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: 0.6987, f_measure: 0.7578, kappa: 0.0109, kb_relative_information_score: -1701.3557, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8242, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9518, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9658, scimark_benchmark: 1730.1903, usercpu_time_millis: 100.631, usercpu_time_millis_testing: 5.01, usercpu_time_millis_training: 95.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7551, kb_relative_information_score: -11.359, 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: 1729.728, usercpu_time_millis: 11.151, usercpu_time_millis_testing: 1.35, usercpu_time_millis_training: 9.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.7701, kappa: 0.0628, kb_relative_information_score: -2562.2407, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7998, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9279, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.962, scimark_benchmark: 1734.7321, usercpu_time_millis: 390.11, usercpu_time_millis_testing: 5.546, usercpu_time_millis_training: 384.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.7551, kb_relative_information_score: -2397.0371, mean_absolute_error: 0.2689, 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: 0.9599, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.364, root_relative_squared_error: 0.9726, scimark_benchmark: 1735.1328, usercpu_time_millis: 169.891, usercpu_time_millis_testing: 11.594, usercpu_time_millis_training: 158.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6836, f_measure: 0.7583, kappa: 0.013, kb_relative_information_score: -2545.6935, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9687, scimark_benchmark: 1731.5618, usercpu_time_millis: 14.182, usercpu_time_millis_testing: 0.513, usercpu_time_millis_training: 13.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6559, f_measure: 0.7551, kb_relative_information_score: -3597.1653, mean_absolute_error: 0.2722, 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: 0.9716, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9826, scimark_benchmark: 1831.1873, usercpu_time_millis: 31.718, usercpu_time_millis_testing: 3.034, usercpu_time_millis_training: 28.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6673, f_measure: 0.7551, kb_relative_information_score: -1716.2256, mean_absolute_error: 0.2745, 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: 0.9798, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9838, scimark_benchmark: 1717.8888, usercpu_time_millis: 28.625, usercpu_time_millis_testing: 2.105, usercpu_time_millis_training: 26.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -14.5811, 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: 1718.3123, usercpu_time_millis: 11.154, usercpu_time_millis_testing: 1.346, usercpu_time_millis_training: 9.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, f_measure: 0.7608, kappa: 0.0234, kb_relative_information_score: -2375.1265, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7999, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9337, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9641, scimark_benchmark: 1732.4384, usercpu_time_millis: 394.491, usercpu_time_millis_testing: 9.184, usercpu_time_millis_training: 385.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -1942.0592, mean_absolute_error: 0.2682, 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: 0.9574, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.9688, scimark_benchmark: 1833.8155, usercpu_time_millis: 230.648, usercpu_time_millis_testing: 18.007, usercpu_time_millis_training: 212.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, f_measure: 0.7551, kb_relative_information_score: -2411.3477, 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: 0.3646, root_relative_squared_error: 0.9744, scimark_benchmark: 1747.1212, usercpu_time_millis: 187.67, usercpu_time_millis_testing: 10.636, usercpu_time_millis_training: 177.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.7554, kappa: 0.0013, kb_relative_information_score: -1785.4948, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8039, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9673, scimark_benchmark: 1737.8652, usercpu_time_millis: 144.889, usercpu_time_millis_testing: 8.151, usercpu_time_millis_training: 136.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -15.456, 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: 1747.1807, usercpu_time_millis: 83.707, usercpu_time_millis_testing: 6.659, usercpu_time_millis_training: 77.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6202, f_measure: 0.7551, kb_relative_information_score: -2298.1266, 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: 0.3702, root_relative_squared_error: 0.9893, scimark_benchmark: 1830.1044, usercpu_time_millis: 77.194, usercpu_time_millis_testing: 5.542, usercpu_time_millis_training: 71.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.7585, kappa: 0.0141, kb_relative_information_score: -2132.8514, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8154, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9626, scimark_benchmark: 1848.388, usercpu_time_millis: 72.857, usercpu_time_millis_testing: 1.845, usercpu_time_millis_training: 71.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6883, f_measure: 0.7736, kappa: 0.0781, kb_relative_information_score: -3529.0278, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7952, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9645, scimark_benchmark: 2096.4002, usercpu_time_millis: 65.616, usercpu_time_millis_testing: 2.824, usercpu_time_millis_training: 62.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, f_measure: 0.7584, kappa: 0.0134, kb_relative_information_score: -1770.0992, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8227, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9655, scimark_benchmark: 1805.518, usercpu_time_millis: 53.727, usercpu_time_millis_testing: 2.54, usercpu_time_millis_training: 51.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: 1.8753, 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: 1744.4085, usercpu_time_millis: 47.296, usercpu_time_millis_testing: 8.172, usercpu_time_millis_training: 39.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.7551, kb_relative_information_score: -2062.6861, mean_absolute_error: 0.2758, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.988, scimark_benchmark: 1851.3688, usercpu_time_millis: 36.439, usercpu_time_millis_testing: 2.491, usercpu_time_millis_training: 33.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7551, kb_relative_information_score: -1954.2773, mean_absolute_error: 0.2685, 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: 0.9585, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.9701, scimark_benchmark: 1736.4936, usercpu_time_millis: 27.357, usercpu_time_millis_testing: 1.364, usercpu_time_millis_training: 25.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.7551, kb_relative_information_score: -2024.9585, mean_absolute_error: 0.2701, 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: 0.9644, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.9738, scimark_benchmark: 1739.1633, usercpu_time_millis: 26.473, usercpu_time_millis_testing: 1.081, usercpu_time_millis_training: 25.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, f_measure: 0.7601, kappa: 0.0206, kb_relative_information_score: -2499.4318, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7943, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9342, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 1798.4257, usercpu_time_millis: 415.232, usercpu_time_millis_testing: 4.927, usercpu_time_millis_training: 410.305,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6762, f_measure: 0.7551, kb_relative_information_score: -1915.9821, mean_absolute_error: 0.2724, 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: 0.9726, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.979, scimark_benchmark: 1761.3067, usercpu_time_millis: 142.05, usercpu_time_millis_testing: 10.089, usercpu_time_millis_training: 131.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.7597, kappa: 0.0188, kb_relative_information_score: -2323.1605, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8083, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.936, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9634, scimark_benchmark: 1857.184, usercpu_time_millis: 124.851, usercpu_time_millis_testing: 3.33, usercpu_time_millis_training: 121.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.7551, kb_relative_information_score: -3043.7217, mean_absolute_error: 0.2688, 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: 0.9596, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.9755, scimark_benchmark: 1838.9033, usercpu_time_millis: 127.344, usercpu_time_millis_testing: 8.527, usercpu_time_millis_training: 118.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.7597, kappa: 0.0187, kb_relative_information_score: -2619.1338, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8098, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9687, scimark_benchmark: 1765.6801, usercpu_time_millis: 117.479, usercpu_time_millis_testing: 4.335, usercpu_time_millis_training: 113.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.773, kappa: 0.0754, kb_relative_information_score: -3014.7115, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7967, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9644, scimark_benchmark: 1738.6344, usercpu_time_millis: 99.866, usercpu_time_millis_testing: 1.215, usercpu_time_millis_training: 98.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6624, f_measure: 0.7551, kb_relative_information_score: -2659.5884, 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: 0.9761, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9826, scimark_benchmark: 1853.454, usercpu_time_millis: 76.056, usercpu_time_millis_testing: 6.383, usercpu_time_millis_training: 69.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.7561, kappa: 0.0039, kb_relative_information_score: -1797.9142, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8163, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9675, scimark_benchmark: 1822.3208, usercpu_time_millis: 37.763, usercpu_time_millis_testing: 1.459, usercpu_time_millis_training: 36.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7551, kb_relative_information_score: -12.4982, 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: 1802.8911, usercpu_time_millis: 10.89, usercpu_time_millis_testing: 1.367, usercpu_time_millis_training: 9.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, f_measure: 0.7582, kappa: 0.0127, kb_relative_information_score: -2543.1672, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7754, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9348, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9664, scimark_benchmark: 1818.4627, usercpu_time_millis: 1129.401, usercpu_time_millis_testing: 15.197, usercpu_time_millis_training: 1114.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6864, f_measure: 0.7683, kappa: 0.0558, kb_relative_information_score: -2607.4994, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7802, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9677, scimark_benchmark: 1817.58, usercpu_time_millis: 1113.383, usercpu_time_millis_testing: 9.791, usercpu_time_millis_training: 1103.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.7587, kappa: 0.0147, kb_relative_information_score: -2592.4346, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7785, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.967, scimark_benchmark: 1852.9988, usercpu_time_millis: 980.611, usercpu_time_millis_testing: 18.195, usercpu_time_millis_training: 962.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, f_measure: 0.7691, kappa: 0.0583, kb_relative_information_score: -2202.3686, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8013, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9249, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9615, scimark_benchmark: 1802.8911, usercpu_time_millis: 903.518, usercpu_time_millis_testing: 12.011, usercpu_time_millis_training: 891.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7674, kappa: 0.0512, kb_relative_information_score: -2326.4337, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7974, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9619, scimark_benchmark: 1849.7595, usercpu_time_millis: 361.205, usercpu_time_millis_testing: 6.239, usercpu_time_millis_training: 354.966,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.7551, kb_relative_information_score: -1917.5515, mean_absolute_error: 0.2686, 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: 0.9588, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9704, scimark_benchmark: 1831.6587, usercpu_time_millis: 29.554, usercpu_time_millis_testing: 1.378, usercpu_time_millis_training: 28.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.7595, kappa: 0.0183, kb_relative_information_score: -2648.5422, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7729, predictive_accuracy: 0.8313, prior_entropy: 0.6541, recall: 0.8313, relative_absolute_error: 0.9362, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9675, scimark_benchmark: 1844.7928, usercpu_time_millis: 1299.044, usercpu_time_millis_testing: 34.759, usercpu_time_millis_training: 1264.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, f_measure: 0.7587, kappa: 0.0147, kb_relative_information_score: -2616.3948, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7691, predictive_accuracy: 0.8312, prior_entropy: 0.6541, recall: 0.8312, relative_absolute_error: 0.9413, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.9699, scimark_benchmark: 1724.7715, usercpu_time_millis: 1072.793, usercpu_time_millis_testing: 21.963, usercpu_time_millis_training: 1050.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6822, f_measure: 0.7555, kappa: 0.0015, kb_relative_information_score: -2557.0321, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7709, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9474, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9697, scimark_benchmark: 1853.9121, usercpu_time_millis: 317.55, usercpu_time_millis_testing: 11.911, usercpu_time_millis_training: 305.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.679, f_measure: 0.7551, kb_relative_information_score: -2685.7095, mean_absolute_error: 0.2691, 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: 0.3645, root_relative_squared_error: 0.974, scimark_benchmark: 1269.2293, usercpu_time_millis: 168.751, usercpu_time_millis_testing: 8.479, usercpu_time_millis_training: 160.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.778, kappa: 0.099, kb_relative_information_score: -4200.0255, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7867, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.939, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9742, scimark_benchmark: 1847.8629, usercpu_time_millis: 117.83, usercpu_time_millis_testing: 2.596, usercpu_time_millis_training: 115.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.7789, kappa: 0.1071, kb_relative_information_score: -4347.9746, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7757, predictive_accuracy: 0.8276, prior_entropy: 0.6541, recall: 0.8276, relative_absolute_error: 0.9331, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9846, scimark_benchmark: 2031.0135, usercpu_time_millis: 108.689, usercpu_time_millis_testing: 2.078, usercpu_time_millis_training: 106.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.7657, kappa: 0.0439, kb_relative_information_score: -2221.2503, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8012, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9307, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9611, scimark_benchmark: 1847.3406, usercpu_time_millis: 101.004, usercpu_time_millis_testing: 2.249, usercpu_time_millis_training: 98.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.758, kappa: 0.0118, kb_relative_information_score: -2397.0682, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7752, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9432, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9695, scimark_benchmark: 1955.5106, usercpu_time_millis: 42.774, usercpu_time_millis_testing: 0.662, usercpu_time_millis_training: 42.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.7561, kappa: 0.0039, kb_relative_information_score: -3034.7648, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7963, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9532, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.9733, scimark_benchmark: 1942.525, usercpu_time_millis: 25.555, usercpu_time_millis_testing: 0.777, usercpu_time_millis_training: 24.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, f_measure: 0.7565, kappa: 0.0056, kb_relative_information_score: -2036.0859, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8267, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9674, scimark_benchmark: 1844.7474, usercpu_time_millis: 175.664, usercpu_time_millis_testing: 14.848, usercpu_time_millis_training: 160.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6471, f_measure: 0.7551, kb_relative_information_score: -2105.8339, mean_absolute_error: 0.2754, 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: 0.983, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.9868, scimark_benchmark: 1830.668, usercpu_time_millis: 111.268, usercpu_time_millis_testing: 6.907, usercpu_time_millis_training: 104.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.7743, kappa: 0.081, kb_relative_information_score: -4036.9619, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7952, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9439, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9677, scimark_benchmark: 1840.7617, usercpu_time_millis: 99.419, usercpu_time_millis_testing: 1.746, usercpu_time_millis_training: 97.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -250.4433, mean_absolute_error: 0.2804, 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: 1.001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1850.0581, usercpu_time_millis: 1.131, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 1.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.769, kappa: 0.0583, kb_relative_information_score: -2385.8123, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7903, predictive_accuracy: 0.8332, prior_entropy: 0.6541, recall: 0.8332, relative_absolute_error: 0.9273, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9643, scimark_benchmark: 1727.044, usercpu_time_millis: 1848.416, usercpu_time_millis_testing: 21.057, usercpu_time_millis_training: 1827.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.7555, kappa: 0.0016, kb_relative_information_score: -2280.5017, mean_absolute_error: 0.2649, 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: 0.9455, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9661, scimark_benchmark: 1746.5197, usercpu_time_millis: 74.391, usercpu_time_millis_testing: 3.175, usercpu_time_millis_training: 71.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6719, f_measure: 0.7551, kb_relative_information_score: -2962.4697, mean_absolute_error: 0.2682, 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: 0.9573, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9745, scimark_benchmark: 1750.0817, usercpu_time_millis: 41.369, usercpu_time_millis_testing: 1.388, usercpu_time_millis_training: 39.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.7561, kappa: 0.0042, kb_relative_information_score: -2174.6668, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8022, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9397, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9635, scimark_benchmark: 1827.8718, usercpu_time_millis: 575.374, usercpu_time_millis_testing: 22.288, usercpu_time_millis_training: 553.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.7609, kappa: 0.0241, kb_relative_information_score: -2475.9225, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8032, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9651, scimark_benchmark: 1835.324, usercpu_time_millis: 231.009, usercpu_time_millis_testing: 8.384, usercpu_time_millis_training: 222.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.7736, kappa: 0.0783, kb_relative_information_score: -3025.2736, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7942, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9287, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9636, scimark_benchmark: 1837.345, usercpu_time_millis: 173.999, usercpu_time_millis_testing: 3.464, usercpu_time_millis_training: 170.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.7551, kb_relative_information_score: -1939.3937, 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: 0.3635, root_relative_squared_error: 0.9712, scimark_benchmark: 1841.5265, usercpu_time_millis: 174.6, usercpu_time_millis_testing: 14.688, usercpu_time_millis_training: 159.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.7574, kappa: 0.0095, kb_relative_information_score: -1829.2428, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8225, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9534, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9662, scimark_benchmark: 1827.3135, usercpu_time_millis: 117.795, usercpu_time_millis_testing: 8.72, usercpu_time_millis_training: 109.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.7584, kappa: 0.0135, kb_relative_information_score: -1811.6968, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8337, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9525, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9656, scimark_benchmark: 1841.8412, usercpu_time_millis: 87.867, usercpu_time_millis_testing: 5.007, usercpu_time_millis_training: 82.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6431, f_measure: 0.7551, kb_relative_information_score: -1704.5262, 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: 0.986, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9887, scimark_benchmark: 1796.189, usercpu_time_millis: 75.938, usercpu_time_millis_testing: 8.637, usercpu_time_millis_training: 67.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6406, f_measure: 0.7551, kb_relative_information_score: -2050.9938, 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: 0.9842, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.9878, scimark_benchmark: 1812.8084, usercpu_time_millis: 105.05, usercpu_time_millis_testing: 10.103, usercpu_time_millis_training: 94.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6883, f_measure: 0.7725, kappa: 0.0733, kb_relative_information_score: -2543.9898, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.796, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9651, scimark_benchmark: 1851.4874, usercpu_time_millis: 575.936, usercpu_time_millis_testing: 5.033, usercpu_time_millis_training: 570.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, f_measure: 0.7584, kappa: 0.0136, kb_relative_information_score: -2529.6078, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.785, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9675, scimark_benchmark: 1743.0114, usercpu_time_millis: 970.608, usercpu_time_millis_testing: 22.564, usercpu_time_millis_training: 948.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.7551, kb_relative_information_score: -3911.7709, 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: 0.9728, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9847, scimark_benchmark: 1795.2577, usercpu_time_millis: 96.384, usercpu_time_millis_testing: 7.231, usercpu_time_millis_training: 89.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6696, f_measure: 0.7551, kb_relative_information_score: -1761.1745, mean_absolute_error: 0.2742, 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: 0.9787, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.9829, scimark_benchmark: 1856.0123, usercpu_time_millis: 100.869, usercpu_time_millis_testing: 8.843, usercpu_time_millis_training: 92.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -70.4402, 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: 1744.666, usercpu_time_millis: 6.173, usercpu_time_millis_testing: 0.704, usercpu_time_millis_training: 5.469,

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