OpenML
Supervised Classification on mfeat-karhunen

Supervised Classification on mfeat-karhunen

Task 16 Supervised Classification mfeat-karhunen 24478 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

24478 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: 0.9833, f_measure: 0.9701, kappa: 0.9667, kb_relative_information_score: 0.9686, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9707, predictive_accuracy: 0.97, prior_entropy: 3.3219, recall: 0.97, relative_absolute_error: 0.0333, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.2582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9546, kappa: 0.9494, kb_relative_information_score: 0.9524, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9553, predictive_accuracy: 0.9545, prior_entropy: 3.3219, recall: 0.9545, relative_absolute_error: 0.0506, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6294, f_measure: 0.3758, kappa: 0.2589, kb_relative_information_score: 0.3025, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9114, predictive_accuracy: 0.333, prior_entropy: 3.3219, recall: 0.333, relative_absolute_error: 0.7411, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3652, root_relative_squared_error: 1.2175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5367, f_measure: 0.1132, kappa: 0.0733, kb_relative_information_score: 0.1278, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6085, predictive_accuracy: 0.166, prior_entropy: 3.3219, recall: 0.166, relative_absolute_error: 0.9267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4084, root_relative_squared_error: 1.3614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5594, f_measure: 0.1964, kappa: 0.1189, kb_relative_information_score: 0.1707, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9112, predictive_accuracy: 0.207, prior_entropy: 3.3219, recall: 0.207, relative_absolute_error: 0.8811, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3982, root_relative_squared_error: 1.3275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9665, kappa: 0.9628, kb_relative_information_score: 0.965, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9667, predictive_accuracy: 0.9665, prior_entropy: 3.3219, recall: 0.9665, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.2728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5594, f_measure: 0.1964, kappa: 0.1189, kb_relative_information_score: 0.1707, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9112, predictive_accuracy: 0.207, prior_entropy: 3.3219, recall: 0.207, relative_absolute_error: 0.8811, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3982, root_relative_squared_error: 1.3275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5736, f_measure: 0.234, kappa: 0.1472, kb_relative_information_score: 0.1974, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9115, predictive_accuracy: 0.2325, prior_entropy: 3.3219, recall: 0.2325, relative_absolute_error: 0.8528, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3918, root_relative_squared_error: 1.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8708, kappa: 0.8567, kb_relative_information_score: 0.8651, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8781, predictive_accuracy: 0.871, prior_entropy: 3.3219, recall: 0.871, relative_absolute_error: 0.1433, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.5354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5106, f_measure: 0.0557, kappa: 0.0211, kb_relative_information_score: 0.0787, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9102, predictive_accuracy: 0.119, prior_entropy: 3.3219, recall: 0.119, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4198, root_relative_squared_error: 1.3992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9646, kappa: 0.9606, kb_relative_information_score: 0.9629, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9652, predictive_accuracy: 0.9645, prior_entropy: 3.3219, recall: 0.9645, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.2809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9651, kappa: 0.9611, kb_relative_information_score: 0.9634, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9657, predictive_accuracy: 0.965, prior_entropy: 3.3219, recall: 0.965, relative_absolute_error: 0.0389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.2789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.51, f_measure: 0.0538, kappa: 0.02, kb_relative_information_score: 0.0776, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9102, predictive_accuracy: 0.118, prior_entropy: 3.3219, recall: 0.118, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.42, root_relative_squared_error: 1.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5794, f_measure: 0.1486, kappa: 0.1589, kb_relative_information_score: 0.2084, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6383, predictive_accuracy: 0.243, prior_entropy: 3.3219, recall: 0.243, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3891, root_relative_squared_error: 1.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9755, kappa: 0.9728, kb_relative_information_score: 0.9744, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9757, predictive_accuracy: 0.9755, prior_entropy: 3.3219, recall: 0.9755, relative_absolute_error: 0.0272, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.07, root_relative_squared_error: 0.2333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.976, kappa: 0.9733, kb_relative_information_score: 0.9749, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9762, predictive_accuracy: 0.976, prior_entropy: 3.3219, recall: 0.976, relative_absolute_error: 0.0267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0693, root_relative_squared_error: 0.2309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9595, kappa: 0.955, kb_relative_information_score: 0.9576, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9597, predictive_accuracy: 0.9595, prior_entropy: 3.3219, recall: 0.9595, relative_absolute_error: 0.045, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.09, root_relative_squared_error: 0.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9646, kappa: 0.9606, kb_relative_information_score: 0.9629, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9652, predictive_accuracy: 0.9645, prior_entropy: 3.3219, recall: 0.9645, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.2809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.973, kappa: 0.97, kb_relative_information_score: 0.9718, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 3.3219, recall: 0.973, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.2449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9646, kappa: 0.9606, kb_relative_information_score: 0.9629, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9652, predictive_accuracy: 0.9645, prior_entropy: 3.3219, recall: 0.9645, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.2809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9489, kappa: 0.9433, kb_relative_information_score: 0.9467, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9496, predictive_accuracy: 0.949, prior_entropy: 3.3219, recall: 0.949, relative_absolute_error: 0.0567, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.101, root_relative_squared_error: 0.3367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9413, kappa: 0.9311, kb_relative_information_score: 0.9352, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9523, predictive_accuracy: 0.938, prior_entropy: 3.3219, recall: 0.938, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.3712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9461, kappa: 0.94, kb_relative_information_score: 0.9435, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9468, predictive_accuracy: 0.946, prior_entropy: 3.3219, recall: 0.946, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.952, kappa: 0.9467, kb_relative_information_score: 0.9498, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9527, predictive_accuracy: 0.952, prior_entropy: 3.3219, recall: 0.952, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.098, root_relative_squared_error: 0.3266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9537, kappa: 0.9483, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9543, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5289, f_measure: 0.1112, kappa: 0.0578, kb_relative_information_score: 0.1132, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9105, predictive_accuracy: 0.152, prior_entropy: 3.3219, recall: 0.152, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4118, root_relative_squared_error: 1.3728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.977, kappa: 0.9744, kb_relative_information_score: 0.9759, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9772, predictive_accuracy: 0.977, prior_entropy: 3.3219, recall: 0.977, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.2261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.0899, kappa: 0.0428, kb_relative_information_score: 0.0991, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9104, predictive_accuracy: 0.1385, prior_entropy: 3.3219, recall: 0.1385, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4151, root_relative_squared_error: 1.3836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5178, f_measure: 0.0791, kappa: 0.0356, kb_relative_information_score: 0.0923, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9103, predictive_accuracy: 0.132, prior_entropy: 3.3219, recall: 0.132, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4167, root_relative_squared_error: 1.3888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5153, f_measure: 0.0714, kappa: 0.0306, kb_relative_information_score: 0.0876, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9103, predictive_accuracy: 0.1275, prior_entropy: 3.3219, recall: 0.1275, relative_absolute_error: 0.9694, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4177, root_relative_squared_error: 1.3924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5169, f_measure: 0.0767, kappa: 0.0339, kb_relative_information_score: 0.0907, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9103, predictive_accuracy: 0.1305, prior_entropy: 3.3219, recall: 0.1305, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.417, root_relative_squared_error: 1.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9564, kappa: 0.9517, kb_relative_information_score: 0.9545, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9569, predictive_accuracy: 0.9565, prior_entropy: 3.3219, recall: 0.9565, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.3109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9537, kappa: 0.9483, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9543, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5794, f_measure: 0.1486, kappa: 0.1589, kb_relative_information_score: 0.2084, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6383, predictive_accuracy: 0.243, prior_entropy: 3.3219, recall: 0.243, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3891, root_relative_squared_error: 1.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.59, f_measure: 0.1781, kappa: 0.18, kb_relative_information_score: 0.2282, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5921, predictive_accuracy: 0.262, prior_entropy: 3.3219, recall: 0.262, relative_absolute_error: 0.82, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3842, root_relative_squared_error: 1.2806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5261, f_measure: 0.1031, kappa: 0.0522, kb_relative_information_score: 0.108, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9105, predictive_accuracy: 0.147, prior_entropy: 3.3219, recall: 0.147, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.413, root_relative_squared_error: 1.3768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9593, kappa: 0.9533, kb_relative_information_score: 0.9561, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9641, predictive_accuracy: 0.958, prior_entropy: 3.3219, recall: 0.958, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.3055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.979, kappa: 0.9767, kb_relative_information_score: 0.978, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9791, predictive_accuracy: 0.979, prior_entropy: 3.3219, recall: 0.979, relative_absolute_error: 0.0233, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8897, kappa: 0.8783, kb_relative_information_score: 0.8855, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.894, predictive_accuracy: 0.8905, prior_entropy: 3.3219, recall: 0.8905, relative_absolute_error: 0.1217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.148, root_relative_squared_error: 0.4933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9537, kappa: 0.9483, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9543, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9552, kappa: 0.95, kb_relative_information_score: 0.9529, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9558, predictive_accuracy: 0.955, prior_entropy: 3.3219, recall: 0.955, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.3162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9552, kappa: 0.95, kb_relative_information_score: 0.9529, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9558, predictive_accuracy: 0.955, prior_entropy: 3.3219, recall: 0.955, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.3162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9717, kappa: 0.9683, kb_relative_information_score: 0.9702, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9725, predictive_accuracy: 0.9715, prior_entropy: 3.3219, recall: 0.9715, relative_absolute_error: 0.0317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.2517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.979, kappa: 0.9767, kb_relative_information_score: 0.978, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9791, predictive_accuracy: 0.979, prior_entropy: 3.3219, recall: 0.979, relative_absolute_error: 0.0233, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9557, kappa: 0.9506, kb_relative_information_score: 0.9535, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9563, predictive_accuracy: 0.9555, prior_entropy: 3.3219, recall: 0.9555, relative_absolute_error: 0.0494, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.3145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9537, kappa: 0.9483, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9543, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.5052, kappa: 0.4383, kb_relative_information_score: 0.4714, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6229, predictive_accuracy: 0.4945, prior_entropy: 3.3219, recall: 0.4945, relative_absolute_error: 0.5617, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.318, root_relative_squared_error: 1.0599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.977, kappa: 0.9744, kb_relative_information_score: 0.9759, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9772, predictive_accuracy: 0.977, prior_entropy: 3.3219, recall: 0.977, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.2261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9552, kappa: 0.95, kb_relative_information_score: 0.9529, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9558, predictive_accuracy: 0.955, prior_entropy: 3.3219, recall: 0.955, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.3162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9537, kappa: 0.9483, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9543, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.91, kappa: 0.8889, kb_relative_information_score: 0.8954, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9393, predictive_accuracy: 0.9, prior_entropy: 3.3219, recall: 0.9, relative_absolute_error: 0.1111, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.4714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9368, kappa: 0.925, kb_relative_information_score: 0.9294, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9503, predictive_accuracy: 0.9325, prior_entropy: 3.3219, recall: 0.9325, relative_absolute_error: 0.075, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.3873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9775, kappa: 0.975, kb_relative_information_score: 0.9765, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9776, predictive_accuracy: 0.9775, prior_entropy: 3.3219, recall: 0.9775, relative_absolute_error: 0.025, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.2236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9765, kappa: 0.9739, kb_relative_information_score: 0.9754, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9767, predictive_accuracy: 0.9765, prior_entropy: 3.3219, recall: 0.9765, relative_absolute_error: 0.0261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9575, kappa: 0.9528, kb_relative_information_score: 0.9556, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9579, predictive_accuracy: 0.9575, prior_entropy: 3.3219, recall: 0.9575, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.3073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.975, kappa: 0.9722, kb_relative_information_score: 0.9739, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9752, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0278, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.2357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9765, kappa: 0.9739, kb_relative_information_score: 0.9754, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9767, predictive_accuracy: 0.9765, prior_entropy: 3.3219, recall: 0.9765, relative_absolute_error: 0.0261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.977, kappa: 0.9744, kb_relative_information_score: 0.9759, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9772, predictive_accuracy: 0.977, prior_entropy: 3.3219, recall: 0.977, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.2261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9591, kappa: 0.9544, kb_relative_information_score: 0.9571, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9595, predictive_accuracy: 0.959, prior_entropy: 3.3219, recall: 0.959, relative_absolute_error: 0.0456, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.3018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9537, kappa: 0.9483, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9543, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9566, kappa: 0.9517, kb_relative_information_score: 0.9545, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9572, predictive_accuracy: 0.9565, prior_entropy: 3.3219, recall: 0.9565, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.3109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5189, f_measure: 0.0825, kappa: 0.0378, kb_relative_information_score: 0.0944, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9104, predictive_accuracy: 0.134, prior_entropy: 3.3219, recall: 0.134, relative_absolute_error: 0.9622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4162, root_relative_squared_error: 1.3872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.976, kappa: 0.9733, kb_relative_information_score: 0.9749, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9762, predictive_accuracy: 0.976, prior_entropy: 3.3219, recall: 0.976, relative_absolute_error: 0.0267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0693, root_relative_squared_error: 0.2309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5081, f_measure: 0.0469, kappa: 0.0161, kb_relative_information_score: 0.074, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9101, predictive_accuracy: 0.1145, prior_entropy: 3.3219, recall: 0.1145, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4208, root_relative_squared_error: 1.4028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5289, f_measure: 0.1112, kappa: 0.0578, kb_relative_information_score: 0.1132, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9105, predictive_accuracy: 0.152, prior_entropy: 3.3219, recall: 0.152, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4118, root_relative_squared_error: 1.3728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.0899, kappa: 0.0428, kb_relative_information_score: 0.0991, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9104, predictive_accuracy: 0.1385, prior_entropy: 3.3219, recall: 0.1385, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4151, root_relative_squared_error: 1.3836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5153, f_measure: 0.0714, kappa: 0.0306, kb_relative_information_score: 0.0876, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9103, predictive_accuracy: 0.1275, prior_entropy: 3.3219, recall: 0.1275, relative_absolute_error: 0.9694, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4177, root_relative_squared_error: 1.3924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9537, kappa: 0.9483, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9543, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9537, kappa: 0.9483, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9543, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5067, f_measure: 0.042, kappa: 0.0133, kb_relative_information_score: 0.0714, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9101, predictive_accuracy: 0.112, prior_entropy: 3.3219, recall: 0.112, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4214, root_relative_squared_error: 1.4048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9537, kappa: 0.9483, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9543, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5169, f_measure: 0.0767, kappa: 0.0339, kb_relative_information_score: 0.0907, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9103, predictive_accuracy: 0.1305, prior_entropy: 3.3219, recall: 0.1305, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.417, root_relative_squared_error: 1.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5206, f_measure: 0.0873, kappa: 0.0411, kb_relative_information_score: 0.0975, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9104, predictive_accuracy: 0.137, prior_entropy: 3.3219, recall: 0.137, relative_absolute_error: 0.9589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4155, root_relative_squared_error: 1.3848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.977, kappa: 0.9744, kb_relative_information_score: 0.9759, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9772, predictive_accuracy: 0.977, prior_entropy: 3.3219, recall: 0.977, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.2261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5178, f_measure: 0.0791, kappa: 0.0356, kb_relative_information_score: 0.0923, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9103, predictive_accuracy: 0.132, prior_entropy: 3.3219, recall: 0.132, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4167, root_relative_squared_error: 1.3888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5169, f_measure: 0.0767, kappa: 0.0339, kb_relative_information_score: 0.0907, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9103, predictive_accuracy: 0.1305, prior_entropy: 3.3219, recall: 0.1305, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.417, root_relative_squared_error: 1.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9564, kappa: 0.9517, kb_relative_information_score: 0.9545, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9569, predictive_accuracy: 0.9565, prior_entropy: 3.3219, recall: 0.9565, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.3109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6033, f_measure: 0.3126, kappa: 0.2067, kb_relative_information_score: 0.2533, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9104, predictive_accuracy: 0.286, prior_entropy: 3.3219, recall: 0.286, relative_absolute_error: 0.7933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3779, root_relative_squared_error: 1.2596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9566, kappa: 0.9517, kb_relative_information_score: 0.9545, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9572, predictive_accuracy: 0.9565, prior_entropy: 3.3219, recall: 0.9565, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.3109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9566, kappa: 0.9517, kb_relative_information_score: 0.9545, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9572, predictive_accuracy: 0.9565, prior_entropy: 3.3219, recall: 0.9565, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.3109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9566, kappa: 0.9517, kb_relative_information_score: 0.9545, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9572, predictive_accuracy: 0.9565, prior_entropy: 3.3219, recall: 0.9565, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.3109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9557, kappa: 0.9506, kb_relative_information_score: 0.9535, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9563, predictive_accuracy: 0.9555, prior_entropy: 3.3219, recall: 0.9555, relative_absolute_error: 0.0494, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.3145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8277, kappa: 0.8072, kb_relative_information_score: 0.8186, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8311, predictive_accuracy: 0.8265, prior_entropy: 3.3219, recall: 0.8265, relative_absolute_error: 0.1928, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.6209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9771, kappa: 0.9744, kb_relative_information_score: 0.9759, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9773, predictive_accuracy: 0.977, prior_entropy: 3.3219, recall: 0.977, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.2261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9746, kappa: 0.9717, kb_relative_information_score: 0.9733, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.975, predictive_accuracy: 0.9745, prior_entropy: 3.3219, recall: 0.9745, relative_absolute_error: 0.0283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0714, root_relative_squared_error: 0.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9755, kappa: 0.9728, kb_relative_information_score: 0.9744, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9755, predictive_accuracy: 0.9755, prior_entropy: 3.3219, recall: 0.9755, relative_absolute_error: 0.0272, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.07, root_relative_squared_error: 0.2333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.976, kappa: 0.9733, kb_relative_information_score: 0.9749, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.976, predictive_accuracy: 0.976, prior_entropy: 3.3219, recall: 0.976, relative_absolute_error: 0.0267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0693, root_relative_squared_error: 0.2309,

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