OpenML
Supervised Classification on CostaMadre1

Supervised Classification on CostaMadre1

Task 7557 Supervised Classification CostaMadre1 88 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6674, f_measure: 0.8177, kappa: 0.051, kb_relative_information_score: -60.7436, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7997, predictive_accuracy: 0.8615, prior_entropy: 0.5598, recall: 0.8615, relative_absolute_error: 0.9241, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3381, root_relative_squared_error: 1.0106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.8142, kappa: 0.0559, kb_relative_information_score: -32.4317, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7935, predictive_accuracy: 0.848, prior_entropy: 0.5598, recall: 0.848, relative_absolute_error: 0.8843, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.8118, kb_relative_information_score: -33.6613, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5598, recall: 0.8716, relative_absolute_error: 1.0261, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3353, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5124, f_measure: 0.8021, kappa: 0.003, kb_relative_information_score: -30.9727, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7771, predictive_accuracy: 0.8345, prior_entropy: 0.5598, recall: 0.8345, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3685, root_relative_squared_error: 1.1017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4757, f_measure: 0.8118, kb_relative_information_score: -2.4457, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5598, recall: 0.8716, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3346, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6488, f_measure: 0.7919, kappa: -0.0029, kb_relative_information_score: -129.9601, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7755, predictive_accuracy: 0.8108, prior_entropy: 0.5598, recall: 0.8108, relative_absolute_error: 1.0529, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3836, root_relative_squared_error: 1.1466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.8154, kappa: 0.092, kb_relative_information_score: 29.6208, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7995, predictive_accuracy: 0.8378, prior_entropy: 0.5598, recall: 0.8378, relative_absolute_error: 0.6991, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.387, root_relative_squared_error: 1.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6642, f_measure: 0.8135, kappa: 0.2128, kb_relative_information_score: -86.0919, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.8247, predictive_accuracy: 0.8041, prior_entropy: 0.5598, recall: 0.8041, relative_absolute_error: 0.9873, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.4315, root_relative_squared_error: 1.2899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7169, f_measure: 0.7869, kappa: 0.0049, kb_relative_information_score: -53.3663, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7773, predictive_accuracy: 0.7973, prior_entropy: 0.5598, recall: 0.7973, relative_absolute_error: 0.8814, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.4036, root_relative_squared_error: 1.2065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.7807, kappa: -0.0076, kb_relative_information_score: -90.4272, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7745, predictive_accuracy: 0.7872, prior_entropy: 0.5598, recall: 0.7872, relative_absolute_error: 0.9723, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.4068, root_relative_squared_error: 1.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.8453, kappa: 0.297, kb_relative_information_score: -6.2513, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.8428, predictive_accuracy: 0.848, prior_entropy: 0.5598, recall: 0.848, relative_absolute_error: 0.7898, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3793, root_relative_squared_error: 1.1337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.8079, kappa: 0.0196, kb_relative_information_score: -101.4528, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7825, predictive_accuracy: 0.8446, prior_entropy: 0.5598, recall: 0.8446, relative_absolute_error: 0.9702, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3467, root_relative_squared_error: 1.0365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5241, f_measure: 0.8102, kappa: -0.0066, kb_relative_information_score: 72.0619, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7593, predictive_accuracy: 0.8682, prior_entropy: 0.5598, recall: 0.8682, relative_absolute_error: 0.5899, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3582, root_relative_squared_error: 1.0708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4757, f_measure: 0.8118, kb_relative_information_score: -2.4457, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5598, recall: 0.8716, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3346, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.8133, kappa: 0.086, kb_relative_information_score: -66.1361, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7976, predictive_accuracy: 0.8345, prior_entropy: 0.5598, recall: 0.8345, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3411, root_relative_squared_error: 1.0196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.71, f_measure: 0.8118, kb_relative_information_score: -14.8287, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5598, recall: 0.8716, relative_absolute_error: 0.9743, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.9899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4757, f_measure: 0.8118, kb_relative_information_score: -2.4457, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5598, recall: 0.8716, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3346, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6029, f_measure: 0.8102, kappa: 0.0437, kb_relative_information_score: -109.0716, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7887, predictive_accuracy: 0.8412, prior_entropy: 0.5598, recall: 0.8412, relative_absolute_error: 0.9451, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3603, root_relative_squared_error: 1.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6191, f_measure: 0.8033, kappa: -0.0125, kb_relative_information_score: -103.725, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7717, predictive_accuracy: 0.8446, prior_entropy: 0.5598, recall: 0.8446, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3546, root_relative_squared_error: 1.0601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4757, f_measure: 0.8118, kb_relative_information_score: 1.4241, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5598, recall: 0.8716, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3346, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4457, f_measure: 0.789, kappa: 0.0093, kb_relative_information_score: -64.0669, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7783, predictive_accuracy: 0.8007, prior_entropy: 0.5598, recall: 0.8007, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.4253, root_relative_squared_error: 1.2715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6846, f_measure: 0.8095, kappa: 0.191, kb_relative_information_score: -45.9231, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.8196, predictive_accuracy: 0.8007, prior_entropy: 0.5598, recall: 0.8007, relative_absolute_error: 0.8933, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.4366, root_relative_squared_error: 1.3051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8118, kb_relative_information_score: 79.5234, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5598, recall: 0.8716, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3583, root_relative_squared_error: 1.0711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, f_measure: 0.806, kappa: 0.0139, kb_relative_information_score: -56.478, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7805, predictive_accuracy: 0.8412, prior_entropy: 0.5598, recall: 0.8412, relative_absolute_error: 0.8846, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3398, root_relative_squared_error: 1.0158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, f_measure: 0.8039, kappa: 0.1911, kb_relative_information_score: -97.9087, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.8205, predictive_accuracy: 0.7905, prior_entropy: 0.5598, recall: 0.7905, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3985, root_relative_squared_error: 1.1912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8118, kb_relative_information_score: 79.5234, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5598, recall: 0.8716, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3583, root_relative_squared_error: 1.0711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4457, f_measure: 0.789, kappa: 0.0093, kb_relative_information_score: -64.0669, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7783, predictive_accuracy: 0.8007, prior_entropy: 0.5598, recall: 0.8007, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.4253, root_relative_squared_error: 1.2715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.8095, kappa: 0.191, kb_relative_information_score: -76.0487, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.8196, predictive_accuracy: 0.8007, prior_entropy: 0.5598, recall: 0.8007, relative_absolute_error: 0.9501, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.4111, root_relative_squared_error: 1.2288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, f_measure: 0.8088, kappa: 0.0047, kb_relative_information_score: -49.1578, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7784, predictive_accuracy: 0.8547, prior_entropy: 0.5598, recall: 0.8547, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.9647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8118, kb_relative_information_score: 79.5234, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5598, recall: 0.8716, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3583, root_relative_squared_error: 1.0711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7038, f_measure: 0.7591, kappa: 0.1456, kb_relative_information_score: -171.5996, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.8156, predictive_accuracy: 0.723, prior_entropy: 0.5598, recall: 0.723, relative_absolute_error: 1.207, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.4988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.489, f_measure: 0.8085, kappa: -0.013, kb_relative_information_score: -3.4556, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.759, predictive_accuracy: 0.8649, prior_entropy: 0.5598, recall: 0.8649, relative_absolute_error: 0.9914, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3384, root_relative_squared_error: 1.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7142, f_measure: 0.8177, kappa: 0.051, kb_relative_information_score: -69.0311, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7997, predictive_accuracy: 0.8615, prior_entropy: 0.5598, recall: 0.8615, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3377, root_relative_squared_error: 1.0094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6245, f_measure: 0.8335, kappa: 0.2519, kb_relative_information_score: 17.9017, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.8326, predictive_accuracy: 0.8345, prior_entropy: 0.5598, recall: 0.8345, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.4069, root_relative_squared_error: 1.2163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8118, kb_relative_information_score: 79.5234, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5598, recall: 0.8716, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3583, root_relative_squared_error: 1.0711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8118, kb_relative_information_score: 79.5234, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5598, recall: 0.8716, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3583, root_relative_squared_error: 1.0711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.505, f_measure: 0.806, kappa: 0.0139, kb_relative_information_score: 29.1057, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7805, predictive_accuracy: 0.8412, prior_entropy: 0.5598, recall: 0.8412, relative_absolute_error: 0.7037, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3985, root_relative_squared_error: 1.1912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5128, f_measure: 0.8138, kappa: 0.0378, kb_relative_information_score: 51.5135, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7908, predictive_accuracy: 0.8547, prior_entropy: 0.5598, recall: 0.8547, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3811, root_relative_squared_error: 1.1394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5475, f_measure: 0.8082, kappa: 0.1044, kb_relative_information_score: -10.1081, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.8, predictive_accuracy: 0.8176, prior_entropy: 0.5598, recall: 0.8176, relative_absolute_error: 0.8085, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.4271, root_relative_squared_error: 1.2768, usercpu_time_millis: 5.044, usercpu_time_millis_testing: 0.481, usercpu_time_millis_training: 4.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5646, f_measure: 0.8176, kappa: 0.1436, kb_relative_information_score: 6.6978, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.8091, predictive_accuracy: 0.8277, prior_entropy: 0.5598, recall: 0.8277, relative_absolute_error: 0.7636, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.4151, root_relative_squared_error: 1.2408, usercpu_time_millis: 1.313, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 1.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5175, f_measure: 0.2746, kappa: 0.0105, kb_relative_information_score: -940.0343, mean_absolute_error: 0.7432, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7979, predictive_accuracy: 0.2568, prior_entropy: 0.5598, recall: 0.2568, relative_absolute_error: 3.2938, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.8621, root_relative_squared_error: 2.5772, usercpu_time_millis: 2.169, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 2.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.8102, kappa: -0.0066, kb_relative_information_score: 73.9214, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7593, predictive_accuracy: 0.8682, prior_entropy: 0.5598, recall: 0.8682, relative_absolute_error: 0.5839, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.363, root_relative_squared_error: 1.0851, usercpu_time_millis: 0.678, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6237, f_measure: 0.8078, kappa: 0.2118, kb_relative_information_score: -49.3218, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.8255, predictive_accuracy: 0.7939, prior_entropy: 0.5598, recall: 0.7939, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.454, root_relative_squared_error: 1.3571, usercpu_time_millis: 0.391, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6075, f_measure: 0.8243, kappa: 0.215, kb_relative_information_score: 1.0958, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.8243, predictive_accuracy: 0.8243, prior_entropy: 0.5598, recall: 0.8243, relative_absolute_error: 0.7785, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.4191, root_relative_squared_error: 1.253, usercpu_time_millis: 0.36, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8118, kb_relative_information_score: 79.5234, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5598, recall: 0.8716, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3583, root_relative_squared_error: 1.0711, usercpu_time_millis: 0.308, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5425, f_measure: 0.8219, kappa: 0.1113, kb_relative_information_score: 40.3096, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.8063, predictive_accuracy: 0.848, prior_entropy: 0.5598, recall: 0.848, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.1656, usercpu_time_millis: 354.543, usercpu_time_millis_testing: 9.629, usercpu_time_millis_training: 344.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5172, f_measure: 0.7393, kappa: 0.0256, kb_relative_information_score: -194.9729, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7827, predictive_accuracy: 0.7061, prior_entropy: 0.5598, recall: 0.7061, relative_absolute_error: 1.3026, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.5421, root_relative_squared_error: 1.6207, usercpu_time_millis: 22.898, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 22.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, f_measure: 0.8088, kappa: 0.0047, kb_relative_information_score: 51.5135, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7784, predictive_accuracy: 0.8547, prior_entropy: 0.5598, recall: 0.8547, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3811, root_relative_squared_error: 1.1394, usercpu_time_millis: 2.22, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 2.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5035, f_measure: 0.8107, kappa: 0.0108, kb_relative_information_score: 57.1155, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7818, predictive_accuracy: 0.8581, prior_entropy: 0.5598, recall: 0.8581, relative_absolute_error: 0.6288, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3767, root_relative_squared_error: 1.126, usercpu_time_millis: 18.592, usercpu_time_millis_testing: 2.501, usercpu_time_millis_training: 16.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5073, f_measure: 0.8143, kappa: 0.0237, kb_relative_information_score: 68.3194, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7933, predictive_accuracy: 0.8649, prior_entropy: 0.5598, recall: 0.8649, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3676, root_relative_squared_error: 1.0989, usercpu_time_millis: 78.517, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 78.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5035, f_measure: 0.8107, kappa: 0.0108, kb_relative_information_score: 57.1155, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7818, predictive_accuracy: 0.8581, prior_entropy: 0.5598, recall: 0.8581, relative_absolute_error: 0.6288, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3767, root_relative_squared_error: 1.126, usercpu_time_millis: 4.137, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 4.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5104, f_measure: 0.8041, kappa: 0.0268, kb_relative_information_score: 12.2998, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7833, predictive_accuracy: 0.8311, prior_entropy: 0.5598, recall: 0.8311, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.411, root_relative_squared_error: 1.2286, usercpu_time_millis: 0.53, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, f_measure: 0.8085, kappa: -0.013, kb_relative_information_score: 68.3194, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.759, predictive_accuracy: 0.8649, prior_entropy: 0.5598, recall: 0.8649, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3676, root_relative_squared_error: 1.0989, usercpu_time_millis: 0.174, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5777, f_measure: 0.8224, kappa: 0.1708, kb_relative_information_score: 12.2998, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.8151, predictive_accuracy: 0.8311, prior_entropy: 0.5598, recall: 0.8311, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.411, root_relative_squared_error: 1.2286, usercpu_time_millis: 2.64, usercpu_time_millis_testing: 0.928, usercpu_time_millis_training: 1.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.8256, kappa: 0.2424, kb_relative_information_score: -4.5061, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.8307, predictive_accuracy: 0.8209, prior_entropy: 0.5598, recall: 0.8209, relative_absolute_error: 0.7935, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.4231, root_relative_squared_error: 1.2649, usercpu_time_millis: 0.942, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5274, f_measure: 0.814, kappa: 0.0718, kb_relative_information_score: 29.1057, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7956, predictive_accuracy: 0.8412, prior_entropy: 0.5598, recall: 0.8412, relative_absolute_error: 0.7037, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3985, root_relative_squared_error: 1.1912, usercpu_time_millis: 2.012, usercpu_time_millis_testing: 0.837, usercpu_time_millis_training: 1.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8118, kb_relative_information_score: 79.5234, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5598, recall: 0.8716, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3583, root_relative_squared_error: 1.0711, usercpu_time_millis: 0.156, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8118, kb_relative_information_score: 79.5234, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5598, recall: 0.8716, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3583, root_relative_squared_error: 1.0711, usercpu_time_millis: 0.275, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8118, kb_relative_information_score: 79.5234, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5598, recall: 0.8716, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3583, root_relative_squared_error: 1.0711, usercpu_time_millis: 0.624, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6013, f_measure: 0.8047, kappa: 0.1803, kb_relative_information_score: -49.3218, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.8175, predictive_accuracy: 0.7939, prior_entropy: 0.5598, recall: 0.7939, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.454, root_relative_squared_error: 1.3571, usercpu_time_millis: 1.025, usercpu_time_millis_testing: 0.668, usercpu_time_millis_training: 0.357,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5479, f_measure: 0.8187, kappa: 0.1169, kb_relative_information_score: 23.5037, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.8048, predictive_accuracy: 0.8378, prior_entropy: 0.5598, recall: 0.8378, relative_absolute_error: 0.7187, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.4027, root_relative_squared_error: 1.2038, usercpu_time_millis: 0.531, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.541, f_measure: 0.8289, kappa: 0.1196, kb_relative_information_score: 68.3194, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.8194, predictive_accuracy: 0.8649, prior_entropy: 0.5598, recall: 0.8649, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3676, root_relative_squared_error: 1.0989, usercpu_time_millis: 1.439, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 1.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.546, f_measure: 0.8164, kappa: 0.1106, kb_relative_information_score: 17.9017, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.8029, predictive_accuracy: 0.8345, prior_entropy: 0.5598, recall: 0.8345, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.4069, root_relative_squared_error: 1.2163, usercpu_time_millis: 0.846, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.524, f_measure: 0.8183, kappa: 0.0688, kb_relative_information_score: 51.5135, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7996, predictive_accuracy: 0.8547, prior_entropy: 0.5598, recall: 0.8547, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3811, root_relative_squared_error: 1.1394, usercpu_time_millis: 0.184, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.8102, kappa: -0.0066, kb_relative_information_score: 73.9214, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7593, predictive_accuracy: 0.8682, prior_entropy: 0.5598, recall: 0.8682, relative_absolute_error: 0.5839, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.363, root_relative_squared_error: 1.0851, usercpu_time_millis: 0.063, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5611, f_measure: 0.8239, kappa: 0.1469, kb_relative_information_score: 29.1057, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.8117, predictive_accuracy: 0.8412, prior_entropy: 0.5598, recall: 0.8412, relative_absolute_error: 0.7037, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3985, root_relative_squared_error: 1.1912, usercpu_time_millis: 0.37, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5193, f_measure: 0.7961, kappa: 0.0429, kb_relative_information_score: -26.914, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.786, predictive_accuracy: 0.8074, prior_entropy: 0.5598, recall: 0.8074, relative_absolute_error: 0.8534, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.4388, root_relative_squared_error: 1.3118, usercpu_time_millis: 0.293, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 0.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, f_measure: 0.8085, kappa: -0.013, kb_relative_information_score: 68.3194, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.759, predictive_accuracy: 0.8649, prior_entropy: 0.5598, recall: 0.8649, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3676, root_relative_squared_error: 1.0989, usercpu_time_millis: 0.598, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.524, f_measure: 0.8183, kappa: 0.0688, kb_relative_information_score: 51.5135, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7996, predictive_accuracy: 0.8547, prior_entropy: 0.5598, recall: 0.8547, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3811, root_relative_squared_error: 1.1394, usercpu_time_millis: 2.563, usercpu_time_millis_testing: 0.835, usercpu_time_millis_training: 1.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5042, f_measure: 0.789, kappa: 0.0093, kb_relative_information_score: -38.1179, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7783, predictive_accuracy: 0.8007, prior_entropy: 0.5598, recall: 0.8007, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.4465, root_relative_squared_error: 1.3346, usercpu_time_millis: 2.828, usercpu_time_millis_testing: 1.092, usercpu_time_millis_training: 1.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5413, f_measure: 0.7906, kappa: 0.0799, kb_relative_information_score: -60.5258, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7941, predictive_accuracy: 0.7872, prior_entropy: 0.5598, recall: 0.7872, relative_absolute_error: 0.9432, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.4613, root_relative_squared_error: 1.3791, usercpu_time_millis: 2.433, usercpu_time_millis_testing: 0.914, usercpu_time_millis_training: 1.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5298, f_measure: 0.8245, kappa: 0.0898, kb_relative_information_score: 68.3194, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.8138, predictive_accuracy: 0.8649, prior_entropy: 0.5598, recall: 0.8649, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3676, root_relative_squared_error: 1.0989, usercpu_time_millis: 8.315, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 8.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5421, f_measure: 0.812, kappa: 0.0986, kb_relative_information_score: 6.6978, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7995, predictive_accuracy: 0.8277, prior_entropy: 0.5598, recall: 0.8277, relative_absolute_error: 0.7636, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.4151, root_relative_squared_error: 1.2408, usercpu_time_millis: 0.596, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5205, f_measure: 0.8216, kappa: 0.0651, kb_relative_information_score: 73.9214, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.8151, predictive_accuracy: 0.8682, prior_entropy: 0.5598, recall: 0.8682, relative_absolute_error: 0.5839, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.363, root_relative_squared_error: 1.0851, usercpu_time_millis: 1.149, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 1.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8118, kb_relative_information_score: 79.5234, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5598, recall: 0.8716, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3583, root_relative_squared_error: 1.0711, usercpu_time_millis: 0.804, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, f_measure: 0.8088, kappa: 0.0047, kb_relative_information_score: 51.5135, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7784, predictive_accuracy: 0.8547, prior_entropy: 0.5598, recall: 0.8547, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3811, root_relative_squared_error: 1.1394, usercpu_time_millis: 1.721, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 1.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.8068, kappa: -0.0191, kb_relative_information_score: 62.7175, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7586, predictive_accuracy: 0.8615, prior_entropy: 0.5598, recall: 0.8615, relative_absolute_error: 0.6138, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3722, root_relative_squared_error: 1.1126, usercpu_time_millis: 53.321, usercpu_time_millis_testing: 2.869, usercpu_time_millis_training: 50.452,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5298, f_measure: 0.8245, kappa: 0.0898, kb_relative_information_score: 68.3194, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.8138, predictive_accuracy: 0.8649, prior_entropy: 0.5598, recall: 0.8649, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3676, root_relative_squared_error: 1.0989, usercpu_time_millis: 1.198, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 1.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8118, kb_relative_information_score: 79.5234, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5598, recall: 0.8716, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3583, root_relative_squared_error: 1.0711, usercpu_time_millis: 0.299, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8118, kb_relative_information_score: 79.5234, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5598, recall: 0.8716, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3583, root_relative_squared_error: 1.0711, usercpu_time_millis: 2.629, usercpu_time_millis_testing: 0.331, usercpu_time_millis_training: 2.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.546, f_measure: 0.8164, kappa: 0.1106, kb_relative_information_score: 17.9017, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.8029, predictive_accuracy: 0.8345, prior_entropy: 0.5598, recall: 0.8345, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.4069, root_relative_squared_error: 1.2163, usercpu_time_millis: 0.906, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5425, f_measure: 0.8219, kappa: 0.1113, kb_relative_information_score: 40.3096, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.8063, predictive_accuracy: 0.848, prior_entropy: 0.5598, recall: 0.848, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.1656, usercpu_time_millis: 1.325, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 1.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8118, kb_relative_information_score: 79.5234, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5598, recall: 0.8716, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3583, root_relative_squared_error: 1.0711, usercpu_time_millis: 1.934, usercpu_time_millis_testing: 0.475, usercpu_time_millis_training: 1.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5522, f_measure: 0.833, kappa: 0.1475, kb_relative_information_score: 68.3194, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.8238, predictive_accuracy: 0.8649, prior_entropy: 0.5598, recall: 0.8649, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3676, root_relative_squared_error: 1.0989, usercpu_time_millis: 23.326, usercpu_time_millis_testing: 3.735, usercpu_time_millis_training: 19.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, f_measure: 0.8088, kappa: 0.0047, kb_relative_information_score: -49.1578, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7784, predictive_accuracy: 0.8547, prior_entropy: 0.5598, recall: 0.8547, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.9647, scimark_benchmark: 1212.0218, usercpu_time_millis: 90.592, usercpu_time_millis_testing: 7.252, usercpu_time_millis_training: 83.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4457, f_measure: 0.789, kappa: 0.0093, kb_relative_information_score: -64.0669, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7783, predictive_accuracy: 0.8007, prior_entropy: 0.5598, recall: 0.8007, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.4253, root_relative_squared_error: 1.2715, scimark_benchmark: 1212.0218, usercpu_time_millis: 17.192, usercpu_time_millis_testing: 2.625, usercpu_time_millis_training: 14.567,

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