Task
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: 0.9921, f_measure: 0.9864, kappa: 0.9841, kb_relative_information_score: 1063.9892, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9875, predictive_accuracy: 0.9861, prior_entropy: 2.9931, recall: 0.9861, relative_absolute_error: 0.0159, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0589, root_relative_squared_error: 0.1783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 1076.848, mean_absolute_error: 0.0007, 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: 0.0032, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 1077.8718, mean_absolute_error: 0.0005, 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: 0.0021, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 1077.8718, mean_absolute_error: 0.0005, 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: 0.0021, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6107, f_measure: 0.3171, kappa: 0.2213, kb_relative_information_score: 296.2122, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.3353, predictive_accuracy: 0.3213, prior_entropy: 2.9931, recall: 0.3213, relative_absolute_error: 0.7767, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4119, root_relative_squared_error: 1.2463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, kappa: 0.4634, kb_relative_information_score: 534.1877, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.5343, prior_entropy: 2.9931, recall: 0.5343, relative_absolute_error: 0.533, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3412, root_relative_squared_error: 1.0325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 1077.8718, mean_absolute_error: 0.0005, 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: 0.0021, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 1077.8718, mean_absolute_error: 0.0005, 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: 0.0021, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7038, kappa: 0.4083, kb_relative_information_score: 479.6171, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.487, prior_entropy: 2.9931, recall: 0.487, relative_absolute_error: 0.587, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3581, root_relative_squared_error: 1.0835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kappa: 0.0032, kb_relative_information_score: 86.4164, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1417, prior_entropy: 2.9931, recall: 0.1417, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4632, root_relative_squared_error: 1.4016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6117, f_measure: 0.3216, kappa: 0.2232, kb_relative_information_score: 297.6477, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.3322, 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: 0.6113, f_measure: 0.3205, kappa: 0.222, kb_relative_information_score: 295.558, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.3322, predictive_accuracy: 0.3213, prior_entropy: 2.9931, recall: 0.3213, relative_absolute_error: 0.7767, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4119, root_relative_squared_error: 1.2463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6036, f_measure: 0.309, kappa: 0.2071, kb_relative_information_score: 282.1737, mean_absolute_error: 0.1729, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.3226, predictive_accuracy: 0.3083, prior_entropy: 2.9931, recall: 0.3083, relative_absolute_error: 0.7915, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4158, root_relative_squared_error: 1.2582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 1076.848, mean_absolute_error: 0.0007, 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: 0.0032, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5027, kappa: 0.0054, kb_relative_information_score: 88.4642, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1435, prior_entropy: 2.9931, recall: 0.1435, relative_absolute_error: 0.9801, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4627, root_relative_squared_error: 1.4001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 1078.8957, mean_absolute_error: 0.0002, 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: 0.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 1078.8957, mean_absolute_error: 0.0002, 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: 0.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.9387, kappa: 0.9301, kb_relative_information_score: 1010.3169, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.942, predictive_accuracy: 0.9389, prior_entropy: 2.9931, recall: 0.9389, relative_absolute_error: 0.0699, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5414, kappa: 0.0831, kb_relative_information_score: 163.0392, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2102, prior_entropy: 2.9931, recall: 0.2102, relative_absolute_error: 0.9038, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4444, root_relative_squared_error: 1.3445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, f_measure: 0.5957, kappa: 0.4834, kb_relative_information_score: 556.7758, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.894, predictive_accuracy: 0.5528, prior_entropy: 2.9931, recall: 0.5528, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3344, root_relative_squared_error: 1.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 1077.8718, mean_absolute_error: 0.0005, 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: 0.0021, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6044, f_measure: 0.3063, kappa: 0.2087, kb_relative_information_score: 283.3142, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.3187, predictive_accuracy: 0.3102, prior_entropy: 2.9931, recall: 0.3102, relative_absolute_error: 0.7894, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4153, root_relative_squared_error: 1.2565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.6938, kappa: 0.6765, kb_relative_information_score: 747.7734, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.7884, predictive_accuracy: 0.7185, prior_entropy: 2.9931, recall: 0.7185, relative_absolute_error: 0.3221, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2653, root_relative_squared_error: 0.8026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5613, kappa: 0.1226, kb_relative_information_score: 200.0674, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2444, prior_entropy: 2.9931, recall: 0.2444, relative_absolute_error: 0.8646, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4346, root_relative_squared_error: 1.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9926, kappa: 0.9915, kb_relative_information_score: 1071.5574, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9927, predictive_accuracy: 0.9926, prior_entropy: 2.9931, recall: 0.9926, relative_absolute_error: 0.0085, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.043, root_relative_squared_error: 0.1302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.479, f_measure: 0.0926, kappa: -0.0421, kb_relative_information_score: 31.8362, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.1137, predictive_accuracy: 0.0898, prior_entropy: 2.9931, recall: 0.0898, relative_absolute_error: 1.0416, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.477, root_relative_squared_error: 1.4433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1079.9624, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 1, predictive_accuracy: 1, prior_entropy: 2.9931, recall: 1, root_mean_prior_squared_error: 0.3305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4272, f_measure: 0.0006, kappa: -0.1453, kb_relative_information_score: -69.2138, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.0004, predictive_accuracy: 0.0009, prior_entropy: 2.9931, recall: 0.0009, relative_absolute_error: 1.1433, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.5122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9936, kappa: 0.9926, kb_relative_information_score: 1072.5189, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9937, predictive_accuracy: 0.9935, prior_entropy: 2.9931, recall: 0.9935, relative_absolute_error: 0.0074, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0403, root_relative_squared_error: 0.1218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7287, kappa: 0.458, kb_relative_information_score: 528.8545, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.5296, prior_entropy: 2.9931, recall: 0.5296, relative_absolute_error: 0.5383, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3429, root_relative_squared_error: 1.0376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, kappa: 0.4171, kb_relative_information_score: 488.407, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.4944, prior_entropy: 2.9931, recall: 0.4944, relative_absolute_error: 0.5785, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3555, root_relative_squared_error: 1.0757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1079.9624, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 1, predictive_accuracy: 1, prior_entropy: 2.9931, recall: 1, root_mean_prior_squared_error: 0.3305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6736, f_measure: 0.43, kappa: 0.3464, kb_relative_information_score: 419.596, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.4452, predictive_accuracy: 0.4296, prior_entropy: 2.9931, recall: 0.4296, relative_absolute_error: 0.6527, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3776, root_relative_squared_error: 1.1426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6107, f_measure: 0.3186, kappa: 0.221, kb_relative_information_score: 294.7908, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.3276, predictive_accuracy: 0.3204, prior_entropy: 2.9931, recall: 0.3204, relative_absolute_error: 0.7777, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4122, root_relative_squared_error: 1.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5027, kappa: 0.0054, kb_relative_information_score: 88.4642, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1435, prior_entropy: 2.9931, recall: 0.1435, relative_absolute_error: 0.9801, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4627, root_relative_squared_error: 1.4001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 1077.8718, mean_absolute_error: 0.0005, 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: 0.0021, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6236, f_measure: 0.34, kappa: 0.247, kb_relative_information_score: 321.7068, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.3528, predictive_accuracy: 0.3435, prior_entropy: 2.9931, recall: 0.3435, relative_absolute_error: 0.7513, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4051, root_relative_squared_error: 1.2258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.4073, kappa: 0.336, kb_relative_information_score: 408.8322, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.4229, predictive_accuracy: 0.4213, prior_entropy: 2.9931, recall: 0.4213, relative_absolute_error: 0.6622, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3804, root_relative_squared_error: 1.1509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8217, kappa: 0.7953, kb_relative_information_score: 872.3415, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8374, predictive_accuracy: 0.8213, prior_entropy: 2.9931, recall: 0.8213, relative_absolute_error: 0.2045, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.6395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.617, f_measure: 0.3286, kappa: 0.2337, kb_relative_information_score: 307.8473, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.3367, predictive_accuracy: 0.3315, prior_entropy: 2.9931, recall: 0.3315, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4088, root_relative_squared_error: 1.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9667, kappa: 0.9608, kb_relative_information_score: 1040.0397, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9699, predictive_accuracy: 0.9657, prior_entropy: 2.9931, recall: 0.9657, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0925, root_relative_squared_error: 0.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9917, kappa: 0.9905, kb_relative_information_score: 1070.5336, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 2.9931, recall: 0.9917, relative_absolute_error: 0.0095, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0456, root_relative_squared_error: 0.1381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 1077.8718, mean_absolute_error: 0.0005, 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: 0.0021, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.564, kappa: 0.128, kb_relative_information_score: 205.2296, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2491, prior_entropy: 2.9931, recall: 0.2491, relative_absolute_error: 0.8593, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4333, root_relative_squared_error: 1.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6191, f_measure: 0.3324, kappa: 0.2379, kb_relative_information_score: 312.3011, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.3455, predictive_accuracy: 0.3352, prior_entropy: 2.9931, recall: 0.3352, relative_absolute_error: 0.7608, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4077, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9576, kappa: 0.9502, kb_relative_information_score: 1029.3107, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9617, predictive_accuracy: 0.9565, prior_entropy: 2.9931, recall: 0.9565, relative_absolute_error: 0.0498, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8905, kappa: 0.8587, kb_relative_information_score: 936.1486, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9347, predictive_accuracy: 0.8769, prior_entropy: 2.9931, recall: 0.8769, relative_absolute_error: 0.1409, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.5309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5151, kappa: 0.0301, kb_relative_information_score: 112.0135, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1648, prior_entropy: 2.9931, recall: 0.1648, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4569, root_relative_squared_error: 1.3826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9864, kappa: 0.9841, kb_relative_information_score: 1063.9892, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9875, predictive_accuracy: 0.9861, prior_entropy: 2.9931, recall: 0.9861, relative_absolute_error: 0.0159, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0589, root_relative_squared_error: 0.1783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 1077.8718, mean_absolute_error: 0.0005, 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: 0.0021, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 1078.8957, mean_absolute_error: 0.0002, 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: 0.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 1077.8718, mean_absolute_error: 0.0005, 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: 0.0021, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5688, kappa: 0.1376, kb_relative_information_score: 214.4018, mean_absolute_error: 0.1856, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2574, prior_entropy: 2.9931, recall: 0.2574, relative_absolute_error: 0.8498, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4309, root_relative_squared_error: 1.3037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, kappa: 0.0269, kb_relative_information_score: 108.9418, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.162, prior_entropy: 2.9931, recall: 0.162, relative_absolute_error: 0.9589, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4577, root_relative_squared_error: 1.3849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kappa: 0.0032, kb_relative_information_score: 86.4164, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1417, prior_entropy: 2.9931, recall: 0.1417, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4632, root_relative_squared_error: 1.4016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.7941, kappa: 0.7635, kb_relative_information_score: 839.8623, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8091, predictive_accuracy: 0.7935, prior_entropy: 2.9931, recall: 0.7935, relative_absolute_error: 0.2363, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 1078.9385, mean_absolute_error: 0.0002, 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: 0.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.9176, kappa: 0.896, kb_relative_information_score: 973.9647, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9451, predictive_accuracy: 0.9093, prior_entropy: 2.9931, recall: 0.9093, relative_absolute_error: 0.1038, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.4557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.5836, kappa: 0.578, kb_relative_information_score: 648.5928, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.7558, predictive_accuracy: 0.6333, prior_entropy: 2.9931, recall: 0.6333, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.9161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5618, kappa: 0.1237, kb_relative_information_score: 201.0913, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2454, prior_entropy: 2.9931, recall: 0.2454, relative_absolute_error: 0.8636, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4343, root_relative_squared_error: 1.3142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 1078.8957, mean_absolute_error: 0.0002, 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: 0.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 1077.8718, mean_absolute_error: 0.0005, 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: 0.0021, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 1075.7385, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 2.9931, recall: 0.9963, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0304, root_relative_squared_error: 0.0921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5204, kappa: 0.0409, kb_relative_information_score: 122.2523, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1741, prior_entropy: 2.9931, recall: 0.1741, relative_absolute_error: 0.9452, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.3749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1079.9624, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 1, predictive_accuracy: 1, prior_entropy: 2.9931, recall: 1, root_mean_prior_squared_error: 0.3305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5054, kappa: 0.0108, kb_relative_information_score: 93.5836, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1481, prior_entropy: 2.9931, recall: 0.1481, relative_absolute_error: 0.9748, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4615, root_relative_squared_error: 1.3963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9945, kappa: 0.9936, kb_relative_information_score: 1073.5856, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9946, predictive_accuracy: 0.9944, prior_entropy: 2.9931, recall: 0.9944, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0373, root_relative_squared_error: 0.1128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9899, kappa: 0.9883, kb_relative_information_score: 1068.2095, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9901, predictive_accuracy: 0.9898, prior_entropy: 2.9931, recall: 0.9898, relative_absolute_error: 0.0117, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0505, root_relative_squared_error: 0.1527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 1078.9385, mean_absolute_error: 0.0002, 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: 0.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9945, kappa: 0.9936, kb_relative_information_score: 1073.648, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 2.9931, recall: 0.9944, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0373, root_relative_squared_error: 0.1128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6098, f_measure: 0.3195, kappa: 0.2195, kb_relative_information_score: 294.168, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.3423, predictive_accuracy: 0.3194, prior_entropy: 2.9931, recall: 0.3194, relative_absolute_error: 0.7788, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4125, root_relative_squared_error: 1.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5972, f_measure: 0.2967, kappa: 0.1943, kb_relative_information_score: 269.2722, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.3081, predictive_accuracy: 0.2972, prior_entropy: 2.9931, recall: 0.2972, relative_absolute_error: 0.8042, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4192, root_relative_squared_error: 1.2683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6246, f_measure: 0.34, kappa: 0.249, kb_relative_information_score: 323.3927, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.3539, predictive_accuracy: 0.3454, prior_entropy: 2.9931, recall: 0.3454, relative_absolute_error: 0.7491, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4045, root_relative_squared_error: 1.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 1077.8718, mean_absolute_error: 0.0005, 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: 0.0021, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 1078.9385, mean_absolute_error: 0.0002, 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: 0.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.564, kappa: 0.128, kb_relative_information_score: 205.1868, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2491, prior_entropy: 2.9931, recall: 0.2491, relative_absolute_error: 0.8593, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4333, root_relative_squared_error: 1.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.578, kappa: 0.5138, kb_relative_information_score: 588.2208, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.5975, predictive_accuracy: 0.5759, prior_entropy: 2.9931, recall: 0.5759, relative_absolute_error: 0.4853, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.9852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 1077.8718, mean_absolute_error: 0.0005, 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: 0.0021, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 1078.9385, mean_absolute_error: 0.0002, 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: 0.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6262, f_measure: 0.3467, kappa: 0.2519, kb_relative_information_score: 326.0162, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.3591, predictive_accuracy: 0.3472, prior_entropy: 2.9931, recall: 0.3472, relative_absolute_error: 0.747, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.404, root_relative_squared_error: 1.2223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 1075.8241, mean_absolute_error: 0.0009, 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: 0.0042, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0304, root_relative_squared_error: 0.0921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8815, kappa: 0.8642, kb_relative_information_score: 942.7153, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.889, predictive_accuracy: 0.8815, prior_entropy: 2.9931, recall: 0.8815, relative_absolute_error: 0.1356, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.5208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 1077.8718, mean_absolute_error: 0.0005, 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: 0.0021, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5065, kappa: 0.0129, kb_relative_information_score: 95.6314, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.15, prior_entropy: 2.9931, recall: 0.15, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.461, root_relative_squared_error: 1.3948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5382, kappa: 0.0763, kb_relative_information_score: 156.0404, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2046, prior_entropy: 2.9931, recall: 0.2046, relative_absolute_error: 0.9102, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4459, root_relative_squared_error: 1.3492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4293, f_measure: 0.0029, kappa: -0.1413, kb_relative_information_score: -65.1182, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.0021, predictive_accuracy: 0.0046, prior_entropy: 2.9931, recall: 0.0046, relative_absolute_error: 1.1391, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4988, root_relative_squared_error: 1.5094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kappa: 0.0032, kb_relative_information_score: 86.4164, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1417, prior_entropy: 2.9931, recall: 0.1417, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4632, root_relative_squared_error: 1.4016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5968, kappa: 0.1946, kb_relative_information_score: 271.5361, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.3056, prior_entropy: 2.9931, recall: 0.3056, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4167, root_relative_squared_error: 1.2607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 1076.848, mean_absolute_error: 0.0007, 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: 0.0032, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 1076.8052, mean_absolute_error: 0.0007, 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: 0.0032, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6305, f_measure: 0.3495, kappa: 0.2607, kb_relative_information_score: 335.0404, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.3599, predictive_accuracy: 0.3556, prior_entropy: 2.9931, recall: 0.3556, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4014, root_relative_squared_error: 1.2145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, f_measure: 0.3152, kappa: 0.2174, kb_relative_information_score: 291.8012, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.3303, predictive_accuracy: 0.3176, prior_entropy: 2.9931, recall: 0.3176, relative_absolute_error: 0.7809, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.413, root_relative_squared_error: 1.2497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.5451, kappa: 0.4455, kb_relative_information_score: 518.1773, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8814, predictive_accuracy: 0.5204, prior_entropy: 2.9931, recall: 0.5204, relative_absolute_error: 0.5489, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3463, root_relative_squared_error: 1.0477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 1076.848, mean_absolute_error: 0.0007, 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: 0.0032, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6118, f_measure: 0.3208, kappa: 0.2231, kb_relative_information_score: 297.0293, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.3306, 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: 0.9921, f_measure: 0.9864, kappa: 0.9841, kb_relative_information_score: 1063.9892, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9875, predictive_accuracy: 0.9861, prior_entropy: 2.9931, recall: 0.9861, relative_absolute_error: 0.0159, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0589, root_relative_squared_error: 0.1783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5618, kappa: 0.1237, kb_relative_information_score: 201.0913, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2454, prior_entropy: 2.9931, recall: 0.2454, relative_absolute_error: 0.8636, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4343, root_relative_squared_error: 1.3142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5624, kappa: 0.1247, kb_relative_information_score: 202.1152, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2463, prior_entropy: 2.9931, recall: 0.2463, relative_absolute_error: 0.8625, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4341, root_relative_squared_error: 1.3134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 1076.7, mean_absolute_error: 0.0007, 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: 0.0032, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 1077.8718, mean_absolute_error: 0.0005, 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: 0.0021, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0651,

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

OpenML bootcamp

From your own software

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

OpenML APIs