Task
Supervised Classification on Click_prediction_small

Supervised Classification on Click_prediction_small

Task 14971 Supervised Classification Click_prediction_small 21169 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -62.105, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1852.0126, usercpu_time_millis: 9.176, usercpu_time_millis_testing: 0.659, usercpu_time_millis_training: 8.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6733, f_measure: 0.7584, kappa: 0.0138, kb_relative_information_score: -2659.6259, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7662, predictive_accuracy: 0.831, prior_entropy: 0.6541, recall: 0.831, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9718, scimark_benchmark: 1852.4008, usercpu_time_millis: 12.041, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 11.792,
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: 0.6797, f_measure: 0.7596, kappa: 0.0184, kb_relative_information_score: -2426.7961, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8129, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9551, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9692, scimark_benchmark: 1846.2342, usercpu_time_millis: 4.702, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 4.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.7551, kb_relative_information_score: -3869.45, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9738, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.9851, scimark_benchmark: 1851.9456, usercpu_time_millis: 40.197, usercpu_time_millis_testing: 1.888, usercpu_time_millis_training: 38.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.7551, kb_relative_information_score: -1556.8604, 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: 0.3693, root_relative_squared_error: 0.9869, scimark_benchmark: 1839.7764, usercpu_time_millis: 24.275, usercpu_time_millis_testing: 1.613, usercpu_time_millis_training: 22.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6657, f_measure: 0.7551, kb_relative_information_score: -2381.4583, 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: 0.9768, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9823, scimark_benchmark: 1796.0572, usercpu_time_millis: 9.241, usercpu_time_millis_testing: 0.644, usercpu_time_millis_training: 8.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -23.7994, 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: 1823.7025, usercpu_time_millis: 28.493, usercpu_time_millis_testing: 3.57, usercpu_time_millis_training: 24.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -9.8047, 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: 1799.2518, usercpu_time_millis: 13.143, usercpu_time_millis_testing: 1.289, usercpu_time_millis_training: 11.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.7551, kb_relative_information_score: -2687.9058, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9745, scimark_benchmark: 1857.0384, usercpu_time_millis: 47.88, usercpu_time_millis_testing: 2.328, usercpu_time_millis_training: 45.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6791, f_measure: 0.7551, kb_relative_information_score: -1924.7061, 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: 0.9717, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.9782, scimark_benchmark: 1817.5802, usercpu_time_millis: 141.887, usercpu_time_millis_testing: 11.125, usercpu_time_millis_training: 130.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.7551, kb_relative_information_score: -2524.4585, mean_absolute_error: 0.2668, 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: 0.9523, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9698, scimark_benchmark: 1839.1303, usercpu_time_millis: 150.831, usercpu_time_millis_testing: 9.62, usercpu_time_millis_training: 141.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.7751, kappa: 0.0846, kb_relative_information_score: -4012.8524, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7946, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9673, scimark_benchmark: 1852.9259, usercpu_time_millis: 139.214, usercpu_time_millis_testing: 3.36, usercpu_time_millis_training: 135.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.7551, kb_relative_information_score: -1973.7356, 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: 0.9655, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9745, scimark_benchmark: 1850.4457, usercpu_time_millis: 175.571, usercpu_time_millis_testing: 16.177, usercpu_time_millis_training: 159.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.7718, kappa: 0.0702, kb_relative_information_score: -3713.6737, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7977, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9448, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9633, scimark_benchmark: 1855.4813, usercpu_time_millis: 128.914, usercpu_time_millis_testing: 6.168, usercpu_time_millis_training: 122.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6826, f_measure: 0.7551, kb_relative_information_score: -2660.5001, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9579, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.9723, scimark_benchmark: 1858.6076, usercpu_time_millis: 152.945, usercpu_time_millis_testing: 11.373, usercpu_time_millis_training: 141.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6811, f_measure: 0.7592, kappa: 0.017, kb_relative_information_score: -2770.9727, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8031, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.97, scimark_benchmark: 1840.1194, usercpu_time_millis: 168.389, usercpu_time_millis_testing: 11.304, usercpu_time_millis_training: 157.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6759, f_measure: 0.7551, kb_relative_information_score: -2638.9166, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9652, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.9762, scimark_benchmark: 1843.1261, usercpu_time_millis: 140.139, usercpu_time_millis_testing: 10.205, usercpu_time_millis_training: 129.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.7551, kb_relative_information_score: -1949.1126, 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: 0.9595, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9705, scimark_benchmark: 1796.2223, usercpu_time_millis: 123.234, usercpu_time_millis_testing: 8.513, usercpu_time_millis_training: 114.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6687, f_measure: 0.7573, kappa: 0.009, kb_relative_information_score: -3161.2589, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8018, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9553, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.9747, scimark_benchmark: 1846.1643, usercpu_time_millis: 167.248, usercpu_time_millis_testing: 7.695, usercpu_time_millis_training: 159.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.7567, kappa: 0.0063, kb_relative_information_score: -1792.1967, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8257, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9535, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9666, scimark_benchmark: 1849.408, usercpu_time_millis: 144.496, usercpu_time_millis_testing: 8.007, usercpu_time_millis_training: 136.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.7555, kappa: 0.0016, kb_relative_information_score: -2495.7058, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7638, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.9688, scimark_benchmark: 1849.6041, usercpu_time_millis: 218.286, usercpu_time_millis_testing: 9.814, usercpu_time_millis_training: 208.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.664, f_measure: 0.7551, kb_relative_information_score: -3156.0245, 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: 0.3653, root_relative_squared_error: 0.9761, scimark_benchmark: 1853.3841, usercpu_time_millis: 205.218, usercpu_time_millis_testing: 8.294, usercpu_time_millis_training: 196.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, f_measure: 0.7687, kappa: 0.0569, kb_relative_information_score: -3341.0856, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7964, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9411, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9636, scimark_benchmark: 1858.6076, usercpu_time_millis: 219.132, usercpu_time_millis_testing: 7.295, usercpu_time_millis_training: 211.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.768, kappa: 0.0537, kb_relative_information_score: -2378.8676, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7993, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9287, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.9607, scimark_benchmark: 1850.2875, usercpu_time_millis: 207.423, usercpu_time_millis_testing: 5.549, usercpu_time_millis_training: 201.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6733, f_measure: 0.7551, kb_relative_information_score: -2847.1009, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9759, scimark_benchmark: 1823.1744, usercpu_time_millis: 164.575, usercpu_time_millis_testing: 12.418, usercpu_time_millis_training: 152.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, f_measure: 0.7551, kb_relative_information_score: -1964.8543, 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: 0.9641, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.9736, scimark_benchmark: 1853.9121, usercpu_time_millis: 156.339, usercpu_time_millis_testing: 11.203, usercpu_time_millis_training: 145.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: 2.851, 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: 1843.1261, usercpu_time_millis: 43.636, usercpu_time_millis_testing: 7.519, usercpu_time_millis_training: 36.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -6.854, 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: 1832.1397, usercpu_time_millis: 41.393, usercpu_time_millis_testing: 5.915, usercpu_time_millis_training: 35.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.7551, kb_relative_information_score: -2650.3481, 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: 0.9657, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.9765, scimark_benchmark: 1846.4335, usercpu_time_millis: 57.108, usercpu_time_millis_testing: 4.057, usercpu_time_millis_training: 53.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.774, kappa: 0.0805, kb_relative_information_score: -3045.7886, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7886, predictive_accuracy: 0.8331, prior_entropy: 0.6541, recall: 0.8331, relative_absolute_error: 0.93, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9671, scimark_benchmark: 1799.2518, usercpu_time_millis: 33.598, usercpu_time_millis_testing: 1.496, usercpu_time_millis_training: 32.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6465, f_measure: 0.7776, kappa: 0.1105, kb_relative_information_score: -5683.5499, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7656, predictive_accuracy: 0.819, prior_entropy: 0.6541, recall: 0.819, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3769, root_relative_squared_error: 1.0072, scimark_benchmark: 1772.252, usercpu_time_millis: 59.168, usercpu_time_millis_testing: 0.86, usercpu_time_millis_training: 58.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6782, f_measure: 0.7551, kb_relative_information_score: -1931.7201, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9707, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.366, root_relative_squared_error: 0.9779, scimark_benchmark: 1771.3836, usercpu_time_millis: 102.186, usercpu_time_millis_testing: 7.761, usercpu_time_millis_training: 94.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.7693, kappa: 0.0592, kb_relative_information_score: -3096.8606, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.797, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9357, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9646, scimark_benchmark: 1767.2726, usercpu_time_millis: 69.639, usercpu_time_millis_testing: 1.281, usercpu_time_millis_training: 68.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, f_measure: 0.7551, kb_relative_information_score: -2051.4707, 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: 0.9841, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.9878, scimark_benchmark: 1852.4707, usercpu_time_millis: 87.575, usercpu_time_millis_testing: 9.071, usercpu_time_millis_training: 78.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -23.4898, 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: 1844.8101, usercpu_time_millis: 79.173, usercpu_time_millis_testing: 6.657, usercpu_time_millis_training: 72.516,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.7551, kb_relative_information_score: -2545.1725, mean_absolute_error: 0.2675, 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: 0.9551, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9712, scimark_benchmark: 1853.454, usercpu_time_millis: 203.557, usercpu_time_millis_testing: 11.425, usercpu_time_millis_training: 192.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6774, f_measure: 0.7767, kappa: 0.093, kb_relative_information_score: -4076.2846, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7852, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.973, scimark_benchmark: 1853.454, usercpu_time_millis: 120.473, usercpu_time_millis_testing: 1.446, usercpu_time_millis_training: 119.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6496, f_measure: 0.7551, kb_relative_information_score: -3435.0855, 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: 0.3681, root_relative_squared_error: 0.9835, scimark_benchmark: 1779.6859, usercpu_time_millis: 105.444, usercpu_time_millis_testing: 7.829, usercpu_time_millis_training: 97.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -2324.8422, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9501, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9679, scimark_benchmark: 1826.1972, usercpu_time_millis: 116.737, usercpu_time_millis_testing: 6.729, usercpu_time_millis_training: 110.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.7688, kappa: 0.0572, kb_relative_information_score: -2863.3322, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7967, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9341, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9633, scimark_benchmark: 1848.2615, usercpu_time_millis: 136.238, usercpu_time_millis_testing: 2.579, usercpu_time_millis_training: 133.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.7551, kb_relative_information_score: -1964.1221, 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: 0.9614, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9718, scimark_benchmark: 1849.3742, usercpu_time_millis: 155.57, usercpu_time_millis_testing: 13.839, usercpu_time_millis_training: 141.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.7551, kb_relative_information_score: -1951.6639, mean_absolute_error: 0.2712, 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: 0.9681, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.9761, scimark_benchmark: 1792.0754, usercpu_time_millis: 158.4, usercpu_time_millis_testing: 14.103, usercpu_time_millis_training: 144.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, f_measure: 0.7551, kb_relative_information_score: -3304.9385, 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: 0.9606, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9759, scimark_benchmark: 1850.8706, usercpu_time_millis: 156.69, usercpu_time_millis_testing: 10.505, usercpu_time_millis_training: 146.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.7551, kb_relative_information_score: -2358.5011, mean_absolute_error: 0.2666, 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: 0.9519, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9688, scimark_benchmark: 1848.8462, usercpu_time_millis: 94.052, usercpu_time_millis_testing: 4.625, usercpu_time_millis_training: 89.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -24.1961, 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: 784.7297, usercpu_time_millis: 94.323, usercpu_time_millis_testing: 8.722, usercpu_time_millis_training: 85.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6786, f_measure: 0.7768, kappa: 0.095, kb_relative_information_score: -3742.5239, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7796, predictive_accuracy: 0.8303, prior_entropy: 0.6541, recall: 0.8303, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.9735, scimark_benchmark: 1848.7762, usercpu_time_millis: 117.137, usercpu_time_millis_testing: 3.774, usercpu_time_millis_training: 113.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, f_measure: 0.7551, kb_relative_information_score: -3243.0992, mean_absolute_error: 0.2697, 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: 0.9627, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.9769, scimark_benchmark: 1857.1082, usercpu_time_millis: 131.244, usercpu_time_millis_testing: 11.087, usercpu_time_millis_training: 120.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, f_measure: 0.7551, kb_relative_information_score: -2938.4393, 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: 0.9584, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9745, scimark_benchmark: 1736.1564, usercpu_time_millis: 136.063, usercpu_time_millis_testing: 7.106, usercpu_time_millis_training: 128.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.7608, kappa: 0.0236, kb_relative_information_score: -2478.0708, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8025, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.94, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 1812.3502, usercpu_time_millis: 120.395, usercpu_time_millis_testing: 5.642, usercpu_time_millis_training: 114.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.758, kappa: 0.0119, kb_relative_information_score: -2486.5421, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7949, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9391, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1846.89, usercpu_time_millis: 125.297, usercpu_time_millis_testing: 3.085, usercpu_time_millis_training: 122.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -2449.9769, mean_absolute_error: 0.2659, 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: 0.9492, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9687, scimark_benchmark: 1821.736, usercpu_time_millis: 148.862, usercpu_time_millis_testing: 6.932, usercpu_time_millis_training: 141.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.7586, kappa: 0.0141, kb_relative_information_score: -2513.4043, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8117, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9482, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9679, scimark_benchmark: 1848.2615, usercpu_time_millis: 168.325, usercpu_time_millis_testing: 13.967, usercpu_time_millis_training: 154.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, f_measure: 0.7618, kappa: 0.0275, kb_relative_information_score: -2466.9278, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8108, predictive_accuracy: 0.8333, prior_entropy: 0.6541, recall: 0.8333, relative_absolute_error: 0.9421, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9628, scimark_benchmark: 1842.7288, usercpu_time_millis: 142.339, usercpu_time_millis_testing: 10.896, usercpu_time_millis_training: 131.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.7676, kappa: 0.0521, kb_relative_information_score: -2612.2187, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7973, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9324, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9623, scimark_benchmark: 1835.6055, usercpu_time_millis: 148.005, usercpu_time_millis_testing: 3.436, usercpu_time_millis_training: 144.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.7551, kb_relative_information_score: -1953.8528, mean_absolute_error: 0.2712, 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: 0.9681, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.9761, scimark_benchmark: 1814.6055, usercpu_time_millis: 148.434, usercpu_time_millis_testing: 14.263, usercpu_time_millis_training: 134.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, f_measure: 0.7551, kb_relative_information_score: -1902.1419, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9731, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9793, scimark_benchmark: 1848.2539, usercpu_time_millis: 167.657, usercpu_time_millis_testing: 14.16, usercpu_time_millis_training: 153.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.7644, kappa: 0.0384, kb_relative_information_score: -2418.6449, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8058, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9389, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9613, scimark_benchmark: 2031.3065, usercpu_time_millis: 144.757, usercpu_time_millis_testing: 9.205, usercpu_time_millis_training: 135.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6495, f_measure: 0.7551, kb_relative_information_score: -3434.6096, 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: 0.3681, root_relative_squared_error: 0.9835, scimark_benchmark: 1776.6746, usercpu_time_millis: 92.169, usercpu_time_millis_testing: 6.717, usercpu_time_millis_training: 85.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6625, f_measure: 0.7551, kb_relative_information_score: -3158.5303, 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: 0.3674, root_relative_squared_error: 0.9817, scimark_benchmark: 1845.9141, usercpu_time_millis: 124.735, usercpu_time_millis_testing: 9.219, usercpu_time_millis_training: 115.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.7588, kappa: 0.015, kb_relative_information_score: -1799.5319, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.829, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9518, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9655, scimark_benchmark: 1854.0399, usercpu_time_millis: 71.555, usercpu_time_millis_testing: 4.454, usercpu_time_millis_training: 67.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, f_measure: 0.7551, kb_relative_information_score: -1937.9204, mean_absolute_error: 0.2716, 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: 0.9696, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.977, scimark_benchmark: 1853.454, usercpu_time_millis: 96.972, usercpu_time_millis_testing: 9.546, usercpu_time_millis_training: 87.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.7711, kappa: 0.0668, kb_relative_information_score: -3860.5917, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7997, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9469, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9638, scimark_benchmark: 1790.2842, usercpu_time_millis: 82.446, usercpu_time_millis_testing: 3.615, usercpu_time_millis_training: 78.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6699, f_measure: 0.7551, kb_relative_information_score: -2818.9311, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.9763, scimark_benchmark: 1835.1963, usercpu_time_millis: 202.226, usercpu_time_millis_testing: 11.648, usercpu_time_millis_training: 190.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6791, f_measure: 0.7556, kappa: 0.0021, kb_relative_information_score: -2885.4264, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7907, 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: 0.3637, root_relative_squared_error: 0.9717, scimark_benchmark: 1857.5664, usercpu_time_millis: 165.749, usercpu_time_millis_testing: 11.092, usercpu_time_millis_training: 154.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.7551, kb_relative_information_score: -2636.8758, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9528, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9709, scimark_benchmark: 1803.3623, usercpu_time_millis: 169.999, usercpu_time_millis_testing: 8.937, usercpu_time_millis_training: 161.062,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs