Task
Supervised Classification on spambase

Supervised Classification on spambase

Task 145979 Supervised Classification spambase 58350 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8398, kappa: 0.6635, kb_relative_information_score: 2149.2771, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8396, predictive_accuracy: 0.8403, prior_entropy: 0.9674, recall: 0.8403, relative_absolute_error: 0.5765, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.6892, scimark_benchmark: 1744.1722, usercpu_time_millis: 23.617, usercpu_time_millis_testing: 1.259, usercpu_time_millis_training: 22.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9475, kappa: 0.8898, kb_relative_information_score: 3694.068, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9476, predictive_accuracy: 0.9476, prior_entropy: 0.9674, recall: 0.9476, relative_absolute_error: 0.2168, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.426, scimark_benchmark: 1733.1731, usercpu_time_millis: 16.095, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 15.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.8935, kappa: 0.7773, kb_relative_information_score: 2760.7101, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8938, predictive_accuracy: 0.8933, prior_entropy: 0.9674, recall: 0.8933, relative_absolute_error: 0.4326, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.6121, scimark_benchmark: 1853.9121, usercpu_time_millis: 19.495, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 19.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.9147, kappa: 0.8206, kb_relative_information_score: 2955.2132, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9154, predictive_accuracy: 0.9152, prior_entropy: 0.9674, recall: 0.9152, relative_absolute_error: 0.3904, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.5692, scimark_benchmark: 1852.9259, usercpu_time_millis: 19.784, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 19.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.4573, kb_relative_information_score: 0.139, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1727.4447, usercpu_time_millis: 7.932, usercpu_time_millis_testing: 1.063, usercpu_time_millis_training: 6.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8511, kappa: 0.6874, kb_relative_information_score: 2198.2531, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.851, predictive_accuracy: 0.8516, prior_entropy: 0.9674, recall: 0.8516, relative_absolute_error: 0.5667, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.6825, scimark_benchmark: 1732.4384, usercpu_time_millis: 14.048, usercpu_time_millis_testing: 0.792, usercpu_time_millis_training: 13.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4573, kb_relative_information_score: 0.0795, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1730.5439, usercpu_time_millis: 1.469, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 1.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8138, kappa: 0.6062, kb_relative_information_score: 1672.0177, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8388, predictive_accuracy: 0.8229, prior_entropy: 0.9674, recall: 0.8229, relative_absolute_error: 0.685, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.7527, scimark_benchmark: 1748.7822, usercpu_time_millis: 2.191, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 2.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9287, kappa: 0.85, kb_relative_information_score: 3003.6412, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9295, predictive_accuracy: 0.9291, prior_entropy: 0.9674, recall: 0.9291, relative_absolute_error: 0.3891, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5332, scimark_benchmark: 1846.1591, usercpu_time_millis: 2.867, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 2.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.4573, kb_relative_information_score: 0.0384, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1846.7651, usercpu_time_millis: 3.231, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 2.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.948, kappa: 0.8909, kb_relative_information_score: 3749.7777, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.948, predictive_accuracy: 0.9481, prior_entropy: 0.9674, recall: 0.9481, relative_absolute_error: 0.2021, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.4214, scimark_benchmark: 1786.1033, usercpu_time_millis: 346.035, usercpu_time_millis_testing: 3.427, usercpu_time_millis_training: 342.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9378, kappa: 0.8693, kb_relative_information_score: 3626.4727, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9381, predictive_accuracy: 0.9381, prior_entropy: 0.9674, recall: 0.9381, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.219, root_relative_squared_error: 0.4482, scimark_benchmark: 1764.722, usercpu_time_millis: 335.128, usercpu_time_millis_testing: 3.045, usercpu_time_millis_training: 332.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.944, kappa: 0.8824, kb_relative_information_score: 3689.1078, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9441, predictive_accuracy: 0.9441, prior_entropy: 0.9674, recall: 0.9441, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4309, scimark_benchmark: 1766.9628, usercpu_time_millis: 160.63, usercpu_time_millis_testing: 2.395, usercpu_time_millis_training: 158.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9292, kappa: 0.851, kb_relative_information_score: 3442.483, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9299, predictive_accuracy: 0.9296, prior_entropy: 0.9674, recall: 0.9296, relative_absolute_error: 0.2749, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.4853, scimark_benchmark: 1765.1064, usercpu_time_millis: 152.717, usercpu_time_millis_testing: 1.724, usercpu_time_millis_training: 150.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9455, kappa: 0.8856, kb_relative_information_score: 3682.6783, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9456, predictive_accuracy: 0.9457, prior_entropy: 0.9674, recall: 0.9457, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.4265, scimark_benchmark: 1760.0785, usercpu_time_millis: 116.415, usercpu_time_millis_testing: 2.033, usercpu_time_millis_training: 114.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9378, kappa: 0.8693, kb_relative_information_score: 3620.965, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9381, predictive_accuracy: 0.9381, prior_entropy: 0.9674, recall: 0.9381, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.4469, scimark_benchmark: 1737.2734, usercpu_time_millis: 108.156, usercpu_time_millis_testing: 1.364, usercpu_time_millis_training: 106.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9305, kappa: 0.8538, kb_relative_information_score: 3308.2464, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9311, predictive_accuracy: 0.9309, prior_entropy: 0.9674, recall: 0.9309, relative_absolute_error: 0.3111, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2417, root_relative_squared_error: 0.4946, scimark_benchmark: 1815.5984, usercpu_time_millis: 96.044, usercpu_time_millis_testing: 2.419, usercpu_time_millis_training: 93.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9351, kappa: 0.8635, kb_relative_information_score: 3471.5371, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9357, predictive_accuracy: 0.9354, prior_entropy: 0.9674, recall: 0.9354, relative_absolute_error: 0.2717, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.4656, scimark_benchmark: 1768.9865, usercpu_time_millis: 91.716, usercpu_time_millis_testing: 2.477, usercpu_time_millis_training: 89.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9424, kappa: 0.8791, kb_relative_information_score: 3616.627, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9427, predictive_accuracy: 0.9426, prior_entropy: 0.9674, recall: 0.9426, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4399, scimark_benchmark: 1766.11, usercpu_time_millis: 89.248, usercpu_time_millis_testing: 2.196, usercpu_time_millis_training: 87.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.9218, kappa: 0.8352, kb_relative_information_score: 3089.0921, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9231, predictive_accuracy: 0.9224, prior_entropy: 0.9674, recall: 0.9224, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.5476, scimark_benchmark: 1710.3172, usercpu_time_millis: 94.737, usercpu_time_millis_testing: 1.87, usercpu_time_millis_training: 92.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9309, kappa: 0.8546, kb_relative_information_score: 3399.4309, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9317, predictive_accuracy: 0.9313, prior_entropy: 0.9674, recall: 0.9313, relative_absolute_error: 0.2877, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.4896, scimark_benchmark: 1783.9978, usercpu_time_millis: 69.507, usercpu_time_millis_testing: 1.657, usercpu_time_millis_training: 67.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8964, kappa: 0.7832, kb_relative_information_score: 2749.8641, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8965, predictive_accuracy: 0.8963, prior_entropy: 0.9674, recall: 0.8963, relative_absolute_error: 0.4356, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.6109, scimark_benchmark: 1720.1079, usercpu_time_millis: 56.125, usercpu_time_millis_testing: 0.708, usercpu_time_millis_training: 55.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9225, kappa: 0.837, kb_relative_information_score: 2934.9259, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9234, predictive_accuracy: 0.9231, prior_entropy: 0.9674, recall: 0.9231, relative_absolute_error: 0.4025, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.5514, scimark_benchmark: 1769.955, usercpu_time_millis: 42.036, usercpu_time_millis_testing: 1.068, usercpu_time_millis_training: 40.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9219, kappa: 0.8356, kb_relative_information_score: 3247.1629, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9227, predictive_accuracy: 0.9224, prior_entropy: 0.9674, recall: 0.9224, relative_absolute_error: 0.3239, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.252, root_relative_squared_error: 0.5158, scimark_benchmark: 1796.3335, usercpu_time_millis: 41.68, usercpu_time_millis_testing: 0.763, usercpu_time_millis_training: 40.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9221, kappa: 0.836, kb_relative_information_score: 3200.1896, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9231, predictive_accuracy: 0.9226, prior_entropy: 0.9674, recall: 0.9226, relative_absolute_error: 0.3355, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.5251, scimark_benchmark: 1734.7808, usercpu_time_millis: 31.443, usercpu_time_millis_testing: 0.672, usercpu_time_millis_training: 30.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9313, kappa: 0.8555, kb_relative_information_score: 3397.999, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9321, predictive_accuracy: 0.9318, prior_entropy: 0.9674, recall: 0.9318, relative_absolute_error: 0.2875, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.237, root_relative_squared_error: 0.485, scimark_benchmark: 1783.9978, usercpu_time_millis: 31.378, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 30.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9237, kappa: 0.8394, kb_relative_information_score: 2964.9822, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9244, predictive_accuracy: 0.9241, prior_entropy: 0.9674, recall: 0.9241, relative_absolute_error: 0.3949, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2687, root_relative_squared_error: 0.55, scimark_benchmark: 1813.6343, usercpu_time_millis: 29.729, usercpu_time_millis_testing: 1.171, usercpu_time_millis_training: 28.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.922, kappa: 0.836, kb_relative_information_score: 3002.4381, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9225, predictive_accuracy: 0.9224, prior_entropy: 0.9674, recall: 0.9224, relative_absolute_error: 0.3845, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.5511, scimark_benchmark: 1727.2167, usercpu_time_millis: 28.19, usercpu_time_millis_testing: 1.221, usercpu_time_millis_training: 26.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9265, kappa: 0.8454, kb_relative_information_score: 2766.5497, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9272, predictive_accuracy: 0.927, prior_entropy: 0.9674, recall: 0.927, relative_absolute_error: 0.4476, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.5655, scimark_benchmark: 1715.6093, usercpu_time_millis: 22.55, usercpu_time_millis_testing: 1.04, usercpu_time_millis_training: 21.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9264, kappa: 0.845, kb_relative_information_score: 2572.462, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9276, predictive_accuracy: 0.927, prior_entropy: 0.9674, recall: 0.927, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.5869, scimark_benchmark: 1709.5778, usercpu_time_millis: 19.559, usercpu_time_millis_testing: 1.632, usercpu_time_millis_training: 17.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9346, kappa: 0.8625, kb_relative_information_score: 3368.3434, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9353, predictive_accuracy: 0.935, prior_entropy: 0.9674, recall: 0.935, relative_absolute_error: 0.298, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.4783, scimark_benchmark: 1768.7086, usercpu_time_millis: 18.443, usercpu_time_millis_testing: 0.475, usercpu_time_millis_training: 17.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9499, kappa: 0.8947, kb_relative_information_score: 3543.9629, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 0.9674, recall: 0.95, relative_absolute_error: 0.2606, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.4241, scimark_benchmark: 1811.1331, usercpu_time_millis: 16.478, usercpu_time_millis_testing: 0.996, usercpu_time_millis_training: 15.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9492, kappa: 0.8933, kb_relative_information_score: 3612.6249, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9494, predictive_accuracy: 0.9494, prior_entropy: 0.9674, recall: 0.9494, relative_absolute_error: 0.2408, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4227, scimark_benchmark: 1719.3084, usercpu_time_millis: 9.481, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 9.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8118, kappa: 0.6026, kb_relative_information_score: 1965.0637, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8135, predictive_accuracy: 0.8144, prior_entropy: 0.9674, recall: 0.8144, relative_absolute_error: 0.6177, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.7148, scimark_benchmark: 1815.1646, usercpu_time_millis: 12.472, usercpu_time_millis_testing: 0.715, usercpu_time_millis_training: 11.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9325, kappa: 0.858, kb_relative_information_score: 3388.204, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9331, predictive_accuracy: 0.9328, prior_entropy: 0.9674, recall: 0.9328, relative_absolute_error: 0.291, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.239, root_relative_squared_error: 0.489, scimark_benchmark: 1733.4928, usercpu_time_millis: 7.63, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 7.372,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8899, kappa: 0.7677, kb_relative_information_score: 2126.073, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8919, predictive_accuracy: 0.8911, prior_entropy: 0.9674, recall: 0.8911, relative_absolute_error: 0.592, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.6741, scimark_benchmark: 1377.869, usercpu_time_millis: 5.711, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 5.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.9225, kappa: 0.8369, kb_relative_information_score: 3057.1303, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9235, predictive_accuracy: 0.9231, prior_entropy: 0.9674, recall: 0.9231, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.5486, scimark_benchmark: 1376.1016, usercpu_time_millis: 39.383, usercpu_time_millis_testing: 1.083, usercpu_time_millis_training: 38.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9311, kappa: 0.855, kb_relative_information_score: 3408.863, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9319, predictive_accuracy: 0.9315, prior_entropy: 0.9674, recall: 0.9315, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.4877, scimark_benchmark: 1376.8684, usercpu_time_millis: 64.434, usercpu_time_millis_testing: 1.38, usercpu_time_millis_training: 63.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9201, kappa: 0.8319, kb_relative_information_score: 3203.8401, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.921, predictive_accuracy: 0.9207, prior_entropy: 0.9674, recall: 0.9207, relative_absolute_error: 0.3333, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.5254, scimark_benchmark: 1380.2201, usercpu_time_millis: 141.418, usercpu_time_millis_testing: 1.616, usercpu_time_millis_training: 139.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.4573, kb_relative_information_score: 0.0273, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1376.4678, usercpu_time_millis: 4.549, usercpu_time_millis_testing: 1.213, usercpu_time_millis_training: 3.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.8848, kappa: 0.7603, kb_relative_information_score: 2571.8829, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8867, predictive_accuracy: 0.8842, prior_entropy: 0.9674, recall: 0.8842, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.6281, scimark_benchmark: 1380.0282, usercpu_time_millis: 28.743, usercpu_time_millis_testing: 1.122, usercpu_time_millis_training: 27.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9327, kappa: 0.8584, kb_relative_information_score: 3451.1492, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9333, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.2756, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.4754, scimark_benchmark: 1380.2073, usercpu_time_millis: 55.461, usercpu_time_millis_testing: 1.477, usercpu_time_millis_training: 53.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.4573, kb_relative_information_score: 0.131, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1373.6818, usercpu_time_millis: 1.479, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 1.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.946, kappa: 0.8869, kb_relative_information_score: 3813.3076, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.946, predictive_accuracy: 0.9461, prior_entropy: 0.9674, recall: 0.9461, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.4265, scimark_benchmark: 1374.024, usercpu_time_millis: 277.533, usercpu_time_millis_testing: 2.402, usercpu_time_millis_training: 275.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.9052, kappa: 0.8013, kb_relative_information_score: 2877.7068, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9051, predictive_accuracy: 0.9052, prior_entropy: 0.9674, recall: 0.9052, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.5841, scimark_benchmark: 1369.0781, usercpu_time_millis: 76.538, usercpu_time_millis_testing: 1.483, usercpu_time_millis_training: 75.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9519, kappa: 0.8991, kb_relative_information_score: 3803.5387, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9519, predictive_accuracy: 0.952, prior_entropy: 0.9674, recall: 0.952, relative_absolute_error: 0.1896, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4061, scimark_benchmark: 1373.4432, usercpu_time_millis: 126.522, usercpu_time_millis_testing: 2.423, usercpu_time_millis_training: 124.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9073, kappa: 0.8048, kb_relative_information_score: 3119.4445, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9079, predictive_accuracy: 0.9078, prior_entropy: 0.9674, recall: 0.9078, relative_absolute_error: 0.3464, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.5573, scimark_benchmark: 1373.5089, usercpu_time_millis: 131.906, usercpu_time_millis_testing: 1.433, usercpu_time_millis_training: 130.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9409, kappa: 0.8757, kb_relative_information_score: 3207.3446, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9412, predictive_accuracy: 0.9411, prior_entropy: 0.9674, recall: 0.9411, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.48, scimark_benchmark: 1373.7743, usercpu_time_millis: 28.142, usercpu_time_millis_testing: 1.877, usercpu_time_millis_training: 26.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9419, kappa: 0.878, kb_relative_information_score: 3452.0039, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9423, predictive_accuracy: 0.9422, prior_entropy: 0.9674, recall: 0.9422, relative_absolute_error: 0.2807, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.4511, scimark_benchmark: 1370.7408, usercpu_time_millis: 29.048, usercpu_time_millis_testing: 1.177, usercpu_time_millis_training: 27.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9229, kappa: 0.8377, kb_relative_information_score: 3151.3305, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.924, predictive_accuracy: 0.9235, prior_entropy: 0.9674, recall: 0.9235, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5351, scimark_benchmark: 1373.3447, usercpu_time_millis: 115.104, usercpu_time_millis_testing: 2.017, usercpu_time_millis_training: 113.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9364, kappa: 0.8663, kb_relative_information_score: 3347.0641, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.937, predictive_accuracy: 0.9368, prior_entropy: 0.9674, recall: 0.9368, relative_absolute_error: 0.3049, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.4764, scimark_benchmark: 1374.6074, usercpu_time_millis: 15.623, usercpu_time_millis_testing: 0.618, usercpu_time_millis_training: 15.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9404, kappa: 0.8748, kb_relative_information_score: 3637.429, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9407, predictive_accuracy: 0.9407, prior_entropy: 0.9674, recall: 0.9407, relative_absolute_error: 0.2288, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4454, scimark_benchmark: 1373.8566, usercpu_time_millis: 272.161, usercpu_time_millis_testing: 2.265, usercpu_time_millis_training: 269.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9431, kappa: 0.8805, kb_relative_information_score: 3659.8833, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9433, predictive_accuracy: 0.9433, prior_entropy: 0.9674, recall: 0.9433, relative_absolute_error: 0.2253, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.4328, scimark_benchmark: 1382.3098, usercpu_time_millis: 34.29, usercpu_time_millis_testing: 0.641, usercpu_time_millis_training: 33.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8788, kappa: 0.7483, kb_relative_information_score: 2483.6227, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8814, predictive_accuracy: 0.8781, prior_entropy: 0.9674, recall: 0.8781, relative_absolute_error: 0.4987, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6476, scimark_benchmark: 1358.4308, usercpu_time_millis: 19.691, usercpu_time_millis_testing: 0.7, usercpu_time_millis_training: 18.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9347, kappa: 0.8626, kb_relative_information_score: 3132.1588, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9352, predictive_accuracy: 0.935, prior_entropy: 0.9674, recall: 0.935, relative_absolute_error: 0.3612, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.501, scimark_benchmark: 1379.8862, usercpu_time_millis: 32.61, usercpu_time_millis_testing: 2.34, usercpu_time_millis_training: 30.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9358, kappa: 0.8652, kb_relative_information_score: 3369.3351, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9361, predictive_accuracy: 0.9361, prior_entropy: 0.9674, recall: 0.9361, relative_absolute_error: 0.2997, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.4736, scimark_benchmark: 1371.4701, usercpu_time_millis: 20.185, usercpu_time_millis_testing: 1.55, usercpu_time_millis_training: 18.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9446, kappa: 0.8836, kb_relative_information_score: 3484.8394, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9449, predictive_accuracy: 0.9448, prior_entropy: 0.9674, recall: 0.9448, relative_absolute_error: 0.2735, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.4419, scimark_benchmark: 1372.0717, usercpu_time_millis: 11.364, usercpu_time_millis_testing: 0.734, usercpu_time_millis_training: 10.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.923, kappa: 0.8381, kb_relative_information_score: 3359.1483, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9237, predictive_accuracy: 0.9235, prior_entropy: 0.9674, recall: 0.9235, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.5031, scimark_benchmark: 1371.8015, usercpu_time_millis: 16.521, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 16.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9391, kappa: 0.872, kb_relative_information_score: 3595.2834, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9395, predictive_accuracy: 0.9394, prior_entropy: 0.9674, recall: 0.9394, relative_absolute_error: 0.2402, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.449, scimark_benchmark: 1374.9618, usercpu_time_millis: 42.516, usercpu_time_millis_testing: 0.756, usercpu_time_millis_training: 41.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9281, kappa: 0.8486, kb_relative_information_score: 3439.6224, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9288, predictive_accuracy: 0.9285, prior_entropy: 0.9674, recall: 0.9285, relative_absolute_error: 0.2754, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.4861, scimark_benchmark: 1384.9389, usercpu_time_millis: 175.941, usercpu_time_millis_testing: 2.354, usercpu_time_millis_training: 173.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9457, kappa: 0.8861, kb_relative_information_score: 3707.7352, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9458, predictive_accuracy: 0.9459, prior_entropy: 0.9674, recall: 0.9459, relative_absolute_error: 0.2133, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.4246, scimark_benchmark: 1368.7807, usercpu_time_millis: 129.185, usercpu_time_millis_testing: 2.096, usercpu_time_millis_training: 127.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9296, kappa: 0.8518, kb_relative_information_score: 2890.3819, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9304, predictive_accuracy: 0.93, prior_entropy: 0.9674, recall: 0.93, relative_absolute_error: 0.4198, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2643, root_relative_squared_error: 0.5408, scimark_benchmark: 1377.8065, usercpu_time_millis: 2.908, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 2.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8377, kappa: 0.6565, kb_relative_information_score: 1633.9989, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8618, predictive_accuracy: 0.845, prior_entropy: 0.9674, recall: 0.845, relative_absolute_error: 0.6999, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7502, scimark_benchmark: 1345.5879, usercpu_time_millis: 6.581, usercpu_time_millis_testing: 0.611, usercpu_time_millis_training: 5.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8583, kappa: 0.7051, kb_relative_information_score: 2400.9872, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.86, predictive_accuracy: 0.8576, prior_entropy: 0.9674, recall: 0.8576, relative_absolute_error: 0.5169, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6656, scimark_benchmark: 1375.9654, usercpu_time_millis: 16.969, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 16.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9236, kappa: 0.8391, kb_relative_information_score: 3150.179, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9247, predictive_accuracy: 0.9241, prior_entropy: 0.9674, recall: 0.9241, relative_absolute_error: 0.3477, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.5338, scimark_benchmark: 1382.3962, usercpu_time_millis: 59.175, usercpu_time_millis_testing: 1.518, usercpu_time_millis_training: 57.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9415, kappa: 0.8771, kb_relative_information_score: 3570.4642, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9419, predictive_accuracy: 0.9418, prior_entropy: 0.9674, recall: 0.9418, relative_absolute_error: 0.2482, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.4437, scimark_benchmark: 1378.4407, usercpu_time_millis: 78.633, usercpu_time_millis_testing: 1.815, usercpu_time_millis_training: 76.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.94, kappa: 0.874, kb_relative_information_score: 3641.3589, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9402, predictive_accuracy: 0.9402, prior_entropy: 0.9674, recall: 0.9402, relative_absolute_error: 0.229, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.215, root_relative_squared_error: 0.44, scimark_benchmark: 1376.0566, usercpu_time_millis: 122.868, usercpu_time_millis_testing: 2.267, usercpu_time_millis_training: 120.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4573, kb_relative_information_score: -0.1863, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1377.0878, usercpu_time_millis: 2.876, usercpu_time_millis_testing: 0.528, usercpu_time_millis_training: 2.348,

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