Task
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31677 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
Issue #Downvotes for this reason By


Metric:

31677 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: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 0.4488, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 0.4488, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591,
0 likes - 1 downloads - 1 reach - area_under_roc_curve: 0.9946, f_measure: 0.9687, kappa: 0.9232, kb_relative_information_score: 0.8633, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9687, predictive_accuracy: 0.9688, prior_entropy: 0.863, recall: 0.9688, relative_absolute_error: 0.1465, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.3436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9694, kappa: 0.9248, kb_relative_information_score: 0.8636, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9693, predictive_accuracy: 0.9694, prior_entropy: 0.863, recall: 0.9694, relative_absolute_error: 0.1464, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.3425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9557, kappa: 0.8913, kb_relative_information_score: 0.8503, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.9557, prior_entropy: 0.863, recall: 0.9557, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9558, kappa: 0.8917, kb_relative_information_score: 0.8637, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9558, predictive_accuracy: 0.9559, prior_entropy: 0.863, recall: 0.9559, relative_absolute_error: 0.135, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.4442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9515, kappa: 0.881, kb_relative_information_score: 0.8713, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9514, predictive_accuracy: 0.9515, prior_entropy: 0.863, recall: 0.9515, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.4873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.9396, kappa: 0.8517, kb_relative_information_score: 0.8398, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9395, predictive_accuracy: 0.9397, prior_entropy: 0.863, recall: 0.9397, relative_absolute_error: 0.1477, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.5436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.9345, kappa: 0.8366, kb_relative_information_score: 0.8299, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9366, predictive_accuracy: 0.936, prior_entropy: 0.863, recall: 0.936, relative_absolute_error: 0.1568, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.253, root_relative_squared_error: 0.5601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.9552, kappa: 0.8899, kb_relative_information_score: 0.8814, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9551, predictive_accuracy: 0.9553, prior_entropy: 0.863, recall: 0.9553, relative_absolute_error: 0.1094, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.9623, kappa: 0.9076, kb_relative_information_score: 0.9, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9623, predictive_accuracy: 0.9624, prior_entropy: 0.863, recall: 0.9624, relative_absolute_error: 0.0922, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.9391, kappa: 0.8485, kb_relative_information_score: 0.8409, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9401, predictive_accuracy: 0.9401, prior_entropy: 0.863, recall: 0.9401, relative_absolute_error: 0.1467, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.5418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.9488, kappa: 0.8743, kb_relative_information_score: 0.8642, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9487, predictive_accuracy: 0.9489, prior_entropy: 0.863, recall: 0.9489, relative_absolute_error: 0.1253, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.5006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.9506, kappa: 0.8788, kb_relative_information_score: 0.8689, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9505, predictive_accuracy: 0.9506, prior_entropy: 0.863, recall: 0.9506, relative_absolute_error: 0.1209, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.4918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.9524, kappa: 0.8826, kb_relative_information_score: 0.8745, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9525, predictive_accuracy: 0.9528, prior_entropy: 0.863, recall: 0.9528, relative_absolute_error: 0.1157, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.4811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.9569, kappa: 0.8942, kb_relative_information_score: 0.8858, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.1053, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.4589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.714, f_measure: 0.7668, kappa: 0.4283, kb_relative_information_score: 0.3806, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7667, predictive_accuracy: 0.7669, prior_entropy: 0.863, recall: 0.7669, relative_absolute_error: 0.5713, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4828, root_relative_squared_error: 1.0689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9642, kappa: 0.9122, kb_relative_information_score: 0.9047, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.0879, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.4192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.9599, kappa: 0.9017, kb_relative_information_score: 0.8936, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.96, prior_entropy: 0.863, recall: 0.96, relative_absolute_error: 0.0981, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.9364, kappa: 0.8435, kb_relative_information_score: 0.8316, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9362, predictive_accuracy: 0.9366, prior_entropy: 0.863, recall: 0.9366, relative_absolute_error: 0.1553, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.5573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.95, kappa: 0.8761, kb_relative_information_score: 0.8686, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9504, predictive_accuracy: 0.9506, prior_entropy: 0.863, recall: 0.9506, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.9546, kappa: 0.8888, kb_relative_information_score: 0.8793, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9546, predictive_accuracy: 0.9546, prior_entropy: 0.863, recall: 0.9546, relative_absolute_error: 0.1113, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.4717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.885, kappa: 0.7181, kb_relative_information_score: 0.6943, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8849, predictive_accuracy: 0.885, prior_entropy: 0.863, recall: 0.885, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.7509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.9629, kappa: 0.909, kb_relative_information_score: 0.9015, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.4263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.959, kappa: 0.8993, kb_relative_information_score: 0.8915, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.959, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.1001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.9572, kappa: 0.8952, kb_relative_information_score: 0.8862, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9572, prior_entropy: 0.863, recall: 0.9572, relative_absolute_error: 0.1049, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.4581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.9332, kappa: 0.8329, kb_relative_information_score: 0.8267, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9357, predictive_accuracy: 0.9348, prior_entropy: 0.863, recall: 0.9348, relative_absolute_error: 0.1598, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.5654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.9192, kappa: 0.7969, kb_relative_information_score: 0.7928, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9242, predictive_accuracy: 0.922, prior_entropy: 0.863, recall: 0.922, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.6183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.9362, kappa: 0.8407, kb_relative_information_score: 0.8342, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9382, predictive_accuracy: 0.9376, prior_entropy: 0.863, recall: 0.9376, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.5531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9641, kappa: 0.912, kb_relative_information_score: 0.9045, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9641, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.0881, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.9355, kappa: 0.8423, kb_relative_information_score: 0.8283, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9357, predictive_accuracy: 0.9354, prior_entropy: 0.863, recall: 0.9354, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2542, root_relative_squared_error: 0.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.9572, kappa: 0.8952, kb_relative_information_score: 0.8863, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9572, prior_entropy: 0.863, recall: 0.9572, relative_absolute_error: 0.1049, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, f_measure: 0.6741, kappa: 0.1749, kb_relative_information_score: 0.3372, mean_absolute_error: 0.2494, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8054, predictive_accuracy: 0.7506, prior_entropy: 0.863, recall: 0.7506, relative_absolute_error: 0.6112, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.1057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9587, kappa: 0.8989, kb_relative_information_score: 0.8903, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9587, predictive_accuracy: 0.9587, prior_entropy: 0.863, recall: 0.9587, relative_absolute_error: 0.1012, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.9243, kappa: 0.8102, kb_relative_information_score: 0.805, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9281, predictive_accuracy: 0.9266, prior_entropy: 0.863, recall: 0.9266, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2709, root_relative_squared_error: 0.5998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9621, kappa: 0.9069, kb_relative_information_score: 0.8993, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.9621, prior_entropy: 0.863, recall: 0.9621, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.4309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.9388, kappa: 0.8502, kb_relative_information_score: 0.8371, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9389, predictive_accuracy: 0.9387, prior_entropy: 0.863, recall: 0.9387, relative_absolute_error: 0.1502, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.5482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.9563, kappa: 0.8929, kb_relative_information_score: 0.8838, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9563, prior_entropy: 0.863, recall: 0.9563, relative_absolute_error: 0.1071, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.4629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.9483, kappa: 0.8727, kb_relative_information_score: 0.8632, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9482, predictive_accuracy: 0.9485, prior_entropy: 0.863, recall: 0.9485, relative_absolute_error: 0.1261, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.5023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.9331, kappa: 0.8363, kb_relative_information_score: 0.8218, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9332, predictive_accuracy: 0.9329, prior_entropy: 0.863, recall: 0.9329, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.5733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.83, kappa: 0.563, kb_relative_information_score: 0.5962, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8666, predictive_accuracy: 0.848, prior_entropy: 0.863, recall: 0.848, relative_absolute_error: 0.3724, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.9294, kappa: 0.8256, kb_relative_information_score: 0.8141, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9294, predictive_accuracy: 0.93, prior_entropy: 0.863, recall: 0.93, relative_absolute_error: 0.1714, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.5855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.9517, kappa: 0.8817, kb_relative_information_score: 0.8716, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9517, predictive_accuracy: 0.9517, prior_entropy: 0.863, recall: 0.9517, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.4867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7012, f_measure: 0.8004, kappa: 0.4862, kb_relative_information_score: 0.5389, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8516, predictive_accuracy: 0.8265, prior_entropy: 0.863, recall: 0.8265, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.9222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.9409, kappa: 0.8553, kb_relative_information_score: 0.843, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.941, predictive_accuracy: 0.9409, prior_entropy: 0.863, recall: 0.9409, relative_absolute_error: 0.1448, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.5381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.9558, kappa: 0.8918, kb_relative_information_score: 0.8825, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9558, predictive_accuracy: 0.9558, prior_entropy: 0.863, recall: 0.9558, relative_absolute_error: 0.1084, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.9425, kappa: 0.8592, kb_relative_information_score: 0.8473, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9425, predictive_accuracy: 0.9425, prior_entropy: 0.863, recall: 0.9425, relative_absolute_error: 0.1408, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.5308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2411, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.6999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.5344, root_relative_squared_error: 1.1831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.9557, kappa: 0.8914, kb_relative_information_score: 0.8821, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.9556, prior_entropy: 0.863, recall: 0.9556, relative_absolute_error: 0.1087, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.4663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.9583, kappa: 0.8974, kb_relative_information_score: 0.8898, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9583, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.1016, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.4508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9642, kappa: 0.9124, kb_relative_information_score: 0.9049, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9642, prior_entropy: 0.863, recall: 0.9642, relative_absolute_error: 0.0877, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.9155, kappa: 0.7871, kb_relative_information_score: 0.7841, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9218, predictive_accuracy: 0.9188, prior_entropy: 0.863, recall: 0.9188, relative_absolute_error: 0.1991, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.285, root_relative_squared_error: 0.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9636, kappa: 0.9107, kb_relative_information_score: 0.9033, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9636, predictive_accuracy: 0.9636, prior_entropy: 0.863, recall: 0.9636, relative_absolute_error: 0.0892, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.9189, kappa: 0.7979, kb_relative_information_score: 0.7889, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9201, predictive_accuracy: 0.9206, prior_entropy: 0.863, recall: 0.9206, relative_absolute_error: 0.1947, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2819, root_relative_squared_error: 0.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9542, kappa: 0.8868, kb_relative_information_score: 0.8792, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9543, predictive_accuracy: 0.9545, prior_entropy: 0.863, recall: 0.9545, relative_absolute_error: 0.1114, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.6823, kappa: 0.1944, kb_relative_information_score: 0.3501, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8146, predictive_accuracy: 0.7554, prior_entropy: 0.863, recall: 0.7554, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.0949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9628, kappa: 0.9089, kb_relative_information_score: 0.9012, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9628, predictive_accuracy: 0.9628, prior_entropy: 0.863, recall: 0.9628, relative_absolute_error: 0.0911, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9599, kappa: 0.9016, kb_relative_information_score: 0.8935, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 0.863, recall: 0.9599, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.4431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.935, kappa: 0.8378, kb_relative_information_score: 0.8315, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9374, predictive_accuracy: 0.9366, prior_entropy: 0.863, recall: 0.9366, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.5575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9637, kappa: 0.911, kb_relative_information_score: 0.9035, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9637, prior_entropy: 0.863, recall: 0.9637, relative_absolute_error: 0.089, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.946, kappa: 0.8675, kb_relative_information_score: 0.8568, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.946, predictive_accuracy: 0.9461, prior_entropy: 0.863, recall: 0.9461, relative_absolute_error: 0.1321, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9641, kappa: 0.9121, kb_relative_information_score: 0.9046, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9641, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.0879, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.4194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.8306, kappa: 0.5851, kb_relative_information_score: 0.5499, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8307, predictive_accuracy: 0.8306, prior_entropy: 0.863, recall: 0.8306, relative_absolute_error: 0.4151, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.9111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9595, kappa: 0.9006, kb_relative_information_score: 0.8926, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.099, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.963, kappa: 0.9092, kb_relative_information_score: 0.9016, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.963, predictive_accuracy: 0.963, prior_entropy: 0.863, recall: 0.963, relative_absolute_error: 0.0907, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.9561, kappa: 0.8922, kb_relative_information_score: 0.8834, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.863, recall: 0.9561, relative_absolute_error: 0.1075, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.4637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.9504, kappa: 0.8782, kb_relative_information_score: 0.8682, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9503, predictive_accuracy: 0.9504, prior_entropy: 0.863, recall: 0.9504, relative_absolute_error: 0.1215, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.9602, kappa: 0.9024, kb_relative_information_score: 0.8943, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.0975, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.9585, kappa: 0.8979, kb_relative_information_score: 0.8901, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9584, predictive_accuracy: 0.9586, prior_entropy: 0.863, recall: 0.9586, relative_absolute_error: 0.1014, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.9592, kappa: 0.8999, kb_relative_information_score: 0.8919, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9593, prior_entropy: 0.863, recall: 0.9593, relative_absolute_error: 0.0997, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.4465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7125, f_measure: 0.8094, kappa: 0.5093, kb_relative_information_score: 0.5559, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8561, predictive_accuracy: 0.8328, prior_entropy: 0.863, recall: 0.8328, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.9051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.9504, kappa: 0.8784, kb_relative_information_score: 0.8684, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9504, predictive_accuracy: 0.9505, prior_entropy: 0.863, recall: 0.9505, relative_absolute_error: 0.1214, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.4927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6256, f_measure: 0.7358, kappa: 0.3229, kb_relative_information_score: 0.4286, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8279, predictive_accuracy: 0.7849, prior_entropy: 0.863, recall: 0.7849, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4637, root_relative_squared_error: 1.0266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.9542, kappa: 0.8878, kb_relative_information_score: 0.8781, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9542, predictive_accuracy: 0.9541, prior_entropy: 0.863, recall: 0.9541, relative_absolute_error: 0.1124, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.4742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.9602, kappa: 0.9025, kb_relative_information_score: 0.8942, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.0975, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.8725, kappa: 0.6744, kb_relative_information_score: 0.6858, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.892, predictive_accuracy: 0.8817, prior_entropy: 0.863, recall: 0.8817, relative_absolute_error: 0.2898, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.7613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.9348, kappa: 0.8405, kb_relative_information_score: 0.8264, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9349, predictive_accuracy: 0.9347, prior_entropy: 0.863, recall: 0.9347, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.5659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.9631, kappa: 0.9096, kb_relative_information_score: 0.9022, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.0902, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.4248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.9441, kappa: 0.8631, kb_relative_information_score: 0.8514, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9441, predictive_accuracy: 0.9441, prior_entropy: 0.863, recall: 0.9441, relative_absolute_error: 0.137, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.5235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.9633, kappa: 0.91, kb_relative_information_score: 0.9026, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.4238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.9501, kappa: 0.8776, kb_relative_information_score: 0.8676, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9501, predictive_accuracy: 0.9502, prior_entropy: 0.863, recall: 0.9502, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.4943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9584, kappa: 0.8982, kb_relative_information_score: 0.8895, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9584, prior_entropy: 0.863, recall: 0.9584, relative_absolute_error: 0.1019, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.4514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.9611, kappa: 0.9046, kb_relative_information_score: 0.8967, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.4365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.9574, kappa: 0.8956, kb_relative_information_score: 0.8867, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9574, predictive_accuracy: 0.9574, prior_entropy: 0.863, recall: 0.9574, relative_absolute_error: 0.1044, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.8551, kappa: 0.6287, kb_relative_information_score: 0.6482, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8813, predictive_accuracy: 0.8676, prior_entropy: 0.863, recall: 0.8676, relative_absolute_error: 0.3244, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.8055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.9565, kappa: 0.8932, kb_relative_information_score: 0.8849, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9565, predictive_accuracy: 0.9567, prior_entropy: 0.863, recall: 0.9567, relative_absolute_error: 0.1062, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.4608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.95, kappa: 0.877, kb_relative_information_score: 0.8674, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9499, predictive_accuracy: 0.9501, prior_entropy: 0.863, recall: 0.9501, relative_absolute_error: 0.1223, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.4946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.8205, kappa: 0.5381, kb_relative_information_score: 0.5791, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.865, predictive_accuracy: 0.8416, prior_entropy: 0.863, recall: 0.8416, relative_absolute_error: 0.3882, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.398, root_relative_squared_error: 0.8811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.9562, kappa: 0.8927, kb_relative_information_score: 0.8835, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9562, prior_entropy: 0.863, recall: 0.9562, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.4635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.8414, kappa: 0.5929, kb_relative_information_score: 0.6195, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8732, predictive_accuracy: 0.8568, prior_entropy: 0.863, recall: 0.8568, relative_absolute_error: 0.3509, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.8377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.9651, kappa: 0.9145, kb_relative_information_score: 0.9072, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9651, predictive_accuracy: 0.9651, prior_entropy: 0.863, recall: 0.9651, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.4138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.9621, kappa: 0.907, kb_relative_information_score: 0.8994, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9621, prior_entropy: 0.863, recall: 0.9621, relative_absolute_error: 0.0928, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.9357, kappa: 0.8418, kb_relative_information_score: 0.8301, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9356, predictive_accuracy: 0.9361, prior_entropy: 0.863, recall: 0.9361, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.5598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5868, f_measure: 0.6976, kappa: 0.2298, kb_relative_information_score: 0.3691, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8098, predictive_accuracy: 0.7625, prior_entropy: 0.863, recall: 0.7625, relative_absolute_error: 0.5819, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4873, root_relative_squared_error: 1.0788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, f_measure: 0.718, kappa: 0.3089, kb_relative_information_score: 0.2508, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.718, predictive_accuracy: 0.718, prior_entropy: 0.863, recall: 0.718, relative_absolute_error: 0.6909, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.531, root_relative_squared_error: 1.1755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.868, kappa: 0.6624, kb_relative_information_score: 0.6759, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8893, predictive_accuracy: 0.878, prior_entropy: 0.863, recall: 0.878, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.7732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9624, kappa: 0.9077, kb_relative_information_score: 0.9, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9623, predictive_accuracy: 0.9624, prior_entropy: 0.863, recall: 0.9624, relative_absolute_error: 0.0922, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9618, kappa: 0.9062, kb_relative_information_score: 0.8985, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.4326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.9618, kappa: 0.9064, kb_relative_information_score: 0.8987, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9618, predictive_accuracy: 0.9619, prior_entropy: 0.863, recall: 0.9619, relative_absolute_error: 0.0934, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.4323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6331, f_measure: 0.7424, kappa: 0.3391, kb_relative_information_score: 0.4375, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8259, predictive_accuracy: 0.7883, prior_entropy: 0.863, recall: 0.7883, relative_absolute_error: 0.5187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4601, root_relative_squared_error: 1.0186,

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