Task
Supervised Classification on Click_prediction_small

Supervised Classification on Click_prediction_small

Task 14971 Supervised Classification Click_prediction_small 21169 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.7551, kb_relative_information_score: -1834.8205, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.9812, scimark_benchmark: 1859.1356, usercpu_time_millis: 81.23, usercpu_time_millis_testing: 6.858, usercpu_time_millis_training: 74.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.7551, kb_relative_information_score: -2784.9842, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9557, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.9722, scimark_benchmark: 1840.3077, usercpu_time_millis: 103.303, usercpu_time_millis_testing: 7.15, usercpu_time_millis_training: 96.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.7555, kappa: 0.0015, kb_relative_information_score: -2856.4102, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7548, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.9503, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9715, scimark_benchmark: 1845.2509, usercpu_time_millis: 95.915, usercpu_time_millis_testing: 4.464, usercpu_time_millis_training: 91.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6448, f_measure: 0.7551, kb_relative_information_score: -3778.3539, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.973, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.9841, scimark_benchmark: 1855.4813, usercpu_time_millis: 81.709, usercpu_time_millis_testing: 5.61, usercpu_time_millis_training: 76.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, f_measure: 0.7771, kappa: 0.095, kb_relative_information_score: -4215.4124, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7856, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.9731, scimark_benchmark: 1842.772, usercpu_time_millis: 50.809, usercpu_time_millis_testing: 1.457, usercpu_time_millis_training: 49.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.7599, kappa: 0.0197, kb_relative_information_score: -2382.8129, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7905, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9325, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9638, scimark_benchmark: 1838.1793, usercpu_time_millis: 57.737, usercpu_time_millis_testing: 0.978, usercpu_time_millis_training: 56.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6362, f_measure: 0.7551, kb_relative_information_score: -2165.2228, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.9876, scimark_benchmark: 1850.2875, usercpu_time_millis: 69.015, usercpu_time_millis_testing: 8.458, usercpu_time_millis_training: 60.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.7551, kb_relative_information_score: -2389.4601, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9577, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9714, scimark_benchmark: 1827.6328, usercpu_time_millis: 90.836, usercpu_time_millis_testing: 5.481, usercpu_time_millis_training: 85.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.758, kappa: 0.0117, kb_relative_information_score: -2452.3907, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8107, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9504, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9674, scimark_benchmark: 1837.1955, usercpu_time_millis: 80.535, usercpu_time_millis_testing: 7.344, usercpu_time_millis_training: 73.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, f_measure: 0.7713, kappa: 0.0684, kb_relative_information_score: -4179.1443, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7917, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.949, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 1852.9259, usercpu_time_millis: 63.711, usercpu_time_millis_testing: 2.61, usercpu_time_millis_training: 61.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.7559, kappa: 0.0031, kb_relative_information_score: -3178.9559, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7989, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9587, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.9762, scimark_benchmark: 1855.0232, usercpu_time_millis: 63.904, usercpu_time_millis_testing: 2.682, usercpu_time_millis_training: 61.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -27.9047, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1852.4707, usercpu_time_millis: 41.712, usercpu_time_millis_testing: 4.639, usercpu_time_millis_training: 37.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -1.2548, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1841.2265, usercpu_time_millis: 47.133, usercpu_time_millis_testing: 8.061, usercpu_time_millis_training: 39.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6515, f_measure: 0.7551, kb_relative_information_score: -1659.5325, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9857, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.9884, scimark_benchmark: 1847.155, usercpu_time_millis: 69.009, usercpu_time_millis_testing: 8.949, usercpu_time_millis_training: 60.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -2347.1172, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.95, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9679, scimark_benchmark: 1855.0989, usercpu_time_millis: 38.67, usercpu_time_millis_testing: 1.5, usercpu_time_millis_training: 37.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -15.248, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 55.699, usercpu_time_millis_testing: 6.62, usercpu_time_millis_training: 49.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -27.2822, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1843.9149, usercpu_time_millis: 45.687, usercpu_time_millis_testing: 3.856, usercpu_time_millis_training: 41.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6926, f_measure: 0.7699, kappa: 0.0621, kb_relative_information_score: -2456.043, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7979, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.925, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9623, scimark_benchmark: 1845.7835, usercpu_time_millis: 74.01, usercpu_time_millis_testing: 0.935, usercpu_time_millis_training: 73.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: 1.3212, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1852.9259, usercpu_time_millis: 37.543, usercpu_time_millis_testing: 6.653, usercpu_time_millis_training: 30.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6736, f_measure: 0.7582, kappa: 0.0128, kb_relative_information_score: -2803.7009, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7675, predictive_accuracy: 0.8312, prior_entropy: 0.6541, recall: 0.8312, relative_absolute_error: 0.9471, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9717, scimark_benchmark: 1840.3802, usercpu_time_millis: 56.418, usercpu_time_millis_testing: 1.122, usercpu_time_millis_training: 55.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: 3.5676, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1848.388, usercpu_time_millis: 31.871, usercpu_time_millis_testing: 5.51, usercpu_time_millis_training: 26.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -14.0706, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1851.4874, usercpu_time_millis: 23.672, usercpu_time_millis_testing: 3.881, usercpu_time_millis_training: 19.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -6.6678, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1856.6468, usercpu_time_millis: 40.892, usercpu_time_millis_testing: 5.145, usercpu_time_millis_training: 35.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.7625, kappa: 0.0304, kb_relative_information_score: -2338.8331, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8074, predictive_accuracy: 0.8334, prior_entropy: 0.6541, recall: 0.8334, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9623, scimark_benchmark: 1847.3406, usercpu_time_millis: 61.084, usercpu_time_millis_testing: 3.214, usercpu_time_millis_training: 57.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -18.1896, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1852.4008, usercpu_time_millis: 26.151, usercpu_time_millis_testing: 2.321, usercpu_time_millis_training: 23.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -3.1328, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1856.0123, usercpu_time_millis: 38.979, usercpu_time_millis_testing: 6.686, usercpu_time_millis_training: 32.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -2.3269, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1849.4321, usercpu_time_millis: 44.207, usercpu_time_millis_testing: 7.417, usercpu_time_millis_training: 36.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6862, f_measure: 0.7574, kappa: 0.0095, kb_relative_information_score: -2500.6452, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8054, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9677, scimark_benchmark: 1851.6628, usercpu_time_millis: 13.385, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 13.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6448, f_measure: 0.7551, kb_relative_information_score: -1979.2315, mean_absolute_error: 0.2758, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.9879, scimark_benchmark: 1853.9121, usercpu_time_millis: 25.475, usercpu_time_millis_testing: 1.696, usercpu_time_millis_training: 23.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.7551, kb_relative_information_score: -1956.2617, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9886, scimark_benchmark: 1824.6401, usercpu_time_millis: 31.708, usercpu_time_millis_testing: 2.583, usercpu_time_millis_training: 29.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.7551, kb_relative_information_score: -2251.3222, mean_absolute_error: 0.2738, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.9829, scimark_benchmark: 1838.0162, usercpu_time_millis: 54.161, usercpu_time_millis_testing: 4.209, usercpu_time_millis_training: 49.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.7551, kb_relative_information_score: -1967.8885, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9592, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.9703, scimark_benchmark: 1841.2148, usercpu_time_millis: 49.026, usercpu_time_millis_testing: 3.827, usercpu_time_millis_training: 45.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -23.1887, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1844.8764, usercpu_time_millis: 46.715, usercpu_time_millis_testing: 3.796, usercpu_time_millis_training: 42.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.7641, kappa: 0.0372, kb_relative_information_score: -2436.7311, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8046, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.9389, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.962, scimark_benchmark: 1853.9121, usercpu_time_millis: 29.129, usercpu_time_millis_testing: 1.454, usercpu_time_millis_training: 27.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -0.5787, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1853.97, usercpu_time_millis: 49.009, usercpu_time_millis_testing: 8.58, usercpu_time_millis_training: 40.429,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6862, f_measure: 0.7599, kappa: 0.0198, kb_relative_information_score: -2472.0726, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7974, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9409, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9675, scimark_benchmark: 1833.6545, usercpu_time_millis: 369.328, usercpu_time_millis_testing: 16.206, usercpu_time_millis_training: 353.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.7551, kb_relative_information_score: -2585.8479, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.949, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9711, scimark_benchmark: 1837.6484, usercpu_time_millis: 333.128, usercpu_time_millis_testing: 11.929, usercpu_time_millis_training: 321.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.7551, kappa: -0.0003, kb_relative_information_score: -2417.0768, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9674, scimark_benchmark: 1841.6688, usercpu_time_millis: 323.408, usercpu_time_millis_testing: 12.623, usercpu_time_millis_training: 310.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.7602, kappa: 0.0209, kb_relative_information_score: -2511.0568, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7998, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.94, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.967, scimark_benchmark: 1853.9121, usercpu_time_millis: 344.232, usercpu_time_millis_testing: 13.134, usercpu_time_millis_training: 331.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6829, f_measure: 0.7551, kb_relative_information_score: -2583.6498, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.952, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9706, scimark_benchmark: 1842.2065, usercpu_time_millis: 312.128, usercpu_time_millis_testing: 14.44, usercpu_time_millis_training: 297.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, f_measure: 0.7666, kappa: 0.0479, kb_relative_information_score: -2138.76, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7986, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.9601, scimark_benchmark: 1857.1082, usercpu_time_millis: 301.461, usercpu_time_millis_testing: 7.146, usercpu_time_millis_training: 294.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.7711, kappa: 0.0671, kb_relative_information_score: -3002.5006, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7968, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9321, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9637, scimark_benchmark: 1859.1356, usercpu_time_millis: 289.336, usercpu_time_millis_testing: 5.072, usercpu_time_millis_training: 284.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.7581, kappa: 0.0122, kb_relative_information_score: -2413.3447, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8008, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9398, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.966, scimark_benchmark: 1849.8294, usercpu_time_millis: 303.278, usercpu_time_millis_testing: 11.042, usercpu_time_millis_training: 292.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, f_measure: 0.7556, kappa: 0.0019, kb_relative_information_score: -2422.5847, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7864, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9671, scimark_benchmark: 1783.2334, usercpu_time_millis: 308.193, usercpu_time_millis_testing: 15.975, usercpu_time_millis_training: 292.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.7604, kappa: 0.0218, kb_relative_information_score: -2580.2074, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7963, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9362, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 1841.9108, usercpu_time_millis: 283.504, usercpu_time_millis_testing: 5.274, usercpu_time_millis_training: 278.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.7582, kappa: 0.0125, kb_relative_information_score: -2256.2057, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8159, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9414, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9638, scimark_benchmark: 1830.7134, usercpu_time_millis: 294.85, usercpu_time_millis_testing: 14.426, usercpu_time_millis_training: 280.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.7609, kappa: 0.024, kb_relative_information_score: -2532.5017, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7992, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9652, scimark_benchmark: 1847.8629, usercpu_time_millis: 301.818, usercpu_time_millis_testing: 10.161, usercpu_time_millis_training: 291.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6737, f_measure: 0.756, kappa: 0.0036, kb_relative_information_score: -2968.8211, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7784, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9516, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.364, root_relative_squared_error: 0.9727, scimark_benchmark: 1838.6023, usercpu_time_millis: 273.908, usercpu_time_millis_testing: 11.52, usercpu_time_millis_training: 262.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.763, kappa: 0.0328, kb_relative_information_score: -2193.605, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.812, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9613, scimark_benchmark: 1857.5664, usercpu_time_millis: 277.953, usercpu_time_millis_testing: 14.982, usercpu_time_millis_training: 262.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.7598, kappa: 0.0195, kb_relative_information_score: -2478.4016, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7933, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9653, scimark_benchmark: 1844.6953, usercpu_time_millis: 271.312, usercpu_time_millis_testing: 4.857, usercpu_time_millis_training: 266.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.7552, kappa: 0.0003, kb_relative_information_score: -2947.2054, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7589, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.952, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.364, root_relative_squared_error: 0.9727, scimark_benchmark: 1853.9121, usercpu_time_millis: 275.421, usercpu_time_millis_testing: 10.456, usercpu_time_millis_training: 264.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, f_measure: 0.7615, kappa: 0.0265, kb_relative_information_score: -2349.3627, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8066, predictive_accuracy: 0.8331, prior_entropy: 0.6541, recall: 0.8331, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9627, scimark_benchmark: 1810.7504, usercpu_time_millis: 259.076, usercpu_time_millis_testing: 9.803, usercpu_time_millis_training: 249.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.7582, kappa: 0.0128, kb_relative_information_score: -2644.6425, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.772, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9687, scimark_benchmark: 1733.299, usercpu_time_millis: 285.721, usercpu_time_millis_testing: 5.021, usercpu_time_millis_training: 280.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.756, kappa: 0.0036, kb_relative_information_score: -2285.2251, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8089, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9658, scimark_benchmark: 1849.8294, usercpu_time_millis: 273.865, usercpu_time_millis_testing: 16.887, usercpu_time_millis_training: 256.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.7551, kb_relative_information_score: -1957.4399, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.9724, scimark_benchmark: 1858.1494, usercpu_time_millis: 227.163, usercpu_time_millis_testing: 14.883, usercpu_time_millis_training: 212.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.7696, kappa: 0.0606, kb_relative_information_score: -2379.4208, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8019, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9266, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.9602, scimark_benchmark: 1848.2539, usercpu_time_millis: 268.087, usercpu_time_millis_testing: 6.274, usercpu_time_millis_training: 261.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.7681, kappa: 0.0544, kb_relative_information_score: -2919.1568, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7972, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9627, scimark_benchmark: 1825.8417, usercpu_time_millis: 254.245, usercpu_time_millis_testing: 8.06, usercpu_time_millis_training: 246.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.7684, kappa: 0.0556, kb_relative_information_score: -2296.7243, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7973, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9614, scimark_benchmark: 1853.9121, usercpu_time_millis: 257.443, usercpu_time_millis_testing: 3.897, usercpu_time_millis_training: 253.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7581, kappa: 0.0125, kb_relative_information_score: -2561.844, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7801, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9395, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9682, scimark_benchmark: 1855.4813, usercpu_time_millis: 235.749, usercpu_time_millis_testing: 4.564, usercpu_time_millis_training: 231.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, f_measure: 0.7572, kappa: 0.0087, kb_relative_information_score: -2263.5319, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8094, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9419, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9642, scimark_benchmark: 1853.454, usercpu_time_millis: 239.611, usercpu_time_millis_testing: 11.873, usercpu_time_millis_training: 227.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -2002.2685, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9686, scimark_benchmark: 1856.5802, usercpu_time_millis: 245.615, usercpu_time_millis_testing: 20.647, usercpu_time_millis_training: 224.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6815, f_measure: 0.759, kappa: 0.0159, kb_relative_information_score: -2524.244, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7983, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9451, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9693, scimark_benchmark: 1856.0123, usercpu_time_millis: 195.469, usercpu_time_millis_testing: 9.305, usercpu_time_millis_training: 186.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.7588, kappa: 0.0152, kb_relative_information_score: -2617.246, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8054, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9463, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9688, scimark_benchmark: 1830.9034, usercpu_time_millis: 205.012, usercpu_time_millis_testing: 11.19, usercpu_time_millis_training: 193.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.7551, kb_relative_information_score: -1968.963, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9673, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.9756, scimark_benchmark: 1852.1045, usercpu_time_millis: 173.884, usercpu_time_millis_testing: 13.915, usercpu_time_millis_training: 159.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6977, f_measure: 0.7554, kappa: 0.001, kb_relative_information_score: -1798.9488, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7852, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9672, scimark_benchmark: 1814.0567, usercpu_time_millis: 210.759, usercpu_time_millis_testing: 12.721, usercpu_time_millis_training: 198.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6699, f_measure: 0.7551, kb_relative_information_score: -2818.9311, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.9763, scimark_benchmark: 1835.1963, usercpu_time_millis: 202.226, usercpu_time_millis_testing: 11.648, usercpu_time_millis_training: 190.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.7551, kb_relative_information_score: -2636.8758, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9528, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9709, scimark_benchmark: 1803.3623, usercpu_time_millis: 169.999, usercpu_time_millis_testing: 8.937, usercpu_time_millis_training: 161.062,

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