OpenML
Supervised Classification on SpeedDating

Supervised Classification on SpeedDating

Task 125968 Supervised Classification SpeedDating 1170 runs submitted
0 likes downloaded by 3 people , 3 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

1170 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5717, average_cost: 0.7692, f_measure: 0.2703, kappa: 0.0526, kb_relative_information_score: -18007.5668, mean_absolute_error: 0.7107, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8583, predictive_accuracy: 0.2893, prior_entropy: 0.6457, recall: 0.2893, relative_absolute_error: 2.5822, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.843, root_relative_squared_error: 2.2727, total_cost: 6444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, average_cost: 4.6999, f_measure: 0.8569, kappa: 0.4466, kb_relative_information_score: 1946.3589, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8544, predictive_accuracy: 0.8679, prior_entropy: 0.6457, recall: 0.8679, relative_absolute_error: 0.6626, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.8293, total_cost: 39376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6356, average_cost: 5.3756, f_measure: 0.7846, kappa: 0.2234, kb_relative_information_score: -999.0896, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7863, predictive_accuracy: 0.7829, prior_entropy: 0.6457, recall: 0.7829, relative_absolute_error: 0.8849, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.426, root_relative_squared_error: 1.1484, total_cost: 45037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.626, average_cost: 4.1007, f_measure: 0.662, kappa: 0.1064, kb_relative_information_score: -5626.4882, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7664, predictive_accuracy: 0.6132, prior_entropy: 0.6457, recall: 0.6132, relative_absolute_error: 1.3291, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.579, root_relative_squared_error: 1.561, total_cost: 34356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, average_cost: 1.3348, f_measure: 0.6168, kappa: 0.1985, kb_relative_information_score: -11332.4484, mean_absolute_error: 0.4656, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8431, predictive_accuracy: 0.5659, prior_entropy: 0.6457, recall: 0.5659, relative_absolute_error: 1.6918, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.529, root_relative_squared_error: 1.4261, total_cost: 11183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, average_cost: 0.9264, f_measure: 0.4745, kappa: 0.1236, kb_relative_information_score: -14389.7436, mean_absolute_error: 0.5392, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.85, predictive_accuracy: 0.4363, prior_entropy: 0.6457, recall: 0.4363, relative_absolute_error: 1.9593, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6021, root_relative_squared_error: 1.6233, total_cost: 7761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, average_cost: 0.8193, f_measure: 0.1461, kappa: 0.0198, kb_relative_information_score: -19076.6928, mean_absolute_error: 0.6832, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8524, predictive_accuracy: 0.2158, prior_entropy: 0.6457, recall: 0.2158, relative_absolute_error: 2.4825, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7512, root_relative_squared_error: 2.0251, total_cost: 6864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7422, average_cost: 0.8353, f_measure: 0.0466, kb_relative_information_score: -21924.0272, mean_absolute_error: 0.8, 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: 2.9065, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8746, root_relative_squared_error: 2.3578, total_cost: 6998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.748, average_cost: 0.8198, f_measure: 0.0893, kappa: 0.0084, kb_relative_information_score: -20041.1121, mean_absolute_error: 0.7195, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8584, predictive_accuracy: 0.1861, prior_entropy: 0.6457, recall: 0.1861, relative_absolute_error: 2.6143, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7899, root_relative_squared_error: 2.1296, total_cost: 6868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, average_cost: 3.6539, f_measure: 0.8228, kappa: 0.3909, kb_relative_information_score: -1468.597, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8347, predictive_accuracy: 0.8144, prior_entropy: 0.6457, recall: 0.8144, relative_absolute_error: 0.9611, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.363, root_relative_squared_error: 0.9787, total_cost: 30612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6604, average_cost: 0.916, f_measure: 0.5071, kappa: 0.1414, kb_relative_information_score: -11515.9152, mean_absolute_error: 0.5358, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8525, predictive_accuracy: 0.4642, prior_entropy: 0.6457, recall: 0.4642, relative_absolute_error: 1.9468, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.732, root_relative_squared_error: 1.9734, total_cost: 7674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, average_cost: 1.18, f_measure: 0.6688, kappa: 0.2533, kb_relative_information_score: -7849.0523, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8552, predictive_accuracy: 0.6213, prior_entropy: 0.6457, recall: 0.6213, relative_absolute_error: 1.4808, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5125, root_relative_squared_error: 1.3816, total_cost: 9886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6799, average_cost: 0.878, f_measure: 0.5426, kappa: 0.1642, kb_relative_information_score: -10323.9328, mean_absolute_error: 0.5037, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8565, predictive_accuracy: 0.4963, prior_entropy: 0.6457, recall: 0.4963, relative_absolute_error: 1.8301, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7097, root_relative_squared_error: 1.9134, total_cost: 7356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, average_cost: 1.0935, f_measure: 0.5389, kappa: 0.1526, kb_relative_information_score: -10505.6104, mean_absolute_error: 0.5086, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8456, predictive_accuracy: 0.4914, prior_entropy: 0.6457, recall: 0.4914, relative_absolute_error: 1.8479, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7132, root_relative_squared_error: 1.9226, total_cost: 9161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6661, average_cost: 1.0994, f_measure: 0.5388, kappa: 0.1523, kb_relative_information_score: -10510.0415, mean_absolute_error: 0.5087, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8453, predictive_accuracy: 0.4913, prior_entropy: 0.6457, recall: 0.4913, relative_absolute_error: 1.8484, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7132, root_relative_squared_error: 1.9229, total_cost: 9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, average_cost: 1.1112, f_measure: 0.5387, kappa: 0.1518, kb_relative_information_score: -10514.4727, mean_absolute_error: 0.5088, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8447, predictive_accuracy: 0.4912, prior_entropy: 0.6457, recall: 0.4912, relative_absolute_error: 1.8488, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7133, root_relative_squared_error: 1.9231, total_cost: 9310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6379, average_cost: 5.5863, f_measure: 0.7907, kappa: 0.2265, kb_relative_information_score: 331.4015, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7873, predictive_accuracy: 0.7945, prior_entropy: 0.6457, recall: 0.7945, relative_absolute_error: 0.7786, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4384, root_relative_squared_error: 1.182, total_cost: 46802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, average_cost: 6.7057, 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: 56180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, average_cost: 0.7353, f_measure: 0.4772, kappa: 0.1331, kb_relative_information_score: -14223.6618, mean_absolute_error: 0.5281, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8617, predictive_accuracy: 0.4402, prior_entropy: 0.6457, recall: 0.4402, relative_absolute_error: 1.9187, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5841, root_relative_squared_error: 1.5748, total_cost: 6160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, average_cost: 0.7288, f_measure: 0.4848, kappa: 0.1373, kb_relative_information_score: -14126.9573, mean_absolute_error: 0.5254, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8623, predictive_accuracy: 0.4466, prior_entropy: 0.6457, recall: 0.4466, relative_absolute_error: 1.909, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5813, root_relative_squared_error: 1.5671, total_cost: 6106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6062, average_cost: 0.7329, f_measure: 0.3587, kappa: 0.0824, kb_relative_information_score: -15791.9861, mean_absolute_error: 0.651, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8609, predictive_accuracy: 0.349, prior_entropy: 0.6457, recall: 0.349, relative_absolute_error: 2.3653, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8068, root_relative_squared_error: 2.1752, total_cost: 6140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5809, average_cost: 0.7538, f_measure: 0.294, kappa: 0.0602, kb_relative_information_score: -17435.947, mean_absolute_error: 0.6953, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8597, predictive_accuracy: 0.3047, prior_entropy: 0.6457, recall: 0.3047, relative_absolute_error: 2.5262, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8338, root_relative_squared_error: 2.248, total_cost: 6315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.641, average_cost: 0.7498, f_measure: 0.4452, kappa: 0.117, kb_relative_information_score: -13381.4342, mean_absolute_error: 0.5861, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8601, predictive_accuracy: 0.4139, prior_entropy: 0.6457, recall: 0.4139, relative_absolute_error: 2.1294, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7655, root_relative_squared_error: 2.0639, total_cost: 6282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, average_cost: 0.7551, f_measure: 0.236, kappa: 0.0438, kb_relative_information_score: -17438.9199, mean_absolute_error: 0.6208, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8617, predictive_accuracy: 0.2683, prior_entropy: 0.6457, recall: 0.2683, relative_absolute_error: 2.2557, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6816, root_relative_squared_error: 1.8377, total_cost: 6326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, average_cost: 0.7501, f_measure: 0.2442, kappa: 0.0461, kb_relative_information_score: -17415.7207, mean_absolute_error: 0.6203, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.862, predictive_accuracy: 0.2733, prior_entropy: 0.6457, recall: 0.2733, relative_absolute_error: 2.2538, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6814, root_relative_squared_error: 1.837, total_cost: 6284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, average_cost: 0.7826, f_measure: 0.1691, kappa: 0.0264, kb_relative_information_score: -17967.1659, mean_absolute_error: 0.6372, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8612, predictive_accuracy: 0.2291, prior_entropy: 0.6457, recall: 0.2291, relative_absolute_error: 2.3151, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.697, root_relative_squared_error: 1.879, total_cost: 6557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, average_cost: 0.7443, f_measure: 0.2438, kappa: 0.0463, kb_relative_information_score: -17393.7439, mean_absolute_error: 0.6204, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8629, predictive_accuracy: 0.2732, prior_entropy: 0.6457, recall: 0.2732, relative_absolute_error: 2.2541, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6824, root_relative_squared_error: 1.8396, total_cost: 6236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, average_cost: 0.7563, f_measure: 0.2341, kappa: 0.0432, kb_relative_information_score: -17405.9329, mean_absolute_error: 0.62, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8616, predictive_accuracy: 0.2671, prior_entropy: 0.6457, recall: 0.2671, relative_absolute_error: 2.2526, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6807, root_relative_squared_error: 1.8352, total_cost: 6336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, average_cost: 0.7501, f_measure: 0.2442, kappa: 0.0461, kb_relative_information_score: -17303.6971, mean_absolute_error: 0.6168, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.862, predictive_accuracy: 0.2733, prior_entropy: 0.6457, recall: 0.2733, relative_absolute_error: 2.2412, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6781, root_relative_squared_error: 1.8281, total_cost: 6284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6186, average_cost: 6.15, f_measure: 0.8331, kappa: 0.3217, kb_relative_information_score: 3266.4396, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8482, predictive_accuracy: 0.8624, prior_entropy: 0.6457, recall: 0.8624, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.371, root_relative_squared_error: 1.0001, total_cost: 51525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6034, average_cost: 6.3846, f_measure: 0.824, kappa: 0.2832, kb_relative_information_score: 3027.1569, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8366, predictive_accuracy: 0.8559, prior_entropy: 0.6457, recall: 0.8559, relative_absolute_error: 0.5235, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3796, root_relative_squared_error: 1.0233, total_cost: 53490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5282, average_cost: 7.7169, f_measure: 0.7807, kappa: 0.0881, kb_relative_information_score: 2420.0878, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8078, predictive_accuracy: 0.8396, prior_entropy: 0.6457, recall: 0.8396, relative_absolute_error: 0.5829, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4005, root_relative_squared_error: 1.0798, total_cost: 64652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5046, average_cost: 8.1531, f_measure: 0.7639, kappa: 0.0151, kb_relative_information_score: 2291.5841, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8086, predictive_accuracy: 0.8361, prior_entropy: 0.6457, recall: 0.8361, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4048, root_relative_squared_error: 1.0914, total_cost: 68307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6846, average_cost: 1.4922, f_measure: 0.6122, kappa: 0.1877, kb_relative_information_score: -7939.9679, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8364, predictive_accuracy: 0.5605, prior_entropy: 0.6457, recall: 0.5605, relative_absolute_error: 1.5968, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6629, root_relative_squared_error: 1.7873, total_cost: 12502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, average_cost: 1.748, f_measure: 0.6032, kappa: 0.1691, kb_relative_information_score: -8316.6166, mean_absolute_error: 0.4496, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8254, predictive_accuracy: 0.5504, prior_entropy: 0.6457, recall: 0.5504, relative_absolute_error: 1.6337, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6705, root_relative_squared_error: 1.8078, total_cost: 14645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, average_cost: 6.7526, f_measure: 0.8169, kappa: 0.2465, kb_relative_information_score: 1021.8066, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8456, predictive_accuracy: 0.8564, prior_entropy: 0.6457, recall: 0.8564, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.8567, total_cost: 56573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, average_cost: 5.164, f_measure: 0.827, kappa: 0.3408, kb_relative_information_score: 189.8344, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8212, predictive_accuracy: 0.8366, prior_entropy: 0.6457, recall: 0.8366, relative_absolute_error: 0.8326, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.9077, total_cost: 43264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 0.8353, f_measure: 0.0466, kb_relative_information_score: -22633.6994, mean_absolute_error: 0.8353, 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: 3.0349, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.9139, root_relative_squared_error: 2.4639, total_cost: 6998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, average_cost: 6.6216, f_measure: 0.8171, kappa: 0.2516, kb_relative_information_score: 1372.6996, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8321, predictive_accuracy: 0.8528, prior_entropy: 0.6457, recall: 0.8528, relative_absolute_error: 0.7428, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.8976, total_cost: 55476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 0.8353, f_measure: 0.0466, kb_relative_information_score: -22633.6994, mean_absolute_error: 0.8353, 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: 3.0349, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.9139, root_relative_squared_error: 2.4639, total_cost: 6998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5024, average_cost: 0.8312, f_measure: 0.0548, kappa: 0.0016, kb_relative_information_score: -22483.04, mean_absolute_error: 0.8312, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8625, predictive_accuracy: 0.1688, prior_entropy: 0.6457, recall: 0.1688, relative_absolute_error: 3.0202, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.9117, root_relative_squared_error: 2.458, total_cost: 6964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, average_cost: 1.0412, f_measure: 0.5755, kappa: 0.1793, kb_relative_information_score: -9216.1424, mean_absolute_error: 0.4739, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8511, predictive_accuracy: 0.5261, prior_entropy: 0.6457, recall: 0.5261, relative_absolute_error: 1.7217, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6884, root_relative_squared_error: 1.8558, total_cost: 8723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, average_cost: 1.1632, f_measure: 0.6518, kappa: 0.2372, kb_relative_information_score: -6362.4744, mean_absolute_error: 0.397, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8538, predictive_accuracy: 0.603, prior_entropy: 0.6457, recall: 0.603, relative_absolute_error: 1.4424, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6301, root_relative_squared_error: 1.6987, total_cost: 9745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.71, average_cost: 1.3424, f_measure: 0.6432, kappa: 0.2213, kb_relative_information_score: -6721.3984, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8461, predictive_accuracy: 0.5933, prior_entropy: 0.6457, recall: 0.5933, relative_absolute_error: 1.4776, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6377, root_relative_squared_error: 1.7192, total_cost: 11247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, average_cost: 6.0162, f_measure: 0.8258, kappa: 0.3029, kb_relative_information_score: 1068.5405, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8256, predictive_accuracy: 0.85, prior_entropy: 0.6457, recall: 0.85, relative_absolute_error: 0.7742, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.33, root_relative_squared_error: 0.8897, total_cost: 50404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, average_cost: 4.0821, f_measure: 0.8188, kappa: 0.364, kb_relative_information_score: 1436.3699, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8259, predictive_accuracy: 0.8131, prior_entropy: 0.6457, recall: 0.8131, relative_absolute_error: 0.6791, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.1656, total_cost: 34200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6494, average_cost: 0.9182, f_measure: 0.484, kappa: 0.1289, kb_relative_information_score: -12251.488, mean_absolute_error: 0.5556, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.851, predictive_accuracy: 0.4444, prior_entropy: 0.6457, recall: 0.4444, relative_absolute_error: 2.0188, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7454, root_relative_squared_error: 2.0096, total_cost: 7693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, average_cost: 0.8019, f_measure: 0.5422, kappa: 0.1672, kb_relative_information_score: -10319.5016, mean_absolute_error: 0.5036, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8603, predictive_accuracy: 0.4964, prior_entropy: 0.6457, recall: 0.4964, relative_absolute_error: 1.8297, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7096, root_relative_squared_error: 1.9131, total_cost: 6718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5293, average_cost: 7.7311, f_measure: 0.7821, kappa: 0.0931, kb_relative_information_score: 2544.1603, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8366, predictive_accuracy: 0.8429, prior_entropy: 0.6457, recall: 0.8429, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3963, root_relative_squared_error: 1.0685, total_cost: 64771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6887, average_cost: 0.9437, f_measure: 0.5668, kappa: 0.1774, kb_relative_information_score: -9504.1679, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8549, predictive_accuracy: 0.5184, prior_entropy: 0.6457, recall: 0.5184, relative_absolute_error: 1.7499, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.694, root_relative_squared_error: 1.871, total_cost: 7906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7538, average_cost: 1.2211, f_measure: 0.7056, kappa: 0.2925, kb_relative_information_score: -4169.0494, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8588, predictive_accuracy: 0.6621, prior_entropy: 0.6457, recall: 0.6621, relative_absolute_error: 1.2278, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5813, root_relative_squared_error: 1.5672, total_cost: 10230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, average_cost: 5.5177, f_measure: 0.8296, kappa: 0.3341, kb_relative_information_score: -381.2692, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8245, predictive_accuracy: 0.8455, prior_entropy: 0.6457, recall: 0.8455, relative_absolute_error: 0.8648, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.337, root_relative_squared_error: 0.9085, total_cost: 46227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, average_cost: 4.8977, f_measure: 0.8557, kappa: 0.4365, kb_relative_information_score: 1827.769, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8546, predictive_accuracy: 0.8689, prior_entropy: 0.6457, recall: 0.8689, relative_absolute_error: 0.6798, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.8291, total_cost: 41033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, average_cost: 1.1383, f_measure: 0.3626, kappa: 0.0669, kb_relative_information_score: -15695.0941, mean_absolute_error: 0.5935, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8263, predictive_accuracy: 0.3471, prior_entropy: 0.6457, recall: 0.3471, relative_absolute_error: 2.1564, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6732, root_relative_squared_error: 1.8149, total_cost: 9537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, average_cost: 1.136, f_measure: 0.2438, kappa: 0.0303, kb_relative_information_score: -18814.0382, mean_absolute_error: 0.7324, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8069, predictive_accuracy: 0.2676, prior_entropy: 0.6457, recall: 0.2676, relative_absolute_error: 2.6611, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8558, root_relative_squared_error: 2.3072, total_cost: 9517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, average_cost: 0.8442, f_measure: 0.528, kappa: 0.1567, kb_relative_information_score: -13178.3451, mean_absolute_error: 0.534, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8574, predictive_accuracy: 0.4833, prior_entropy: 0.6457, recall: 0.4833, relative_absolute_error: 1.9404, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6345, root_relative_squared_error: 1.7107, total_cost: 7073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5279, average_cost: 0.8316, f_measure: 0.1453, kappa: 0.0192, kb_relative_information_score: -20759.3181, mean_absolute_error: 0.7848, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8485, predictive_accuracy: 0.2152, prior_entropy: 0.6457, recall: 0.2152, relative_absolute_error: 2.8515, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8859, root_relative_squared_error: 2.3883, total_cost: 6967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, average_cost: 5.0434, f_measure: 0.8544, kappa: 0.428, kb_relative_information_score: 1665.8145, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8548, predictive_accuracy: 0.8694, prior_entropy: 0.6457, recall: 0.8694, relative_absolute_error: 0.699, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.8316, total_cost: 42254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, average_cost: 1.1586, f_measure: 0.5696, kappa: 0.1701, kb_relative_information_score: -9450.9939, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8453, predictive_accuracy: 0.5198, prior_entropy: 0.6457, recall: 0.5198, relative_absolute_error: 1.7447, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.693, root_relative_squared_error: 1.8682, total_cost: 9707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, average_cost: 1.1586, f_measure: 0.5696, kappa: 0.1701, kb_relative_information_score: -9450.9939, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8453, predictive_accuracy: 0.5198, prior_entropy: 0.6457, recall: 0.5198, relative_absolute_error: 1.7447, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.693, root_relative_squared_error: 1.8682, total_cost: 9707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, average_cost: 1.3466, f_measure: 0.6392, kappa: 0.2175, kb_relative_information_score: -7832.2641, mean_absolute_error: 0.4107, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8454, predictive_accuracy: 0.5892, prior_entropy: 0.6457, recall: 0.5892, relative_absolute_error: 1.4924, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5671, root_relative_squared_error: 1.5289, total_cost: 11282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, average_cost: 1.3124, f_measure: 0.5926, kappa: 0.1802, kb_relative_information_score: -8083.2264, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8412, predictive_accuracy: 0.5415, prior_entropy: 0.6457, recall: 0.5415, relative_absolute_error: 1.5639, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6193, root_relative_squared_error: 1.6697, total_cost: 10995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6146, average_cost: 2.4028, f_measure: 0.5715, kappa: 0.1152, kb_relative_information_score: -9610.5158, mean_absolute_error: 0.4845, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7953, predictive_accuracy: 0.5155, prior_entropy: 0.6457, recall: 0.5155, relative_absolute_error: 1.7603, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.696, root_relative_squared_error: 1.8765, total_cost: 20131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, average_cost: 5.2128, f_measure: 0.8432, kappa: 0.3868, kb_relative_information_score: 1563.5691, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8403, predictive_accuracy: 0.858, prior_entropy: 0.6457, recall: 0.858, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.8528, total_cost: 43673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, average_cost: 5.2128, f_measure: 0.8432, kappa: 0.3868, kb_relative_information_score: 1563.5691, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8403, predictive_accuracy: 0.858, prior_entropy: 0.6457, recall: 0.858, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.8528, total_cost: 43673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: -13932.5699, mean_absolute_error: 0.5, 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: 1.8167, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5, root_relative_squared_error: 1.348, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, average_cost: 5.6648, f_measure: 0.8181, kappa: 0.2942, kb_relative_information_score: 1106.2859, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8108, predictive_accuracy: 0.8329, prior_entropy: 0.6457, recall: 0.8329, relative_absolute_error: 0.7788, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3773, root_relative_squared_error: 1.0172, total_cost: 47460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, average_cost: 6.023, 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: 50461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, average_cost: 6.4495, f_measure: 0.818, kappa: 0.2611, kb_relative_information_score: 787.0884, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8238, predictive_accuracy: 0.8495, prior_entropy: 0.6457, recall: 0.8495, relative_absolute_error: 0.7885, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.9079, total_cost: 54034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, average_cost: 0.8296, f_measure: 0.6113, kappa: 0.2155, kb_relative_information_score: -11564.2714, mean_absolute_error: 0.4652, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8632, predictive_accuracy: 0.5623, prior_entropy: 0.6457, recall: 0.5623, relative_absolute_error: 1.6904, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5191, root_relative_squared_error: 1.3995, total_cost: 6950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, average_cost: 6.7057, 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: 56180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, average_cost: 6.023, 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: 50461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, average_cost: 4.6931, f_measure: 0.8578, kappa: 0.4495, kb_relative_information_score: 1917.944, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8555, predictive_accuracy: 0.8688, prior_entropy: 0.6457, recall: 0.8688, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.8311, total_cost: 39319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, average_cost: 5.5019, f_measure: 0.8375, kappa: 0.3589, kb_relative_information_score: 1087.3073, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8356, predictive_accuracy: 0.8555, prior_entropy: 0.6457, recall: 0.8555, relative_absolute_error: 0.7551, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.8756, total_cost: 46095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5309, average_cost: 0.8588, f_measure: 0.1605, kappa: 0.0214, kb_relative_information_score: -20466.8615, mean_absolute_error: 0.7769, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8413, predictive_accuracy: 0.2231, prior_entropy: 0.6457, recall: 0.2231, relative_absolute_error: 2.8228, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8814, root_relative_squared_error: 2.3763, total_cost: 7195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, average_cost: 5.5079, f_measure: 0.8374, kappa: 0.3581, kb_relative_information_score: 1132.7419, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8354, predictive_accuracy: 0.8553, prior_entropy: 0.6457, recall: 0.8553, relative_absolute_error: 0.7529, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.8759, total_cost: 46145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, average_cost: 5.4952, f_measure: 0.8383, kappa: 0.3615, kb_relative_information_score: 1105.8921, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8366, predictive_accuracy: 0.8563, prior_entropy: 0.6457, recall: 0.8563, relative_absolute_error: 0.7554, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.873, total_cost: 46039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 0.8353, f_measure: 0.0466, kb_relative_information_score: -21419.5693, 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: 2.8103, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8305, root_relative_squared_error: 2.2391, total_cost: 6998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, average_cost: 5.7391, f_measure: 0.8363, kappa: 0.3464, kb_relative_information_score: 1154.4378, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8382, predictive_accuracy: 0.8581, prior_entropy: 0.6457, recall: 0.8581, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.8611, total_cost: 48082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, average_cost: 7.0673, f_measure: 0.8063, kappa: 0.1993, kb_relative_information_score: 971.5548, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8399, predictive_accuracy: 0.8516, prior_entropy: 0.6457, recall: 0.8516, relative_absolute_error: 0.8037, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.8592, total_cost: 59210,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, average_cost: 1.1383, f_measure: 0.3626, kappa: 0.0669, kb_relative_information_score: -15695.0941, mean_absolute_error: 0.5935, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8263, predictive_accuracy: 0.3471, prior_entropy: 0.6457, recall: 0.3471, relative_absolute_error: 2.1564, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6732, root_relative_squared_error: 1.8149, total_cost: 9537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, average_cost: 1.3348, f_measure: 0.6168, kappa: 0.1985, kb_relative_information_score: -11332.4483, mean_absolute_error: 0.4656, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8431, predictive_accuracy: 0.5659, prior_entropy: 0.6457, recall: 0.5659, relative_absolute_error: 1.6918, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.529, root_relative_squared_error: 1.4261, total_cost: 11183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, average_cost: 0.8402, f_measure: 0.6297, kappa: 0.2306, kb_relative_information_score: -11339.4704, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8641, predictive_accuracy: 0.5809, prior_entropy: 0.6457, recall: 0.5809, relative_absolute_error: 1.6613, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.506, root_relative_squared_error: 1.3641, total_cost: 7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, average_cost: 0.8402, f_measure: 0.6297, kappa: 0.2306, kb_relative_information_score: -11339.4704, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8641, predictive_accuracy: 0.5809, prior_entropy: 0.6457, recall: 0.5809, relative_absolute_error: 1.6613, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.506, root_relative_squared_error: 1.3641, total_cost: 7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, average_cost: 0.7501, f_measure: 0.2442, kappa: 0.0461, kb_relative_information_score: -17415.7207, mean_absolute_error: 0.6203, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.862, predictive_accuracy: 0.2733, prior_entropy: 0.6457, recall: 0.2733, relative_absolute_error: 2.2538, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6814, root_relative_squared_error: 1.837, total_cost: 6284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, average_cost: 0.7704, f_measure: 0.2305, kappa: 0.0417, kb_relative_information_score: -17468.5679, mean_absolute_error: 0.6226, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8595, predictive_accuracy: 0.2647, prior_entropy: 0.6457, recall: 0.2647, relative_absolute_error: 2.2621, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6845, root_relative_squared_error: 1.8453, total_cost: 6454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6115, average_cost: 0.7402, f_measure: 0.3731, kappa: 0.0874, kb_relative_information_score: -15410.9062, mean_absolute_error: 0.6407, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8602, predictive_accuracy: 0.3593, prior_entropy: 0.6457, recall: 0.3593, relative_absolute_error: 2.328, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8005, root_relative_squared_error: 2.158, total_cost: 6201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, average_cost: 0.7434, f_measure: 0.3439, kappa: 0.0768, kb_relative_information_score: -16181.9283, mean_absolute_error: 0.6615, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.86, predictive_accuracy: 0.3385, prior_entropy: 0.6457, recall: 0.3385, relative_absolute_error: 2.4035, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8133, root_relative_squared_error: 2.1927, total_cost: 6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6019, average_cost: 0.7402, f_measure: 0.3485, kappa: 0.0785, kb_relative_information_score: -16062.2869, mean_absolute_error: 0.6583, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8603, predictive_accuracy: 0.3417, prior_entropy: 0.6457, recall: 0.3417, relative_absolute_error: 2.3918, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8113, root_relative_squared_error: 2.1873, total_cost: 6201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, average_cost: 1.4221, f_measure: 0.7241, kappa: 0.3075, kb_relative_information_score: -3641.7932, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8555, predictive_accuracy: 0.6833, prior_entropy: 0.6457, recall: 0.6833, relative_absolute_error: 1.1495, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5344, root_relative_squared_error: 1.4406, total_cost: 11914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, average_cost: 1.3466, f_measure: 0.6392, kappa: 0.2175, kb_relative_information_score: -7832.2669, mean_absolute_error: 0.4107, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8454, predictive_accuracy: 0.5892, prior_entropy: 0.6457, recall: 0.5892, relative_absolute_error: 1.4924, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5671, root_relative_squared_error: 1.5289, total_cost: 11282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6511, average_cost: 5.0292, f_measure: 0.7759, kappa: 0.2232, kb_relative_information_score: -495.4867, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7872, predictive_accuracy: 0.7667, prior_entropy: 0.6457, recall: 0.7667, relative_absolute_error: 0.8584, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4665, root_relative_squared_error: 1.2576, total_cost: 42135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, average_cost: 6.8858, f_measure: 0.8107, kappa: 0.2208, kb_relative_information_score: 2876.2058, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8344, predictive_accuracy: 0.8519, prior_entropy: 0.6457, recall: 0.8519, relative_absolute_error: 0.5383, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3849, root_relative_squared_error: 1.0376, total_cost: 57689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, average_cost: 5.6651, 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: 47462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, average_cost: 4.8568, f_measure: 0.8466, kappa: 0.4098, kb_relative_information_score: 1708.8616, 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: 40690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: -0.7597, mean_absolute_error: 0.2752, 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, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 0.8353, f_measure: 0.0466, kb_relative_information_score: -21419.5693, 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: 2.8103, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8305, root_relative_squared_error: 2.2391, total_cost: 6998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 0.8353, f_measure: 0.0466, kb_relative_information_score: -21419.5693, 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: 2.8103, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8305, root_relative_squared_error: 2.2391, total_cost: 6998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, average_cost: 2.4186, 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: 20263,

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