Task
Supervised Classification on kropt

Supervised Classification on kropt

Task 2076 Supervised Classification kropt 1152 runs submitted
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  • at2 study_1 study_41 study_7 study_70 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.6071, kappa: 0.562, kb_relative_information_score: 17250.4606, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6073, predictive_accuracy: 0.6086, prior_entropy: 3.5053, recall: 0.6086, relative_absolute_error: 0.5466, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.7765, scimark_benchmark: 1786.6434, usercpu_time_millis: 5330, usercpu_time_millis_testing: 2050, usercpu_time_millis_training: 3280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.332, kappa: 0.2749, kb_relative_information_score: 8822.3049, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.3341, predictive_accuracy: 0.3606, prior_entropy: 3.5053, recall: 0.3606, relative_absolute_error: 0.8709, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.924, scimark_benchmark: 1757.8395, usercpu_time_millis: 620, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.561, kappa: 0.5117, kb_relative_information_score: 15812.2703, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5632, predictive_accuracy: 0.5647, prior_entropy: 3.5053, recall: 0.5647, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.8301, scimark_benchmark: 1729.6934, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6045, f_measure: 0.0896, kappa: 0.0532, kb_relative_information_score: 2375.5083, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.0618, predictive_accuracy: 0.1916, prior_entropy: 3.5053, recall: 0.1916, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.9915, scimark_benchmark: 1820.5325, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.6353, kappa: 0.5936, kb_relative_information_score: 16398.2636, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6369, predictive_accuracy: 0.6373, prior_entropy: 3.5053, recall: 0.6373, relative_absolute_error: 0.6485, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.7651, scimark_benchmark: 1853.2586, usercpu_time_millis: 460, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.6621, kappa: 0.6243, kb_relative_information_score: 18517.9978, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6619, predictive_accuracy: 0.6641, prior_entropy: 3.5053, recall: 0.6641, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.8187, scimark_benchmark: 1849.8061, usercpu_time_millis: 16340, usercpu_time_millis_testing: 3330, usercpu_time_millis_training: 13010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.644, kappa: 0.6032, kb_relative_information_score: 17063.9576, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6475, predictive_accuracy: 0.6459, prior_entropy: 3.5053, recall: 0.6459, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.7454, scimark_benchmark: 1501.9977, usercpu_time_millis: 1710, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 1420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.7525, kappa: 0.7218, kb_relative_information_score: 20499.8282, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.7571, predictive_accuracy: 0.7501, prior_entropy: 3.5053, recall: 0.7501, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.634, scimark_benchmark: 1747.3388, usercpu_time_millis: 6457680, usercpu_time_millis_testing: 4827900, usercpu_time_millis_training: 1629780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.6621, kappa: 0.6243, kb_relative_information_score: 18517.9978, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6619, predictive_accuracy: 0.6641, prior_entropy: 3.5053, recall: 0.6641, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.8187, scimark_benchmark: 1863.4598, usercpu_time_millis: 15950, usercpu_time_millis_testing: 3300, usercpu_time_millis_training: 12650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.6621, kappa: 0.6243, kb_relative_information_score: 18517.9978, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6619, predictive_accuracy: 0.6641, prior_entropy: 3.5053, recall: 0.6641, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.8187, scimark_benchmark: 1853.296, usercpu_time_millis: 15710, usercpu_time_millis_testing: 3290, usercpu_time_millis_training: 12420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.7444, kappa: 0.7151, kb_relative_information_score: 21150.268, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.744, predictive_accuracy: 0.7449, prior_entropy: 3.5053, recall: 0.7449, relative_absolute_error: 0.312, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.6721, scimark_benchmark: 1836.2901, usercpu_time_millis: 13650, usercpu_time_millis_testing: 1870, usercpu_time_millis_training: 11780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.6796, kappa: 0.6433, kb_relative_information_score: 15819.1928, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6864, predictive_accuracy: 0.6822, prior_entropy: 3.5053, recall: 0.6822, relative_absolute_error: 0.69, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.171, root_relative_squared_error: 0.7667, scimark_benchmark: 1765.2979, usercpu_time_millis: 2100, usercpu_time_millis_testing: 1320, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.7334, kappa: 0.7023, kb_relative_information_score: 20642.1358, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.7339, predictive_accuracy: 0.7336, prior_entropy: 3.5053, recall: 0.7336, relative_absolute_error: 0.3034, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.7241, scimark_benchmark: 1697.7735, usercpu_time_millis: 7109090, usercpu_time_millis_testing: 2900, usercpu_time_millis_training: 7106190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.6561, kappa: 0.6166, kb_relative_information_score: 16977.6768, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6575, predictive_accuracy: 0.6578, prior_entropy: 3.5053, recall: 0.6578, relative_absolute_error: 0.6215, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.167, root_relative_squared_error: 0.7486, scimark_benchmark: 1461.8598, usercpu_time_millis: 740, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.0453, kb_relative_information_score: 1.3353, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.0263, predictive_accuracy: 0.1623, prior_entropy: 3.5053, recall: 0.1623, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2231, root_relative_squared_error: 1, scimark_benchmark: 1508.358, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.2919, kappa: 0.224, kb_relative_information_score: 7667.6768, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.291, predictive_accuracy: 0.3143, prior_entropy: 3.5053, recall: 0.3143, relative_absolute_error: 0.8897, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.945, scimark_benchmark: 1484.6093, usercpu_time_millis: 10500, usercpu_time_millis_testing: 730, usercpu_time_millis_training: 9770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6045, f_measure: 0.0896, kappa: 0.0532, kb_relative_information_score: 2375.5083, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.0618, predictive_accuracy: 0.1916, prior_entropy: 3.5053, recall: 0.1916, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.9915, scimark_benchmark: 1501.23, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.6381, kappa: 0.5995, kb_relative_information_score: 14962.3866, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6492, predictive_accuracy: 0.644, prior_entropy: 3.5053, recall: 0.644, relative_absolute_error: 0.693, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.7764, scimark_benchmark: 1651.6824, usercpu_time_millis: 8520, usercpu_time_millis_testing: 6370, usercpu_time_millis_training: 2150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.5617, kappa: 0.5125, kb_relative_information_score: 13022.2967, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5642, predictive_accuracy: 0.5655, prior_entropy: 3.5053, recall: 0.5655, relative_absolute_error: 0.6869, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.184, root_relative_squared_error: 0.825, scimark_benchmark: 1484.5573, usercpu_time_millis: 1360, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 1160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.5042, kappa: 0.4464, kb_relative_information_score: 14562.7941, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5049, predictive_accuracy: 0.505, prior_entropy: 3.5053, recall: 0.505, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.9086, scimark_benchmark: 1544.161, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.5885, kappa: 0.5401, kb_relative_information_score: 16410.0076, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5899, predictive_accuracy: 0.5893, prior_entropy: 3.5053, recall: 0.5893, relative_absolute_error: 0.483, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.8707, scimark_benchmark: 1496.4659, usercpu_time_millis: 2350, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 1810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5596, f_measure: 0.1587, kappa: 0.1195, kb_relative_information_score: 4718.0317, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.121, predictive_accuracy: 0.248, prior_entropy: 3.5053, recall: 0.248, relative_absolute_error: 0.8396, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2891, root_relative_squared_error: 1.2959, scimark_benchmark: 1425.0994, usercpu_time_millis: 130, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.37, kappa: 0.2975, kb_relative_information_score: 8899.2172, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5743, predictive_accuracy: 0.3896, prior_entropy: 3.5053, recall: 0.3896, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.911, scimark_benchmark: 1382.8018, usercpu_time_millis: 105260, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 105070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.726, kappa: 0.6954, kb_relative_information_score: 15785.9013, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.731, predictive_accuracy: 0.7286, prior_entropy: 3.5053, recall: 0.7286, relative_absolute_error: 0.6973, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.7654, scimark_benchmark: 1449.4657, usercpu_time_millis: 63210, usercpu_time_millis_testing: 30930, usercpu_time_millis_training: 32280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.332, kappa: 0.2749, kb_relative_information_score: 8822.3049, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.3341, predictive_accuracy: 0.3606, prior_entropy: 3.5053, recall: 0.3606, relative_absolute_error: 0.8709, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.924, scimark_benchmark: 1504.3081, usercpu_time_millis: 590, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6564, f_measure: 0.1185, kappa: 0.0864, kb_relative_information_score: 2428.685, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.0828, predictive_accuracy: 0.2205, prior_entropy: 3.5053, recall: 0.2205, relative_absolute_error: 0.9814, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.9866, scimark_benchmark: 1588.9234, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.7242, kappa: 0.6921, kb_relative_information_score: 20381.8508, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.7248, predictive_accuracy: 0.7246, prior_entropy: 3.5053, recall: 0.7246, relative_absolute_error: 0.4075, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.6712, scimark_benchmark: 1519.8085, usercpu_time_millis: 7489360, usercpu_time_millis_testing: 2760, usercpu_time_millis_training: 7486600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, f_measure: 0.2566, kappa: 0.2126, kb_relative_information_score: 6957.6536, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.288, predictive_accuracy: 0.3137, prior_entropy: 3.5053, recall: 0.3137, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.948, scimark_benchmark: 1550.8593, usercpu_time_millis: 30530, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 30450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.7242, kappa: 0.6921, kb_relative_information_score: 20381.8508, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.7248, predictive_accuracy: 0.7246, prior_entropy: 3.5053, recall: 0.7246, relative_absolute_error: 0.4075, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.6712, scimark_benchmark: 1415.933, usercpu_time_millis: 7286640, usercpu_time_millis_testing: 2840, usercpu_time_millis_training: 7283800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.5957, kappa: 0.5501, kb_relative_information_score: 16058.1317, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6009, predictive_accuracy: 0.5994, prior_entropy: 3.5053, recall: 0.5994, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.806, scimark_benchmark: 1509.4931, usercpu_time_millis: 30690, usercpu_time_millis_testing: 5030, usercpu_time_millis_training: 25660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.5113, kappa: 0.4512, kb_relative_information_score: 5517.9054, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.518, predictive_accuracy: 0.509, prior_entropy: 3.5053, recall: 0.509, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.949, scimark_benchmark: 1444.3188, usercpu_time_millis: 12970, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 12480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.5232, kappa: 0.4734, kb_relative_information_score: 12746.3231, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.534, predictive_accuracy: 0.5328, prior_entropy: 3.5053, recall: 0.5328, relative_absolute_error: 0.7774, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.8437, scimark_benchmark: 1471.2166, usercpu_time_millis: 190, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.2919, kappa: 0.224, kb_relative_information_score: 7667.6768, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.291, predictive_accuracy: 0.3143, prior_entropy: 3.5053, recall: 0.3143, relative_absolute_error: 0.8897, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.945, scimark_benchmark: 1456.476, usercpu_time_millis: 10220, usercpu_time_millis_testing: 720, usercpu_time_millis_training: 9500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6045, f_measure: 0.0896, kappa: 0.0532, kb_relative_information_score: 2375.5083, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.0618, predictive_accuracy: 0.1916, prior_entropy: 3.5053, recall: 0.1916, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.9915, scimark_benchmark: 1460.4878, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.6381, kappa: 0.5995, kb_relative_information_score: 14962.3866, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6492, predictive_accuracy: 0.644, prior_entropy: 3.5053, recall: 0.644, relative_absolute_error: 0.693, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.7764, scimark_benchmark: 1538.3553, usercpu_time_millis: 9000, usercpu_time_millis_testing: 6500, usercpu_time_millis_training: 2500,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6496, f_measure: 0.1201, kappa: 0.071, kb_relative_information_score: 2440.9515, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.0898, predictive_accuracy: 0.2094, prior_entropy: 3.5053, recall: 0.2094, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.9875, scimark_benchmark: 1452.8314, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.5926, kappa: 0.5449, kb_relative_information_score: 16792.6024, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5945, predictive_accuracy: 0.5938, prior_entropy: 3.5053, recall: 0.5938, relative_absolute_error: 0.5798, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.7843, scimark_benchmark: 1520.2954, usercpu_time_millis: 1580, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.581, kappa: 0.5335, kb_relative_information_score: 16362.8422, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.581, predictive_accuracy: 0.5838, prior_entropy: 3.5053, recall: 0.5838, relative_absolute_error: 0.6058, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.7852, scimark_benchmark: 1615.0028, usercpu_time_millis: 810, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.5596, kappa: 0.5113, kb_relative_information_score: 4087.3186, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5602, predictive_accuracy: 0.5641, prior_entropy: 3.5053, recall: 0.5641, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.9649, scimark_benchmark: 1482.529, usercpu_time_millis: 1290, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 1150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.6099, kappa: 0.5644, kb_relative_information_score: 11622.0577, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6113, predictive_accuracy: 0.611, prior_entropy: 3.5053, recall: 0.611, relative_absolute_error: 0.7826, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.8297, scimark_benchmark: 1523.7924, usercpu_time_millis: 2090, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 1660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6045, f_measure: 0.0896, kappa: 0.0532, kb_relative_information_score: 2375.5083, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.0618, predictive_accuracy: 0.1916, prior_entropy: 3.5053, recall: 0.1916, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.9915, scimark_benchmark: 1638.8155, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.5424, kappa: 0.4895, kb_relative_information_score: 15812.7268, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5438, predictive_accuracy: 0.5441, prior_entropy: 3.5053, recall: 0.5441, relative_absolute_error: 0.589, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.8449, scimark_benchmark: 1435.8202, usercpu_time_millis: 12430, usercpu_time_millis_testing: 1100, usercpu_time_millis_training: 11330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.7097, kappa: 0.6759, kb_relative_information_score: 19845.9328, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.7099, predictive_accuracy: 0.7097, prior_entropy: 3.5053, recall: 0.7097, relative_absolute_error: 0.3378, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.17, root_relative_squared_error: 0.7622, scimark_benchmark: 1468.6911, usercpu_time_millis: 745100, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 744860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.332, kappa: 0.2749, kb_relative_information_score: 8822.3049, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.3341, predictive_accuracy: 0.3606, prior_entropy: 3.5053, recall: 0.3606, relative_absolute_error: 0.8709, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.924, scimark_benchmark: 1512.3661, usercpu_time_millis: 280, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.332, kappa: 0.2749, kb_relative_information_score: 8822.3049, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.3341, predictive_accuracy: 0.3606, prior_entropy: 3.5053, recall: 0.3606, relative_absolute_error: 0.8709, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.924, scimark_benchmark: 1498.5978, usercpu_time_millis: 320, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.37, kappa: 0.2975, kb_relative_information_score: 8899.2172, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5743, predictive_accuracy: 0.3896, prior_entropy: 3.5053, recall: 0.3896, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.911, scimark_benchmark: 1544.3212, usercpu_time_millis: 81200, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 81050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6045, f_measure: 0.0896, kappa: 0.0532, kb_relative_information_score: 2375.5083, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.0618, predictive_accuracy: 0.1916, prior_entropy: 3.5053, recall: 0.1916, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.9915, scimark_benchmark: 1504.8707, usercpu_time_millis: 150, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.332, kappa: 0.2749, kb_relative_information_score: 8822.3049, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.3341, predictive_accuracy: 0.3606, prior_entropy: 3.5053, recall: 0.3606, relative_absolute_error: 0.8709, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.924, scimark_benchmark: 1398.7622, usercpu_time_millis: 780, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.81, f_measure: 0.5016, kappa: 0.4439, kb_relative_information_score: 14462.2517, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.502, predictive_accuracy: 0.5024, prior_entropy: 3.5053, recall: 0.5024, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.9129, scimark_benchmark: 1480.5931, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.5478, kappa: 0.4975, kb_relative_information_score: 15715.2246, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5483, predictive_accuracy: 0.5517, prior_entropy: 3.5053, recall: 0.5517, relative_absolute_error: 0.5804, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.8353, scimark_benchmark: 1484.8883, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5596, f_measure: 0.1587, kappa: 0.1195, kb_relative_information_score: 4718.0317, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.121, predictive_accuracy: 0.248, prior_entropy: 3.5053, recall: 0.248, relative_absolute_error: 0.8396, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2891, root_relative_squared_error: 1.2959, scimark_benchmark: 1554.2949, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.0453, kb_relative_information_score: 1.3353, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.0263, predictive_accuracy: 0.1623, prior_entropy: 3.5053, recall: 0.1623, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2231, root_relative_squared_error: 1, scimark_benchmark: 1491.6274, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.3882, kappa: 0.332, kb_relative_information_score: 10731.8584, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.3833, predictive_accuracy: 0.4063, prior_entropy: 3.5053, recall: 0.4063, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.8987, scimark_benchmark: 1433.8702, usercpu_time_millis: 258490, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 258350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.2685, kappa: 0.2142, kb_relative_information_score: 7029.0097, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.2806, predictive_accuracy: 0.3126, prior_entropy: 3.5053, recall: 0.3126, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.9446, scimark_benchmark: 1441.1584, usercpu_time_millis: 1510, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.395, kappa: 0.3472, kb_relative_information_score: 7748.4507, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.4405, predictive_accuracy: 0.4265, prior_entropy: 3.5053, recall: 0.4265, relative_absolute_error: 0.9084, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.926, scimark_benchmark: 1530.9426, usercpu_time_millis: 480, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.6561, kappa: 0.6166, kb_relative_information_score: 16977.6768, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6575, predictive_accuracy: 0.6578, prior_entropy: 3.5053, recall: 0.6578, relative_absolute_error: 0.6215, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.167, root_relative_squared_error: 0.7486, scimark_benchmark: 1680.5469, usercpu_time_millis: 650, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.2685, kappa: 0.2142, kb_relative_information_score: 7029.0097, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.2806, predictive_accuracy: 0.3126, prior_entropy: 3.5053, recall: 0.3126, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.9446, scimark_benchmark: 1524.0558, usercpu_time_millis: 2670, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 2500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.0453, kb_relative_information_score: 1.3353, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.0263, predictive_accuracy: 0.1623, prior_entropy: 3.5053, recall: 0.1623, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2231, root_relative_squared_error: 1, scimark_benchmark: 1475.4475, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.7434, kappa: 0.7142, kb_relative_information_score: 19406.2342, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.744, predictive_accuracy: 0.7445, prior_entropy: 3.5053, recall: 0.7445, relative_absolute_error: 0.507, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.6662, scimark_benchmark: 1578.6207, usercpu_time_millis: 70400, usercpu_time_millis_testing: 720, usercpu_time_millis_training: 69680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.7242, kappa: 0.6921, kb_relative_information_score: 20381.8508, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.7248, predictive_accuracy: 0.7246, prior_entropy: 3.5053, recall: 0.7246, relative_absolute_error: 0.4075, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.6712, scimark_benchmark: 1410.1883, usercpu_time_millis: 8233430, usercpu_time_millis_testing: 3300, usercpu_time_millis_training: 8230130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.5054, kappa: 0.4478, kb_relative_information_score: 14628.9601, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5061, predictive_accuracy: 0.506, prior_entropy: 3.5053, recall: 0.506, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.909, scimark_benchmark: 1583.2966, usercpu_time_millis: 1392860, usercpu_time_millis_testing: 1392860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.5979, kappa: 0.5518, kb_relative_information_score: 16948.1107, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.598, predictive_accuracy: 0.599, prior_entropy: 3.5053, recall: 0.599, relative_absolute_error: 0.4944, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.854, scimark_benchmark: 1412.6148, usercpu_time_millis: 3240850, usercpu_time_millis_testing: 3240850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.7334, kappa: 0.7023, kb_relative_information_score: 20642.1358, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.7339, predictive_accuracy: 0.7336, prior_entropy: 3.5053, recall: 0.7336, relative_absolute_error: 0.3034, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.7241, scimark_benchmark: 1406.4639, usercpu_time_millis: 7829680, usercpu_time_millis_testing: 3540, usercpu_time_millis_training: 7826140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, f_measure: 0.1811, kappa: 0.1466, kb_relative_information_score: 4347.9988, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.1554, predictive_accuracy: 0.2639, prior_entropy: 3.5053, recall: 0.2639, relative_absolute_error: 0.9589, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.9713, scimark_benchmark: 1416.5071, usercpu_time_millis: 309890, usercpu_time_millis_testing: 309890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7607, f_measure: 0.1819, kappa: 0.1459, kb_relative_information_score: 4348.766, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.1553, predictive_accuracy: 0.263, prior_entropy: 3.5053, recall: 0.263, relative_absolute_error: 0.9589, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.9711, scimark_benchmark: 1315.4445, usercpu_time_millis: 3885260, usercpu_time_millis_testing: 3885190, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5618, f_measure: 0.1587, kappa: 0.1195, kb_relative_information_score: 4771.7998, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.121, predictive_accuracy: 0.248, prior_entropy: 3.5053, recall: 0.248, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2884, root_relative_squared_error: 1.293, scimark_benchmark: 1551.6749, usercpu_time_millis: 170, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 130,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs