Task
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 1917 Supervised Classification diabetes 778 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7264, f_measure: 0.6678, kappa: 0.2579, kb_relative_information_score: 1983.4026, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.6646, predictive_accuracy: 0.675, prior_entropy: 0.9335, recall: 0.675, relative_absolute_error: 0.7123, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5062, root_relative_squared_error: 1.0619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7349, kappa: 0.4061, kb_relative_information_score: 2633.6028, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.735, predictive_accuracy: 0.7426, prior_entropy: 0.9335, recall: 0.7426, relative_absolute_error: 0.6458, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, f_measure: 0.7209, kappa: 0.3841, kb_relative_information_score: 2049.1511, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7202, predictive_accuracy: 0.7216, prior_entropy: 0.9335, recall: 0.7216, relative_absolute_error: 0.7307, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, f_measure: 0.7099, kappa: 0.3546, kb_relative_information_score: 2007.1214, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7079, predictive_accuracy: 0.7139, prior_entropy: 0.9335, recall: 0.7139, relative_absolute_error: 0.7276, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.9355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7249, kappa: 0.382, kb_relative_information_score: 1977.2133, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7269, predictive_accuracy: 0.7357, prior_entropy: 0.9335, recall: 0.7357, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.729, kappa: 0.3906, kb_relative_information_score: 1960.2394, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7329, predictive_accuracy: 0.741, prior_entropy: 0.9335, recall: 0.741, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.7141, kappa: 0.3931, kb_relative_information_score: 2543.4674, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7302, predictive_accuracy: 0.7085, prior_entropy: 0.9335, recall: 0.7085, relative_absolute_error: 0.6421, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5094, root_relative_squared_error: 1.0688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, f_measure: 0.7305, kappa: 0.3933, kb_relative_information_score: 2084.1338, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7363, predictive_accuracy: 0.7438, prior_entropy: 0.9335, recall: 0.7438, relative_absolute_error: 0.7298, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.7295, kappa: 0.3934, kb_relative_information_score: 2815.3893, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.73, predictive_accuracy: 0.7382, prior_entropy: 0.9335, recall: 0.7382, relative_absolute_error: 0.6186, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.9103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.7214, kappa: 0.3748, kb_relative_information_score: 2053.7961, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7221, predictive_accuracy: 0.7311, prior_entropy: 0.9335, recall: 0.7311, relative_absolute_error: 0.736, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.8699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.6772, kappa: 0.2797, kb_relative_information_score: 2036.1275, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.6744, predictive_accuracy: 0.6836, prior_entropy: 0.9335, recall: 0.6836, relative_absolute_error: 0.7078, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.7322, kappa: 0.4035, kb_relative_information_score: 2602.1704, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7306, predictive_accuracy: 0.7365, prior_entropy: 0.9335, recall: 0.7365, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.9005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, f_measure: 0.7244, kappa: 0.3919, kb_relative_information_score: 2052.4763, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7237, predictive_accuracy: 0.7253, prior_entropy: 0.9335, recall: 0.7253, relative_absolute_error: 0.7313, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.8913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7479, f_measure: 0.711, kappa: 0.3571, kb_relative_information_score: 2003.7278, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.709, predictive_accuracy: 0.715, prior_entropy: 0.9335, recall: 0.715, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4454, root_relative_squared_error: 0.9344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7914, f_measure: 0.7276, kappa: 0.3881, kb_relative_information_score: 1967.6456, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7297, predictive_accuracy: 0.7382, prior_entropy: 0.9335, recall: 0.7382, relative_absolute_error: 0.748, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7308, kappa: 0.3946, kb_relative_information_score: 1942.7971, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7345, predictive_accuracy: 0.7424, prior_entropy: 0.9335, recall: 0.7424, relative_absolute_error: 0.7533, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.7142, kappa: 0.3957, kb_relative_information_score: 2529.8944, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7326, predictive_accuracy: 0.7082, prior_entropy: 0.9335, recall: 0.7082, relative_absolute_error: 0.6439, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5125, root_relative_squared_error: 1.0753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.7338, kappa: 0.4048, kb_relative_information_score: 2081.2458, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.733, predictive_accuracy: 0.7402, prior_entropy: 0.9335, recall: 0.7402, relative_absolute_error: 0.7319, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.8798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7284, kappa: 0.3907, kb_relative_information_score: 2810.9017, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7293, predictive_accuracy: 0.7376, prior_entropy: 0.9335, recall: 0.7376, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.9079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.7234, kappa: 0.3788, kb_relative_information_score: 2045.8964, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7247, predictive_accuracy: 0.7336, prior_entropy: 0.9335, recall: 0.7336, relative_absolute_error: 0.7377, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7297, f_measure: 0.682, kappa: 0.2907, kb_relative_information_score: 2089.7164, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.6793, predictive_accuracy: 0.688, prior_entropy: 0.9335, recall: 0.688, relative_absolute_error: 0.7021, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4966, root_relative_squared_error: 1.0419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.7299, kappa: 0.3948, kb_relative_information_score: 2563.8724, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7299, predictive_accuracy: 0.7379, prior_entropy: 0.9335, recall: 0.7379, relative_absolute_error: 0.6562, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.9004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.7241, kappa: 0.3905, kb_relative_information_score: 2059.8092, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7232, predictive_accuracy: 0.7253, prior_entropy: 0.9335, recall: 0.7253, relative_absolute_error: 0.7318, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.7188, kappa: 0.3748, kb_relative_information_score: 2060.1372, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.717, predictive_accuracy: 0.7225, prior_entropy: 0.9335, recall: 0.7225, relative_absolute_error: 0.7252, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.9136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, f_measure: 0.7279, kappa: 0.3886, kb_relative_information_score: 1947.2098, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7304, predictive_accuracy: 0.7388, prior_entropy: 0.9335, recall: 0.7388, relative_absolute_error: 0.751, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.414, root_relative_squared_error: 0.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.7307, kappa: 0.3943, kb_relative_information_score: 1917.6303, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7345, predictive_accuracy: 0.7424, prior_entropy: 0.9335, recall: 0.7424, relative_absolute_error: 0.757, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.712, kappa: 0.3933, kb_relative_information_score: 2505.2281, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7325, predictive_accuracy: 0.7057, prior_entropy: 0.9335, recall: 0.7057, relative_absolute_error: 0.6468, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5157, root_relative_squared_error: 1.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7878, f_measure: 0.7327, kappa: 0.3983, kb_relative_information_score: 2083.786, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7391, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.7332, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.7331, kappa: 0.4008, kb_relative_information_score: 2818.0247, mean_absolute_error: 0.2817, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7346, predictive_accuracy: 0.7426, prior_entropy: 0.9335, recall: 0.7426, relative_absolute_error: 0.6197, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.9045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.726, kappa: 0.3842, kb_relative_information_score: 2031.1766, mean_absolute_error: 0.3365, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7282, predictive_accuracy: 0.7368, prior_entropy: 0.9335, recall: 0.7368, relative_absolute_error: 0.7403, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7315, f_measure: 0.6824, kappa: 0.2909, kb_relative_information_score: 2129.8239, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.6797, predictive_accuracy: 0.6891, prior_entropy: 0.9335, recall: 0.6891, relative_absolute_error: 0.6976, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4926, root_relative_squared_error: 1.0335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.7281, kappa: 0.3938, kb_relative_information_score: 2538.1196, mean_absolute_error: 0.2998, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7265, predictive_accuracy: 0.7329, prior_entropy: 0.9335, recall: 0.7329, relative_absolute_error: 0.6597, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.7276, kappa: 0.3977, kb_relative_information_score: 2061.2192, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7265, predictive_accuracy: 0.7289, prior_entropy: 0.9335, recall: 0.7289, relative_absolute_error: 0.7329, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.8837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, f_measure: 0.7223, kappa: 0.3828, kb_relative_information_score: 2072.6676, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7205, predictive_accuracy: 0.7257, prior_entropy: 0.9335, recall: 0.7257, relative_absolute_error: 0.724, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.9114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.7296, kappa: 0.3922, kb_relative_information_score: 1934.4701, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7324, predictive_accuracy: 0.7406, prior_entropy: 0.9335, recall: 0.7406, relative_absolute_error: 0.7531, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7319, kappa: 0.397, kb_relative_information_score: 1899.5158, mean_absolute_error: 0.3452, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7358, predictive_accuracy: 0.7436, prior_entropy: 0.9335, recall: 0.7436, relative_absolute_error: 0.7596, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.7102, kappa: 0.3908, kb_relative_information_score: 2481.3586, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.732, predictive_accuracy: 0.7038, prior_entropy: 0.9335, recall: 0.7038, relative_absolute_error: 0.6498, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5186, root_relative_squared_error: 1.0879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.7405, kappa: 0.4189, kb_relative_information_score: 2074.8042, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7405, predictive_accuracy: 0.7477, prior_entropy: 0.9335, recall: 0.7477, relative_absolute_error: 0.7354, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.7339, kappa: 0.4021, kb_relative_information_score: 2814.2999, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7365, predictive_accuracy: 0.7443, prior_entropy: 0.9335, recall: 0.7443, relative_absolute_error: 0.6211, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.7273, kappa: 0.3871, kb_relative_information_score: 2015.7274, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7301, predictive_accuracy: 0.7385, prior_entropy: 0.9335, recall: 0.7385, relative_absolute_error: 0.7427, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.8658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.6863, kappa: 0.3004, kb_relative_information_score: 2115.8372, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.6837, predictive_accuracy: 0.6919, prior_entropy: 0.9335, recall: 0.6919, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4912, root_relative_squared_error: 1.0305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.7301, kappa: 0.3955, kb_relative_information_score: 2509.6053, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.73, predictive_accuracy: 0.7379, prior_entropy: 0.9335, recall: 0.7379, relative_absolute_error: 0.6638, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7267, kappa: 0.3961, kb_relative_information_score: 2059.8288, mean_absolute_error: 0.3334, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7257, predictive_accuracy: 0.728, prior_entropy: 0.9335, recall: 0.728, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, f_measure: 0.7321, kappa: 0.4043, kb_relative_information_score: 2093.8321, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7305, predictive_accuracy: 0.7355, prior_entropy: 0.9335, recall: 0.7355, relative_absolute_error: 0.7244, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7299, kappa: 0.3928, kb_relative_information_score: 1928.6275, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7333, predictive_accuracy: 0.7414, prior_entropy: 0.9335, recall: 0.7414, relative_absolute_error: 0.7547, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.7317, kappa: 0.3965, kb_relative_information_score: 1887.6348, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7364, predictive_accuracy: 0.744, prior_entropy: 0.9335, recall: 0.744, relative_absolute_error: 0.7617, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8668,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, f_measure: 0.7341, kappa: 0.4012, kb_relative_information_score: 2072.0146, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7418, predictive_accuracy: 0.7482, prior_entropy: 0.9335, recall: 0.7482, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.737, kappa: 0.4089, kb_relative_information_score: 2815.7998, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7402, predictive_accuracy: 0.7477, prior_entropy: 0.9335, recall: 0.7477, relative_absolute_error: 0.6214, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.9003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7285, kappa: 0.3896, kb_relative_information_score: 2004.855, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7317, predictive_accuracy: 0.74, prior_entropy: 0.9335, recall: 0.74, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.6903, kappa: 0.3105, kb_relative_information_score: 2149.6099, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.6879, predictive_accuracy: 0.6951, prior_entropy: 0.9335, recall: 0.6951, relative_absolute_error: 0.6963, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.489, root_relative_squared_error: 1.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.731, kappa: 0.4001, kb_relative_information_score: 2482.301, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7296, predictive_accuracy: 0.7361, prior_entropy: 0.9335, recall: 0.7361, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.789, f_measure: 0.7268, kappa: 0.3956, kb_relative_information_score: 2061.1461, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7256, predictive_accuracy: 0.7284, prior_entropy: 0.9335, recall: 0.7284, relative_absolute_error: 0.734, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, f_measure: 0.7364, kappa: 0.4136, kb_relative_information_score: 2114.396, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7349, predictive_accuracy: 0.7401, prior_entropy: 0.9335, recall: 0.7401, relative_absolute_error: 0.7227, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.7294, kappa: 0.3915, kb_relative_information_score: 1916.7503, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.733, predictive_accuracy: 0.7411, prior_entropy: 0.9335, recall: 0.7411, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.7334, kappa: 0.4002, kb_relative_information_score: 1871.2882, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7378, predictive_accuracy: 0.7453, prior_entropy: 0.9335, recall: 0.7453, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.867,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7393, kappa: 0.4152, kb_relative_information_score: 2071.6063, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7405, predictive_accuracy: 0.7479, prior_entropy: 0.9335, recall: 0.7479, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.8684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.738, kappa: 0.4111, kb_relative_information_score: 2826.2646, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7414, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.7284, kappa: 0.3891, kb_relative_information_score: 1997.3711, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7322, predictive_accuracy: 0.7404, prior_entropy: 0.9335, recall: 0.7404, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.6934, kappa: 0.3182, kb_relative_information_score: 2153.4915, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.6911, predictive_accuracy: 0.6975, prior_entropy: 0.9335, recall: 0.6975, relative_absolute_error: 0.6965, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.7294, kappa: 0.3931, kb_relative_information_score: 2452.1815, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7299, predictive_accuracy: 0.7382, prior_entropy: 0.9335, recall: 0.7382, relative_absolute_error: 0.6722, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.7291, kappa: 0.4005, kb_relative_information_score: 2057.3561, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7279, predictive_accuracy: 0.7309, prior_entropy: 0.9335, recall: 0.7309, relative_absolute_error: 0.7349, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.7369, kappa: 0.4144, kb_relative_information_score: 2128.9184, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7354, predictive_accuracy: 0.7409, prior_entropy: 0.9335, recall: 0.7409, relative_absolute_error: 0.7229, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.7318, kappa: 0.3969, kb_relative_information_score: 1902.4371, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7359, predictive_accuracy: 0.7436, prior_entropy: 0.9335, recall: 0.7436, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.7355, kappa: 0.4051, kb_relative_information_score: 1852.4, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7402, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.7669, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8675,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7426, kappa: 0.4201, kb_relative_information_score: 2060.261, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7529, predictive_accuracy: 0.7572, prior_entropy: 0.9335, recall: 0.7572, relative_absolute_error: 0.7391, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.74, kappa: 0.4155, kb_relative_information_score: 2827.6862, mean_absolute_error: 0.2822, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7443, predictive_accuracy: 0.7512, prior_entropy: 0.9335, recall: 0.7512, relative_absolute_error: 0.6209, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7283, kappa: 0.3889, kb_relative_information_score: 1986.1117, mean_absolute_error: 0.3401, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7324, predictive_accuracy: 0.7405, prior_entropy: 0.9335, recall: 0.7405, relative_absolute_error: 0.7484, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.6925, kappa: 0.3174, kb_relative_information_score: 2130.4492, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.6904, predictive_accuracy: 0.6957, prior_entropy: 0.9335, recall: 0.6957, relative_absolute_error: 0.6996, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4884, root_relative_squared_error: 1.0248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.7286, kappa: 0.3939, kb_relative_information_score: 2424.3149, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7273, predictive_accuracy: 0.7344, prior_entropy: 0.9335, recall: 0.7344, relative_absolute_error: 0.6764, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.7324, kappa: 0.4073, kb_relative_information_score: 2048.8398, mean_absolute_error: 0.3347, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7311, predictive_accuracy: 0.7344, prior_entropy: 0.9335, recall: 0.7344, relative_absolute_error: 0.7363, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7393, kappa: 0.4198, kb_relative_information_score: 2142.5784, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7378, predictive_accuracy: 0.7431, prior_entropy: 0.9335, recall: 0.7431, relative_absolute_error: 0.7212, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.8889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7328, kappa: 0.3992, kb_relative_information_score: 1878.3073, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7365, predictive_accuracy: 0.7443, prior_entropy: 0.9335, recall: 0.7443, relative_absolute_error: 0.7625, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7343, kappa: 0.4025, kb_relative_information_score: 1824.3457, mean_absolute_error: 0.3502, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7385, predictive_accuracy: 0.746, prior_entropy: 0.9335, recall: 0.746, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8691,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.7459, kappa: 0.4293, kb_relative_information_score: 2045.2853, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7485, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.7381, kappa: 0.411, kb_relative_information_score: 2815.5637, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7423, predictive_accuracy: 0.7493, prior_entropy: 0.9335, recall: 0.7493, relative_absolute_error: 0.6231, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.7293, kappa: 0.3912, kb_relative_information_score: 1966.5134, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7332, predictive_accuracy: 0.7413, prior_entropy: 0.9335, recall: 0.7413, relative_absolute_error: 0.7512, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7309, f_measure: 0.6898, kappa: 0.3122, kb_relative_information_score: 2083.2002, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.6879, predictive_accuracy: 0.6926, prior_entropy: 0.9335, recall: 0.6926, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.491, root_relative_squared_error: 1.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7839, f_measure: 0.7285, kappa: 0.3906, kb_relative_information_score: 2397.3728, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7295, predictive_accuracy: 0.7379, prior_entropy: 0.9335, recall: 0.7379, relative_absolute_error: 0.6797, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.7326, kappa: 0.4076, kb_relative_information_score: 2029.0301, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7312, predictive_accuracy: 0.7345, prior_entropy: 0.9335, recall: 0.7345, relative_absolute_error: 0.7389, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7839, f_measure: 0.7434, kappa: 0.4283, kb_relative_information_score: 2136.7149, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.742, predictive_accuracy: 0.7475, prior_entropy: 0.9335, recall: 0.7475, relative_absolute_error: 0.7235, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.8829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7328, kappa: 0.3991, kb_relative_information_score: 1853.9041, mean_absolute_error: 0.3481, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7367, predictive_accuracy: 0.7444, prior_entropy: 0.9335, recall: 0.7444, relative_absolute_error: 0.7659, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.7354, kappa: 0.405, kb_relative_information_score: 1795.0039, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7395, predictive_accuracy: 0.7469, prior_entropy: 0.9335, recall: 0.7469, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8707,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.7445, kappa: 0.4245, kb_relative_information_score: 2006.9002, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7551, predictive_accuracy: 0.759, prior_entropy: 0.9335, recall: 0.759, relative_absolute_error: 0.7466, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7398, kappa: 0.4149, kb_relative_information_score: 2797.4073, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7445, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.7288, kappa: 0.3902, kb_relative_information_score: 1945.1477, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7325, predictive_accuracy: 0.7406, prior_entropy: 0.9335, recall: 0.7406, relative_absolute_error: 0.7543, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7316, f_measure: 0.6911, kappa: 0.3163, kb_relative_information_score: 2068.6346, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.6896, predictive_accuracy: 0.6931, prior_entropy: 0.9335, recall: 0.6931, relative_absolute_error: 0.7071, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.491, root_relative_squared_error: 1.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.7326, kappa: 0.4022, kb_relative_information_score: 2371.6219, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7316, predictive_accuracy: 0.7388, prior_entropy: 0.9335, recall: 0.7388, relative_absolute_error: 0.6832, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7351, kappa: 0.4135, kb_relative_information_score: 2014.585, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7339, predictive_accuracy: 0.737, prior_entropy: 0.9335, recall: 0.737, relative_absolute_error: 0.7409, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.7411, kappa: 0.4236, kb_relative_information_score: 2130.9375, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7397, predictive_accuracy: 0.7452, prior_entropy: 0.9335, recall: 0.7452, relative_absolute_error: 0.7241, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.8823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7327, kappa: 0.399, kb_relative_information_score: 1833.8209, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7362, predictive_accuracy: 0.744, prior_entropy: 0.9335, recall: 0.744, relative_absolute_error: 0.7688, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.7351, kappa: 0.4044, kb_relative_information_score: 1770.7053, mean_absolute_error: 0.3533, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.739, predictive_accuracy: 0.7465, prior_entropy: 0.9335, recall: 0.7465, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.872,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7451, kappa: 0.4276, kb_relative_information_score: 1974.9817, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7476, predictive_accuracy: 0.7544, prior_entropy: 0.9335, recall: 0.7544, relative_absolute_error: 0.7505, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8688,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs