OpenML
Supervised Classification on MiceProtein

Supervised Classification on MiceProtein

Task 34538 Supervised Classification MiceProtein 10616 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 17.898, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, kb_relative_information_score: 19.5699, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3309, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 28.0095, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3311, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.541, f_measure: 0.1919, kappa: 0.0759, kb_relative_information_score: 147.0202, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.3154, predictive_accuracy: 0.1889, prior_entropy: 2.9931, recall: 0.1889, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4503, root_relative_squared_error: 1.3625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 73.7611, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4677, root_relative_squared_error: 1.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9813, kappa: 0.9788, kb_relative_information_score: 860.391, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9819, predictive_accuracy: 0.9815, prior_entropy: 2.9931, recall: 0.9815, relative_absolute_error: 0.3703, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 23.506, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3309, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 83.3448, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.464, root_relative_squared_error: 1.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 9.1829, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 4.2629, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 5.0455, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9059, kappa: 0.8929, kb_relative_information_score: 716.6843, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9097, predictive_accuracy: 0.9065, prior_entropy: 2.9931, recall: 0.9065, relative_absolute_error: 0.5448, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.6041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 962.8863, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9964, predictive_accuracy: 0.9963, prior_entropy: 2.9931, recall: 0.9963, relative_absolute_error: 0.2178, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.2706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 83.3448, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.464, root_relative_squared_error: 1.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 27.1748, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.331, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 3.4118, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 45.8706, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3322, root_relative_squared_error: 1.0051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.545, kappa: 0.0444, kb_relative_information_score: 14.2669, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.175, prior_entropy: 2.9931, recall: 0.175, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.33, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 7.3537, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 2.2237, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 7.9966, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 18.2824, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3308, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5159, f_measure: 0.1271, kappa: 0.0286, kb_relative_information_score: 104.9214, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.182, predictive_accuracy: 0.1528, prior_entropy: 2.9931, recall: 0.1528, relative_absolute_error: 0.9695, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4602, root_relative_squared_error: 1.3925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 0.7975, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 24.2312, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.331, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 73.7611, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4677, root_relative_squared_error: 1.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 15.5924, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, kb_relative_information_score: 35.1595, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3315, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 5.8675, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9954, kappa: 0.9947, kb_relative_information_score: 937.5716, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9955, predictive_accuracy: 0.9954, prior_entropy: 2.9931, recall: 0.9954, relative_absolute_error: 0.2616, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.3159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 13.5366, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 11.0259, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9482, kappa: 0.9406, kb_relative_information_score: 848.9158, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9495, predictive_accuracy: 0.9481, prior_entropy: 2.9931, recall: 0.9481, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.148, root_relative_squared_error: 0.4479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 52.804, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.0972, prior_entropy: 2.9931, recall: 0.0972, relative_absolute_error: 1.0331, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9526, kappa: 0.946, kb_relative_information_score: 869.8357, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9547, predictive_accuracy: 0.9528, prior_entropy: 2.9931, recall: 0.9528, relative_absolute_error: 0.3419, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 20.0983, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3308, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 939.164, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 2.9931, recall: 0.9991, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.3084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 2.9413, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 63.5454, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1111, prior_entropy: 2.9931, recall: 0.1111, relative_absolute_error: 1.0172, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.4263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 22.3782, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3308, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 8.2798, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 46.3119, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3327, root_relative_squared_error: 1.0068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 12.0023, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, kb_relative_information_score: 8.6702, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, kappa: 0.0243, kb_relative_information_score: 11.6545, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1593, prior_entropy: 2.9931, recall: 0.1593, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.33, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 19.3851, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.331, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.8549, kappa: 0.8337, kb_relative_information_score: 841.8675, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8572, predictive_accuracy: 0.8546, prior_entropy: 2.9931, recall: 0.8546, relative_absolute_error: 0.3431, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.5189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 14.196, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 5.7365, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6153, f_measure: 0.3028, kappa: 0.2218, kb_relative_information_score: 294.9012, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.307, predictive_accuracy: 0.3222, prior_entropy: 2.9931, recall: 0.3222, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4116, root_relative_squared_error: 1.2455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, kb_relative_information_score: 45.0756, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3321, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 31.1559, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3315, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5053, kb_relative_information_score: 10.1164, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 5.5071, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 83.3448, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.464, root_relative_squared_error: 1.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 7.6342, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 23.8336, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.331, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9759, kappa: 0.9724, kb_relative_information_score: 829.3519, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9763, predictive_accuracy: 0.9759, prior_entropy: 2.9931, recall: 0.9759, relative_absolute_error: 0.4143, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.4713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 15.5489, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 891.4141, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9982, predictive_accuracy: 0.9981, prior_entropy: 2.9931, recall: 0.9981, relative_absolute_error: 0.337, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.3784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, kb_relative_information_score: 16.7911, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3308, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 23.2294, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.331, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 22.5632, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3309, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5769, kappa: 0.095, kb_relative_information_score: 81.8645, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2185, prior_entropy: 2.9931, recall: 0.2185, relative_absolute_error: 0.9771, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.328, root_relative_squared_error: 0.9925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 19.1462, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3308, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 6.492, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6066, f_measure: 0.4458, kappa: 0.3599, kb_relative_information_score: 434.1449, mean_absolute_error: 0.1438, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.4641, predictive_accuracy: 0.4407, prior_entropy: 2.9931, recall: 0.4407, relative_absolute_error: 0.6584, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3688, root_relative_squared_error: 1.1157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.6547, kappa: 0.6519, kb_relative_information_score: 647.8842, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.7571, predictive_accuracy: 0.6963, prior_entropy: 2.9931, recall: 0.6963, relative_absolute_error: 0.5223, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.7083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9765, kappa: 0.9735, kb_relative_information_score: 886.5617, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9772, predictive_accuracy: 0.9769, prior_entropy: 2.9931, recall: 0.9769, relative_absolute_error: 0.3316, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.3913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, kappa: 0.2505, kb_relative_information_score: 199.18, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.3454, prior_entropy: 2.9931, recall: 0.3454, relative_absolute_error: 0.9061, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.9442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9118, kappa: 0.8993, kb_relative_information_score: 856.9686, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9127, predictive_accuracy: 0.912, prior_entropy: 2.9931, recall: 0.912, relative_absolute_error: 0.3319, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.153, root_relative_squared_error: 0.4629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 4.925, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9501, kappa: 0.9428, kb_relative_information_score: 684.5578, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9509, predictive_accuracy: 0.95, prior_entropy: 2.9931, recall: 0.95, relative_absolute_error: 0.5896, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.6281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 608.8509, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 2.9931, recall: 0.9991, relative_absolute_error: 0.677, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.229, root_relative_squared_error: 0.6928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 825.0645, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 2.9931, recall: 0.9972, relative_absolute_error: 0.4336, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.155, root_relative_squared_error: 0.4691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 7.3849, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 829.0767, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9973, predictive_accuracy: 0.9972, prior_entropy: 2.9931, recall: 0.9972, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.4575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, kb_relative_information_score: 24.6211, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3313, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8032, kappa: 0.7775, kb_relative_information_score: 628.7369, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8062, predictive_accuracy: 0.8056, prior_entropy: 2.9931, recall: 0.8056, relative_absolute_error: 0.6138, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.6784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 15.4113, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 31.4053, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3315, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9824, kappa: 0.9799, kb_relative_information_score: 914.1536, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9828, predictive_accuracy: 0.9824, prior_entropy: 2.9931, recall: 0.9824, relative_absolute_error: 0.291, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1193, root_relative_squared_error: 0.3611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 36.2694, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3316, root_relative_squared_error: 1.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.8889, kappa: 0.8739, kb_relative_information_score: 843.356, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8915, predictive_accuracy: 0.8898, prior_entropy: 2.9931, recall: 0.8898, relative_absolute_error: 0.3494, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9351, kappa: 0.9258, kb_relative_information_score: 701.8371, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9374, predictive_accuracy: 0.9352, prior_entropy: 2.9931, recall: 0.9352, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.6096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, kb_relative_information_score: 41.8941, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.332, root_relative_squared_error: 1.0046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 27.2722, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3311, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 12.6323, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9898, kappa: 0.9883, kb_relative_information_score: 928.2839, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9905, predictive_accuracy: 0.9898, prior_entropy: 2.9931, recall: 0.9898, relative_absolute_error: 0.2749, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.3204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9787, kappa: 0.9756, kb_relative_information_score: 838.1095, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9793, predictive_accuracy: 0.9787, prior_entropy: 2.9931, recall: 0.9787, relative_absolute_error: 0.4029, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.4578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 14.3537, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, kb_relative_information_score: 27.7362, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3316, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 29.7775, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3313, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 9.6635, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.8402, kappa: 0.8195, kb_relative_information_score: 572.184, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8529, predictive_accuracy: 0.8426, prior_entropy: 2.9931, recall: 0.8426, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 31.7679, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3315, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 11.3587, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 6.9474, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 952.9182, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 1, predictive_accuracy: 1, prior_entropy: 2.9931, recall: 1, relative_absolute_error: 0.2411, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0925, root_relative_squared_error: 0.2797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 38.9795, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3318, root_relative_squared_error: 1.004,

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