OpenML
Supervised Classification on SpeedDating

Supervised Classification on SpeedDating

Task 125969 Supervised Classification SpeedDating 1071 runs submitted
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1071 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7234, average_cost: 0.2158, f_measure: 0.8599, kappa: 0.4755, kb_relative_information_score: 3341.7694, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8569, predictive_accuracy: 0.8644, prior_entropy: 0.6457, recall: 0.8644, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9927, total_cost: 1808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, average_cost: 0.2153, f_measure: 0.8601, kappa: 0.4768, kb_relative_information_score: 3346.2005, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8572, predictive_accuracy: 0.8645, prior_entropy: 0.6457, recall: 0.8645, relative_absolute_error: 0.4922, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9923, total_cost: 1804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.724, average_cost: 0.2156, f_measure: 0.86, kappa: 0.4762, kb_relative_information_score: 3341.7694, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.857, predictive_accuracy: 0.8644, prior_entropy: 0.6457, recall: 0.8644, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9927, total_cost: 1806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, average_cost: 0.2153, f_measure: 0.8602, kappa: 0.4768, kb_relative_information_score: 3350.6317, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8572, predictive_accuracy: 0.8646, prior_entropy: 0.6457, recall: 0.8646, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.9919, total_cost: 1804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, average_cost: 0.2774, f_measure: 0.818, kappa: 0.2519, kb_relative_information_score: 983.2103, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8444, predictive_accuracy: 0.8565, prior_entropy: 0.6457, recall: 0.8565, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.8598, total_cost: 2324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, average_cost: 0.3065, f_measure: 0.7973, kappa: 0.1875, kb_relative_information_score: -180.7576, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7878, predictive_accuracy: 0.826, prior_entropy: 0.6457, recall: 0.826, relative_absolute_error: 0.8299, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3884, root_relative_squared_error: 1.0472, total_cost: 2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.654, average_cost: 0.3212, f_measure: 0.7877, kappa: 0.1902, kb_relative_information_score: 812.7798, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7787, predictive_accuracy: 0.7997, prior_entropy: 0.6457, recall: 0.7997, relative_absolute_error: 0.7342, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4318, root_relative_squared_error: 1.164, total_cost: 2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, average_cost: 0.2799, f_measure: 0.7908, kappa: 0.368, kb_relative_information_score: -510.3219, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8432, predictive_accuracy: 0.7667, prior_entropy: 0.6457, recall: 0.7667, relative_absolute_error: 0.852, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4535, root_relative_squared_error: 1.2227, total_cost: 2345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, average_cost: 0.2791, f_measure: 0.7895, kappa: 0.3715, kb_relative_information_score: -647.2097, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8462, predictive_accuracy: 0.7644, prior_entropy: 0.6457, recall: 0.7644, relative_absolute_error: 0.8666, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4564, root_relative_squared_error: 1.2303, total_cost: 2338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, average_cost: 0.2983, f_measure: 0.8025, kappa: 0.1984, kb_relative_information_score: 143.5281, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7999, predictive_accuracy: 0.8366, prior_entropy: 0.6457, recall: 0.8366, relative_absolute_error: 0.8474, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.985, total_cost: 2499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, average_cost: 0.2756, f_measure: 0.7982, kappa: 0.37, kb_relative_information_score: -100.4613, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.839, predictive_accuracy: 0.7775, prior_entropy: 0.6457, recall: 0.7775, relative_absolute_error: 0.8142, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4426, root_relative_squared_error: 1.1933, total_cost: 2309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6219, average_cost: 0.3201, f_measure: 0.7853, kappa: 0.2347, kb_relative_information_score: 257.6809, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7896, predictive_accuracy: 0.7813, prior_entropy: 0.6457, recall: 0.7813, relative_absolute_error: 0.7945, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4676, root_relative_squared_error: 1.2607, total_cost: 2682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, average_cost: 0.5044, f_measure: 0.55, kappa: 0.1695, kb_relative_information_score: -11114.0838, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8576, predictive_accuracy: 0.5031, prior_entropy: 0.6457, recall: 0.5031, relative_absolute_error: 1.7641, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6073, root_relative_squared_error: 1.6373, total_cost: 4226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, average_cost: 0.2513, f_measure: 0.8327, kappa: 0.3909, kb_relative_information_score: 2176.3739, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8324, predictive_accuracy: 0.833, prior_entropy: 0.6457, recall: 0.833, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4086, root_relative_squared_error: 1.1017, total_cost: 2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, average_cost: 0.268, f_measure: 0.8055, kappa: 0.3812, kb_relative_information_score: -466.4482, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.84, predictive_accuracy: 0.7872, prior_entropy: 0.6457, recall: 0.7872, relative_absolute_error: 0.8373, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3954, root_relative_squared_error: 1.066, total_cost: 2245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, average_cost: 0.4302, f_measure: 0.6271, kappa: 0.2285, kb_relative_information_score: -12080.6018, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.864, predictive_accuracy: 0.5783, prior_entropy: 0.6457, recall: 0.5783, relative_absolute_error: 1.6994, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.3566, total_cost: 3604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, average_cost: 0.268, f_measure: 0.8055, kappa: 0.3812, kb_relative_information_score: -466.4482, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.84, predictive_accuracy: 0.7872, prior_entropy: 0.6457, recall: 0.7872, relative_absolute_error: 0.8373, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3954, root_relative_squared_error: 1.066, total_cost: 2245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, average_cost: 0.3146, f_measure: 0.7906, kappa: 0.2344, kb_relative_information_score: 650.6004, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7893, predictive_accuracy: 0.792, prior_entropy: 0.6457, recall: 0.792, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4561, root_relative_squared_error: 1.2295, total_cost: 2636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, average_cost: 0.2672, f_measure: 0.8248, kappa: 0.3413, kb_relative_information_score: 2114.3376, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8199, predictive_accuracy: 0.8313, prior_entropy: 0.6457, recall: 0.8313, relative_absolute_error: 0.6128, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4107, root_relative_squared_error: 1.1072, total_cost: 2239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, average_cost: 0.5039, f_measure: 0.5516, kappa: 0.1689, kb_relative_information_score: -11881.2484, mean_absolute_error: 0.5081, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8557, predictive_accuracy: 0.5044, prior_entropy: 0.6457, recall: 0.5044, relative_absolute_error: 1.846, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.627, root_relative_squared_error: 1.6904, total_cost: 4222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, average_cost: 0.3146, f_measure: 0.7906, kappa: 0.2344, kb_relative_information_score: 650.6004, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7893, predictive_accuracy: 0.792, prior_entropy: 0.6457, recall: 0.792, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4561, root_relative_squared_error: 1.2295, total_cost: 2636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7234, average_cost: 0.2158, f_measure: 0.8599, kappa: 0.4755, kb_relative_information_score: 3341.7694, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8569, predictive_accuracy: 0.8644, prior_entropy: 0.6457, recall: 0.8644, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9927, total_cost: 1808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.709, average_cost: 0.224, f_measure: 0.8551, kappa: 0.4533, kb_relative_information_score: 3226.5592, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8516, predictive_accuracy: 0.8613, prior_entropy: 0.6457, recall: 0.8613, relative_absolute_error: 0.5039, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3724, root_relative_squared_error: 1.004, total_cost: 1877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 0.8353, f_measure: 0.0466, kb_relative_information_score: -21541.4435, mean_absolute_error: 0.7794, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.0271, predictive_accuracy: 0.1647, prior_entropy: 0.6457, recall: 0.1647, relative_absolute_error: 2.8319, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8385, root_relative_squared_error: 2.2605, total_cost: 6998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, average_cost: 0.2212, f_measure: 0.8574, kappa: 0.4607, kb_relative_information_score: 3319.6136, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8539, predictive_accuracy: 0.8638, prior_entropy: 0.6457, recall: 0.8638, relative_absolute_error: 0.4948, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.369, root_relative_squared_error: 0.9949, total_cost: 1853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, average_cost: 0.2221, f_measure: 0.8567, kappa: 0.4582, kb_relative_information_score: 3293.0266, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8532, predictive_accuracy: 0.8631, prior_entropy: 0.6457, recall: 0.8631, relative_absolute_error: 0.4974, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9975, total_cost: 1861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, average_cost: 0.239, f_measure: 0.8466, kappa: 0.4098, kb_relative_information_score: 1708.8476, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8426, predictive_accuracy: 0.8572, prior_entropy: 0.6457, recall: 0.8572, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.8701, total_cost: 2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, average_cost: 0.2306, f_measure: 0.8404, kappa: 0.4464, kb_relative_information_score: -3129.494, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8496, predictive_accuracy: 0.8339, prior_entropy: 0.6457, recall: 0.8339, relative_absolute_error: 1.079, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.9537, total_cost: 1932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6801, average_cost: 0.2951, f_measure: 0.8037, kappa: 0.2828, kb_relative_information_score: 536.1423, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8027, predictive_accuracy: 0.8047, prior_entropy: 0.6457, recall: 0.8047, relative_absolute_error: 0.7661, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4175, root_relative_squared_error: 1.1255, total_cost: 2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7105, average_cost: 0.223, f_measure: 0.8558, kappa: 0.4562, kb_relative_information_score: 3248.715, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8523, predictive_accuracy: 0.8619, prior_entropy: 0.6457, recall: 0.8619, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3716, root_relative_squared_error: 1.0019, total_cost: 1868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, average_cost: 0.2766, f_measure: 0.8206, kappa: 0.2864, kb_relative_information_score: 745.1598, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8166, predictive_accuracy: 0.8432, prior_entropy: 0.6457, recall: 0.8432, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.9425, total_cost: 2317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7599, average_cost: 0.5799, f_measure: 0.4653, kappa: 0.1172, kb_relative_information_score: -11730.6744, mean_absolute_error: 0.5185, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8469, predictive_accuracy: 0.4283, prior_entropy: 0.6457, recall: 0.4283, relative_absolute_error: 1.8839, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.8283, total_cost: 4858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, average_cost: 0.2217, f_measure: 0.857, kappa: 0.4595, kb_relative_information_score: 3301.8889, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8535, predictive_accuracy: 0.8633, prior_entropy: 0.6457, recall: 0.8633, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.9967, total_cost: 1857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, average_cost: 0.2378, f_measure: 0.8394, kappa: 0.4266, kb_relative_information_score: -689.1605, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8425, predictive_accuracy: 0.8367, prior_entropy: 0.6457, recall: 0.8367, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.9069, total_cost: 1992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, average_cost: 0.2781, f_measure: 0.8194, kappa: 0.282, kb_relative_information_score: 2515.0743, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.815, predictive_accuracy: 0.842, prior_entropy: 0.6457, recall: 0.842, relative_absolute_error: 0.5731, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.391, root_relative_squared_error: 1.0542, total_cost: 2330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, average_cost: 0.239, f_measure: 0.8466, kappa: 0.4098, kb_relative_information_score: 1708.8476, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8426, predictive_accuracy: 0.8572, prior_entropy: 0.6457, recall: 0.8572, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.8701, total_cost: 2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, average_cost: 0.2257, f_measure: 0.854, kappa: 0.449, kb_relative_information_score: 3182.2475, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8503, predictive_accuracy: 0.8601, prior_entropy: 0.6457, recall: 0.8601, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.374, root_relative_squared_error: 1.0083, total_cost: 1891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7599, average_cost: 0.5799, f_measure: 0.4653, kappa: 0.1172, kb_relative_information_score: -11730.6744, mean_absolute_error: 0.5185, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8469, predictive_accuracy: 0.4283, prior_entropy: 0.6457, recall: 0.4283, relative_absolute_error: 1.8839, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.8283, total_cost: 4858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7142, average_cost: 0.2252, f_measure: 0.8529, kappa: 0.4517, kb_relative_information_score: 3062.6062, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8499, predictive_accuracy: 0.8569, prior_entropy: 0.6457, recall: 0.8569, relative_absolute_error: 0.52, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3783, root_relative_squared_error: 1.0199, total_cost: 1887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, average_cost: 0.2758, f_measure: 0.7929, kappa: 0.3757, kb_relative_information_score: -413.9879, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.846, predictive_accuracy: 0.7688, prior_entropy: 0.6457, recall: 0.7688, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4474, root_relative_squared_error: 1.2062, total_cost: 2311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, average_cost: 0.2222, f_measure: 0.8497, kappa: 0.4629, kb_relative_information_score: -26.9134, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8525, predictive_accuracy: 0.8472, prior_entropy: 0.6457, recall: 0.8472, relative_absolute_error: 0.826, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8889, total_cost: 1862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, average_cost: 0.2659, f_measure: 0.8282, kappa: 0.328, kb_relative_information_score: -325.6321, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8228, predictive_accuracy: 0.8444, prior_entropy: 0.6457, recall: 0.8444, relative_absolute_error: 0.8627, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.335, root_relative_squared_error: 0.9031, total_cost: 2228,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, average_cost: 0.253, f_measure: 0.8384, kappa: 0.3592, kb_relative_information_score: -1866.9886, mean_absolute_error: 0.2791, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8381, predictive_accuracy: 0.8577, prior_entropy: 0.6457, recall: 0.8577, relative_absolute_error: 1.0142, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.9024, total_cost: 2120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, average_cost: 0.2301, f_measure: 0.8444, kappa: 0.4445, kb_relative_information_score: -131.1822, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8475, predictive_accuracy: 0.8417, prior_entropy: 0.6457, recall: 0.8417, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.8965, total_cost: 1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, average_cost: 0.2502, f_measure: 0.8408, kappa: 0.3654, kb_relative_information_score: -40.8561, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8434, predictive_accuracy: 0.8615, prior_entropy: 0.6457, recall: 0.8615, relative_absolute_error: 0.8679, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.8618, total_cost: 2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, average_cost: 0.2816, f_measure: 0.8158, kappa: 0.2508, kb_relative_information_score: 547.3455, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8223, predictive_accuracy: 0.8487, prior_entropy: 0.6457, recall: 0.8487, relative_absolute_error: 0.7962, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.332, root_relative_squared_error: 0.895, total_cost: 2359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 0.3294, f_measure: 0.7603, kb_relative_information_score: -6783.5251, mean_absolute_error: 0.3544, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.2878, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3893, root_relative_squared_error: 1.0495, total_cost: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, average_cost: 0.2835, f_measure: 0.7821, kappa: 0.3689, kb_relative_information_score: -1088.1516, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8505, predictive_accuracy: 0.7541, prior_entropy: 0.6457, recall: 0.7541, relative_absolute_error: 0.9086, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4686, root_relative_squared_error: 1.2633, total_cost: 2375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, average_cost: 0.2835, f_measure: 0.7821, kappa: 0.3689, kb_relative_information_score: -1088.1516, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8505, predictive_accuracy: 0.7541, prior_entropy: 0.6457, recall: 0.7541, relative_absolute_error: 0.9086, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4686, root_relative_squared_error: 1.2633, total_cost: 2375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, average_cost: 0.2968, f_measure: 0.8041, kappa: 0.2661, kb_relative_information_score: -1956.9596, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7988, predictive_accuracy: 0.8106, prior_entropy: 0.6457, recall: 0.8106, relative_absolute_error: 0.9794, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3857, root_relative_squared_error: 1.0398, total_cost: 2487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, average_cost: 0.2968, f_measure: 0.8041, kappa: 0.2661, kb_relative_information_score: -1956.9596, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7988, predictive_accuracy: 0.8106, prior_entropy: 0.6457, recall: 0.8106, relative_absolute_error: 0.9794, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3857, root_relative_squared_error: 1.0398, total_cost: 2487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, average_cost: 0.2208, f_measure: 0.8565, kappa: 0.4625, kb_relative_information_score: 3222.128, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8533, predictive_accuracy: 0.8612, prior_entropy: 0.6457, recall: 0.8612, relative_absolute_error: 0.5044, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3726, root_relative_squared_error: 1.0045, total_cost: 1850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5696, average_cost: 0.2879, f_measure: 0.8078, kappa: 0.2062, kb_relative_information_score: 2898.6532, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8415, predictive_accuracy: 0.8525, prior_entropy: 0.6457, recall: 0.8525, relative_absolute_error: 0.536, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3841, root_relative_squared_error: 1.0355, total_cost: 2412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, average_cost: 0.2968, f_measure: 0.8041, kappa: 0.2661, kb_relative_information_score: -1956.9596, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7988, predictive_accuracy: 0.8106, prior_entropy: 0.6457, recall: 0.8106, relative_absolute_error: 0.9794, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3857, root_relative_squared_error: 1.0398, total_cost: 2487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, average_cost: 0.2301, f_measure: 0.8444, kappa: 0.4445, kb_relative_information_score: -131.1822, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8475, predictive_accuracy: 0.8417, prior_entropy: 0.6457, recall: 0.8417, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.8965, total_cost: 1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 0.8353, f_measure: 0.0466, kb_relative_information_score: -21421.0626, mean_absolute_error: 0.7735, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.0271, predictive_accuracy: 0.1647, prior_entropy: 0.6457, recall: 0.1647, relative_absolute_error: 2.8106, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8306, root_relative_squared_error: 2.2393, total_cost: 6998,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7505, average_cost: 0.276, f_measure: 0.8211, kappa: 0.2906, kb_relative_information_score: 1092.0241, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8163, predictive_accuracy: 0.8423, prior_entropy: 0.6457, recall: 0.8423, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.9577, total_cost: 2312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, average_cost: 0.3294, f_measure: 0.7603, kb_relative_information_score: -978.4505, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.9568, total_cost: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, average_cost: 0.2566, f_measure: 0.8358, kappa: 0.3474, kb_relative_information_score: 1293.7673, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8355, predictive_accuracy: 0.8561, prior_entropy: 0.6457, recall: 0.8561, relative_absolute_error: 0.7306, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.859, total_cost: 2150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, average_cost: 0.3146, f_measure: 0.7906, kappa: 0.2344, kb_relative_information_score: 650.6004, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7893, predictive_accuracy: 0.792, prior_entropy: 0.6457, recall: 0.792, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4561, root_relative_squared_error: 1.2295, total_cost: 2636,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, average_cost: 0.3146, f_measure: 0.7906, kappa: 0.2344, kb_relative_information_score: 650.6004, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7893, predictive_accuracy: 0.792, prior_entropy: 0.6457, recall: 0.792, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4561, root_relative_squared_error: 1.2295, total_cost: 2636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, average_cost: 0.2158, f_measure: 0.8578, kappa: 0.4765, kb_relative_information_score: 3168.9541, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8562, predictive_accuracy: 0.8598, prior_entropy: 0.6457, recall: 0.8598, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3745, root_relative_squared_error: 1.0096, total_cost: 1808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, average_cost: 0.2213, f_measure: 0.8549, kappa: 0.4623, kb_relative_information_score: 3098.0555, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8525, predictive_accuracy: 0.8578, prior_entropy: 0.6457, recall: 0.8578, relative_absolute_error: 0.5165, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.377, root_relative_squared_error: 1.0165, total_cost: 1854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.732, average_cost: 0.2157, f_measure: 0.8579, kappa: 0.4768, kb_relative_information_score: 3173.3852, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8562, predictive_accuracy: 0.8599, prior_entropy: 0.6457, recall: 0.8599, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3743, root_relative_squared_error: 1.0092, total_cost: 1807,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, average_cost: 0.2159, f_measure: 0.8571, kappa: 0.4765, kb_relative_information_score: 3111.349, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.856, predictive_accuracy: 0.8582, prior_entropy: 0.6457, recall: 0.8582, relative_absolute_error: 0.5152, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3766, root_relative_squared_error: 1.0152, total_cost: 1809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5138, average_cost: 0.3225, f_measure: 0.7707, kappa: 0.0445, kb_relative_information_score: 2322.6022, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7988, predictive_accuracy: 0.837, prior_entropy: 0.6457, recall: 0.837, relative_absolute_error: 0.5924, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0886, total_cost: 2702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7193, average_cost: 0.2212, f_measure: 0.8556, kappa: 0.4621, kb_relative_information_score: 3160.0917, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8528, predictive_accuracy: 0.8595, prior_entropy: 0.6457, recall: 0.8595, relative_absolute_error: 0.5104, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3748, root_relative_squared_error: 1.0105, total_cost: 1853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, average_cost: 0.2175, f_measure: 0.8549, kappa: 0.4732, kb_relative_information_score: 2987.2764, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.855, predictive_accuracy: 0.8549, prior_entropy: 0.6457, recall: 0.8549, relative_absolute_error: 0.5274, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.381, root_relative_squared_error: 1.0271, total_cost: 1822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, average_cost: 0.2184, f_measure: 0.8496, kappa: 0.4729, kb_relative_information_score: -3044.3531, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8562, predictive_accuracy: 0.8447, prior_entropy: 0.6457, recall: 0.8447, relative_absolute_error: 1.0738, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.9403, total_cost: 1830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, average_cost: 0.2323, f_measure: 0.8523, kappa: 0.4263, kb_relative_information_score: -436.8321, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8498, predictive_accuracy: 0.8646, prior_entropy: 0.6457, recall: 0.8646, relative_absolute_error: 0.8917, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.8676, total_cost: 1946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, average_cost: 0.2187, f_measure: 0.8542, kappa: 0.4702, kb_relative_information_score: -2095.3293, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8542, predictive_accuracy: 0.8543, prior_entropy: 0.6457, recall: 0.8543, relative_absolute_error: 1.0083, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.9103, total_cost: 1832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, average_cost: 0.3294, f_measure: 0.7603, kb_relative_information_score: -3349.4868, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.1334, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3715, root_relative_squared_error: 1.0015, total_cost: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, average_cost: 0.2185, f_measure: 0.8543, kappa: 0.4705, kb_relative_information_score: -2084.3787, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8543, predictive_accuracy: 0.8543, prior_entropy: 0.6457, recall: 0.8543, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.9103, total_cost: 1831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, average_cost: 0.2187, f_measure: 0.8564, kappa: 0.4691, kb_relative_information_score: -1817.4406, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8543, predictive_accuracy: 0.8589, prior_entropy: 0.6457, recall: 0.8589, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.9011, total_cost: 1832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, average_cost: 0.2191, f_measure: 0.8492, kappa: 0.4713, kb_relative_information_score: -3075.7564, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8558, predictive_accuracy: 0.8444, prior_entropy: 0.6457, recall: 0.8444, relative_absolute_error: 1.076, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.941, total_cost: 1836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, average_cost: 0.2169, f_measure: 0.859, kappa: 0.4728, kb_relative_information_score: 3301.8889, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.856, predictive_accuracy: 0.8633, prior_entropy: 0.6457, recall: 0.8633, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.9967, total_cost: 1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.724, average_cost: 0.2162, f_measure: 0.8594, kappa: 0.4747, kb_relative_information_score: 3310.7512, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8565, predictive_accuracy: 0.8636, prior_entropy: 0.6457, recall: 0.8636, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.9958, total_cost: 1811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7219, average_cost: 0.2176, f_measure: 0.8585, kappa: 0.471, kb_relative_information_score: 3284.1643, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8555, predictive_accuracy: 0.8629, prior_entropy: 0.6457, recall: 0.8629, relative_absolute_error: 0.4983, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.9984, total_cost: 1823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, average_cost: 0.2477, f_measure: 0.8097, kappa: 0.4264, kb_relative_information_score: -5641.8956, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8624, predictive_accuracy: 0.7875, prior_entropy: 0.6457, recall: 0.7875, relative_absolute_error: 1.2481, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3902, root_relative_squared_error: 1.0519, total_cost: 2075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, average_cost: 0.2168, f_measure: 0.859, kappa: 0.4732, kb_relative_information_score: 3297.4577, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8561, predictive_accuracy: 0.8632, prior_entropy: 0.6457, recall: 0.8632, relative_absolute_error: 0.497, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9971, total_cost: 1816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, average_cost: 0.2169, f_measure: 0.8589, kappa: 0.4728, kb_relative_information_score: 3297.4577, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.856, predictive_accuracy: 0.8632, prior_entropy: 0.6457, recall: 0.8632, relative_absolute_error: 0.497, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9971, total_cost: 1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7224, average_cost: 0.2171, f_measure: 0.8588, kappa: 0.4722, kb_relative_information_score: 3297.4577, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8559, predictive_accuracy: 0.8632, prior_entropy: 0.6457, recall: 0.8632, relative_absolute_error: 0.497, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9971, total_cost: 1819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, average_cost: 0.2168, f_measure: 0.859, kappa: 0.4731, kb_relative_information_score: 3301.8889, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8561, predictive_accuracy: 0.8633, prior_entropy: 0.6457, recall: 0.8633, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.9967, total_cost: 1816,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

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

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