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: 0.6894, f_measure: 0.7581, kappa: 0.0122, kb_relative_information_score: -2476.4193, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.787, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9664, scimark_benchmark: 1843.2259, usercpu_time_millis: 680.372, usercpu_time_millis_testing: 16.374, usercpu_time_millis_training: 663.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.7602, kappa: 0.0209, kb_relative_information_score: -2257.7687, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8038, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9342, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9628, scimark_benchmark: 1824.3463, usercpu_time_millis: 589.858, usercpu_time_millis_testing: 19.217, usercpu_time_millis_training: 570.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, f_measure: 0.7594, kappa: 0.0176, kb_relative_information_score: -2277.3274, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.806, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9633, scimark_benchmark: 1853.454, usercpu_time_millis: 488.247, usercpu_time_millis_testing: 16.899, usercpu_time_millis_training: 471.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6386, f_measure: 0.7551, kb_relative_information_score: -3952.0733, 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: 0.9733, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.9851, scimark_benchmark: 1827.587, usercpu_time_millis: 158.108, usercpu_time_millis_testing: 10.901, usercpu_time_millis_training: 147.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.7551, kb_relative_information_score: -2806.4757, mean_absolute_error: 0.269, 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: 0.9605, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9744, scimark_benchmark: 1830.6557, usercpu_time_millis: 70.171, usercpu_time_millis_testing: 6.029, usercpu_time_millis_training: 64.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6501, f_measure: 0.7551, kb_relative_information_score: -1817.8371, 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: 0.9847, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.9877, scimark_benchmark: 1839.1431, usercpu_time_millis: 68.969, usercpu_time_millis_testing: 5.9, usercpu_time_millis_training: 63.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6848, f_measure: 0.7736, kappa: 0.0783, kb_relative_information_score: -3825.9798, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7929, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9667, scimark_benchmark: 1853.454, usercpu_time_millis: 36.059, usercpu_time_millis_testing: 1.71, usercpu_time_millis_training: 34.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.7595, kappa: 0.018, kb_relative_information_score: -2545.9289, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7892, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9662, scimark_benchmark: 1831.0773, usercpu_time_millis: 37.909, usercpu_time_millis_testing: 0.509, usercpu_time_millis_training: 37.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -10.4317, 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: 1849.8294, usercpu_time_millis: 9.863, usercpu_time_millis_testing: 1.045, usercpu_time_millis_training: 8.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6541, f_measure: 0.7551, kb_relative_information_score: -3316.9239, mean_absolute_error: 0.2696, 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: 0.9624, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.9789, scimark_benchmark: 788.7358, usercpu_time_millis: 327.47, usercpu_time_millis_testing: 12.988, usercpu_time_millis_training: 314.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.7559, kappa: 0.0032, kb_relative_information_score: -2288.1987, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7928, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9439, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9651, scimark_benchmark: 1760.1478, usercpu_time_millis: 180.902, usercpu_time_millis_testing: 8.883, usercpu_time_millis_training: 172.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.7551, kb_relative_information_score: -2947.6945, 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: 0.3652, root_relative_squared_error: 0.9759, scimark_benchmark: 1843.1261, usercpu_time_millis: 110.537, usercpu_time_millis_testing: 7.005, usercpu_time_millis_training: 103.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6635, f_measure: 0.7551, kb_relative_information_score: -1580.7163, mean_absolute_error: 0.2753, 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: 0.9829, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.369, root_relative_squared_error: 0.986, scimark_benchmark: 790.2522, usercpu_time_millis: 102.952, usercpu_time_millis_testing: 10.281, usercpu_time_millis_training: 92.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.7668, kappa: 0.0485, kb_relative_information_score: -2266.0855, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8008, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.9604, scimark_benchmark: 1834.1671, usercpu_time_millis: 72.078, usercpu_time_millis_testing: 1.75, usercpu_time_millis_training: 70.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.7565, kappa: 0.0059, kb_relative_information_score: -2454.4301, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7902, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9448, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9677, scimark_benchmark: 1759.311, usercpu_time_millis: 72.583, usercpu_time_millis_testing: 2.577, usercpu_time_millis_training: 70.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.7615, kappa: 0.0263, kb_relative_information_score: -2669.9522, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8042, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9439, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9678, scimark_benchmark: 1832.6707, usercpu_time_millis: 61.115, usercpu_time_millis_testing: 3.105, usercpu_time_millis_training: 58.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 0.256, 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: 788.7358, usercpu_time_millis: 51.153, usercpu_time_millis_testing: 9.678, usercpu_time_millis_training: 41.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.7613, kappa: 0.0255, kb_relative_information_score: -2677.6622, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8019, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9448, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.9689, scimark_benchmark: 1760.3584, usercpu_time_millis: 53.875, usercpu_time_millis_testing: 2.521, usercpu_time_millis_training: 51.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.7561, kappa: 0.0041, kb_relative_information_score: -2313.9381, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7985, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9651, scimark_benchmark: 1825.7178, usercpu_time_millis: 48.297, usercpu_time_millis_testing: 1.93, usercpu_time_millis_training: 46.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.635, f_measure: 0.7551, kb_relative_information_score: -1769.6872, mean_absolute_error: 0.2765, 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: 0.9869, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.9895, scimark_benchmark: 788.5077, usercpu_time_millis: 31.943, usercpu_time_millis_testing: 2.659, usercpu_time_millis_training: 29.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.663, f_measure: 0.7551, kb_relative_information_score: -2157.3562, mean_absolute_error: 0.2743, 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: 0.9791, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9839, scimark_benchmark: 1732.1994, usercpu_time_millis: 21.564, usercpu_time_millis_testing: 1.351, usercpu_time_millis_training: 20.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6488, f_measure: 0.7551, kb_relative_information_score: -3594.747, mean_absolute_error: 0.2725, 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: 0.9727, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.9831, scimark_benchmark: 1725.2655, usercpu_time_millis: 11.203, usercpu_time_millis_testing: 0.455, usercpu_time_millis_training: 10.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.7579, kappa: 0.0115, kb_relative_information_score: -2495.2848, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7909, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9411, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9681, scimark_benchmark: 1808.3423, usercpu_time_millis: 361.259, usercpu_time_millis_testing: 10.59, usercpu_time_millis_training: 350.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.7616, kappa: 0.0268, kb_relative_information_score: -2639.9522, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8009, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9404, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9668, scimark_benchmark: 1852.9988, usercpu_time_millis: 218.165, usercpu_time_millis_testing: 7.001, usercpu_time_millis_training: 211.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6607, f_measure: 0.7551, kb_relative_information_score: -3071.2688, 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: 0.3676, root_relative_squared_error: 0.9823, scimark_benchmark: 1823.2957, usercpu_time_millis: 160, usercpu_time_millis_testing: 8.861, usercpu_time_millis_training: 151.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.7586, kappa: 0.0145, kb_relative_information_score: -2483.6802, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7892, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9656, scimark_benchmark: 1854.1098, usercpu_time_millis: 107.552, usercpu_time_millis_testing: 1.96, usercpu_time_millis_training: 105.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6727, f_measure: 0.7551, kb_relative_information_score: -2842.8153, 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: 0.9622, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.9756, scimark_benchmark: 1845.7061, usercpu_time_millis: 51.093, usercpu_time_millis_testing: 2.527, usercpu_time_millis_training: 48.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: 0.3242, 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: 1847.2191, usercpu_time_millis: 29.119, usercpu_time_millis_testing: 5.234, usercpu_time_millis_training: 23.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -17.3875, 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: 1855.3171, usercpu_time_millis: 17.426, usercpu_time_millis_testing: 2.634, usercpu_time_millis_training: 14.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.7551, kb_relative_information_score: -2263.7399, mean_absolute_error: 0.2736, 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: 0.9766, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9824, scimark_benchmark: 1844.8101, usercpu_time_millis: 25.24, usercpu_time_millis_testing: 2.221, usercpu_time_millis_training: 23.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -2.7472, 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: 1802.3442, usercpu_time_millis: 10.361, usercpu_time_millis_testing: 1.261, usercpu_time_millis_training: 9.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.7551, kb_relative_information_score: -1508.6083, mean_absolute_error: 0.2757, 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: 0.9844, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.9872, scimark_benchmark: 1838.2459, usercpu_time_millis: 14.579, usercpu_time_millis_testing: 1.406, usercpu_time_millis_training: 13.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6748, f_measure: 0.7552, kappa: 0.0001, kb_relative_information_score: -2986.1936, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7477, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9746, scimark_benchmark: 1833.7788, usercpu_time_millis: 13.071, usercpu_time_millis_testing: 0.864, usercpu_time_millis_training: 12.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, f_measure: 0.7589, kappa: 0.0154, kb_relative_information_score: -2424.18, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7934, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9645, scimark_benchmark: 1854.4431, usercpu_time_millis: 358.666, usercpu_time_millis_testing: 10.749, usercpu_time_millis_training: 347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.7596, kappa: 0.0186, kb_relative_information_score: -2666.755, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7692, predictive_accuracy: 0.8311, prior_entropy: 0.6541, recall: 0.8311, relative_absolute_error: 0.9325, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9672, scimark_benchmark: 1857.1082, usercpu_time_millis: 281.739, usercpu_time_millis_testing: 3.047, usercpu_time_millis_training: 278.692,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -34.1491, 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: 1837.1204, usercpu_time_millis: 23.599, usercpu_time_millis_testing: 2.181, usercpu_time_millis_training: 21.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7691, kappa: 0.0587, kb_relative_information_score: -2614.5342, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7905, predictive_accuracy: 0.8332, prior_entropy: 0.6541, recall: 0.8332, relative_absolute_error: 0.924, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9674, scimark_benchmark: 1852.9259, usercpu_time_millis: 827.422, usercpu_time_millis_testing: 6.795, usercpu_time_millis_training: 820.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.7618, kappa: 0.0275, kb_relative_information_score: -2598.8008, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7995, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9344, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9641, scimark_benchmark: 1847.3406, usercpu_time_millis: 503.325, usercpu_time_millis_testing: 9.262, usercpu_time_millis_training: 494.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.7581, kappa: 0.0123, kb_relative_information_score: -2579.6131, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7825, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9669, scimark_benchmark: 787.3466, usercpu_time_millis: 436.882, usercpu_time_millis_testing: 8.702, usercpu_time_millis_training: 428.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.7603, kappa: 0.0215, kb_relative_information_score: -2567.985, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7974, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9373, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9658, scimark_benchmark: 788.7358, usercpu_time_millis: 429.728, usercpu_time_millis_testing: 8.303, usercpu_time_millis_training: 421.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.7732, kappa: 0.0761, kb_relative_information_score: -3141.4424, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8005, predictive_accuracy: 0.835, prior_entropy: 0.6541, recall: 0.835, relative_absolute_error: 0.9317, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9635, scimark_benchmark: 787.078, usercpu_time_millis: 333.581, usercpu_time_millis_testing: 5.073, usercpu_time_millis_training: 328.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.7551, kb_relative_information_score: -2467.9483, mean_absolute_error: 0.2652, 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: 0.9468, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.9688, scimark_benchmark: 1813.2219, usercpu_time_millis: 295.856, usercpu_time_millis_testing: 12.005, usercpu_time_millis_training: 283.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.757, kappa: 0.0076, kb_relative_information_score: -2113.8766, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8213, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9583, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9669, scimark_benchmark: 1725.2907, usercpu_time_millis: 255.587, usercpu_time_millis_testing: 18.867, usercpu_time_millis_training: 236.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6848, f_measure: 0.7578, kappa: 0.0112, kb_relative_information_score: -2472.8416, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7926, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9434, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9683, scimark_benchmark: 1851.8173, usercpu_time_millis: 193.785, usercpu_time_millis_testing: 8.051, usercpu_time_millis_training: 185.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6864, f_measure: 0.7747, kappa: 0.0831, kb_relative_information_score: -3447.9267, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7939, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9664, scimark_benchmark: 1854.4951, usercpu_time_millis: 186.62, usercpu_time_millis_testing: 2.652, usercpu_time_millis_training: 183.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.7611, kappa: 0.0246, kb_relative_information_score: -2520.2154, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8024, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 1840.8272, usercpu_time_millis: 384.288, usercpu_time_millis_testing: 17.968, usercpu_time_millis_training: 366.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, f_measure: 0.7719, kappa: 0.0703, kb_relative_information_score: -3615.4007, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8007, predictive_accuracy: 0.8348, prior_entropy: 0.6541, recall: 0.8348, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9636, scimark_benchmark: 1775.3315, usercpu_time_millis: 146.026, usercpu_time_millis_testing: 4.453, usercpu_time_millis_training: 141.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6183, f_measure: 0.7551, kb_relative_information_score: -2517.5745, 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: 0.9853, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.9897, scimark_benchmark: 788.7496, usercpu_time_millis: 137.345, usercpu_time_millis_testing: 9.177, usercpu_time_millis_training: 128.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, f_measure: 0.7718, kappa: 0.0703, kb_relative_information_score: -2636.6452, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7948, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9223, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 1736.1564, usercpu_time_millis: 107.309, usercpu_time_millis_testing: 1.003, usercpu_time_millis_training: 106.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6799, f_measure: 0.7583, kappa: 0.0133, kb_relative_information_score: -2434.3885, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7732, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9698, scimark_benchmark: 1858.2223, usercpu_time_millis: 91.23, usercpu_time_millis_testing: 1.794, usercpu_time_millis_training: 89.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6428, f_measure: 0.7551, kb_relative_information_score: -1895.4729, 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: 0.3699, root_relative_squared_error: 0.9884, scimark_benchmark: 789.3389, usercpu_time_millis: 73.094, usercpu_time_millis_testing: 6.019, usercpu_time_millis_training: 67.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.677, f_measure: 0.7551, kb_relative_information_score: -1884.1626, mean_absolute_error: 0.2727, 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: 0.9733, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9794, scimark_benchmark: 1845.7527, usercpu_time_millis: 28.004, usercpu_time_millis_testing: 2.527, usercpu_time_millis_training: 25.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6409, f_measure: 0.7551, kb_relative_information_score: -2130.1091, mean_absolute_error: 0.2753, 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: 0.9828, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.987, scimark_benchmark: 1837.1965, usercpu_time_millis: 25.377, usercpu_time_millis_testing: 2.742, usercpu_time_millis_training: 22.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6963, f_measure: 0.7642, kappa: 0.0378, kb_relative_information_score: -2226.877, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.804, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9616, scimark_benchmark: 1849.7619, usercpu_time_millis: 12.88, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 12.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.758, kappa: 0.0119, kb_relative_information_score: -2466.4264, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7854, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9409, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9684, scimark_benchmark: 1733.7613, usercpu_time_millis: 713.697, usercpu_time_millis_testing: 17.168, usercpu_time_millis_training: 696.529,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6754, f_measure: 0.7551, kb_relative_information_score: -2826.6894, mean_absolute_error: 0.269, 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: 0.9602, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9746, scimark_benchmark: 1849.3014, usercpu_time_millis: 139.152, usercpu_time_millis_testing: 7.627, usercpu_time_millis_training: 131.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.7551, kb_relative_information_score: -2015.088, mean_absolute_error: 0.2705, 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: 0.9658, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9743, scimark_benchmark: 1831.5447, usercpu_time_millis: 138.184, usercpu_time_millis_testing: 17.087, usercpu_time_millis_training: 121.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6216, f_measure: 0.7551, kb_relative_information_score: -2266.6048, mean_absolute_error: 0.2759, 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: 0.9849, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.989, scimark_benchmark: 786.7164, usercpu_time_millis: 57.171, usercpu_time_millis_testing: 4.062, usercpu_time_millis_training: 53.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.7551, kb_relative_information_score: -1791.9113, mean_absolute_error: 0.2739, 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: 0.9777, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9824, scimark_benchmark: 1729.1953, usercpu_time_millis: 61.745, usercpu_time_millis_testing: 4.418, usercpu_time_millis_training: 57.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6756, f_measure: 0.7551, kb_relative_information_score: -1889.1984, 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: 0.9741, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.9799, scimark_benchmark: 1851.827, usercpu_time_millis: 54.348, usercpu_time_millis_testing: 5.317, usercpu_time_millis_training: 49.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.632, f_measure: 0.7551, kb_relative_information_score: -2097.8259, mean_absolute_error: 0.2759, 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: 0.985, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.9885, scimark_benchmark: 1850.9652, usercpu_time_millis: 33.407, usercpu_time_millis_testing: 2.188, usercpu_time_millis_training: 31.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -10.0191, mean_absolute_error: 0.28, 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: 0.9997, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 786.4762, usercpu_time_millis: 17.76, usercpu_time_millis_testing: 1.963, usercpu_time_millis_training: 15.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6304, f_measure: 0.7551, kb_relative_information_score: -2246.609, 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: 0.9835, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9881, scimark_benchmark: 1721.3501, usercpu_time_millis: 25.427, usercpu_time_millis_testing: 1.94, usercpu_time_millis_training: 23.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -12.8475, 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: 1731.5618, usercpu_time_millis: 10.159, usercpu_time_millis_testing: 1.192, usercpu_time_millis_training: 8.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -10.8748, 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: 1734.2107, usercpu_time_millis: 7.431, usercpu_time_millis_testing: 0.735, usercpu_time_millis_training: 6.696,

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