OpenML
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: 0.692, f_measure: 0.7618, kappa: 0.0277, kb_relative_information_score: -2548.3864, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7993, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9331, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9639, scimark_benchmark: 1828.4784, usercpu_time_millis: 297.144, usercpu_time_millis_testing: 4.275, usercpu_time_millis_training: 292.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.767, kappa: 0.0496, kb_relative_information_score: -2548.0555, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7993, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9334, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.9607, scimark_benchmark: 1838.3764, usercpu_time_millis: 244.991, usercpu_time_millis_testing: 10.791, usercpu_time_millis_training: 234.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.7551, kb_relative_information_score: -3317.3194, mean_absolute_error: 0.2698, 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: 0.9631, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.9783, scimark_benchmark: 1703.805, usercpu_time_millis: 253.443, usercpu_time_millis_testing: 10.134, usercpu_time_millis_training: 243.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.7568, kappa: 0.0068, kb_relative_information_score: -2460.3115, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8008, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9449, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9677, scimark_benchmark: 1704.5998, usercpu_time_millis: 239.21, usercpu_time_millis_testing: 12.385, usercpu_time_millis_training: 226.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.7573, kappa: 0.009, kb_relative_information_score: -2388.2905, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8035, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9426, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.966, scimark_benchmark: 1806.2295, usercpu_time_millis: 277.631, usercpu_time_millis_testing: 15.048, usercpu_time_millis_training: 262.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.7593, kappa: 0.0175, kb_relative_information_score: -2705.3022, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7715, predictive_accuracy: 0.8313, prior_entropy: 0.6541, recall: 0.8313, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9678, scimark_benchmark: 1837.7821, usercpu_time_millis: 245.399, usercpu_time_millis_testing: 3.26, usercpu_time_millis_training: 242.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, f_measure: 0.7551, kb_relative_information_score: -2645.0244, 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: 0.9527, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9707, scimark_benchmark: 1780.7531, usercpu_time_millis: 248.609, usercpu_time_millis_testing: 14.145, usercpu_time_millis_training: 234.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.7598, kappa: 0.0192, kb_relative_information_score: -2515.3561, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7916, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.966, scimark_benchmark: 1713.0011, usercpu_time_millis: 268.047, usercpu_time_millis_testing: 6.356, usercpu_time_millis_training: 261.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7009, f_measure: 0.765, kappa: 0.0409, kb_relative_information_score: -2041.0516, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8043, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9322, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.9599, scimark_benchmark: 2123.8558, usercpu_time_millis: 228.11, usercpu_time_millis_testing: 8.765, usercpu_time_millis_training: 219.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.7564, kappa: 0.0051, kb_relative_information_score: -1858.4037, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8197, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9669, scimark_benchmark: 1833.1413, usercpu_time_millis: 231.143, usercpu_time_millis_testing: 14.979, usercpu_time_millis_training: 216.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6226, f_measure: 0.7551, kb_relative_information_score: -4046.9532, mean_absolute_error: 0.2729, 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: 0.9742, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.9864, scimark_benchmark: 1670.7624, usercpu_time_millis: 207.621, usercpu_time_millis_testing: 11.634, usercpu_time_millis_training: 195.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.7551, kb_relative_information_score: -2371.3987, 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: 0.3637, root_relative_squared_error: 0.9718, scimark_benchmark: 1762.3503, usercpu_time_millis: 208.197, usercpu_time_millis_testing: 12.358, usercpu_time_millis_training: 195.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.7613, kappa: 0.0255, kb_relative_information_score: -2507.4183, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9642, scimark_benchmark: 1847.3406, usercpu_time_millis: 226.151, usercpu_time_millis_testing: 7.058, usercpu_time_millis_training: 219.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, f_measure: 0.7612, kappa: 0.0252, kb_relative_information_score: -2302.2443, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.799, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9319, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9628, scimark_benchmark: 1855.1417, usercpu_time_millis: 188.168, usercpu_time_millis_testing: 4.278, usercpu_time_millis_training: 183.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, f_measure: 0.7552, kappa: 0.0004, kb_relative_information_score: -2323.451, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7758, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9471, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9666, scimark_benchmark: 1728.8753, usercpu_time_millis: 226.136, usercpu_time_millis_testing: 11.638, usercpu_time_millis_training: 214.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.7551, kb_relative_information_score: -2354.7847, mean_absolute_error: 0.2664, 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: 0.951, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9682, scimark_benchmark: 1736.4936, usercpu_time_millis: 224.869, usercpu_time_millis_testing: 14.092, usercpu_time_millis_training: 210.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6754, f_measure: 0.7551, kb_relative_information_score: -2341.1004, mean_absolute_error: 0.2715, 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: 0.9693, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.9778, scimark_benchmark: 1807.2415, usercpu_time_millis: 181.794, usercpu_time_millis_testing: 13.297, usercpu_time_millis_training: 168.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.7551, kb_relative_information_score: -1967.0144, mean_absolute_error: 0.2693, 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: 0.9615, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.972, scimark_benchmark: 1741.0287, usercpu_time_millis: 204.365, usercpu_time_millis_testing: 14.72, usercpu_time_millis_training: 189.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.7551, kb_relative_information_score: -2920.2105, 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: 0.9581, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9739, scimark_benchmark: 1718.2275, usercpu_time_millis: 199.848, usercpu_time_millis_testing: 10.078, usercpu_time_millis_training: 189.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.7579, kappa: 0.0113, kb_relative_information_score: -2457.3993, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7912, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1760.4083, usercpu_time_millis: 177.782, usercpu_time_millis_testing: 4.634, usercpu_time_millis_training: 173.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6718, f_measure: 0.7551, kb_relative_information_score: -2876.5335, mean_absolute_error: 0.2702, 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: 0.9645, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9766, scimark_benchmark: 1710.4178, usercpu_time_millis: 167.067, usercpu_time_millis_testing: 9.912, usercpu_time_millis_training: 157.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.7551, kb_relative_information_score: -1967.5158, mean_absolute_error: 0.2704, 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: 0.9652, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9744, scimark_benchmark: 1853.454, usercpu_time_millis: 164.917, usercpu_time_millis_testing: 11.879, usercpu_time_millis_training: 153.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6703, f_measure: 0.7551, kb_relative_information_score: -3133.4914, 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: 0.9583, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.9756, scimark_benchmark: 1828.0989, usercpu_time_millis: 191.325, usercpu_time_millis_testing: 7.599, usercpu_time_millis_training: 183.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, f_measure: 0.7551, kb_relative_information_score: -3937.8911, 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: 0.9731, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.985, scimark_benchmark: 1763.7029, usercpu_time_millis: 168.63, usercpu_time_millis_testing: 10.178, usercpu_time_millis_training: 158.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.7551, kb_relative_information_score: -2911.6762, mean_absolute_error: 0.268, 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: 0.9568, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.9731, scimark_benchmark: 1842.3616, usercpu_time_millis: 151.68, usercpu_time_millis_testing: 10.2, usercpu_time_millis_training: 141.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -2473.787, mean_absolute_error: 0.2651, 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: 0.9464, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9692, scimark_benchmark: 1857.6392, usercpu_time_millis: 180.781, usercpu_time_millis_testing: 7.13, usercpu_time_millis_training: 173.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.7613, kappa: 0.0257, kb_relative_information_score: -2429.2971, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7961, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9319, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9631, scimark_benchmark: 1738.3274, usercpu_time_millis: 177.842, usercpu_time_millis_testing: 2.869, usercpu_time_millis_training: 174.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, f_measure: 0.7551, kb_relative_information_score: -2520.737, mean_absolute_error: 0.2672, 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: 0.9539, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9707, scimark_benchmark: 1761.8759, usercpu_time_millis: 149.309, usercpu_time_millis_testing: 6.768, usercpu_time_millis_training: 142.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.758, kappa: 0.0119, kb_relative_information_score: -1815.9576, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8266, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9527, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9658, scimark_benchmark: 1850.4154, usercpu_time_millis: 137.734, usercpu_time_millis_testing: 7.959, usercpu_time_millis_training: 129.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6763, f_measure: 0.7583, kappa: 0.013, kb_relative_information_score: -2969.3792, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.791, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9501, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9717, scimark_benchmark: 1822.3169, usercpu_time_millis: 124.199, usercpu_time_millis_testing: 5.637, usercpu_time_millis_training: 118.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.7665, kappa: 0.0475, kb_relative_information_score: -2911.4203, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7964, predictive_accuracy: 0.8335, prior_entropy: 0.6541, recall: 0.8335, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9644, scimark_benchmark: 1721.2871, usercpu_time_millis: 145.255, usercpu_time_millis_testing: 3.226, usercpu_time_millis_training: 142.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, f_measure: 0.7697, kappa: 0.0609, kb_relative_information_score: -2576.232, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.799, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9279, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.9607, scimark_benchmark: 1722.0926, usercpu_time_millis: 159.697, usercpu_time_millis_testing: 3.997, usercpu_time_millis_training: 155.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.7551, kb_relative_information_score: -1998.5275, mean_absolute_error: 0.2693, 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: 0.9612, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9715, scimark_benchmark: 1720.3836, usercpu_time_millis: 133.74, usercpu_time_millis_testing: 8.9, usercpu_time_millis_training: 124.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6858, f_measure: 0.7617, kappa: 0.0271, kb_relative_information_score: -2693.7097, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8017, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9429, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9674, scimark_benchmark: 1720.0398, usercpu_time_millis: 157.974, usercpu_time_millis_testing: 4.48, usercpu_time_millis_training: 153.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, f_measure: 0.7592, kappa: 0.017, kb_relative_information_score: -2407.6961, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7948, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9642, scimark_benchmark: 1845.7835, usercpu_time_millis: 120.203, usercpu_time_millis_testing: 2.943, usercpu_time_millis_training: 117.26,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6613, f_measure: 0.7551, kb_relative_information_score: -3104.1196, mean_absolute_error: 0.2728, 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: 0.9737, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.9821, scimark_benchmark: 1883.9352, usercpu_time_millis: 79.648, usercpu_time_millis_testing: 6.208, usercpu_time_millis_training: 73.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, f_measure: 0.7551, kb_relative_information_score: -1618.7942, 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: 0.3697, root_relative_squared_error: 0.9879, scimark_benchmark: 1723.0578, usercpu_time_millis: 43.689, usercpu_time_millis_testing: 3.139, usercpu_time_millis_training: 40.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6666, f_measure: 0.7563, kappa: 0.0048, kb_relative_information_score: -3169.1135, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7977, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9584, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9758, scimark_benchmark: 1718.188, usercpu_time_millis: 54.565, usercpu_time_millis_testing: 2.11, usercpu_time_millis_training: 52.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6937, f_measure: 0.7592, kappa: 0.0166, kb_relative_information_score: -2368.6423, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.804, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9645, scimark_benchmark: 1829.1182, usercpu_time_millis: 44.988, usercpu_time_millis_testing: 1.155, usercpu_time_millis_training: 43.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.7551, kb_relative_information_score: -2084.9626, mean_absolute_error: 0.2756, 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: 0.9837, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.9876, scimark_benchmark: 1717.041, usercpu_time_millis: 70.698, usercpu_time_millis_testing: 3.208, usercpu_time_millis_training: 67.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -8.0599, 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: 1718.5887, usercpu_time_millis: 46.031, usercpu_time_millis_testing: 4.273, usercpu_time_millis_training: 41.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -4.3018, 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: 1848.388, usercpu_time_millis: 23.605, usercpu_time_millis_testing: 4.021, usercpu_time_millis_training: 19.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6467, f_measure: 0.7551, kb_relative_information_score: -1753.6219, 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: 0.9852, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9881, scimark_benchmark: 1882.0922, usercpu_time_millis: 72.127, usercpu_time_millis_testing: 8.24, usercpu_time_millis_training: 63.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6836, f_measure: 0.7701, kappa: 0.063, kb_relative_information_score: -3354.0934, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7924, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9669, scimark_benchmark: 1835.6055, usercpu_time_millis: 20.294, usercpu_time_millis_testing: 0.521, usercpu_time_millis_training: 19.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.7555, kappa: 0.0015, kb_relative_information_score: -2473.4038, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7665, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9482, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9681, scimark_benchmark: 1716.082, usercpu_time_millis: 44.643, usercpu_time_millis_testing: 1.826, usercpu_time_millis_training: 42.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6728, f_measure: 0.7551, kb_relative_information_score: -1832.1797, 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: 0.976, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.9812, scimark_benchmark: 1720.7843, usercpu_time_millis: 57.493, usercpu_time_millis_testing: 3.954, usercpu_time_millis_training: 53.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -37.2781, 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: 2107.2143, usercpu_time_millis: 18.622, usercpu_time_millis_testing: 1.654, usercpu_time_millis_training: 16.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.7551, kb_relative_information_score: -2885.981, mean_absolute_error: 0.2703, 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: 0.9648, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.9768, scimark_benchmark: 1741.3255, usercpu_time_millis: 56.456, usercpu_time_millis_testing: 2.76, usercpu_time_millis_training: 53.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -75.3111, 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: 1.0004, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1721.0769, usercpu_time_millis: 7.078, usercpu_time_millis_testing: 0.804, usercpu_time_millis_training: 6.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -2407.5626, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7758, 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: 0.3638, root_relative_squared_error: 0.972, scimark_benchmark: 1849.4763, usercpu_time_millis: 10.172, usercpu_time_millis_testing: 0.704, usercpu_time_millis_training: 9.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6693, f_measure: 0.7551, kb_relative_information_score: -2310.027, mean_absolute_error: 0.273, 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: 0.9745, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.9808, scimark_benchmark: 1822.1832, usercpu_time_millis: 13.894, usercpu_time_millis_testing: 0.739, usercpu_time_millis_training: 13.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -21.1973, 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: 1732.2492, usercpu_time_millis: 33.43, usercpu_time_millis_testing: 1.713, usercpu_time_millis_training: 31.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6763, f_measure: 0.7551, kb_relative_information_score: -2350.6017, mean_absolute_error: 0.2715, 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: 0.9691, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.9774, scimark_benchmark: 1834.45, usercpu_time_millis: 25.09, usercpu_time_millis_testing: 2.286, usercpu_time_millis_training: 22.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -33.0534, 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: 1720.6141, usercpu_time_millis: 12.76, usercpu_time_millis_testing: 1.545, usercpu_time_millis_training: 11.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6553, f_measure: 0.7551, kb_relative_information_score: -2080.0665, mean_absolute_error: 0.2751, 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: 0.982, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.369, root_relative_squared_error: 0.986, scimark_benchmark: 1715.1285, usercpu_time_millis: 38.085, usercpu_time_millis_testing: 3.302, usercpu_time_millis_training: 34.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6862, f_measure: 0.7553, kappa: 0.0008, kb_relative_information_score: -2498.5622, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7517, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9468, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9684, scimark_benchmark: 1842.7093, usercpu_time_millis: 18.829, usercpu_time_millis_testing: 0.504, usercpu_time_millis_training: 18.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -10.3046, 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: 1722.265, usercpu_time_millis: 16.8, usercpu_time_millis_testing: 2.491, usercpu_time_millis_training: 14.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -16.0197, 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: 1836.1651, usercpu_time_millis: 11.073, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 10.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -26.0514, 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: 1718.3064, usercpu_time_millis: 24.596, usercpu_time_millis_testing: 3.829, usercpu_time_millis_training: 20.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6485, f_measure: 0.7551, kb_relative_information_score: -3503.2516, mean_absolute_error: 0.2728, 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: 0.9738, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9835, scimark_benchmark: 1885.7736, usercpu_time_millis: 29.465, usercpu_time_millis_testing: 1.488, usercpu_time_millis_training: 27.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7551, kb_relative_information_score: -9.2892, 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: 1732.8451, usercpu_time_millis: 12.917, usercpu_time_millis_testing: 1.605, usercpu_time_millis_training: 11.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6572, f_measure: 0.7742, kappa: 0.0827, kb_relative_information_score: -5197.3052, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7791, predictive_accuracy: 0.8307, prior_entropy: 0.6541, recall: 0.8307, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.9867, scimark_benchmark: 1712.005, usercpu_time_millis: 12.874, usercpu_time_millis_testing: 0.574, usercpu_time_millis_training: 12.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -31.7526, 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: 1705.5941, usercpu_time_millis: 7.177, usercpu_time_millis_testing: 0.816, usercpu_time_millis_training: 6.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.7551, kb_relative_information_score: -2858.719, mean_absolute_error: 0.2762, 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: 0.9861, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.9903, scimark_benchmark: 1708.6025, usercpu_time_millis: 4.771, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 4.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6502, f_measure: 0.7551, kb_relative_information_score: -3805.6247, mean_absolute_error: 0.2719, 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: 0.9705, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9824, scimark_benchmark: 1831.2726, usercpu_time_millis: 8.087, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 7.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.7591, kappa: 0.0164, kb_relative_information_score: -2749.3331, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7685, predictive_accuracy: 0.8311, prior_entropy: 0.6541, recall: 0.8311, relative_absolute_error: 0.9387, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9691, scimark_benchmark: 1727.5559, usercpu_time_millis: 1206.339, usercpu_time_millis_testing: 20.838, usercpu_time_millis_training: 1185.501,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs