OpenML
Supervised Classification on Click_prediction_small

Supervised Classification on Click_prediction_small

Task 7295 Supervised Classification Click_prediction_small 39610 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, average_cost: 16.0536, f_measure: 0.7712, kappa: 0.0675, kb_relative_information_score: -2638.0179, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7935, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1846.7627, total_cost: 641310, usercpu_time_millis: 50.693, usercpu_time_millis_testing: 0.445, usercpu_time_millis_training: 50.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, average_cost: 16.5445, f_measure: 0.7617, kappa: 0.027, kb_relative_information_score: -2628.2228, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8006, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9655, scimark_benchmark: 1853.3841, total_cost: 660920, usercpu_time_millis: 49.363, usercpu_time_millis_testing: 1.394, usercpu_time_millis_training: 47.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6456, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1069.5233, mean_absolute_error: 0.2776, 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: 0.991, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.9921, scimark_benchmark: 1857.1082, total_cost: 672800, usercpu_time_millis: 9.361, usercpu_time_millis_testing: 0.943, usercpu_time_millis_training: 8.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2.1478, 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: 1836.0408, total_cost: 672800, usercpu_time_millis: 50.106, usercpu_time_millis_testing: 8.692, usercpu_time_millis_training: 41.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -3.3211, 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: 1846.3057, total_cost: 672800, usercpu_time_millis: 51.527, usercpu_time_millis_testing: 6.196, usercpu_time_millis_training: 45.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, average_cost: 16.715, f_measure: 0.7581, kappa: 0.0121, kb_relative_information_score: -1908.4214, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8271, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9535, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1844.3569, total_cost: 667730, usercpu_time_millis: 24.646, usercpu_time_millis_testing: 1.364, usercpu_time_millis_training: 23.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6711, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2325.7398, 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: 0.9732, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.98, scimark_benchmark: 1845.3295, total_cost: 672800, usercpu_time_millis: 44.35, usercpu_time_millis_testing: 1.959, usercpu_time_millis_training: 42.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, average_cost: 16.6196, f_measure: 0.7598, kappa: 0.0195, kb_relative_information_score: -2499.9108, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7842, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9337, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9654, scimark_benchmark: 1845.8518, total_cost: 663920, usercpu_time_millis: 47.183, usercpu_time_millis_testing: 0.633, usercpu_time_millis_training: 46.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1.7194, 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: 1839.272, total_cost: 672800, usercpu_time_millis: 22.386, usercpu_time_millis_testing: 3.835, usercpu_time_millis_training: 18.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -7.6637, 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: 1839.7911, total_cost: 672800, usercpu_time_millis: 49.872, usercpu_time_millis_testing: 6.136, usercpu_time_millis_training: 43.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6184, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2460.0151, 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: 0.3703, root_relative_squared_error: 0.9896, scimark_benchmark: 1848.388, total_cost: 672800, usercpu_time_millis: 48.169, usercpu_time_millis_testing: 3.553, usercpu_time_millis_training: 44.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2.0699, 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: 1837.7149, total_cost: 672800, usercpu_time_millis: 50.087, usercpu_time_millis_testing: 8.738, usercpu_time_millis_training: 41.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, average_cost: 16.715, f_measure: 0.7581, kappa: 0.0121, kb_relative_information_score: -1831.9988, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8271, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9531, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9661, scimark_benchmark: 1847.8629, total_cost: 667730, usercpu_time_millis: 47.111, usercpu_time_millis_testing: 2.552, usercpu_time_millis_training: 44.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6486, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -3738.2237, 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: 0.3682, root_relative_squared_error: 0.9838, scimark_benchmark: 1787.9332, total_cost: 672800, usercpu_time_millis: 27.337, usercpu_time_millis_testing: 1.653, usercpu_time_millis_training: 25.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -3.7287, 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: 1855.4813, total_cost: 672800, usercpu_time_millis: 16.91, usercpu_time_millis_testing: 2.64, usercpu_time_millis_training: 14.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -10.2825, 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: 1847.8629, total_cost: 672800, usercpu_time_millis: 41.126, usercpu_time_millis_testing: 4.345, usercpu_time_millis_training: 36.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6789, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1939.3372, mean_absolute_error: 0.2721, 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: 0.9714, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.366, root_relative_squared_error: 0.9781, scimark_benchmark: 1851.4874, total_cost: 672800, usercpu_time_millis: 43.384, usercpu_time_millis_testing: 2.184, usercpu_time_millis_training: 41.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6569, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -3732.7486, mean_absolute_error: 0.2707, 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: 0.9665, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.9803, scimark_benchmark: 1846.7639, total_cost: 672800, usercpu_time_millis: 23.34, usercpu_time_millis_testing: 1.068, usercpu_time_millis_training: 22.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6666, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2906.7424, mean_absolute_error: 0.2706, 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: 0.3658, root_relative_squared_error: 0.9775, scimark_benchmark: 1842.3616, total_cost: 672800, usercpu_time_millis: 6.011, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 5.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1858.4669, 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: 0.9859, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.9891, scimark_benchmark: 1845.3975, total_cost: 672800, usercpu_time_millis: 37.164, usercpu_time_millis_testing: 4.327, usercpu_time_millis_training: 32.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, average_cost: 16.521, f_measure: 0.7621, kappa: 0.0288, kb_relative_information_score: -2800.9453, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7962, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.936, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9656, scimark_benchmark: 1814.613, total_cost: 659980, usercpu_time_millis: 24.913, usercpu_time_millis_testing: 0.53, usercpu_time_millis_training: 24.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6337, average_cost: 15.2321, f_measure: 0.7761, kappa: 0.1041, kb_relative_information_score: -6399.2077, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7631, predictive_accuracy: 0.818, prior_entropy: 0.6541, recall: 0.818, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3801, root_relative_squared_error: 1.0156, scimark_benchmark: 1847.1249, total_cost: 608490, usercpu_time_millis: 8.712, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 8.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -3854.6335, mean_absolute_error: 0.2718, 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: 0.9703, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.9827, scimark_benchmark: 1835.621, total_cost: 672800, usercpu_time_millis: 6.209, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 5.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -66.3053, 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: 1838.6751, total_cost: 672800, usercpu_time_millis: 2.294, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 2.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2362.1044, mean_absolute_error: 0.2752, 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: 0.9824, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.987, scimark_benchmark: 1840.1194, total_cost: 672800, usercpu_time_millis: 2.711, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 2.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6666, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1942.4402, 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: 0.9767, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.982, scimark_benchmark: 1842.4124, total_cost: 672800, usercpu_time_millis: 1.967, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 1.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6474, average_cost: 15.3359, f_measure: 0.7774, kappa: 0.1043, kb_relative_information_score: -5870.6614, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7684, predictive_accuracy: 0.8231, prior_entropy: 0.6541, recall: 0.8231, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3746, root_relative_squared_error: 1.0009, scimark_benchmark: 1845.2509, total_cost: 612640, usercpu_time_millis: 9.193, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 8.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -17.2709, 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: 1786.6064, total_cost: 672800, usercpu_time_millis: 7.379, usercpu_time_millis_testing: 0.853, usercpu_time_millis_training: 6.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6562, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1336.7201, 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: 0.3701, root_relative_squared_error: 0.9889, scimark_benchmark: 1852.0126, total_cost: 672800, usercpu_time_millis: 16.531, usercpu_time_millis_testing: 1.342, usercpu_time_millis_training: 15.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2317.5861, 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: 0.3671, root_relative_squared_error: 0.9808, scimark_benchmark: 1846.8916, total_cost: 672800, usercpu_time_millis: 6.219, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 5.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1447.5065, mean_absolute_error: 0.2763, 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: 0.9863, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9881, scimark_benchmark: 1847.3406, total_cost: 672800, usercpu_time_millis: 20.728, usercpu_time_millis_testing: 1.203, usercpu_time_millis_training: 19.525,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2007.1228, 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: 1840.3077, total_cost: 672800, usercpu_time_millis: 16.729, usercpu_time_millis_testing: 0.841, usercpu_time_millis_training: 15.888,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5697, average_cost: 16.7345, f_measure: 0.7576, kappa: 0.01, kb_relative_information_score: 141.799, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8071, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.9971, scimark_benchmark: 1319.4213, total_cost: 668510, usercpu_time_millis: 7044.318, usercpu_time_millis_testing: 26.177, usercpu_time_millis_training: 7018.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5503, average_cost: 16.7731, f_measure: 0.7567, kappa: 0.0064, kb_relative_information_score: -1319.217, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.803, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.996, scimark_benchmark: 1321.8402, total_cost: 670050, usercpu_time_millis: 3946.588, usercpu_time_millis_testing: 24.675, usercpu_time_millis_training: 3921.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5573, average_cost: 16.8126, f_measure: 0.7558, kappa: 0.0028, kb_relative_information_score: 72.7225, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8265, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.374, root_relative_squared_error: 0.9993, scimark_benchmark: 1331.3309, total_cost: 671630, usercpu_time_millis: 6354.217, usercpu_time_millis_testing: 12.597, usercpu_time_millis_training: 6341.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, average_cost: 16.7085, f_measure: 0.758, kappa: 0.0119, kb_relative_information_score: -791.959, mean_absolute_error: 0.2772, 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: 0.9897, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.9957, scimark_benchmark: 1315.4529, total_cost: 667470, usercpu_time_millis: 12305.921, usercpu_time_millis_testing: 53.231, usercpu_time_millis_training: 12252.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5985, average_cost: 16.748, f_measure: 0.7573, kappa: 0.0088, kb_relative_information_score: 115.8064, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8138, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9965, scimark_benchmark: 1334.725, total_cost: 669050, usercpu_time_millis: 2749.112, usercpu_time_millis_testing: 11.227, usercpu_time_millis_training: 2737.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5879, average_cost: 16.7355, f_measure: 0.7576, kappa: 0.0101, kb_relative_information_score: 116.1815, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8178, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9962, scimark_benchmark: 1338.915, total_cost: 668550, usercpu_time_millis: 4346.841, usercpu_time_millis_testing: 10.648, usercpu_time_millis_training: 4336.193,

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