OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
1 likes downloaded by 6 people , 8 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: 0.8154, f_measure: 0.7456, kappa: 0.4867, kb_relative_information_score: 792.0615, mean_absolute_error: 0.4093, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7457, predictive_accuracy: 0.7462, prior_entropy: 0.9948, recall: 0.7462, relative_absolute_error: 0.8245, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8681, scimark_benchmark: 1852.859, usercpu_time_millis: 151.917, usercpu_time_millis_testing: 2.091, usercpu_time_millis_training: 149.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 847.6596, mean_absolute_error: 0.4034, 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: 0.8126, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8792, scimark_benchmark: 1839.7313, usercpu_time_millis: 236.3, usercpu_time_millis_testing: 1.401, usercpu_time_millis_training: 234.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.741, kappa: 0.4773, kb_relative_information_score: 746.8426, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7424, predictive_accuracy: 0.7425, prior_entropy: 0.9948, recall: 0.7425, relative_absolute_error: 0.8365, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8762, scimark_benchmark: 1845.3986, usercpu_time_millis: 111.798, usercpu_time_millis_testing: 1.467, usercpu_time_millis_training: 110.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.7808, kappa: 0.5579, kb_relative_information_score: 1197.4558, mean_absolute_error: 0.3571, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7811, predictive_accuracy: 0.7814, prior_entropy: 0.9948, recall: 0.7814, relative_absolute_error: 0.7194, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8084, scimark_benchmark: 1842.7105, usercpu_time_millis: 246.228, usercpu_time_millis_testing: 2.523, usercpu_time_millis_training: 243.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.7887, kappa: 0.5737, kb_relative_information_score: 1420.3728, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7893, predictive_accuracy: 0.7894, prior_entropy: 0.9948, recall: 0.7894, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.7875, scimark_benchmark: 1830.2533, usercpu_time_millis: 3405.31, usercpu_time_millis_testing: 3.724, usercpu_time_millis_training: 3401.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.7864, kappa: 0.569, kb_relative_information_score: 1528.912, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7868, predictive_accuracy: 0.787, prior_entropy: 0.9948, recall: 0.787, relative_absolute_error: 0.6244, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.781, scimark_benchmark: 1841.6148, usercpu_time_millis: 11591.857, usercpu_time_millis_testing: 4.007, usercpu_time_millis_training: 11587.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.809, kappa: 0.6146, kb_relative_information_score: 1631.4131, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8093, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7517, scimark_benchmark: 1832.1735, usercpu_time_millis: 2424.636, usercpu_time_millis_testing: 3.795, usercpu_time_millis_training: 2420.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8097, kappa: 0.6162, kb_relative_information_score: 1681.3888, mean_absolute_error: 0.2901, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8101, predictive_accuracy: 0.8102, prior_entropy: 0.9948, recall: 0.8102, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7521, scimark_benchmark: 1726.9398, usercpu_time_millis: 2497.652, usercpu_time_millis_testing: 1.823, usercpu_time_millis_training: 2495.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.8015, kappa: 0.5996, kb_relative_information_score: 1567.7546, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8017, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.6175, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.7635, scimark_benchmark: 1844.1415, usercpu_time_millis: 2766.537, usercpu_time_millis_testing: 3.047, usercpu_time_millis_training: 2763.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7672, kappa: 0.5302, kb_relative_information_score: 1299.2292, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7691, predictive_accuracy: 0.7686, prior_entropy: 0.9948, recall: 0.7686, relative_absolute_error: 0.6887, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8141, scimark_benchmark: 1848.8462, usercpu_time_millis: 2874.767, usercpu_time_millis_testing: 2.504, usercpu_time_millis_training: 2872.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8013, kappa: 0.5992, kb_relative_information_score: 1556.2271, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8014, predictive_accuracy: 0.8017, prior_entropy: 0.9948, recall: 0.8017, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7668, scimark_benchmark: 1844.677, usercpu_time_millis: 3251.32, usercpu_time_millis_testing: 3.665, usercpu_time_millis_training: 3247.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.7914, kappa: 0.5793, kb_relative_information_score: 1437.5861, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7915, predictive_accuracy: 0.7918, prior_entropy: 0.9948, recall: 0.7918, relative_absolute_error: 0.6525, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7834, scimark_benchmark: 1841.1108, usercpu_time_millis: 3428.295, usercpu_time_millis_testing: 4.07, usercpu_time_millis_training: 3424.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7605, kappa: 0.5166, kb_relative_information_score: 1313.8856, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8165, scimark_benchmark: 1731.9625, usercpu_time_millis: 3490.523, usercpu_time_millis_testing: 2.622, usercpu_time_millis_training: 3487.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.7985, kappa: 0.5934, kb_relative_information_score: 1580.7229, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7989, predictive_accuracy: 0.799, prior_entropy: 0.9948, recall: 0.799, relative_absolute_error: 0.6129, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7654, scimark_benchmark: 1727.4519, usercpu_time_millis: 3903.98, usercpu_time_millis_testing: 2.741, usercpu_time_millis_training: 3901.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.8003, kappa: 0.5971, kb_relative_information_score: 1569.7472, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8008, predictive_accuracy: 0.8009, prior_entropy: 0.9948, recall: 0.8009, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7663, scimark_benchmark: 1778.7916, usercpu_time_millis: 5378.668, usercpu_time_millis_testing: 3.635, usercpu_time_millis_training: 5375.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.7995, kappa: 0.5956, kb_relative_information_score: 1628.7259, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7999, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.5979, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.7629, scimark_benchmark: 1728.8162, usercpu_time_millis: 7771.479, usercpu_time_millis_testing: 3.431, usercpu_time_millis_training: 7768.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.7723, kappa: 0.5405, kb_relative_information_score: 1258.2727, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7736, predictive_accuracy: 0.7734, prior_entropy: 0.9948, recall: 0.7734, relative_absolute_error: 0.7015, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8118, scimark_benchmark: 1881.5973, usercpu_time_millis: 1633.438, usercpu_time_millis_testing: 2.205, usercpu_time_millis_training: 1631.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.806, kappa: 0.6086, kb_relative_information_score: 1607.1097, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8063, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.6062, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7586, scimark_benchmark: 1854.4431, usercpu_time_millis: 4424.368, usercpu_time_millis_testing: 3.553, usercpu_time_millis_training: 4420.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.799, kappa: 0.5946, kb_relative_information_score: 1622.7739, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7994, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7653, scimark_benchmark: 1719.9869, usercpu_time_millis: 6404.413, usercpu_time_millis_testing: 3.335, usercpu_time_millis_training: 6401.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.7795, kappa: 0.5551, kb_relative_information_score: 1405.4684, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7798, predictive_accuracy: 0.7801, prior_entropy: 0.9948, recall: 0.7801, relative_absolute_error: 0.6599, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.7958, scimark_benchmark: 1503.751, usercpu_time_millis: 775.51, usercpu_time_millis_testing: 1.03, usercpu_time_millis_training: 774.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.1241, 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: 1513.0599, usercpu_time_millis: 9.8, usercpu_time_millis_testing: 1.5, usercpu_time_millis_training: 8.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.806, kappa: 0.6087, kb_relative_information_score: 1679.3579, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8063, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.5839, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.756, scimark_benchmark: 1558.7174, usercpu_time_millis: 6863.58, usercpu_time_millis_testing: 1.87, usercpu_time_millis_training: 6861.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.7998, kappa: 0.5961, kb_relative_information_score: 1559.3873, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8002, predictive_accuracy: 0.8003, prior_entropy: 0.9948, recall: 0.8003, relative_absolute_error: 0.619, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7674, scimark_benchmark: 1726.5817, usercpu_time_millis: 443.946, usercpu_time_millis_testing: 1.106, usercpu_time_millis_training: 442.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.7873, kappa: 0.5709, kb_relative_information_score: 1196.1087, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7876, predictive_accuracy: 0.7878, prior_entropy: 0.9948, recall: 0.7878, relative_absolute_error: 0.7195, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8082, scimark_benchmark: 1824.6017, usercpu_time_millis: 489.768, usercpu_time_millis_testing: 3.001, usercpu_time_millis_training: 486.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.7928, kappa: 0.582, kb_relative_information_score: 1449.7459, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7933, predictive_accuracy: 0.7934, prior_entropy: 0.9948, recall: 0.7934, relative_absolute_error: 0.6487, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.39, root_relative_squared_error: 0.7828, scimark_benchmark: 1686.0955, usercpu_time_millis: 538.842, usercpu_time_millis_testing: 1.403, usercpu_time_millis_training: 537.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7997, kappa: 0.5959, kb_relative_information_score: 1397.5775, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7998, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.7824, scimark_benchmark: 1846.2342, usercpu_time_millis: 623.908, usercpu_time_millis_testing: 2.271, usercpu_time_millis_training: 621.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.7696, kappa: 0.5353, kb_relative_information_score: 1321.8862, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7699, predictive_accuracy: 0.7702, prior_entropy: 0.9948, recall: 0.7702, relative_absolute_error: 0.6811, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8153, scimark_benchmark: 1850.2875, usercpu_time_millis: 627.253, usercpu_time_millis_testing: 1.363, usercpu_time_millis_training: 625.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.7921, kappa: 0.5806, kb_relative_information_score: 1533.7507, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7924, predictive_accuracy: 0.7926, prior_entropy: 0.9948, recall: 0.7926, relative_absolute_error: 0.624, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.7766, scimark_benchmark: 1483.1686, usercpu_time_millis: 7678.66, usercpu_time_millis_testing: 2.77, usercpu_time_millis_training: 7675.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.8066, kappa: 0.6099, kb_relative_information_score: 1606.5866, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8068, predictive_accuracy: 0.807, prior_entropy: 0.9948, recall: 0.807, relative_absolute_error: 0.6066, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7581, scimark_benchmark: 832.757, usercpu_time_millis: 9454.42, usercpu_time_millis_testing: 6.89, usercpu_time_millis_training: 9447.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.7998, kappa: 0.5962, kb_relative_information_score: 1360.0176, mean_absolute_error: 0.3355, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7998, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.7822, scimark_benchmark: 1484.0633, usercpu_time_millis: 30.1, usercpu_time_millis_testing: 0.65, usercpu_time_millis_training: 29.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.7894, kappa: 0.5752, kb_relative_information_score: 1399.9684, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7897, predictive_accuracy: 0.7899, prior_entropy: 0.9948, recall: 0.7899, relative_absolute_error: 0.6625, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7928, scimark_benchmark: 1428.2043, usercpu_time_millis: 379.17, usercpu_time_millis_testing: 0.9, usercpu_time_millis_training: 378.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.7744, kappa: 0.5447, kb_relative_information_score: 1297.041, mean_absolute_error: 0.3426, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7758, predictive_accuracy: 0.7755, prior_entropy: 0.9948, recall: 0.7755, relative_absolute_error: 0.6901, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8099, scimark_benchmark: 1611.9928, usercpu_time_millis: 444.34, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 443.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.7896, kappa: 0.5756, kb_relative_information_score: 1551.4818, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.79, predictive_accuracy: 0.7902, prior_entropy: 0.9948, recall: 0.7902, relative_absolute_error: 0.6186, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.7761, scimark_benchmark: 1319.8856, usercpu_time_millis: 8959.04, usercpu_time_millis_testing: 3.1, usercpu_time_millis_training: 8955.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.7524, kappa: 0.5004, kb_relative_information_score: 981.6775, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7542, predictive_accuracy: 0.7539, prior_entropy: 0.9948, recall: 0.7539, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.8479, scimark_benchmark: 1492.0652, usercpu_time_millis: 400.62, usercpu_time_millis_testing: 2.64, usercpu_time_millis_training: 397.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.091, 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: 1525.0539, usercpu_time_millis: 6.19, usercpu_time_millis_testing: 0.93, usercpu_time_millis_training: 5.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.0257, 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: 1491.6404, usercpu_time_millis: 5.16, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 4.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.7836, kappa: 0.5633, kb_relative_information_score: 1304.7769, mean_absolute_error: 0.3418, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7843, predictive_accuracy: 0.7843, prior_entropy: 0.9948, recall: 0.7843, relative_absolute_error: 0.6885, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8027, scimark_benchmark: 1539.3195, usercpu_time_millis: 1635.28, usercpu_time_millis_testing: 2.44, usercpu_time_millis_training: 1632.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7978, kappa: 0.5923, kb_relative_information_score: 1494.3998, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.798, predictive_accuracy: 0.7982, prior_entropy: 0.9948, recall: 0.7982, relative_absolute_error: 0.6366, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.7766, scimark_benchmark: 1510.0622, usercpu_time_millis: 948.84, usercpu_time_millis_testing: 0.87, usercpu_time_millis_training: 947.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8094, kappa: 0.6158, kb_relative_information_score: 1722.168, mean_absolute_error: 0.2843, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8094, predictive_accuracy: 0.8097, prior_entropy: 0.9948, recall: 0.8097, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7457, scimark_benchmark: 1482.2254, usercpu_time_millis: 7049.98, usercpu_time_millis_testing: 7.56, usercpu_time_millis_training: 7042.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.7936, kappa: 0.5837, kb_relative_information_score: 1458.8321, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.794, predictive_accuracy: 0.7942, prior_entropy: 0.9948, recall: 0.7942, relative_absolute_error: 0.6475, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.7789, scimark_benchmark: 1532.0979, usercpu_time_millis: 1609.4, usercpu_time_millis_testing: 1.93, usercpu_time_millis_training: 1607.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.812, kappa: 0.6208, kb_relative_information_score: 1539.2954, mean_absolute_error: 0.3114, 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: 0.6273, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7578, scimark_benchmark: 1530.4665, usercpu_time_millis: 1176.48, usercpu_time_millis_testing: 3.82, usercpu_time_millis_training: 1172.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.7987, kappa: 0.5939, kb_relative_information_score: 1508.7949, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7991, predictive_accuracy: 0.7993, prior_entropy: 0.9948, recall: 0.7993, relative_absolute_error: 0.634, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7719, scimark_benchmark: 1370.9044, usercpu_time_millis: 5675.76, usercpu_time_millis_testing: 4.58, usercpu_time_millis_training: 5671.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7748, kappa: 0.5462, kb_relative_information_score: 1708.462, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7748, predictive_accuracy: 0.775, prior_entropy: 0.9948, recall: 0.775, relative_absolute_error: 0.5608, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8061, scimark_benchmark: 1495.1226, usercpu_time_millis: 32.14, usercpu_time_millis_testing: 0.6, usercpu_time_millis_training: 31.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.7618, kappa: 0.5194, kb_relative_information_score: 1205.9861, mean_absolute_error: 0.3548, 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: 0.7146, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8219, scimark_benchmark: 1514.9532, usercpu_time_millis: 149.5, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 148.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1402, 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: 1486.5263, usercpu_time_millis: 9.7, usercpu_time_millis_testing: 1.45, usercpu_time_millis_training: 8.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.7668, kappa: 0.5295, kb_relative_information_score: 1334.2774, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.769, predictive_accuracy: 0.7683, prior_entropy: 0.9948, recall: 0.7683, relative_absolute_error: 0.678, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8092, scimark_benchmark: 1471.2024, usercpu_time_millis: 1060.86, usercpu_time_millis_testing: 0.82, usercpu_time_millis_training: 1060.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7615, kappa: 0.5188, kb_relative_information_score: 1086.9157, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7619, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8297, scimark_benchmark: 1852.9988, usercpu_time_millis: 191.678, usercpu_time_millis_testing: 1.952, usercpu_time_millis_training: 189.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.769, kappa: 0.5339, kb_relative_information_score: 1252.2567, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7694, predictive_accuracy: 0.7697, prior_entropy: 0.9948, recall: 0.7697, relative_absolute_error: 0.7015, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.407, root_relative_squared_error: 0.817, scimark_benchmark: 1855.6669, usercpu_time_millis: 274.294, usercpu_time_millis_testing: 1.292, usercpu_time_millis_training: 273.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7581, kappa: 0.5121, kb_relative_information_score: 1261.1318, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7619, predictive_accuracy: 0.7603, prior_entropy: 0.9948, recall: 0.7603, relative_absolute_error: 0.6996, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8239, scimark_benchmark: 1852.5406, usercpu_time_millis: 477.222, usercpu_time_millis_testing: 0.86, usercpu_time_millis_training: 476.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8056, kappa: 0.6078, kb_relative_information_score: 1441.0635, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8062, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.7723, scimark_benchmark: 1504.088, usercpu_time_millis: 1502.74, usercpu_time_millis_testing: 4.11, usercpu_time_millis_training: 1498.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.7933, kappa: 0.583, kb_relative_information_score: 1479.2983, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7938, predictive_accuracy: 0.7939, prior_entropy: 0.9948, recall: 0.7939, relative_absolute_error: 0.6408, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.781, scimark_benchmark: 1852.9259, usercpu_time_millis: 542.363, usercpu_time_millis_testing: 1.157, usercpu_time_millis_training: 541.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.7866, kappa: 0.5695, kb_relative_information_score: 1484.0875, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7871, predictive_accuracy: 0.7873, prior_entropy: 0.9948, recall: 0.7873, relative_absolute_error: 0.6379, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.7843, scimark_benchmark: 1587.6582, usercpu_time_millis: 1264.01, usercpu_time_millis_testing: 0.97, usercpu_time_millis_training: 1263.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.8082, kappa: 0.6132, kb_relative_information_score: 1636.9377, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8084, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.5982, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7528, scimark_benchmark: 1848.916, usercpu_time_millis: 921.192, usercpu_time_millis_testing: 1.85, usercpu_time_millis_training: 919.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.7846, kappa: 0.5654, kb_relative_information_score: 1430.5091, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7849, predictive_accuracy: 0.7851, prior_entropy: 0.9948, recall: 0.7851, relative_absolute_error: 0.6539, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7902, scimark_benchmark: 1842.7957, usercpu_time_millis: 571.255, usercpu_time_millis_testing: 1.327, usercpu_time_millis_training: 569.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7636, kappa: 0.523, kb_relative_information_score: 1283.5269, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.765, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8182, scimark_benchmark: 1853.454, usercpu_time_millis: 976.263, usercpu_time_millis_testing: 1.38, usercpu_time_millis_training: 974.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8049, kappa: 0.6065, kb_relative_information_score: 1670.9498, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8053, predictive_accuracy: 0.8054, prior_entropy: 0.9948, recall: 0.8054, relative_absolute_error: 0.5866, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7559, scimark_benchmark: 1849.8294, usercpu_time_millis: 12192.644, usercpu_time_millis_testing: 4.32, usercpu_time_millis_training: 12188.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0865, 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: 843.3052, usercpu_time_millis: 10.78, usercpu_time_millis_testing: 1.65, usercpu_time_millis_training: 9.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7895, kappa: 0.5756, kb_relative_information_score: 1153.9832, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7897, predictive_accuracy: 0.7899, prior_entropy: 0.9948, recall: 0.7899, relative_absolute_error: 0.7333, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.804, scimark_benchmark: 964.1576, usercpu_time_millis: 172.02, usercpu_time_millis_testing: 12.09, usercpu_time_millis_training: 159.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.0896, 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: 1156.9993, usercpu_time_millis: 11.17, usercpu_time_millis_testing: 1.81, usercpu_time_millis_training: 9.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.7659, kappa: 0.5278, kb_relative_information_score: 1260.3091, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7661, predictive_accuracy: 0.7665, prior_entropy: 0.9948, recall: 0.7665, relative_absolute_error: 0.6984, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8216, scimark_benchmark: 841.1637, usercpu_time_millis: 428.84, usercpu_time_millis_testing: 1.43, usercpu_time_millis_training: 427.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7369, kappa: 0.471, kb_relative_information_score: 678.6591, mean_absolute_error: 0.4241, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7377, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.8543, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.8904, scimark_benchmark: 1441.7074, usercpu_time_millis: 197.26, usercpu_time_millis_testing: 1.71, usercpu_time_millis_training: 195.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 939.0721, mean_absolute_error: 0.3916, 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: 0.7888, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.878, scimark_benchmark: 1476.567, usercpu_time_millis: 45.65, usercpu_time_millis_testing: 0.83, usercpu_time_millis_training: 44.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.3813, kb_relative_information_score: 0.0412, 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: 2128.2902, usercpu_time_millis: 8.304, usercpu_time_millis_testing: 1.359, usercpu_time_millis_training: 6.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.7065, kappa: 0.4079, kb_relative_information_score: 550.2283, mean_absolute_error: 0.4381, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7087, predictive_accuracy: 0.7089, prior_entropy: 0.9948, recall: 0.7089, relative_absolute_error: 0.8825, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9048, scimark_benchmark: 1830.0253, usercpu_time_millis: 21.812, usercpu_time_millis_testing: 1.983, usercpu_time_millis_training: 19.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.1157, 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: 1486.4793, usercpu_time_millis: 6.97, usercpu_time_millis_testing: 1.1, usercpu_time_millis_training: 5.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7306, kappa: 0.4564, kb_relative_information_score: 453.7492, mean_absolute_error: 0.4496, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7335, predictive_accuracy: 0.7329, prior_entropy: 0.9948, recall: 0.7329, relative_absolute_error: 0.9057, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9207, scimark_benchmark: 1848.2615, usercpu_time_millis: 14.592, usercpu_time_millis_testing: 0.784, usercpu_time_millis_training: 13.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.7796, kappa: 0.5554, kb_relative_information_score: 1152.3017, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7798, predictive_accuracy: 0.7801, prior_entropy: 0.9948, recall: 0.7801, relative_absolute_error: 0.7314, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8109, scimark_benchmark: 1996.2453, usercpu_time_millis: 17.107, usercpu_time_millis_testing: 1.043, usercpu_time_millis_training: 16.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7363, kappa: 0.4693, kb_relative_information_score: 715.7534, mean_absolute_error: 0.4195, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7367, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.8451, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.8844, scimark_benchmark: 1992.2576, usercpu_time_millis: 63.082, usercpu_time_millis_testing: 0.866, usercpu_time_millis_training: 62.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.7505, kappa: 0.4967, kb_relative_information_score: 1209.462, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7544, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.7151, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8426, scimark_benchmark: 1851.5764, usercpu_time_millis: 79.132, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 78.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.782, kappa: 0.5602, kb_relative_information_score: 1385.4705, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7822, predictive_accuracy: 0.7825, prior_entropy: 0.9948, recall: 0.7825, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.7961, scimark_benchmark: 1498.6498, usercpu_time_millis: 1125.73, usercpu_time_millis_testing: 1.39, usercpu_time_millis_training: 1124.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.803, kappa: 0.6027, kb_relative_information_score: 1638.1084, mean_absolute_error: 0.2958, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8034, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7609, scimark_benchmark: 1470.516, usercpu_time_millis: 9799.49, usercpu_time_millis_testing: 2.39, usercpu_time_millis_training: 9797.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.8028, kappa: 0.6022, kb_relative_information_score: 1615.0017, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8031, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.6032, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7603, scimark_benchmark: 1395.3098, usercpu_time_millis: 10825.11, usercpu_time_millis_testing: 3.39, usercpu_time_millis_training: 10821.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7939, kappa: 0.5845, kb_relative_information_score: 1470.2281, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7939, predictive_accuracy: 0.7942, prior_entropy: 0.9948, recall: 0.7942, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7808, scimark_benchmark: 1223.1789, usercpu_time_millis: 1529.29, usercpu_time_millis_testing: 1.41, usercpu_time_millis_training: 1527.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: 0.0394, 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: 1555.5566, usercpu_time_millis: 5.24, usercpu_time_millis_testing: 0.79, usercpu_time_millis_training: 4.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1154, 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: 1375.9638, usercpu_time_millis: 7.89, usercpu_time_millis_testing: 1.25, usercpu_time_millis_training: 6.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.781, kappa: 0.5581, kb_relative_information_score: 1379.9955, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.782, predictive_accuracy: 0.7819, prior_entropy: 0.9948, recall: 0.7819, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.7985, scimark_benchmark: 909.2085, usercpu_time_millis: 3227.46, usercpu_time_millis_testing: 2.55, usercpu_time_millis_training: 3224.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.7841, kappa: 0.5643, kb_relative_information_score: 1311.4124, mean_absolute_error: 0.3408, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7848, predictive_accuracy: 0.7849, prior_entropy: 0.9948, recall: 0.7849, relative_absolute_error: 0.6865, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8034, scimark_benchmark: 1514.926, usercpu_time_millis: 1472.47, usercpu_time_millis_testing: 2.02, usercpu_time_millis_training: 1470.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.1043, 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: 1488.9801, usercpu_time_millis: 7.41, usercpu_time_millis_testing: 1.27, usercpu_time_millis_training: 6.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.7461, kappa: 0.488, kb_relative_information_score: 1169.3728, mean_absolute_error: 0.3606, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7509, predictive_accuracy: 0.7489, prior_entropy: 0.9948, recall: 0.7489, relative_absolute_error: 0.7263, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8414, scimark_benchmark: 1408.2407, usercpu_time_millis: 17.13, usercpu_time_millis_testing: 0.71, usercpu_time_millis_training: 16.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.769, kappa: 0.5341, kb_relative_information_score: 1254.1081, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7694, predictive_accuracy: 0.7697, prior_entropy: 0.9948, recall: 0.7697, relative_absolute_error: 0.7005, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8181, scimark_benchmark: 1432.8269, usercpu_time_millis: 1165.29, usercpu_time_millis_testing: 2.11, usercpu_time_millis_training: 1163.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.7945, kappa: 0.5855, kb_relative_information_score: 1556.4742, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7948, predictive_accuracy: 0.795, prior_entropy: 0.9948, recall: 0.795, relative_absolute_error: 0.6183, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7717, scimark_benchmark: 816.8622, usercpu_time_millis: 5017.23, usercpu_time_millis_testing: 1.81, usercpu_time_millis_training: 5015.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.7512, kappa: 0.4979, kb_relative_information_score: 989.4433, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7527, predictive_accuracy: 0.7526, prior_entropy: 0.9948, recall: 0.7526, relative_absolute_error: 0.7764, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8491, scimark_benchmark: 1586.291, usercpu_time_millis: 465.59, usercpu_time_millis_testing: 1.6, usercpu_time_millis_training: 463.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.787, kappa: 0.5703, kb_relative_information_score: 1343.1672, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7873, predictive_accuracy: 0.7875, prior_entropy: 0.9948, recall: 0.7875, relative_absolute_error: 0.6786, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.7947, scimark_benchmark: 1813.7536, usercpu_time_millis: 909.781, usercpu_time_millis_testing: 2.585, usercpu_time_millis_training: 907.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7491, kappa: 0.494, kb_relative_information_score: 1286.924, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.753, predictive_accuracy: 0.7515, prior_entropy: 0.9948, recall: 0.7515, relative_absolute_error: 0.6912, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8232, scimark_benchmark: 1849.8294, usercpu_time_millis: 2642.167, usercpu_time_millis_testing: 1.956, usercpu_time_millis_training: 2640.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8088, kappa: 0.6145, kb_relative_information_score: 1677.9389, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8089, predictive_accuracy: 0.8091, prior_entropy: 0.9948, recall: 0.8091, relative_absolute_error: 0.5853, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7515, scimark_benchmark: 1501.2007, usercpu_time_millis: 2619.06, usercpu_time_millis_testing: 1.59, usercpu_time_millis_training: 2617.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.7797, kappa: 0.5555, kb_relative_information_score: 1365.13, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7806, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.7958, scimark_benchmark: 1592.3873, usercpu_time_millis: 840.18, usercpu_time_millis_testing: 1.02, usercpu_time_millis_training: 839.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.7971, kappa: 0.5907, kb_relative_information_score: 1560.666, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7975, predictive_accuracy: 0.7977, prior_entropy: 0.9948, recall: 0.7977, relative_absolute_error: 0.6186, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.7684, scimark_benchmark: 1850.9434, usercpu_time_millis: 3819.14, usercpu_time_millis_testing: 3.528, usercpu_time_millis_training: 3815.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.8006, kappa: 0.5978, kb_relative_information_score: 1563.2474, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.801, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.618, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.7666, scimark_benchmark: 1852.9259, usercpu_time_millis: 3169.283, usercpu_time_millis_testing: 2.806, usercpu_time_millis_training: 3166.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.7939, kappa: 0.5844, kb_relative_information_score: 1777.562, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7939, predictive_accuracy: 0.7942, prior_entropy: 0.9948, recall: 0.7942, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.7633, scimark_benchmark: 1842.6679, usercpu_time_millis: 4175.228, usercpu_time_millis_testing: 1.68, usercpu_time_millis_training: 4173.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.7596, kappa: 0.5149, kb_relative_information_score: 1337.5855, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7623, predictive_accuracy: 0.7614, prior_entropy: 0.9948, recall: 0.7614, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8124, scimark_benchmark: 2123.2729, usercpu_time_millis: 5639.317, usercpu_time_millis_testing: 2.261, usercpu_time_millis_training: 5637.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.7492, kappa: 0.4941, kb_relative_information_score: 1309.7746, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7522, predictive_accuracy: 0.7513, prior_entropy: 0.9948, recall: 0.7513, relative_absolute_error: 0.6839, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8211, scimark_benchmark: 1433.0723, usercpu_time_millis: 832.16, usercpu_time_millis_testing: 0.88, usercpu_time_millis_training: 831.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.7798, kappa: 0.5556, kb_relative_information_score: 1425.049, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7805, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.6534, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.7953, scimark_benchmark: 1532.6251, usercpu_time_millis: 8359.84, usercpu_time_millis_testing: 2.48, usercpu_time_millis_training: 8357.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 923.901, mean_absolute_error: 0.3936, 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: 0.7928, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8725, scimark_benchmark: 1500.1782, usercpu_time_millis: 231.38, usercpu_time_millis_testing: 1.33, usercpu_time_millis_training: 230.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.7212, kappa: 0.4374, kb_relative_information_score: 650.9464, mean_absolute_error: 0.4262, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7216, predictive_accuracy: 0.7222, prior_entropy: 0.9948, recall: 0.7222, relative_absolute_error: 0.8586, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.8887, scimark_benchmark: 1511.0131, usercpu_time_millis: 42.56, usercpu_time_millis_testing: 1.42, usercpu_time_millis_training: 41.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.7973, kappa: 0.5912, kb_relative_information_score: 1398.5739, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7974, predictive_accuracy: 0.7977, prior_entropy: 0.9948, recall: 0.7977, relative_absolute_error: 0.6644, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7831, scimark_benchmark: 1492.0776, usercpu_time_millis: 1520.97, usercpu_time_millis_testing: 3.58, usercpu_time_millis_training: 1517.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.8057, kappa: 0.6082, kb_relative_information_score: 1553.9115, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.6222, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7604, scimark_benchmark: 1479.4912, usercpu_time_millis: 1563.03, usercpu_time_millis_testing: 2.21, usercpu_time_millis_training: 1560.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8104, kappa: 0.6177, kb_relative_information_score: 1664.4526, mean_absolute_error: 0.2931, 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: 0.5905, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7471, scimark_benchmark: 1345.6434, usercpu_time_millis: 2152.37, usercpu_time_millis_testing: 4.08, usercpu_time_millis_training: 2148.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.7962, kappa: 0.589, kb_relative_information_score: 1306.9373, mean_absolute_error: 0.3426, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7963, predictive_accuracy: 0.7966, prior_entropy: 0.9948, recall: 0.7966, relative_absolute_error: 0.69, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.792, scimark_benchmark: 1582.8475, usercpu_time_millis: 227.18, usercpu_time_millis_testing: 1.21, usercpu_time_millis_training: 225.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.7838, kappa: 0.5637, kb_relative_information_score: 1409.1863, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7846, predictive_accuracy: 0.7846, prior_entropy: 0.9948, recall: 0.7846, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7913, scimark_benchmark: 1519.3689, usercpu_time_millis: 4518.48, usercpu_time_millis_testing: 3.14, usercpu_time_millis_training: 4515.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7881, kappa: 0.5726, kb_relative_information_score: 1515.1915, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7883, predictive_accuracy: 0.7886, prior_entropy: 0.9948, recall: 0.7886, relative_absolute_error: 0.6293, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.388, root_relative_squared_error: 0.7788, scimark_benchmark: 1506.1845, usercpu_time_millis: 1695.09, usercpu_time_millis_testing: 0.97, usercpu_time_millis_training: 1694.12,

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