4466, root_relative_squared_error: 0.9482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.4608, kappa: 0.2112, kb_relative_information_score: 152.7234, mean_absolute_error: 0.3806, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4596, predictive_accuracy: 0.4729, prior_entropy: 1.5824, recall: 0.4729, relative_absolute_error: 0.8579, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7078, f_measure: 0.5185, kappa: 0.2752, kb_relative_information_score: 199.0427, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5202, predictive_accuracy: 0.5171, prior_entropy: 1.5824, recall: 0.5171, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.47, kappa: 0.228, kb_relative_information_score: 156.2492, mean_absolute_error: 0.3785, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4689, predictive_accuracy: 0.4843, prior_entropy: 1.5824, recall: 0.4843, relative_absolute_error: 0.8531, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.9403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5755, f_measure: 0.3516, kappa: 0.1331, kb_relative_information_score: 85.6239, mean_absolute_error: 0.4098, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.3869, predictive_accuracy: 0.4357, prior_entropy: 1.5824, recall: 0.4357, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.4934, kappa: 0.2403, kb_relative_information_score: 202.1428, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4926, predictive_accuracy: 0.4943, prior_entropy: 1.5824, recall: 0.4943, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4951, root_relative_squared_error: 1.0511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6826, f_measure: 0.4752, kappa: 0.2197, kb_relative_information_score: 141.8263, mean_absolute_error: 0.3856, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4737, predictive_accuracy: 0.48, prior_entropy: 1.5824, recall: 0.48, relative_absolute_error: 0.8692, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.9442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6826, f_measure: 0.4752, kappa: 0.2197, kb_relative_information_score: 141.8263, mean_absolute_error: 0.3856, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4737, predictive_accuracy: 0.48, prior_entropy: 1.5824, recall: 0.48, relative_absolute_error: 0.8692, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.9442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6161, f_measure: 0.4178, kappa: 0.15, kb_relative_information_score: 104.5822, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4249, predictive_accuracy: 0.43, prior_entropy: 1.5824, recall: 0.43, relative_absolute_error: 0.9166, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6161, f_measure: 0.4178, kappa: 0.15, kb_relative_information_score: 104.5822, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4249, predictive_accuracy: 0.43, prior_entropy: 1.5824, recall: 0.43, relative_absolute_error: 0.9166, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.5191, kappa: 0.2707, kb_relative_information_score: 181.9845, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5376, predictive_accuracy: 0.5129, prior_entropy: 1.5824, recall: 0.5129, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.1815, kb_relative_information_score: 0.2764, mean_absolute_error: 0.4437, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.1225, predictive_accuracy: 0.35, prior_entropy: 1.5824, recall: 0.35, relative_absolute_error: 1, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.471, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5755, f_measure: 0.3516, kappa: 0.1331, kb_relative_information_score: 85.624, mean_absolute_error: 0.4098, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.3869, predictive_accuracy: 0.4357, prior_entropy: 1.5824, recall: 0.4357, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.673, f_measure: 0.5006, kappa: 0.248, kb_relative_information_score: 191.7174, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5036, predictive_accuracy: 0.4986, prior_entropy: 1.5824, recall: 0.4986, relative_absolute_error: 0.8042, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5754, f_measure: 0.4178, kappa: 0.15, kb_relative_information_score: 154.1368, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4249, predictive_accuracy: 0.43, prior_entropy: 1.5824, recall: 0.43, relative_absolute_error: 0.8565, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.3088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6418, f_measure: 0.5244, kappa: 0.2819, kb_relative_information_score: 239.8056, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5282, predictive_accuracy: 0.5214, prior_entropy: 1.5824, recall: 0.5214, relative_absolute_error: 0.7191, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.5648, root_relative_squared_error: 1.1993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5657, f_measure: 0.4167, kappa: 0.1305, kb_relative_information_score: 144.4209, mean_absolute_error: 0.3848, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.414, predictive_accuracy: 0.4229, prior_entropy: 1.5824, recall: 0.4229, relative_absolute_error: 0.8672, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.6203, root_relative_squared_error: 1.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5476, f_measure: 0.3946, kappa: 0.0938, kb_relative_information_score: 119.2267, mean_absolute_error: 0.4029, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.395, predictive_accuracy: 0.3957, prior_entropy: 1.5824, recall: 0.3957, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.6347, root_relative_squared_error: 1.3476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, f_measure: 0.5227, kappa: 0.2857, kb_relative_information_score: 242.5335, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5215, predictive_accuracy: 0.5243, prior_entropy: 1.5824, recall: 0.5243, relative_absolute_error: 0.7148, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.5632, root_relative_squared_error: 1.1957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.567, f_measure: 0.4169, kappa: 0.1332, kb_relative_information_score: 147.3374, mean_absolute_error: 0.3819, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4182, predictive_accuracy: 0.4271, prior_entropy: 1.5824, recall: 0.4271, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.618, root_relative_squared_error: 1.3121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, f_measure: 0.5094, kappa: 0.2668, kb_relative_information_score: 214.1865, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5068, predictive_accuracy: 0.5129, prior_entropy: 1.5824, recall: 0.5129, relative_absolute_error: 0.7627, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4797, root_relative_squared_error: 1.0184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, f_measure: 0.4401, kappa: 0.1567, kb_relative_information_score: 155.9414, mean_absolute_error: 0.3809, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4427, predictive_accuracy: 0.44, prior_entropy: 1.5824, recall: 0.44, relative_absolute_error: 0.8585, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.5541, root_relative_squared_error: 1.1765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5652, f_measure: 0.403, kappa: 0.1017, kb_relative_information_score: 117.2622, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.405, predictive_accuracy: 0.4014, prior_entropy: 1.5824, recall: 0.4014, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.5485, root_relative_squared_error: 1.1645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5804, f_measure: 0.4263, kappa: 0.1374, kb_relative_information_score: 125.4999, mean_absolute_error: 0.4019, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4271, predictive_accuracy: 0.4257, prior_entropy: 1.5824, recall: 0.4257, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.5305, root_relative_squared_error: 1.1264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6601, f_measure: 0.4508, kappa: 0.164, kb_relative_information_score: 142.8607, mean_absolute_error: 0.3838, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4817, predictive_accuracy: 0.4443, prior_entropy: 1.5824, recall: 0.4443, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7066, f_measure: 0.5169, kappa: 0.2782, kb_relative_information_score: 182.847, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5171, predictive_accuracy: 0.5186, prior_entropy: 1.5824, recall: 0.5186, relative_absolute_error: 0.816, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.9493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7023, f_measure: 0.5213, kappa: 0.2808, kb_relative_information_score: 242.1641, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5211, predictive_accuracy: 0.5214, prior_entropy: 1.5824, recall: 0.5214, relative_absolute_error: 0.7193, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.5295, root_relative_squared_error: 1.1242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6627, f_measure: 0.5127, kappa: 0.2748, kb_relative_information_score: 203.4348, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5217, predictive_accuracy: 0.5143, prior_entropy: 1.5824, recall: 0.5143, relative_absolute_error: 0.7871, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4844, root_relative_squared_error: 1.0286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.5013, kappa: 0.2489, kb_relative_information_score: 194.9391, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5027, predictive_accuracy: 0.5, prior_entropy: 1.5824, recall: 0.5, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.9225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.5013, kappa: 0.2489, kb_relative_information_score: 194.9391, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5027, predictive_accuracy: 0.5, prior_entropy: 1.5824, recall: 0.5, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.9225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.5013, kappa: 0.2489, kb_relative_information_score: 194.9391, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5027, predictive_accuracy: 0.5, prior_entropy: 1.5824, recall: 0.5, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.9225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.5013, kappa: 0.2489, kb_relative_information_score: 194.9391, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5027, predictive_accuracy: 0.5, prior_entropy: 1.5824, recall: 0.5, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.9225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.492, kappa: 0.2369, kb_relative_information_score: 148.8469, mean_absolute_error: 0.3808, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4931, predictive_accuracy: 0.4914, prior_entropy: 1.5824, recall: 0.4914, relative_absolute_error: 0.8584, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.441, root_relative_squared_error: 0.9363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.5013, kappa: 0.2489, kb_relative_information_score: 194.9391, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5027, predictive_accuracy: 0.5, prior_entropy: 1.5824, recall: 0.5, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.9225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.5013, kappa: 0.2489, kb_relative_information_score: 194.9391, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5027, predictive_accuracy: 0.5, prior_entropy: 1.5824, recall: 0.5, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.9225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.5013, kappa: 0.2489, kb_relative_information_score: 194.9391, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5027, predictive_accuracy: 0.5, prior_entropy: 1.5824, recall: 0.5, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.9225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.5191, kappa: 0.2707, kb_relative_information_score: 181.9845, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5376, predictive_accuracy: 0.5129, prior_entropy: 1.5824, recall: 0.5129, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.601, f_measure: 0.4206, kappa: 0.1368, kb_relative_information_score: 68.0674, mean_absolute_error: 0.4238, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4178, predictive_accuracy: 0.4271, prior_entropy: 1.5824, recall: 0.4271, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6289, f_measure: 0.4424, kappa: 0.1605, kb_relative_information_score: 114.3275, mean_absolute_error: 0.3984, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4464, predictive_accuracy: 0.44, prior_entropy: 1.5824, recall: 0.44, relative_absolute_error: 0.898, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, f_measure: 0.4713, kappa: 0.2106, kb_relative_information_score: 112.466, mean_absolute_error: 0.3993, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4682, predictive_accuracy: 0.4757, prior_entropy: 1.5824, recall: 0.4757, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.9353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, f_measure: 0.482, kappa: 0.2238, kb_relative_information_score: 172.14, mean_absolute_error: 0.3674, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4816, predictive_accuracy: 0.4829, prior_entropy: 1.5824, recall: 0.4829, relative_absolute_error: 0.8281, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4558, root_relative_squared_error: 0.9677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.4611, kappa: 0.1857, kb_relative_information_score: 107.0777, mean_absolute_error: 0.4019, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4751, predictive_accuracy: 0.4557, prior_entropy: 1.5824, recall: 0.4557, relative_absolute_error: 0.9058, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.5013, kappa: 0.2489, kb_relative_information_score: 194.9391, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5027, predictive_accuracy: 0.5, prior_entropy: 1.5824, recall: 0.5, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.9225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.5013, kappa: 0.2489, kb_relative_information_score: 194.9391, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5027, predictive_accuracy: 0.5, prior_entropy: 1.5824, recall: 0.5, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.9225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.1815, kb_relative_information_score: 0.2764, mean_absolute_error: 0.4437, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.1225, predictive_accuracy: 0.35, prior_entropy: 1.5824, recall: 0.35, relative_absolute_error: 1, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.471, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.5096, kappa: 0.2724, kb_relative_information_score: 137.0006, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5093, predictive_accuracy: 0.5143, prior_entropy: 1.5824, recall: 0.5143, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.9343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.5013, kappa: 0.2489, kb_relative_information_score: 194.9391, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5027, predictive_accuracy: 0.5, prior_entropy: 1.5824, recall: 0.5, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.9225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, f_measure: 0.5169, kappa: 0.273, kb_relative_information_score: 183.6149, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5184, predictive_accuracy: 0.5157, prior_entropy: 1.5824, recall: 0.5157, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.9204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5629, f_measure: 0.4153, kappa: 0.1214, kb_relative_information_score: 137.9694, mean_absolute_error: 0.3894, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4152, predictive_accuracy: 0.4157, prior_entropy: 1.5824, recall: 0.4157, relative_absolute_error: 0.8777, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.6228, root_relative_squared_error: 1.3224,

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