OpenML
Supervised Classification on anneal

Supervised Classification on anneal

Task 2 Supervised Classification anneal 5745 runs submitted
0 likes downloaded by 2 people , 2 total downloads 0 issues
Visibility: Public
  • at2 basic d3m study_1 study_107 study_14 study_41 study_70 study_73 under100k
Issue #Downvotes for this reason By


Metric:

5745 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: 0.9357, f_measure: 0.8646, kappa: 0.672, kb_relative_information_score: 563.385, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8657, predictive_accuracy: 0.8653, prior_entropy: 1.2149, recall: 0.8653, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6377, f_measure: 0.7336, kappa: 0.2933, kb_relative_information_score: 212.0403, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.759, predictive_accuracy: 0.8018, prior_entropy: 1.2149, recall: 0.8018, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.9083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9065, kappa: 0.7749, kb_relative_information_score: 636.4825, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9038, predictive_accuracy: 0.9098, prior_entropy: 1.2149, recall: 0.9098, relative_absolute_error: 0.313, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.5862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.9399, kappa: 0.8502, kb_relative_information_score: 745.5171, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.94, predictive_accuracy: 0.9399, prior_entropy: 1.2149, recall: 0.9399, relative_absolute_error: 0.1549, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.5162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5706, f_measure: 0.6698, kappa: 0.057, kb_relative_information_score: 48.7054, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6081, predictive_accuracy: 0.7572, prior_entropy: 1.2149, recall: 0.7572, relative_absolute_error: 0.9596, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.9873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.9287, kappa: 0.8228, kb_relative_information_score: 720.1869, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9303, predictive_accuracy: 0.9298, prior_entropy: 1.2149, recall: 0.9298, relative_absolute_error: 0.1866, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.136, root_relative_squared_error: 0.5267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9168, kappa: 0.7964, kb_relative_information_score: 663.9382, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9165, predictive_accuracy: 0.9187, prior_entropy: 1.2149, recall: 0.9187, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.5542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7372, kappa: 0.3331, kb_relative_information_score: 274.2063, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7153, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7372, kappa: 0.3331, kb_relative_information_score: 274.2063, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7153, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.7967, kappa: 0.4793, kb_relative_information_score: 416.7994, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7945, predictive_accuracy: 0.8085, prior_entropy: 1.2149, recall: 0.8085, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.7872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8033, kappa: 0.4974, kb_relative_information_score: 436.5848, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8009, predictive_accuracy: 0.8151, prior_entropy: 1.2149, recall: 0.8151, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.7729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8648, kappa: 0.6673, kb_relative_information_score: 561.1878, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8717, predictive_accuracy: 0.8664, prior_entropy: 1.2149, recall: 0.8664, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.171, root_relative_squared_error: 0.6622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8658, kappa: 0.6753, kb_relative_information_score: 565.8146, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8671, predictive_accuracy: 0.8664, prior_entropy: 1.2149, recall: 0.8664, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.6614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.7954, kappa: 0.4708, kb_relative_information_score: 420.4493, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7914, predictive_accuracy: 0.8096, prior_entropy: 1.2149, recall: 0.8096, relative_absolute_error: 0.5691, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.202, root_relative_squared_error: 0.7823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.7912, kappa: 0.4499, kb_relative_information_score: 406.1414, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7859, predictive_accuracy: 0.814, prior_entropy: 1.2149, recall: 0.814, relative_absolute_error: 0.592, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.7946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6377, f_measure: 0.7336, kappa: 0.2933, kb_relative_information_score: 212.0403, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.759, predictive_accuracy: 0.8018, prior_entropy: 1.2149, recall: 0.8018, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.9083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.7296, kappa: 0.2989, kb_relative_information_score: 240.8563, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7058, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.7987, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.9018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5195, f_measure: 0.6597, kappa: 0.0083, kb_relative_information_score: 18.4859, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.592, predictive_accuracy: 0.7584, prior_entropy: 1.2149, recall: 0.7584, relative_absolute_error: 0.9827, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8261, kappa: 0.5784, kb_relative_information_score: 489.9013, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8283, predictive_accuracy: 0.8263, prior_entropy: 1.2149, recall: 0.8263, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.7366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.9249, kappa: 0.8118, kb_relative_information_score: 697.7846, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9266, predictive_accuracy: 0.9265, prior_entropy: 1.2149, recall: 0.9265, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.5439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.9103, kappa: 0.7856, kb_relative_information_score: 649.3064, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9085, predictive_accuracy: 0.9131, prior_entropy: 1.2149, recall: 0.9131, relative_absolute_error: 0.2953, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.5709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6377, f_measure: 0.7336, kappa: 0.2933, kb_relative_information_score: 212.0403, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.759, predictive_accuracy: 0.8018, prior_entropy: 1.2149, recall: 0.8018, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.9083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.8703, kappa: 0.682, kb_relative_information_score: 579.7217, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8781, predictive_accuracy: 0.8686, prior_entropy: 1.2149, recall: 0.8686, relative_absolute_error: 0.3967, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.6531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.878, kappa: 0.6992, kb_relative_information_score: 591.4552, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8742, predictive_accuracy: 0.882, prior_entropy: 1.2149, recall: 0.882, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9168, kappa: 0.7964, kb_relative_information_score: 663.9382, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9165, predictive_accuracy: 0.9187, prior_entropy: 1.2149, recall: 0.9187, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.5542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.7812, kappa: 0.4184, kb_relative_information_score: 381.5594, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7908, predictive_accuracy: 0.8151, prior_entropy: 1.2149, recall: 0.8151, relative_absolute_error: 0.6185, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.802, kappa: 0.4914, kb_relative_information_score: 432.252, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7987, predictive_accuracy: 0.8151, prior_entropy: 1.2149, recall: 0.8151, relative_absolute_error: 0.5572, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7372, kappa: 0.3331, kb_relative_information_score: 274.2063, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7153, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9175, kappa: 0.7977, kb_relative_information_score: 673.1439, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.922, predictive_accuracy: 0.9209, prior_entropy: 1.2149, recall: 0.9209, relative_absolute_error: 0.259, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.5515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.8209, kappa: 0.5564, kb_relative_information_score: 477.7263, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8191, predictive_accuracy: 0.8229, prior_entropy: 1.2149, recall: 0.8229, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.7456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8658, kappa: 0.6753, kb_relative_information_score: 568.3759, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8671, predictive_accuracy: 0.8664, prior_entropy: 1.2149, recall: 0.8664, relative_absolute_error: 0.4031, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.6614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9113, kappa: 0.783, kb_relative_information_score: 669.3527, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9155, predictive_accuracy: 0.9143, prior_entropy: 1.2149, recall: 0.9143, relative_absolute_error: 0.2604, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.5679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8261, kappa: 0.5784, kb_relative_information_score: 489.9013, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8283, predictive_accuracy: 0.8263, prior_entropy: 1.2149, recall: 0.8263, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.7366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6377, f_measure: 0.7336, kappa: 0.2933, kb_relative_information_score: 212.0403, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.759, predictive_accuracy: 0.8018, prior_entropy: 1.2149, recall: 0.8018, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.9083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.878, kappa: 0.6992, kb_relative_information_score: 591.4552, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8742, predictive_accuracy: 0.882, prior_entropy: 1.2149, recall: 0.882, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9075, kappa: 0.7778, kb_relative_information_score: 662.8863, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9051, predictive_accuracy: 0.9109, prior_entropy: 1.2149, recall: 0.9109, relative_absolute_error: 0.2691, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.5662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.878, kappa: 0.6992, kb_relative_information_score: 591.4552, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8742, predictive_accuracy: 0.882, prior_entropy: 1.2149, recall: 0.882, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8033, kappa: 0.4974, kb_relative_information_score: 436.5848, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8009, predictive_accuracy: 0.8151, prior_entropy: 1.2149, recall: 0.8151, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.7729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9199, kappa: 0.8008, kb_relative_information_score: 691.1143, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9201, predictive_accuracy: 0.9209, prior_entropy: 1.2149, recall: 0.9209, relative_absolute_error: 0.2348, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.5503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8126, kappa: 0.5182, kb_relative_information_score: 453.3791, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8075, predictive_accuracy: 0.8218, prior_entropy: 1.2149, recall: 0.8218, relative_absolute_error: 0.5384, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.7636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.9287, kappa: 0.8228, kb_relative_information_score: 720.1869, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9303, predictive_accuracy: 0.9298, prior_entropy: 1.2149, recall: 0.9298, relative_absolute_error: 0.1866, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.136, root_relative_squared_error: 0.5267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9119, kappa: 0.7884, kb_relative_information_score: 646.9625, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.909, predictive_accuracy: 0.9154, prior_entropy: 1.2149, recall: 0.9154, relative_absolute_error: 0.2995, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.5807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8261, kappa: 0.5784, kb_relative_information_score: 489.9013, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8283, predictive_accuracy: 0.8263, prior_entropy: 1.2149, recall: 0.8263, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.7366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.7926, kappa: 0.451, kb_relative_information_score: 334.4759, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7912, predictive_accuracy: 0.8207, prior_entropy: 1.2149, recall: 0.8207, relative_absolute_error: 0.6604, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.8343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: 4.1952, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9071, kappa: 0.7702, kb_relative_information_score: 643.6575, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9067, predictive_accuracy: 0.9098, prior_entropy: 1.2149, recall: 0.9098, relative_absolute_error: 0.3048, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.5831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9163, kappa: 0.7965, kb_relative_information_score: 674.7838, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9208, predictive_accuracy: 0.9187, prior_entropy: 1.2149, recall: 0.9187, relative_absolute_error: 0.2546, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.5598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.8989, kappa: 0.7575, kb_relative_information_score: 640.3922, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8984, predictive_accuracy: 0.9009, prior_entropy: 1.2149, recall: 0.9009, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.5938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.878, kappa: 0.6992, kb_relative_information_score: 591.4552, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8742, predictive_accuracy: 0.882, prior_entropy: 1.2149, recall: 0.882, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.9399, kappa: 0.8502, kb_relative_information_score: 745.5171, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.94, predictive_accuracy: 0.9399, prior_entropy: 1.2149, recall: 0.9399, relative_absolute_error: 0.1549, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.5162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.8202, kappa: 0.5331, kb_relative_information_score: 406.2748, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8155, predictive_accuracy: 0.8374, prior_entropy: 1.2149, recall: 0.8374, relative_absolute_error: 0.5853, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.7859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.7954, kappa: 0.4708, kb_relative_information_score: 420.4493, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7914, predictive_accuracy: 0.8096, prior_entropy: 1.2149, recall: 0.8096, relative_absolute_error: 0.5691, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.202, root_relative_squared_error: 0.7823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8648, kappa: 0.6673, kb_relative_information_score: 561.1878, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8717, predictive_accuracy: 0.8664, prior_entropy: 1.2149, recall: 0.8664, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.171, root_relative_squared_error: 0.6622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9168, kappa: 0.7964, kb_relative_information_score: 663.9382, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9165, predictive_accuracy: 0.9187, prior_entropy: 1.2149, recall: 0.9187, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.5542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9288, kappa: 0.8221, kb_relative_information_score: 693.0183, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9316, predictive_accuracy: 0.931, prior_entropy: 1.2149, recall: 0.931, relative_absolute_error: 0.2332, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.5337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7103, f_measure: 0.7459, kappa: 0.3228, kb_relative_information_score: 264.0376, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7371, predictive_accuracy: 0.7929, prior_entropy: 1.2149, recall: 0.7929, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.8883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8033, kappa: 0.4974, kb_relative_information_score: 436.5848, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8009, predictive_accuracy: 0.8151, prior_entropy: 1.2149, recall: 0.8151, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.7729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.7423, kappa: 0.314, kb_relative_information_score: 221.2359, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7801, predictive_accuracy: 0.8051, prior_entropy: 1.2149, recall: 0.8051, relative_absolute_error: 0.7851, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.8993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.8734, kappa: 0.6891, kb_relative_information_score: 588.6584, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8707, predictive_accuracy: 0.8764, prior_entropy: 1.2149, recall: 0.8764, relative_absolute_error: 0.3754, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9075, kappa: 0.7778, kb_relative_information_score: 662.8863, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9051, predictive_accuracy: 0.9109, prior_entropy: 1.2149, recall: 0.9109, relative_absolute_error: 0.2691, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.5662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.8646, kappa: 0.672, kb_relative_information_score: 563.385, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8657, predictive_accuracy: 0.8653, prior_entropy: 1.2149, recall: 0.8653, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.93, kappa: 0.8252, kb_relative_information_score: 701.9866, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9324, predictive_accuracy: 0.9321, prior_entropy: 1.2149, recall: 0.9321, relative_absolute_error: 0.2195, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.5298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8235, kappa: 0.5715, kb_relative_information_score: 481.8586, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8252, predictive_accuracy: 0.8241, prior_entropy: 1.2149, recall: 0.8241, relative_absolute_error: 0.505, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.7426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.878, kappa: 0.6992, kb_relative_information_score: 591.4552, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8742, predictive_accuracy: 0.882, prior_entropy: 1.2149, recall: 0.882, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8235, kappa: 0.5715, kb_relative_information_score: 481.8586, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8252, predictive_accuracy: 0.8241, prior_entropy: 1.2149, recall: 0.8241, relative_absolute_error: 0.505, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.7426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9168, kappa: 0.7964, kb_relative_information_score: 663.9382, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9165, predictive_accuracy: 0.9187, prior_entropy: 1.2149, recall: 0.9187, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.5542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8658, kappa: 0.6753, kb_relative_information_score: 565.8146, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8671, predictive_accuracy: 0.8664, prior_entropy: 1.2149, recall: 0.8664, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.6614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8855, kappa: 0.718, kb_relative_information_score: 589.7508, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8826, predictive_accuracy: 0.8909, prior_entropy: 1.2149, recall: 0.8909, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.6464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7372, kappa: 0.3331, kb_relative_information_score: 274.2063, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7153, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6354, f_measure: 0.7257, kappa: 0.2737, kb_relative_information_score: 206.3023, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7271, predictive_accuracy: 0.7973, prior_entropy: 1.2149, recall: 0.7973, relative_absolute_error: 0.8111, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.9136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9061, kappa: 0.7738, kb_relative_information_score: 660.4923, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9035, predictive_accuracy: 0.9098, prior_entropy: 1.2149, recall: 0.9098, relative_absolute_error: 0.2713, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.5702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.8078, kappa: 0.5057, kb_relative_information_score: 449.9479, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8116, predictive_accuracy: 0.8174, prior_entropy: 1.2149, recall: 0.8174, relative_absolute_error: 0.5464, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.7658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9168, kappa: 0.7964, kb_relative_information_score: 663.9382, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9165, predictive_accuracy: 0.9187, prior_entropy: 1.2149, recall: 0.9187, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.5542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9075, kappa: 0.7778, kb_relative_information_score: 662.8863, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9051, predictive_accuracy: 0.9109, prior_entropy: 1.2149, recall: 0.9109, relative_absolute_error: 0.2691, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.5662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8658, kappa: 0.6753, kb_relative_information_score: 565.8146, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8671, predictive_accuracy: 0.8664, prior_entropy: 1.2149, recall: 0.8664, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.6614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9088, kappa: 0.7808, kb_relative_information_score: 649.3071, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9066, predictive_accuracy: 0.912, prior_entropy: 1.2149, recall: 0.912, relative_absolute_error: 0.2929, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.5816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.7863, kappa: 0.4386, kb_relative_information_score: 365.4814, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7781, predictive_accuracy: 0.8096, prior_entropy: 1.2149, recall: 0.8096, relative_absolute_error: 0.6467, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.8308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9061, kappa: 0.7738, kb_relative_information_score: 660.4923, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9035, predictive_accuracy: 0.9098, prior_entropy: 1.2149, recall: 0.9098, relative_absolute_error: 0.2713, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.5702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.8209, kappa: 0.5564, kb_relative_information_score: 477.7263, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8191, predictive_accuracy: 0.8229, prior_entropy: 1.2149, recall: 0.8229, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.7456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9163, kappa: 0.7965, kb_relative_information_score: 674.7457, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9208, predictive_accuracy: 0.9187, prior_entropy: 1.2149, recall: 0.9187, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.5597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.8634, kappa: 0.6632, kb_relative_information_score: 571.2046, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8607, predictive_accuracy: 0.8664, prior_entropy: 1.2149, recall: 0.8664, relative_absolute_error: 0.4013, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.878, kappa: 0.6992, kb_relative_information_score: 591.4552, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8742, predictive_accuracy: 0.882, prior_entropy: 1.2149, recall: 0.882, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8658, kappa: 0.6753, kb_relative_information_score: 565.8146, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8671, predictive_accuracy: 0.8664, prior_entropy: 1.2149, recall: 0.8664, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.6614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5706, f_measure: 0.6698, kappa: 0.057, kb_relative_information_score: 48.7054, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6081, predictive_accuracy: 0.7572, prior_entropy: 1.2149, recall: 0.7572, relative_absolute_error: 0.9596, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.9873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.9249, kappa: 0.8118, kb_relative_information_score: 697.7846, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9266, predictive_accuracy: 0.9265, prior_entropy: 1.2149, recall: 0.9265, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.5439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.9087, kappa: 0.7804, kb_relative_information_score: 642.0153, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9059, predictive_accuracy: 0.912, prior_entropy: 1.2149, recall: 0.912, relative_absolute_error: 0.3031, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1498, root_relative_squared_error: 0.5801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.9103, kappa: 0.7856, kb_relative_information_score: 649.3064, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9085, predictive_accuracy: 0.9131, prior_entropy: 1.2149, recall: 0.9131, relative_absolute_error: 0.2953, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.5709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9194, kappa: 0.8003, kb_relative_information_score: 668.5025, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9241, predictive_accuracy: 0.9232, prior_entropy: 1.2149, recall: 0.9232, relative_absolute_error: 0.2666, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9267, kappa: 0.8145, kb_relative_information_score: 709.6677, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9267, predictive_accuracy: 0.9276, prior_entropy: 1.2149, recall: 0.9276, relative_absolute_error: 0.2026, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.5409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9166, kappa: 0.7959, kb_relative_information_score: 679.8466, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9212, predictive_accuracy: 0.9198, prior_entropy: 1.2149, recall: 0.9198, relative_absolute_error: 0.2443, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.5485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7372, kappa: 0.3331, kb_relative_information_score: 274.2063, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7153, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8261, kappa: 0.5784, kb_relative_information_score: 489.9013, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8283, predictive_accuracy: 0.8263, prior_entropy: 1.2149, recall: 0.8263, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.7366,

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