OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
1 likes downloaded by 5 people , 7 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

9363 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: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1592.3157, usercpu_time_millis: 3.5, usercpu_time_millis_testing: 0.662, usercpu_time_millis_training: 2.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 226.2395, mean_absolute_error: 0.4746, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.956, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.478, root_relative_squared_error: 0.9595, scimark_benchmark: 1727.7629, usercpu_time_millis: 4.691, usercpu_time_millis_testing: 0.983, usercpu_time_millis_training: 3.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1700.3091, usercpu_time_millis: 2.902, usercpu_time_millis_testing: 0.503, usercpu_time_millis_training: 2.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1725.8551, usercpu_time_millis: 2.836, usercpu_time_millis_testing: 0.459, usercpu_time_millis_training: 2.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1722.5597, usercpu_time_millis: 2.871, usercpu_time_millis_testing: 0.471, usercpu_time_millis_training: 2.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7688, kappa: 0.5337, kb_relative_information_score: 1277.2255, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7691, predictive_accuracy: 0.7694, prior_entropy: 0.9948, recall: 0.7694, relative_absolute_error: 0.6964, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8173, scimark_benchmark: 1804.6697, usercpu_time_millis: 9.037, usercpu_time_millis_testing: 1.287, usercpu_time_millis_training: 7.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1731.7648, usercpu_time_millis: 3.676, usercpu_time_millis_testing: 0.699, usercpu_time_millis_training: 2.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1726.7615, usercpu_time_millis: 2.781, usercpu_time_millis_testing: 0.463, usercpu_time_millis_training: 2.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1727.103, usercpu_time_millis: 2.797, usercpu_time_millis_testing: 0.47, usercpu_time_millis_training: 2.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.7601, kappa: 0.5162, kb_relative_information_score: 1632.2471, mean_absolute_error: 0.2901, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7602, predictive_accuracy: 0.7606, prior_entropy: 0.9948, recall: 0.7606, relative_absolute_error: 0.5844, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.8308, scimark_benchmark: 1700.8562, usercpu_time_millis: 71.125, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 70.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7631, kappa: 0.5221, kb_relative_information_score: 1606.9427, mean_absolute_error: 0.2946, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7631, predictive_accuracy: 0.7635, prior_entropy: 0.9948, recall: 0.7635, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8225, scimark_benchmark: 1733.4704, usercpu_time_millis: 50.359, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 49.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1721.2149, usercpu_time_millis: 4.54, usercpu_time_millis_testing: 0.939, usercpu_time_millis_training: 3.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1713.0011, usercpu_time_millis: 2.856, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 2.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1720.9528, usercpu_time_millis: 2.874, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 2.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7691, kappa: 0.5342, kb_relative_information_score: 1579.6376, mean_absolute_error: 0.2998, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7693, predictive_accuracy: 0.7697, prior_entropy: 0.9948, recall: 0.7697, relative_absolute_error: 0.6038, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8111, scimark_benchmark: 1709.9114, usercpu_time_millis: 39.091, usercpu_time_millis_testing: 0.528, usercpu_time_millis_training: 38.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.776, kappa: 0.548, kb_relative_information_score: 1405.9707, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7763, predictive_accuracy: 0.7766, prior_entropy: 0.9948, recall: 0.7766, relative_absolute_error: 0.6594, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.7993, scimark_benchmark: 1729.5387, usercpu_time_millis: 17.325, usercpu_time_millis_testing: 0.911, usercpu_time_millis_training: 16.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.7762, kappa: 0.5486, kb_relative_information_score: 1466.8818, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7766, predictive_accuracy: 0.7769, prior_entropy: 0.9948, recall: 0.7769, relative_absolute_error: 0.6414, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.398, root_relative_squared_error: 0.7988, scimark_benchmark: 1711.1513, usercpu_time_millis: 13.269, usercpu_time_millis_testing: 0.474, usercpu_time_millis_training: 12.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1808.5373, usercpu_time_millis: 5.97, usercpu_time_millis_testing: 1.247, usercpu_time_millis_training: 4.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7719, kappa: 0.5398, kb_relative_information_score: 1541.4522, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.772, predictive_accuracy: 0.7723, prior_entropy: 0.9948, recall: 0.7723, relative_absolute_error: 0.6165, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8027, scimark_benchmark: 1710.8661, usercpu_time_millis: 46.791, usercpu_time_millis_testing: 0.522, usercpu_time_millis_training: 46.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7628, kappa: 0.5216, kb_relative_information_score: 1605.8938, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7629, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.5939, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8215, scimark_benchmark: 1720.4927, usercpu_time_millis: 49.902, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 49.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.7652, kappa: 0.5264, kb_relative_information_score: 1607.391, mean_absolute_error: 0.2946, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7653, predictive_accuracy: 0.7657, prior_entropy: 0.9948, recall: 0.7657, relative_absolute_error: 0.5935, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8211, scimark_benchmark: 740.2295, usercpu_time_millis: 113.975, usercpu_time_millis_testing: 0.652, usercpu_time_millis_training: 113.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7754, kappa: 0.547, kb_relative_information_score: 1459.8033, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7758, predictive_accuracy: 0.7761, prior_entropy: 0.9948, recall: 0.7761, relative_absolute_error: 0.6433, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.7987, scimark_benchmark: 753.0495, usercpu_time_millis: 28.843, usercpu_time_millis_testing: 0.537, usercpu_time_millis_training: 28.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.7617, kappa: 0.5192, kb_relative_information_score: 1621.9594, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7618, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.5876, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.8309, scimark_benchmark: 1741.3429, usercpu_time_millis: 92.86, usercpu_time_millis_testing: 0.815, usercpu_time_millis_training: 92.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.7612, kappa: 0.5182, kb_relative_information_score: 1633.387, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7613, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.5829, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8411, scimark_benchmark: 1753.2007, usercpu_time_millis: 86.398, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 85.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.7522, kappa: 0.5004, kb_relative_information_score: 1648.4681, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7522, predictive_accuracy: 0.7526, prior_entropy: 0.9948, recall: 0.7526, relative_absolute_error: 0.5734, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8719, scimark_benchmark: 1736.3075, usercpu_time_millis: 204.877, usercpu_time_millis_testing: 0.611, usercpu_time_millis_training: 204.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.7475, kappa: 0.4909, kb_relative_information_score: 1641.3015, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7474, predictive_accuracy: 0.7478, prior_entropy: 0.9948, recall: 0.7478, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8796, scimark_benchmark: 1712.931, usercpu_time_millis: 162.32, usercpu_time_millis_testing: 0.49, usercpu_time_millis_training: 161.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.7584, kappa: 0.5129, kb_relative_information_score: 1649.844, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7584, predictive_accuracy: 0.7587, prior_entropy: 0.9948, recall: 0.7587, relative_absolute_error: 0.5758, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.8526, scimark_benchmark: 1753.603, usercpu_time_millis: 134.755, usercpu_time_millis_testing: 0.835, usercpu_time_millis_training: 133.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.7568, kappa: 0.5096, kb_relative_information_score: 1641.3168, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7568, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.5794, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8443, scimark_benchmark: 1733.4704, usercpu_time_millis: 110.212, usercpu_time_millis_testing: 0.459, usercpu_time_millis_training: 109.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.761, kappa: 0.5179, kb_relative_information_score: 1641.8183, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.761, predictive_accuracy: 0.7614, prior_entropy: 0.9948, recall: 0.7614, relative_absolute_error: 0.5801, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8432, scimark_benchmark: 1731.5821, usercpu_time_millis: 110.424, usercpu_time_millis_testing: 0.639, usercpu_time_millis_training: 109.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.7483, kappa: 0.4924, kb_relative_information_score: 1647.2333, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7482, predictive_accuracy: 0.7486, prior_entropy: 0.9948, recall: 0.7486, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.8779, scimark_benchmark: 1697.931, usercpu_time_millis: 172.038, usercpu_time_millis_testing: 0.482, usercpu_time_millis_training: 171.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.7536, kappa: 0.503, kb_relative_information_score: 1651.7279, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7535, predictive_accuracy: 0.7539, prior_entropy: 0.9948, recall: 0.7539, relative_absolute_error: 0.5731, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8681, scimark_benchmark: 1752.3545, usercpu_time_millis: 158.82, usercpu_time_millis_testing: 0.833, usercpu_time_millis_training: 157.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.762, kappa: 0.5199, kb_relative_information_score: 1630.3406, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7621, predictive_accuracy: 0.7625, prior_entropy: 0.9948, recall: 0.7625, relative_absolute_error: 0.5842, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.838, scimark_benchmark: 723.8309, usercpu_time_millis: 193.007, usercpu_time_millis_testing: 0.728, usercpu_time_millis_training: 192.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.7538, kappa: 0.5036, kb_relative_information_score: 1652.7471, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7538, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.871, scimark_benchmark: 1730.464, usercpu_time_millis: 143.217, usercpu_time_millis_testing: 0.618, usercpu_time_millis_training: 142.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7605, kappa: 0.5171, kb_relative_information_score: 1639.1074, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7605, predictive_accuracy: 0.7609, prior_entropy: 0.9948, recall: 0.7609, relative_absolute_error: 0.5808, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.418, root_relative_squared_error: 0.839, scimark_benchmark: 1776.3013, usercpu_time_millis: 175.036, usercpu_time_millis_testing: 1.391, usercpu_time_millis_training: 173.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.7467, kappa: 0.4892, kb_relative_information_score: 1646.5024, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7466, predictive_accuracy: 0.747, prior_entropy: 0.9948, recall: 0.747, relative_absolute_error: 0.5724, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.8844, scimark_benchmark: 1730.1287, usercpu_time_millis: 182.359, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 181.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.7562, kappa: 0.5084, kb_relative_information_score: 1646.0771, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7562, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.5769, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.8518, scimark_benchmark: 1786.3034, usercpu_time_millis: 208.539, usercpu_time_millis_testing: 1.306, usercpu_time_millis_training: 207.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7441, kappa: 0.4841, kb_relative_information_score: 1645.618, mean_absolute_error: 0.2838, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.744, predictive_accuracy: 0.7443, prior_entropy: 0.9948, recall: 0.7443, relative_absolute_error: 0.5716, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.8927, scimark_benchmark: 1716.7909, usercpu_time_millis: 226.29, usercpu_time_millis_testing: 0.672, usercpu_time_millis_training: 225.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, f_measure: 0.728, kappa: 0.4511, kb_relative_information_score: 1491.3479, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7307, predictive_accuracy: 0.7302, prior_entropy: 0.9948, recall: 0.7302, relative_absolute_error: 0.6147, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9294, scimark_benchmark: 1753.6084, usercpu_time_millis: 489.007, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 488.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.7294, kappa: 0.4578, kb_relative_information_score: 1440.2078, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7325, predictive_accuracy: 0.7289, prior_entropy: 0.9948, recall: 0.7289, relative_absolute_error: 0.6316, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9248, scimark_benchmark: 1737.8652, usercpu_time_millis: 629.896, usercpu_time_millis_testing: 0.614, usercpu_time_millis_training: 629.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7508, f_measure: 0.7298, kappa: 0.4548, kb_relative_information_score: 1490.7051, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7326, predictive_accuracy: 0.7321, prior_entropy: 0.9948, recall: 0.7321, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9261, scimark_benchmark: 1731.9625, usercpu_time_millis: 499.155, usercpu_time_millis_testing: 0.609, usercpu_time_millis_training: 498.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.7216, kappa: 0.4424, kb_relative_information_score: 1424.2883, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7249, predictive_accuracy: 0.7211, prior_entropy: 0.9948, recall: 0.7211, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4744, root_relative_squared_error: 0.9522, scimark_benchmark: 1733.7613, usercpu_time_millis: 630.907, usercpu_time_millis_testing: 0.455, usercpu_time_millis_training: 630.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.7285, kappa: 0.4567, kb_relative_information_score: 1446.8808, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7325, predictive_accuracy: 0.7281, prior_entropy: 0.9948, recall: 0.7281, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.9345, scimark_benchmark: 1807.6976, usercpu_time_millis: 694.49, usercpu_time_millis_testing: 0.722, usercpu_time_millis_training: 693.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7581, f_measure: 0.7299, kappa: 0.4591, kb_relative_information_score: 1444.03, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7334, predictive_accuracy: 0.7294, prior_entropy: 0.9948, recall: 0.7294, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9297, scimark_benchmark: 1875.6987, usercpu_time_millis: 613.885, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 613.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.7267, kappa: 0.4486, kb_relative_information_score: 1491.1074, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7292, predictive_accuracy: 0.7289, prior_entropy: 0.9948, recall: 0.7289, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4659, root_relative_squared_error: 0.9351, scimark_benchmark: 1820.7089, usercpu_time_millis: 734.262, usercpu_time_millis_testing: 0.66, usercpu_time_millis_training: 733.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.7333, kappa: 0.4619, kb_relative_information_score: 1507.0166, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7356, predictive_accuracy: 0.7353, prior_entropy: 0.9948, recall: 0.7353, relative_absolute_error: 0.6124, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9156, scimark_benchmark: 1725.3223, usercpu_time_millis: 810.158, usercpu_time_millis_testing: 0.646, usercpu_time_millis_training: 809.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.7343, kappa: 0.4639, kb_relative_information_score: 1508.2376, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7367, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.6127, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9108, scimark_benchmark: 1696.4248, usercpu_time_millis: 802.668, usercpu_time_millis_testing: 0.705, usercpu_time_millis_training: 801.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.7294, kappa: 0.4578, kb_relative_information_score: 1439.3802, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7325, predictive_accuracy: 0.7289, prior_entropy: 0.9948, recall: 0.7289, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9236, scimark_benchmark: 1690.1659, usercpu_time_millis: 898.282, usercpu_time_millis_testing: 1.265, usercpu_time_millis_training: 897.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7267, kappa: 0.4519, kb_relative_information_score: 1453.125, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7292, predictive_accuracy: 0.7262, prior_entropy: 0.9948, recall: 0.7262, relative_absolute_error: 0.6275, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8696, scimark_benchmark: 1729.9318, usercpu_time_millis: 1105.845, usercpu_time_millis_testing: 0.488, usercpu_time_millis_training: 1105.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7058, f_measure: 0.7113, kappa: 0.4196, kb_relative_information_score: 1376.0861, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7215, predictive_accuracy: 0.7169, prior_entropy: 0.9948, recall: 0.7169, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.482, root_relative_squared_error: 0.9674, scimark_benchmark: 1704.4699, usercpu_time_millis: 1102.739, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 1102.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7552, f_measure: 0.7337, kappa: 0.4628, kb_relative_information_score: 1487.8752, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7369, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.6185, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9147, scimark_benchmark: 1846.3057, usercpu_time_millis: 1165.54, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 1165.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.744, f_measure: 0.7179, kappa: 0.435, kb_relative_information_score: 1422.9275, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7212, predictive_accuracy: 0.7174, prior_entropy: 0.9948, recall: 0.7174, relative_absolute_error: 0.6316, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4771, root_relative_squared_error: 0.9576, scimark_benchmark: 1688.9732, usercpu_time_millis: 1355.611, usercpu_time_millis_testing: 0.823, usercpu_time_millis_training: 1354.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.703, kappa: 0.4028, kb_relative_information_score: 1388.0605, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7125, predictive_accuracy: 0.7086, prior_entropy: 0.9948, recall: 0.7086, relative_absolute_error: 0.6386, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9929, scimark_benchmark: 1708.176, usercpu_time_millis: 1610.018, usercpu_time_millis_testing: 0.485, usercpu_time_millis_training: 1609.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.6935, kappa: 0.3938, kb_relative_information_score: 1289.1557, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.707, predictive_accuracy: 0.6939, prior_entropy: 0.9948, recall: 0.6939, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.8897, scimark_benchmark: 1725.7822, usercpu_time_millis: 2151.115, usercpu_time_millis_testing: 0.436, usercpu_time_millis_training: 2150.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.6753, kappa: 0.3512, kb_relative_information_score: 1128.7919, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6802, predictive_accuracy: 0.6748, prior_entropy: 0.9948, recall: 0.6748, relative_absolute_error: 0.7085, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5053, root_relative_squared_error: 1.0143, scimark_benchmark: 1735.1328, usercpu_time_millis: 2500.551, usercpu_time_millis_testing: 0.455, usercpu_time_millis_training: 2500.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.755, f_measure: 0.6615, kappa: 0.3428, kb_relative_information_score: 1128.453, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.691, predictive_accuracy: 0.6652, prior_entropy: 0.9948, recall: 0.6652, relative_absolute_error: 0.7082, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9128, scimark_benchmark: 1726.7615, usercpu_time_millis: 3188.924, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 3188.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, f_measure: 0.6947, kappa: 0.3967, kb_relative_information_score: 1293.9432, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.709, predictive_accuracy: 0.6953, prior_entropy: 0.9948, recall: 0.6953, relative_absolute_error: 0.6662, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.8965, scimark_benchmark: 1809.6704, usercpu_time_millis: 3796.197, usercpu_time_millis_testing: 1.166, usercpu_time_millis_training: 3795.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.761, kappa: 0.5177, kb_relative_information_score: 1165.3833, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7618, predictive_accuracy: 0.7619, prior_entropy: 0.9948, recall: 0.7619, relative_absolute_error: 0.7247, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8436, scimark_benchmark: 1821.8587, usercpu_time_millis: 1665.204, usercpu_time_millis_testing: 25.206, usercpu_time_millis_training: 1639.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.7097, kappa: 0.4154, kb_relative_information_score: 589.6361, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7169, predictive_accuracy: 0.7142, prior_entropy: 0.9948, recall: 0.7142, relative_absolute_error: 0.8678, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9235, scimark_benchmark: 1832.1735, usercpu_time_millis: 1908.653, usercpu_time_millis_testing: 16.536, usercpu_time_millis_training: 1892.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, f_measure: 0.705, kappa: 0.4063, kb_relative_information_score: 563.6947, mean_absolute_error: 0.4337, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7128, predictive_accuracy: 0.7099, prior_entropy: 0.9948, recall: 0.7099, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9284, scimark_benchmark: 1768.6602, usercpu_time_millis: 2281.871, usercpu_time_millis_testing: 19.071, usercpu_time_millis_training: 2262.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.7032, kappa: 0.4025, kb_relative_information_score: 552.9818, mean_absolute_error: 0.4348, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7101, predictive_accuracy: 0.7078, prior_entropy: 0.9948, recall: 0.7078, relative_absolute_error: 0.8759, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.932, scimark_benchmark: 1860.7926, usercpu_time_millis: 2320.272, usercpu_time_millis_testing: 17.941, usercpu_time_millis_training: 2302.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.6939, kappa: 0.384, kb_relative_information_score: 541.1649, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7013, predictive_accuracy: 0.699, prior_entropy: 0.9948, recall: 0.699, relative_absolute_error: 0.8782, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9365, scimark_benchmark: 1808.947, usercpu_time_millis: 2738.227, usercpu_time_millis_testing: 19.907, usercpu_time_millis_training: 2718.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, f_measure: 0.6866, kappa: 0.37, kb_relative_information_score: 522.5592, mean_absolute_error: 0.4377, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6955, predictive_accuracy: 0.6926, prior_entropy: 0.9948, recall: 0.6926, relative_absolute_error: 0.8817, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9436, scimark_benchmark: 1833.7909, usercpu_time_millis: 2893.304, usercpu_time_millis_testing: 16.47, usercpu_time_millis_training: 2876.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.7083, kappa: 0.4129, kb_relative_information_score: 589.0457, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7162, predictive_accuracy: 0.7131, prior_entropy: 0.9948, recall: 0.7131, relative_absolute_error: 0.8679, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9235, scimark_benchmark: 1713.8909, usercpu_time_millis: 3049.425, usercpu_time_millis_testing: 30.431, usercpu_time_millis_training: 3018.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.6944, kappa: 0.3857, kb_relative_information_score: 526.9483, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7039, predictive_accuracy: 0.7003, prior_entropy: 0.9948, recall: 0.7003, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.9356, scimark_benchmark: 1738.1015, usercpu_time_millis: 2340.627, usercpu_time_millis_testing: 15.25, usercpu_time_millis_training: 2325.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.6975, kappa: 0.3916, kb_relative_information_score: 542.4661, mean_absolute_error: 0.4361, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7062, predictive_accuracy: 0.703, prior_entropy: 0.9948, recall: 0.703, relative_absolute_error: 0.8784, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.9343, scimark_benchmark: 1814.8741, usercpu_time_millis: 2257.228, usercpu_time_millis_testing: 15.539, usercpu_time_millis_training: 2241.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7218, f_measure: 0.6881, kappa: 0.3719, kb_relative_information_score: 541.1612, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6944, predictive_accuracy: 0.6929, prior_entropy: 0.9948, recall: 0.6929, relative_absolute_error: 0.8765, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9444, scimark_benchmark: 1855.0231, usercpu_time_millis: 3332.576, usercpu_time_millis_testing: 19.467, usercpu_time_millis_training: 3313.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7225, f_measure: 0.6876, kappa: 0.3712, kb_relative_information_score: 537.3832, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6943, predictive_accuracy: 0.6926, prior_entropy: 0.9948, recall: 0.6926, relative_absolute_error: 0.8775, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9438, scimark_benchmark: 1826.0997, usercpu_time_millis: 2777.211, usercpu_time_millis_testing: 14.447, usercpu_time_millis_training: 2762.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.6933, kappa: 0.3828, kb_relative_information_score: 530.5405, mean_absolute_error: 0.4368, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7008, predictive_accuracy: 0.6985, prior_entropy: 0.9948, recall: 0.6985, relative_absolute_error: 0.8799, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9427, scimark_benchmark: 1823.771, usercpu_time_millis: 2810.823, usercpu_time_millis_testing: 16.022, usercpu_time_millis_training: 2794.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.6941, kappa: 0.3844, kb_relative_information_score: 532.8082, mean_absolute_error: 0.4365, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7017, predictive_accuracy: 0.6993, prior_entropy: 0.9948, recall: 0.6993, relative_absolute_error: 0.8793, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9421, scimark_benchmark: 1727.9171, usercpu_time_millis: 2912.841, usercpu_time_millis_testing: 17.169, usercpu_time_millis_training: 2895.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.6886, kappa: 0.3732, kb_relative_information_score: 531.4544, mean_absolute_error: 0.4366, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6956, predictive_accuracy: 0.6937, prior_entropy: 0.9948, recall: 0.6937, relative_absolute_error: 0.8794, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.9432, scimark_benchmark: 1813.8291, usercpu_time_millis: 2792.68, usercpu_time_millis_testing: 15.291, usercpu_time_millis_training: 2777.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, f_measure: 0.6892, kappa: 0.3745, kb_relative_information_score: 523.3621, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6967, predictive_accuracy: 0.6945, prior_entropy: 0.9948, recall: 0.6945, relative_absolute_error: 0.8815, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.47, root_relative_squared_error: 0.9434, scimark_benchmark: 1828.1532, usercpu_time_millis: 2834.869, usercpu_time_millis_testing: 16.079, usercpu_time_millis_training: 2818.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7193, f_measure: 0.6871, kappa: 0.3697, kb_relative_information_score: 547.6062, mean_absolute_error: 0.4341, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6926, predictive_accuracy: 0.6915, prior_entropy: 0.9948, recall: 0.6915, relative_absolute_error: 0.8744, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9451, scimark_benchmark: 1825.2356, usercpu_time_millis: 3049.148, usercpu_time_millis_testing: 16.235, usercpu_time_millis_training: 3032.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.6759, kappa: 0.347, kb_relative_information_score: 605.4204, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6808, predictive_accuracy: 0.6804, prior_entropy: 0.9948, recall: 0.6804, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9498, scimark_benchmark: 1844.8764, usercpu_time_millis: 3919.481, usercpu_time_millis_testing: 14.277, usercpu_time_millis_training: 3905.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.6798, kappa: 0.3548, kb_relative_information_score: 604.9047, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6846, predictive_accuracy: 0.6841, prior_entropy: 0.9948, recall: 0.6841, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9494, scimark_benchmark: 1846.8086, usercpu_time_millis: 4122.819, usercpu_time_millis_testing: 17.147, usercpu_time_millis_training: 4105.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.6775, kappa: 0.3503, kb_relative_information_score: 607.9757, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6825, predictive_accuracy: 0.682, prior_entropy: 0.9948, recall: 0.682, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9501, scimark_benchmark: 1734.1487, usercpu_time_millis: 4396.245, usercpu_time_millis_testing: 16.898, usercpu_time_millis_training: 4379.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7147, f_measure: 0.6825, kappa: 0.36, kb_relative_information_score: 611.9539, mean_absolute_error: 0.4251, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6869, predictive_accuracy: 0.6865, prior_entropy: 0.9948, recall: 0.6865, relative_absolute_error: 0.8562, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9485, scimark_benchmark: 1836.1651, usercpu_time_millis: 3731.913, usercpu_time_millis_testing: 13.304, usercpu_time_millis_training: 3718.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7124, f_measure: 0.6783, kappa: 0.3519, kb_relative_information_score: 603.8014, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6833, predictive_accuracy: 0.6828, prior_entropy: 0.9948, recall: 0.6828, relative_absolute_error: 0.8578, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9501, scimark_benchmark: 1829.7478, usercpu_time_millis: 3750.21, usercpu_time_millis_testing: 13.333, usercpu_time_millis_training: 3736.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.6752, kappa: 0.3457, kb_relative_information_score: 604.423, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6804, predictive_accuracy: 0.6798, prior_entropy: 0.9948, recall: 0.6798, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9503, scimark_benchmark: 1725.7969, usercpu_time_millis: 4182.917, usercpu_time_millis_testing: 13.314, usercpu_time_millis_training: 4169.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.6786, kappa: 0.3525, kb_relative_information_score: 602.2576, mean_absolute_error: 0.4261, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6836, predictive_accuracy: 0.683, prior_entropy: 0.9948, recall: 0.683, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9495, scimark_benchmark: 1818.3005, usercpu_time_millis: 3874.553, usercpu_time_millis_testing: 15.317, usercpu_time_millis_training: 3859.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.6777, kappa: 0.3507, kb_relative_information_score: 600.5782, mean_absolute_error: 0.4263, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6828, predictive_accuracy: 0.6822, prior_entropy: 0.9948, recall: 0.6822, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9492, scimark_benchmark: 1680.5452, usercpu_time_millis: 4240.541, usercpu_time_millis_testing: 15.682, usercpu_time_millis_training: 4224.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.714, f_measure: 0.6783, kappa: 0.3517, kb_relative_information_score: 609.2238, mean_absolute_error: 0.4252, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6828, predictive_accuracy: 0.6825, prior_entropy: 0.9948, recall: 0.6825, relative_absolute_error: 0.8565, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9496, scimark_benchmark: 1726.3086, usercpu_time_millis: 5221.593, usercpu_time_millis_testing: 27.285, usercpu_time_millis_training: 5194.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.6757, kappa: 0.3466, kb_relative_information_score: 611.7699, mean_absolute_error: 0.4248, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6804, predictive_accuracy: 0.6801, prior_entropy: 0.9948, recall: 0.6801, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.9507, scimark_benchmark: 789.421, usercpu_time_millis: 8676.041, usercpu_time_millis_testing: 28.11, usercpu_time_millis_training: 8647.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.8124, kappa: 0.6217, kb_relative_information_score: 1631.0123, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8124, predictive_accuracy: 0.8126, prior_entropy: 0.9948, recall: 0.8126, relative_absolute_error: 0.6009, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.8105, kappa: 0.618, kb_relative_information_score: 1633.1115, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8105, predictive_accuracy: 0.8107, prior_entropy: 0.9948, recall: 0.8107, relative_absolute_error: 0.6001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.8126, kappa: 0.6223, kb_relative_information_score: 1637.7182, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8126, predictive_accuracy: 0.8129, prior_entropy: 0.9948, recall: 0.8129, relative_absolute_error: 0.5991, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8143, kappa: 0.6256, kb_relative_information_score: 1634.6582, mean_absolute_error: 0.2978, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8143, predictive_accuracy: 0.8144, prior_entropy: 0.9948, recall: 0.8144, relative_absolute_error: 0.5999, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8134, kappa: 0.6237, kb_relative_information_score: 1630.6217, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8135, predictive_accuracy: 0.8137, prior_entropy: 0.9948, recall: 0.8137, relative_absolute_error: 0.6009, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8102, kappa: 0.6173, kb_relative_information_score: 1634.918, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8102, predictive_accuracy: 0.8105, prior_entropy: 0.9948, recall: 0.8105, relative_absolute_error: 0.5996, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8087, kappa: 0.6142, kb_relative_information_score: 1631.1575, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8086, predictive_accuracy: 0.8089, prior_entropy: 0.9948, recall: 0.8089, relative_absolute_error: 0.6006, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8108, kappa: 0.6186, kb_relative_information_score: 1634.721, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8108, predictive_accuracy: 0.811, prior_entropy: 0.9948, recall: 0.811, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8113, kappa: 0.6194, kb_relative_information_score: 1631.8726, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8113, predictive_accuracy: 0.8115, prior_entropy: 0.9948, recall: 0.8115, relative_absolute_error: 0.6006, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.8086, kappa: 0.6142, kb_relative_information_score: 1634.1453, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8086, predictive_accuracy: 0.8089, prior_entropy: 0.9948, recall: 0.8089, relative_absolute_error: 0.5998, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8153, kappa: 0.6275, kb_relative_information_score: 1633.3893, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8153, predictive_accuracy: 0.8155, prior_entropy: 0.9948, recall: 0.8155, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.8153, kappa: 0.6278, kb_relative_information_score: 1634.8945, mean_absolute_error: 0.2978, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8153, predictive_accuracy: 0.8155, prior_entropy: 0.9948, recall: 0.8155, relative_absolute_error: 0.5999, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8139, kappa: 0.6247, kb_relative_information_score: 1635.6707, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.814, predictive_accuracy: 0.8142, prior_entropy: 0.9948, recall: 0.8142, relative_absolute_error: 0.5997, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8121, kappa: 0.6211, kb_relative_information_score: 1633.1978, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8121, predictive_accuracy: 0.8123, prior_entropy: 0.9948, recall: 0.8123, relative_absolute_error: 0.6002, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.8095, kappa: 0.616, kb_relative_information_score: 1627.0791, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8095, predictive_accuracy: 0.8097, prior_entropy: 0.9948, recall: 0.8097, relative_absolute_error: 0.6017, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.7558, kappa: 0.5074, kb_relative_information_score: 1559.6642, mean_absolute_error: 0.3004, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7559, predictive_accuracy: 0.7563, prior_entropy: 0.9948, recall: 0.7563, relative_absolute_error: 0.6051, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8065, kappa: 0.6098, kb_relative_information_score: 1636.4214, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8065, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, f_measure: 0.7389, kappa: 0.473, kb_relative_information_score: 825.8121, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7408, predictive_accuracy: 0.7406, prior_entropy: 0.9948, recall: 0.7406, relative_absolute_error: 0.8103, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4439, root_relative_squared_error: 0.891,

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