OpenML
Supervised Classification on Amazon_employee_access

Supervised Classification on Amazon_employee_access

Task 9911 Supervised Classification Amazon_employee_access 10955 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.9224, kappa: 0.2034, kb_relative_information_score: -7419.8738, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9157, predictive_accuracy: 0.9323, prior_entropy: 0.3191, recall: 0.9323, relative_absolute_error: 0.7314, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.228, root_relative_squared_error: 0.9763, scimark_benchmark: 1735.9375, usercpu_time_millis: 159.929, usercpu_time_millis_testing: 7.735, usercpu_time_millis_training: 152.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.9453, kappa: 0.4408, kb_relative_information_score: -5254.5113, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9441, predictive_accuracy: 0.9521, prior_entropy: 0.3191, recall: 0.9521, relative_absolute_error: 0.7174, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.8454, scimark_benchmark: 1740.5172, usercpu_time_millis: 141.775, usercpu_time_millis_testing: 3.928, usercpu_time_millis_training: 137.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.9179, kappa: 0.0523, kb_relative_information_score: -11742.2761, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9366, predictive_accuracy: 0.9434, prior_entropy: 0.3191, recall: 0.9434, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.8966, scimark_benchmark: 1730.591, usercpu_time_millis: 143.304, usercpu_time_millis_testing: 6.419, usercpu_time_millis_training: 136.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.9305, kappa: 0.2754, kb_relative_information_score: 253.8626, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.926, predictive_accuracy: 0.9408, prior_entropy: 0.3191, recall: 0.9408, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.9827, scimark_benchmark: 1762.1823, usercpu_time_millis: 142.876, usercpu_time_millis_testing: 5.207, usercpu_time_millis_training: 137.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.9307, kappa: 0.2775, kb_relative_information_score: -191.8745, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9262, predictive_accuracy: 0.9409, prior_entropy: 0.3191, recall: 0.9409, relative_absolute_error: 0.6265, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.9809, scimark_benchmark: 1739.397, usercpu_time_millis: 138.418, usercpu_time_millis_testing: 6.593, usercpu_time_millis_training: 131.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.9311, kappa: 0.2772, kb_relative_information_score: 592.6847, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.927, predictive_accuracy: 0.9418, prior_entropy: 0.3191, recall: 0.9418, relative_absolute_error: 0.6293, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.9384, scimark_benchmark: 1448.9666, usercpu_time_millis: 125.55, usercpu_time_millis_testing: 7.765, usercpu_time_millis_training: 117.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.9301, kappa: 0.2694, kb_relative_information_score: 180.4605, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9256, predictive_accuracy: 0.9408, prior_entropy: 0.3191, recall: 0.9408, relative_absolute_error: 0.6294, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.9584, scimark_benchmark: 1841.3494, usercpu_time_millis: 125.989, usercpu_time_millis_testing: 9.654, usercpu_time_millis_training: 116.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.9429, kappa: 0.4047, kb_relative_information_score: -5278.0344, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9425, predictive_accuracy: 0.9514, prior_entropy: 0.3191, recall: 0.9514, relative_absolute_error: 0.7279, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.8399, scimark_benchmark: 1747.6581, usercpu_time_millis: 104.291, usercpu_time_millis_testing: 3.961, usercpu_time_millis_training: 100.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.9145, kappa: 0.0358, kb_relative_information_score: -10978.4432, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9006, predictive_accuracy: 0.9375, prior_entropy: 0.3191, recall: 0.9375, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.957, scimark_benchmark: 1738.5098, usercpu_time_millis: 108.817, usercpu_time_millis_testing: 6.604, usercpu_time_millis_training: 102.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.9264, kappa: 0.1875, kb_relative_information_score: -5339.2868, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9257, predictive_accuracy: 0.9435, prior_entropy: 0.3191, recall: 0.9435, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.209, root_relative_squared_error: 0.8949, scimark_benchmark: 1737.7233, usercpu_time_millis: 102.075, usercpu_time_millis_testing: 10.422, usercpu_time_millis_training: 91.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.9372, kappa: 0.3233, kb_relative_information_score: -8957.1658, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9393, predictive_accuracy: 0.9494, prior_entropy: 0.3191, recall: 0.9494, relative_absolute_error: 0.788, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.8491, scimark_benchmark: 1885.1271, usercpu_time_millis: 93.63, usercpu_time_millis_testing: 3.051, usercpu_time_millis_training: 90.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.9166, kappa: 0.0689, kb_relative_information_score: -11384.9993, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9062, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.22, root_relative_squared_error: 0.9422, scimark_benchmark: 1881.1587, usercpu_time_millis: 94.807, usercpu_time_millis_testing: 8.896, usercpu_time_millis_training: 85.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.9145, kappa: 0.0358, kb_relative_information_score: -11990.4414, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9006, predictive_accuracy: 0.9375, prior_entropy: 0.3191, recall: 0.9375, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.9536, scimark_benchmark: 1066.248, usercpu_time_millis: 85.212, usercpu_time_millis_testing: 3.885, usercpu_time_millis_training: 81.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.9242, kappa: 0.1415, kb_relative_information_score: -9204.1025, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9338, predictive_accuracy: 0.9452, prior_entropy: 0.3191, recall: 0.9452, relative_absolute_error: 0.8311, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.8717, scimark_benchmark: 1850.4554, usercpu_time_millis: 72.742, usercpu_time_millis_testing: 4.504, usercpu_time_millis_training: 68.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.914, kb_relative_information_score: -10224.0746, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.9196, scimark_benchmark: 1850.4554, usercpu_time_millis: 48.734, usercpu_time_millis_testing: 4.146, usercpu_time_millis_training: 44.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.9371, kappa: 0.3217, kb_relative_information_score: -9671.4996, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9396, predictive_accuracy: 0.9496, prior_entropy: 0.3191, recall: 0.9496, relative_absolute_error: 0.7932, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.851, scimark_benchmark: 1812.2719, usercpu_time_millis: 47.661, usercpu_time_millis_testing: 1.392, usercpu_time_millis_training: 46.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.914, kb_relative_information_score: -55.7363, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1062.752, usercpu_time_millis: 32.728, usercpu_time_millis_testing: 2.74, usercpu_time_millis_training: 29.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.9244, kappa: 0.1895, kb_relative_information_score: -8361.4178, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9185, predictive_accuracy: 0.9387, prior_entropy: 0.3191, recall: 0.9387, relative_absolute_error: 0.7469, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.9331, scimark_benchmark: 1882.1077, usercpu_time_millis: 32.741, usercpu_time_millis_testing: 1.643, usercpu_time_millis_training: 31.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.914, kb_relative_information_score: -35.3126, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1885.4812, usercpu_time_millis: 27.716, usercpu_time_millis_testing: 3.861, usercpu_time_millis_training: 23.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.624, f_measure: 0.914, kb_relative_information_score: -4508.599, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.9972, scimark_benchmark: 1726.8297, usercpu_time_millis: 28.728, usercpu_time_millis_testing: 4.084, usercpu_time_millis_training: 24.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.914, kb_relative_information_score: -27.2144, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1741.4796, usercpu_time_millis: 9.109, usercpu_time_millis_testing: 1.163, usercpu_time_millis_training: 7.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.9142, kappa: 0.002, kb_relative_information_score: -14323.0363, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9455, predictive_accuracy: 0.9422, prior_entropy: 0.3191, recall: 0.9422, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.9722, scimark_benchmark: 738.5183, usercpu_time_millis: 291.715, usercpu_time_millis_testing: 15.809, usercpu_time_millis_training: 275.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.9174, kappa: 0.0457, kb_relative_information_score: -12257.1703, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.936, predictive_accuracy: 0.9432, prior_entropy: 0.3191, recall: 0.9432, relative_absolute_error: 0.8796, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.903, scimark_benchmark: 1843.2356, usercpu_time_millis: 411.125, usercpu_time_millis_testing: 13.588, usercpu_time_millis_training: 397.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.9373, kappa: 0.3225, kb_relative_information_score: -8685.6149, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.94, predictive_accuracy: 0.9497, prior_entropy: 0.3191, recall: 0.9497, relative_absolute_error: 0.7871, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.8495, scimark_benchmark: 738.6807, usercpu_time_millis: 350.445, usercpu_time_millis_testing: 10.054, usercpu_time_millis_training: 340.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.9239, kappa: 0.1914, kb_relative_information_score: -8364.7044, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9174, predictive_accuracy: 0.9373, prior_entropy: 0.3191, recall: 0.9373, relative_absolute_error: 0.7427, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.9412, scimark_benchmark: 1090.5135, usercpu_time_millis: 144.298, usercpu_time_millis_testing: 10.762, usercpu_time_millis_training: 133.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.9276, kappa: 0.257, kb_relative_information_score: -1795.1978, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9222, predictive_accuracy: 0.9369, prior_entropy: 0.3191, recall: 0.9369, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.9916, scimark_benchmark: 1851.9456, usercpu_time_millis: 205.025, usercpu_time_millis_testing: 10.32, usercpu_time_millis_training: 194.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.9317, kappa: 0.2669, kb_relative_information_score: -11575.498, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9299, predictive_accuracy: 0.9446, prior_entropy: 0.3191, recall: 0.9446, relative_absolute_error: 0.7841, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.8989, scimark_benchmark: 1870.2032, usercpu_time_millis: 180.414, usercpu_time_millis_testing: 3.519, usercpu_time_millis_training: 176.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.9254, kappa: 0.2328, kb_relative_information_score: -3720.3947, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9194, predictive_accuracy: 0.9352, prior_entropy: 0.3191, recall: 0.9352, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.9824, scimark_benchmark: 1840.7617, usercpu_time_millis: 209.558, usercpu_time_millis_testing: 9.406, usercpu_time_millis_training: 200.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.9297, kappa: 0.2628, kb_relative_information_score: -558.0716, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9251, predictive_accuracy: 0.9407, prior_entropy: 0.3191, recall: 0.9407, relative_absolute_error: 0.6329, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.9794, scimark_benchmark: 1844.2676, usercpu_time_millis: 190.794, usercpu_time_millis_testing: 11.224, usercpu_time_millis_training: 179.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.9269, kappa: 0.2331, kb_relative_information_score: -3664.4464, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9214, predictive_accuracy: 0.9385, prior_entropy: 0.3191, recall: 0.9385, relative_absolute_error: 0.6931, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.9303, scimark_benchmark: 1840.7014, usercpu_time_millis: 150.503, usercpu_time_millis_testing: 11.264, usercpu_time_millis_training: 139.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.914, kb_relative_information_score: -13295.0064, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.96, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.225, root_relative_squared_error: 0.9633, scimark_benchmark: 1757.5042, usercpu_time_millis: 29.576, usercpu_time_millis_testing: 2.545, usercpu_time_millis_training: 27.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.914, kb_relative_information_score: -37.0546, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 738.3058, usercpu_time_millis: 116.862, usercpu_time_millis_testing: 10.112, usercpu_time_millis_training: 106.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7421, f_measure: 0.9298, kappa: 0.2659, kb_relative_information_score: -593.6013, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9252, predictive_accuracy: 0.9406, prior_entropy: 0.3191, recall: 0.9406, relative_absolute_error: 0.6311, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.229, root_relative_squared_error: 0.9804, scimark_benchmark: 1844.9447, usercpu_time_millis: 144.513, usercpu_time_millis_testing: 6.019, usercpu_time_millis_training: 138.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.9307, kappa: 0.2772, kb_relative_information_score: 455.3452, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9263, predictive_accuracy: 0.9411, prior_entropy: 0.3191, recall: 0.9411, relative_absolute_error: 0.6235, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.9615, scimark_benchmark: 1755.1953, usercpu_time_millis: 29.071, usercpu_time_millis_testing: 1.432, usercpu_time_millis_training: 27.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6266, f_measure: 0.914, kb_relative_information_score: -9145.1702, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.9948, scimark_benchmark: 1841.8034, usercpu_time_millis: 43.31, usercpu_time_millis_testing: 2.704, usercpu_time_millis_training: 40.606,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.914, kb_relative_information_score: -153.0763, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1696.1899, usercpu_time_millis: 2.102, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 1.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.9148, kappa: 0.0382, kb_relative_information_score: -9775.1426, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9014, predictive_accuracy: 0.9378, prior_entropy: 0.3191, recall: 0.9378, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.9225, scimark_benchmark: 1740.2397, usercpu_time_millis: 101.752, usercpu_time_millis_testing: 8.227, usercpu_time_millis_training: 93.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.9172, kappa: 0.0736, kb_relative_information_score: -10107.7869, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9076, predictive_accuracy: 0.9383, prior_entropy: 0.3191, recall: 0.9383, relative_absolute_error: 0.7859, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.9231, scimark_benchmark: 1744.0118, usercpu_time_millis: 92.096, usercpu_time_millis_testing: 7.618, usercpu_time_millis_training: 84.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.914, kb_relative_information_score: -13.7314, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1741.2916, usercpu_time_millis: 14.359, usercpu_time_millis_testing: 2.097, usercpu_time_millis_training: 12.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.9166, kappa: 0.0654, kb_relative_information_score: -10408.3947, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9062, predictive_accuracy: 0.9381, prior_entropy: 0.3191, recall: 0.9381, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.9312, scimark_benchmark: 1753.6289, usercpu_time_millis: 96.843, usercpu_time_millis_testing: 6.285, usercpu_time_millis_training: 90.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7078, f_measure: 0.914, kb_relative_information_score: -15163.5729, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9779, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.23, root_relative_squared_error: 0.985, scimark_benchmark: 1940.1534, usercpu_time_millis: 103.689, usercpu_time_millis_testing: 5.267, usercpu_time_millis_training: 98.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.9157, kappa: 0.0538, kb_relative_information_score: -11118.938, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9041, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.8091, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.9305, scimark_benchmark: 1874.1622, usercpu_time_millis: 6.319, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 6.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.9375, kappa: 0.3339, kb_relative_information_score: -7670.9377, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9379, predictive_accuracy: 0.9488, prior_entropy: 0.3191, recall: 0.9488, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.8574, scimark_benchmark: 1373.4583, usercpu_time_millis: 693.098, usercpu_time_millis_testing: 17.705, usercpu_time_millis_training: 675.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.9337, kappa: 0.2744, kb_relative_information_score: -7968.6486, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9377, predictive_accuracy: 0.9483, prior_entropy: 0.3191, recall: 0.9483, relative_absolute_error: 0.7847, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.8579, scimark_benchmark: 1379.5679, usercpu_time_millis: 389.526, usercpu_time_millis_testing: 14.713, usercpu_time_millis_training: 374.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.9307, kappa: 0.2818, kb_relative_information_score: 593.3345, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9261, predictive_accuracy: 0.9404, prior_entropy: 0.3191, recall: 0.9404, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.9828, scimark_benchmark: 1428.4795, usercpu_time_millis: 265.008, usercpu_time_millis_testing: 14.107, usercpu_time_millis_training: 250.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.9216, kappa: 0.1049, kb_relative_information_score: -9815.6398, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9332, predictive_accuracy: 0.9444, prior_entropy: 0.3191, recall: 0.9444, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.8774, scimark_benchmark: 1409.5516, usercpu_time_millis: 190.798, usercpu_time_millis_testing: 9.664, usercpu_time_millis_training: 181.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.9143, kappa: 0.004, kb_relative_information_score: -14545.777, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9456, predictive_accuracy: 0.9422, prior_entropy: 0.3191, recall: 0.9422, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.228, root_relative_squared_error: 0.9762, scimark_benchmark: 1374.3241, usercpu_time_millis: 229.387, usercpu_time_millis_testing: 13.048, usercpu_time_millis_training: 216.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.9301, kappa: 0.2748, kb_relative_information_score: 293.9823, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9253, predictive_accuracy: 0.94, prior_entropy: 0.3191, recall: 0.94, relative_absolute_error: 0.6212, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.9852, scimark_benchmark: 1381.8089, usercpu_time_millis: 357.591, usercpu_time_millis_testing: 15.198, usercpu_time_millis_training: 342.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.748, f_measure: 0.914, kb_relative_information_score: -10985.698, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9779, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.9822, scimark_benchmark: 1376.712, usercpu_time_millis: 125.933, usercpu_time_millis_testing: 12.346, usercpu_time_millis_training: 113.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.9366, kappa: 0.3138, kb_relative_information_score: -9805.8612, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9394, predictive_accuracy: 0.9494, prior_entropy: 0.3191, recall: 0.9494, relative_absolute_error: 0.8083, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.8509, scimark_benchmark: 1373.3906, usercpu_time_millis: 380.175, usercpu_time_millis_testing: 18.926, usercpu_time_millis_training: 361.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.9146, kappa: 0.0338, kb_relative_information_score: -10153.0641, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9008, predictive_accuracy: 0.938, prior_entropy: 0.3191, recall: 0.938, relative_absolute_error: 0.8191, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.9259, scimark_benchmark: 1371.1186, usercpu_time_millis: 28.164, usercpu_time_millis_testing: 1.267, usercpu_time_millis_training: 26.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.9224, kappa: 0.1976, kb_relative_information_score: -7821.1195, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9155, predictive_accuracy: 0.9332, prior_entropy: 0.3191, recall: 0.9332, relative_absolute_error: 0.7326, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.9714, scimark_benchmark: 1384.3264, usercpu_time_millis: 51.145, usercpu_time_millis_testing: 2.271, usercpu_time_millis_training: 48.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.914, kb_relative_information_score: -15.2776, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1376.9247, usercpu_time_millis: 49.312, usercpu_time_millis_testing: 9.657, usercpu_time_millis_training: 39.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.9148, kappa: 0.0381, kb_relative_information_score: -11540.4759, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9014, predictive_accuracy: 0.9378, prior_entropy: 0.3191, recall: 0.9378, relative_absolute_error: 0.8014, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.9371, scimark_benchmark: 1373.1182, usercpu_time_millis: 40.391, usercpu_time_millis_testing: 1.877, usercpu_time_millis_training: 38.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.9198, kappa: 0.118, kb_relative_information_score: -9540.4621, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9121, predictive_accuracy: 0.9381, prior_entropy: 0.3191, recall: 0.9381, relative_absolute_error: 0.7633, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.9482, scimark_benchmark: 1376.3252, usercpu_time_millis: 126.366, usercpu_time_millis_testing: 4.885, usercpu_time_millis_training: 121.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.9229, kappa: 0.1219, kb_relative_information_score: -8594.8719, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9345, predictive_accuracy: 0.9449, prior_entropy: 0.3191, recall: 0.9449, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8826, scimark_benchmark: 1375.6261, usercpu_time_millis: 114.795, usercpu_time_millis_testing: 11.049, usercpu_time_millis_training: 103.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.9305, kappa: 0.274, kb_relative_information_score: -385.7173, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9262, predictive_accuracy: 0.9411, prior_entropy: 0.3191, recall: 0.9411, relative_absolute_error: 0.6308, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.9781, scimark_benchmark: 1374.4328, usercpu_time_millis: 183.451, usercpu_time_millis_testing: 7.006, usercpu_time_millis_training: 176.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -11712.1606, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9457, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.8858, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.9089, scimark_benchmark: 1373.0121, usercpu_time_millis: 254.759, usercpu_time_millis_testing: 12.919, usercpu_time_millis_training: 241.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.9304, kappa: 0.2716, kb_relative_information_score: -284.2478, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9261, predictive_accuracy: 0.9412, prior_entropy: 0.3191, recall: 0.9412, relative_absolute_error: 0.6287, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.9778, scimark_benchmark: 1378.9935, usercpu_time_millis: 166.443, usercpu_time_millis_testing: 8.394, usercpu_time_millis_training: 158.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.9251, kappa: 0.2076, kb_relative_information_score: -6842.9557, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9189, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.725, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.9359, scimark_benchmark: 1375.8954, usercpu_time_millis: 253.264, usercpu_time_millis_testing: 11.492, usercpu_time_millis_training: 241.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.9253, kappa: 0.2278, kb_relative_information_score: -3051.1166, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9192, predictive_accuracy: 0.9356, prior_entropy: 0.3191, recall: 0.9356, relative_absolute_error: 0.6699, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.9866, scimark_benchmark: 1377.2263, usercpu_time_millis: 45.521, usercpu_time_millis_testing: 2.203, usercpu_time_millis_training: 43.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.9395, kappa: 0.3523, kb_relative_information_score: -7798.4928, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9414, predictive_accuracy: 0.9507, prior_entropy: 0.3191, recall: 0.9507, relative_absolute_error: 0.7742, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.8439, scimark_benchmark: 1375.4188, usercpu_time_millis: 301.842, usercpu_time_millis_testing: 19.456, usercpu_time_millis_training: 282.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.914, kb_relative_information_score: -22.7677, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1378.2922, usercpu_time_millis: 18.485, usercpu_time_millis_testing: 2.225, usercpu_time_millis_training: 16.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8435, f_measure: 0.914, kb_relative_information_score: -11522.5096, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.868, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.9203, scimark_benchmark: 1371.0046, usercpu_time_millis: 68.222, usercpu_time_millis_testing: 7.5, usercpu_time_millis_training: 60.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.9148, kappa: 0.0099, kb_relative_information_score: -13181.9132, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9457, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9029, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.9187, scimark_benchmark: 1377.3991, usercpu_time_millis: 277.755, usercpu_time_millis_testing: 11.535, usercpu_time_millis_training: 266.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.9149, kappa: 0.0118, kb_relative_information_score: -13161.0058, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9413, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9074, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.9282, scimark_benchmark: 1373.0361, usercpu_time_millis: 359.324, usercpu_time_millis_testing: 8.529, usercpu_time_millis_training: 350.795,

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