Task
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 9910 Supervised Classification Bioresponse 17585 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.7859, kappa: 0.5681, kb_relative_information_score: 1509.9305, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7862, predictive_accuracy: 0.7865, prior_entropy: 0.9948, recall: 0.7865, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7838, scimark_benchmark: 1733.3606, usercpu_time_millis: 1253.745, usercpu_time_millis_testing: 1.167, usercpu_time_millis_training: 1252.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.8013, kappa: 0.5991, kb_relative_information_score: 1495.021, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8015, predictive_accuracy: 0.8017, prior_entropy: 0.9948, recall: 0.8017, relative_absolute_error: 0.6381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.7695, scimark_benchmark: 1728.0111, usercpu_time_millis: 2217.471, usercpu_time_millis_testing: 4.019, usercpu_time_millis_training: 2213.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.7844, kappa: 0.5651, kb_relative_information_score: 1331.8094, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7846, predictive_accuracy: 0.7849, prior_entropy: 0.9948, recall: 0.7849, relative_absolute_error: 0.6827, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.7933, scimark_benchmark: 1079.829, usercpu_time_millis: 670.18, usercpu_time_millis_testing: 4.378, usercpu_time_millis_training: 665.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8004, kappa: 0.5975, kb_relative_information_score: 1646.0653, mean_absolute_error: 0.2946, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8007, predictive_accuracy: 0.8009, prior_entropy: 0.9948, recall: 0.8009, relative_absolute_error: 0.5935, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.7585, scimark_benchmark: 1728.9285, usercpu_time_millis: 1584.748, usercpu_time_millis_testing: 1.207, usercpu_time_millis_training: 1583.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.7608, kappa: 0.5172, kb_relative_information_score: 1317.4962, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7626, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8158, scimark_benchmark: 1730.1903, usercpu_time_millis: 1412.751, usercpu_time_millis_testing: 1.619, usercpu_time_millis_training: 1411.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.7364, kappa: 0.4701, kb_relative_information_score: 868.5247, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7373, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8717, scimark_benchmark: 1730.8446, usercpu_time_millis: 93.263, usercpu_time_millis_testing: 0.907, usercpu_time_millis_training: 92.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.8008, kappa: 0.5984, kb_relative_information_score: 1384.5595, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8009, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.6702, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.7761, scimark_benchmark: 1730.387, usercpu_time_millis: 62.019, usercpu_time_millis_testing: 1.432, usercpu_time_millis_training: 60.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7354, kappa: 0.4662, kb_relative_information_score: 542.539, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7355, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.8852, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.907, scimark_benchmark: 1731.7016, usercpu_time_millis: 30.987, usercpu_time_millis_testing: 0.845, usercpu_time_millis_training: 30.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8041, kappa: 0.6048, kb_relative_information_score: 1695.667, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8045, predictive_accuracy: 0.8046, prior_entropy: 0.9948, recall: 0.8046, relative_absolute_error: 0.5789, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7554, scimark_benchmark: 1713.6752, usercpu_time_millis: 1161.829, usercpu_time_millis_testing: 1.2, usercpu_time_millis_training: 1160.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.1066, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1727.4447, usercpu_time_millis: 7.263, usercpu_time_millis_testing: 1.051, usercpu_time_millis_training: 6.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.0846, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1718.2275, usercpu_time_millis: 9.249, usercpu_time_millis_testing: 1.497, usercpu_time_millis_training: 7.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8055, kappa: 0.6077, kb_relative_information_score: 1410.3624, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8057, predictive_accuracy: 0.8059, prior_entropy: 0.9948, recall: 0.8059, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.7724, scimark_benchmark: 1725.7822, usercpu_time_millis: 1000.727, usercpu_time_millis_testing: 5.197, usercpu_time_millis_training: 995.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.8035, kappa: 0.6039, kb_relative_information_score: 1377.8967, mean_absolute_error: 0.3337, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8036, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.6722, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.7757, scimark_benchmark: 1837.132, usercpu_time_millis: 825.488, usercpu_time_millis_testing: 6.568, usercpu_time_millis_training: 818.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7534, kappa: 0.5032, kb_relative_information_score: 1177.6592, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7534, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.7231, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8356, scimark_benchmark: 1730.1287, usercpu_time_millis: 431.108, usercpu_time_millis_testing: 1.714, usercpu_time_millis_training: 429.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 928.9136, mean_absolute_error: 0.3929, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7915, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8776, scimark_benchmark: 1687.5652, usercpu_time_millis: 282.405, usercpu_time_millis_testing: 1.986, usercpu_time_millis_training: 280.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.805, kappa: 0.6068, kb_relative_information_score: 1401.8215, mean_absolute_error: 0.3305, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8052, predictive_accuracy: 0.8054, prior_entropy: 0.9948, recall: 0.8054, relative_absolute_error: 0.6657, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7733, scimark_benchmark: 1852.9259, usercpu_time_millis: 245.253, usercpu_time_millis_testing: 2.873, usercpu_time_millis_training: 242.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.7941, kappa: 0.5848, kb_relative_information_score: 1260.9633, mean_absolute_error: 0.3495, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7942, predictive_accuracy: 0.7945, prior_entropy: 0.9948, recall: 0.7945, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7914, scimark_benchmark: 1713.7766, usercpu_time_millis: 221.621, usercpu_time_millis_testing: 5.593, usercpu_time_millis_training: 216.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.7974, kappa: 0.5915, kb_relative_information_score: 1267.4885, mean_absolute_error: 0.3486, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7974, predictive_accuracy: 0.7977, prior_entropy: 0.9948, recall: 0.7977, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.79, scimark_benchmark: 1850.9652, usercpu_time_millis: 192.434, usercpu_time_millis_testing: 4.391, usercpu_time_millis_training: 188.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.8078, kappa: 0.6125, kb_relative_information_score: 1415.18, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8078, predictive_accuracy: 0.8081, prior_entropy: 0.9948, recall: 0.8081, relative_absolute_error: 0.6622, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.7695, scimark_benchmark: 1845.0549, usercpu_time_millis: 170.029, usercpu_time_millis_testing: 3.179, usercpu_time_millis_training: 166.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.798, kappa: 0.5925, kb_relative_information_score: 1303.4093, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7983, predictive_accuracy: 0.7985, prior_entropy: 0.9948, recall: 0.7985, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.7875, scimark_benchmark: 1848.8886, usercpu_time_millis: 162.027, usercpu_time_millis_testing: 2.949, usercpu_time_millis_training: 159.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7556, kappa: 0.5069, kb_relative_information_score: 1012.3056, mean_absolute_error: 0.3821, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7581, predictive_accuracy: 0.7574, prior_entropy: 0.9948, recall: 0.7574, relative_absolute_error: 0.7698, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.8416, scimark_benchmark: 1728.4686, usercpu_time_millis: 172.58, usercpu_time_millis_testing: 1.515, usercpu_time_millis_training: 171.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7888, kappa: 0.574, kb_relative_information_score: 1177.2501, mean_absolute_error: 0.3603, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7888, predictive_accuracy: 0.7891, prior_entropy: 0.9948, recall: 0.7891, relative_absolute_error: 0.7258, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8051, scimark_benchmark: 1849.8294, usercpu_time_millis: 131.361, usercpu_time_millis_testing: 2.685, usercpu_time_millis_training: 128.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.8072, kappa: 0.6113, kb_relative_information_score: 1502.2199, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8073, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.6371, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.7618, scimark_benchmark: 1849.8662, usercpu_time_millis: 93.832, usercpu_time_millis_testing: 1.368, usercpu_time_millis_training: 92.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.7914, kappa: 0.5793, kb_relative_information_score: 1221.0294, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7915, predictive_accuracy: 0.7918, prior_entropy: 0.9948, recall: 0.7918, relative_absolute_error: 0.7141, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.7991, scimark_benchmark: 2129.3468, usercpu_time_millis: 97.74, usercpu_time_millis_testing: 2.197, usercpu_time_millis_training: 95.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.7466, kappa: 0.489, kb_relative_information_score: 811.88, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7466, predictive_accuracy: 0.747, prior_entropy: 0.9948, recall: 0.747, relative_absolute_error: 0.8191, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8645, scimark_benchmark: 1849.3742, usercpu_time_millis: 90.621, usercpu_time_millis_testing: 2.036, usercpu_time_millis_training: 88.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7684, kappa: 0.5331, kb_relative_information_score: 967.7381, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7683, predictive_accuracy: 0.7686, prior_entropy: 0.9948, recall: 0.7686, relative_absolute_error: 0.7797, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8398, scimark_benchmark: 1837.1955, usercpu_time_millis: 80.251, usercpu_time_millis_testing: 1.383, usercpu_time_millis_training: 78.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.7669, kappa: 0.5298, kb_relative_information_score: 1025.9358, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7672, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.7646, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8337, scimark_benchmark: 1754.9172, usercpu_time_millis: 79.757, usercpu_time_millis_testing: 1.172, usercpu_time_millis_training: 78.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.7051, kappa: 0.4058, kb_relative_information_score: 494.7923, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7108, predictive_accuracy: 0.7091, prior_entropy: 0.9948, recall: 0.7091, relative_absolute_error: 0.8962, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9118, scimark_benchmark: 1849.7595, usercpu_time_millis: 35.82, usercpu_time_millis_testing: 3.666, usercpu_time_millis_training: 32.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.7249, kappa: 0.4452, kb_relative_information_score: 719.6967, mean_absolute_error: 0.4176, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7249, predictive_accuracy: 0.7254, prior_entropy: 0.9948, recall: 0.7254, relative_absolute_error: 0.8412, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8787, scimark_benchmark: 1675.0517, usercpu_time_millis: 19.99, usercpu_time_millis_testing: 1.648, usercpu_time_millis_training: 18.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.7626, kappa: 0.5213, kb_relative_information_score: 961.0247, mean_absolute_error: 0.3878, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7626, predictive_accuracy: 0.763, prior_entropy: 0.9948, recall: 0.763, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.8422, scimark_benchmark: 1734.3333, usercpu_time_millis: 21.128, usercpu_time_millis_testing: 1.072, usercpu_time_millis_training: 20.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.1678, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1717.8488, usercpu_time_millis: 5.828, usercpu_time_millis_testing: 0.962, usercpu_time_millis_training: 4.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.7114, kappa: 0.4177, kb_relative_information_score: 579.7778, mean_absolute_error: 0.4346, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7119, predictive_accuracy: 0.7126, prior_entropy: 0.9948, recall: 0.7126, relative_absolute_error: 0.8755, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4489, root_relative_squared_error: 0.901, scimark_benchmark: 1850.0581, usercpu_time_millis: 8.663, usercpu_time_millis_testing: 1.128, usercpu_time_millis_training: 7.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.2132, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1845.7061, usercpu_time_millis: 6.025, usercpu_time_millis_testing: 1.031, usercpu_time_millis_training: 4.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.5355, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1850.2875, usercpu_time_millis: 5.325, usercpu_time_millis_testing: 1.133, usercpu_time_millis_training: 4.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.7736, kappa: 0.5436, kb_relative_information_score: 1408.8875, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7736, predictive_accuracy: 0.7739, prior_entropy: 0.9948, recall: 0.7739, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.402, root_relative_squared_error: 0.807, scimark_benchmark: 1729.728, usercpu_time_millis: 35.642, usercpu_time_millis_testing: 0.815, usercpu_time_millis_training: 34.827,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.7931, kappa: 0.5828, kb_relative_information_score: 1192.1202, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7931, predictive_accuracy: 0.7934, prior_entropy: 0.9948, recall: 0.7934, relative_absolute_error: 0.7215, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.804, scimark_benchmark: 1833.1413, usercpu_time_millis: 31.643, usercpu_time_millis_testing: 0.992, usercpu_time_millis_training: 30.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.085, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1836.6789, usercpu_time_millis: 8.329, usercpu_time_millis_testing: 1.254, usercpu_time_millis_training: 7.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.1601, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1739.5337, usercpu_time_millis: 8.983, usercpu_time_millis_testing: 1.289, usercpu_time_millis_training: 7.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.5127, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1734.9909, usercpu_time_millis: 6.245, usercpu_time_millis_testing: 0.816, usercpu_time_millis_training: 5.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7994, kappa: 0.5953, kb_relative_information_score: 1440.6122, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7996, predictive_accuracy: 0.7998, prior_entropy: 0.9948, recall: 0.7998, relative_absolute_error: 0.6535, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.387, root_relative_squared_error: 0.7767, scimark_benchmark: 1730.0897, usercpu_time_millis: 1336.698, usercpu_time_millis_testing: 4.651, usercpu_time_millis_training: 1332.047,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.8031, kappa: 0.603, kb_relative_information_score: 1435.3692, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8033, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.6554, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.7741, scimark_benchmark: 1758.661, usercpu_time_millis: 944.639, usercpu_time_millis_testing: 3.731, usercpu_time_millis_training: 940.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.7712, kappa: 0.5383, kb_relative_information_score: 1186.8158, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7719, predictive_accuracy: 0.7721, prior_entropy: 0.9948, recall: 0.7721, relative_absolute_error: 0.7215, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8171, scimark_benchmark: 1754.991, usercpu_time_millis: 805.09, usercpu_time_millis_testing: 2.701, usercpu_time_millis_training: 802.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.7723, kappa: 0.5405, kb_relative_information_score: 1261.871, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7736, predictive_accuracy: 0.7734, prior_entropy: 0.9948, recall: 0.7734, relative_absolute_error: 0.7003, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8133, scimark_benchmark: 1752.0917, usercpu_time_millis: 337.78, usercpu_time_millis_testing: 1.126, usercpu_time_millis_training: 336.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.81, kappa: 0.6169, kb_relative_information_score: 1625.777, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.81, predictive_accuracy: 0.8102, prior_entropy: 0.9948, recall: 0.8102, relative_absolute_error: 0.6011, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7502, scimark_benchmark: 1739.9463, usercpu_time_millis: 140.749, usercpu_time_millis_testing: 1.623, usercpu_time_millis_training: 139.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.8095, kappa: 0.6157, kb_relative_information_score: 1610.7806, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8098, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.7532, scimark_benchmark: 1836.5574, usercpu_time_millis: 3009.198, usercpu_time_millis_testing: 5.855, usercpu_time_millis_training: 3003.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.8049, kappa: 0.6065, kb_relative_information_score: 1600.9101, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8052, predictive_accuracy: 0.8054, prior_entropy: 0.9948, recall: 0.8054, relative_absolute_error: 0.6081, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.7592, scimark_benchmark: 1768.268, usercpu_time_millis: 6279.99, usercpu_time_millis_testing: 5.111, usercpu_time_millis_training: 6274.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8435, f_measure: 0.7804, kappa: 0.557, kb_relative_information_score: 1364.149, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7806, predictive_accuracy: 0.7809, prior_entropy: 0.9948, recall: 0.7809, relative_absolute_error: 0.6714, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8024, scimark_benchmark: 1840.7617, usercpu_time_millis: 1092.329, usercpu_time_millis_testing: 2.161, usercpu_time_millis_training: 1090.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.7585, kappa: 0.5133, kb_relative_information_score: 1250.6305, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7585, predictive_accuracy: 0.7587, prior_entropy: 0.9948, recall: 0.7587, relative_absolute_error: 0.7009, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8276, scimark_benchmark: 1727.3803, usercpu_time_millis: 448.432, usercpu_time_millis_testing: 1.438, usercpu_time_millis_training: 446.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 879.3316, mean_absolute_error: 0.3994, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8044, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.8767, scimark_benchmark: 1729.6111, usercpu_time_millis: 360.606, usercpu_time_millis_testing: 1.735, usercpu_time_millis_training: 358.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8028, kappa: 0.6023, kb_relative_information_score: 1552.3377, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8031, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.6224, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.7622, scimark_benchmark: 1844.3569, usercpu_time_millis: 3309.29, usercpu_time_millis_testing: 4.601, usercpu_time_millis_training: 3304.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8026, kappa: 0.6019, kb_relative_information_score: 1686.9484, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.5808, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.757, scimark_benchmark: 1752.2511, usercpu_time_millis: 1646.016, usercpu_time_millis_testing: 1.324, usercpu_time_millis_training: 1644.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.7881, kappa: 0.5726, kb_relative_information_score: 1416.7678, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7883, predictive_accuracy: 0.7886, prior_entropy: 0.9948, recall: 0.7886, relative_absolute_error: 0.6579, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.7886, scimark_benchmark: 1735.6941, usercpu_time_millis: 1411.648, usercpu_time_millis_testing: 2.453, usercpu_time_millis_training: 1409.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.8026, kappa: 0.6019, kb_relative_information_score: 1607.4824, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.6056, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7609, scimark_benchmark: 1722.2536, usercpu_time_millis: 14675.593, usercpu_time_millis_testing: 5.495, usercpu_time_millis_training: 14670.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8025, kappa: 0.6017, kb_relative_information_score: 1529.8896, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7668, scimark_benchmark: 1777.4369, usercpu_time_millis: 1295.141, usercpu_time_millis_testing: 2.608, usercpu_time_millis_training: 1292.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.7915, kappa: 0.5794, kb_relative_information_score: 1553.7405, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7919, predictive_accuracy: 0.7921, prior_entropy: 0.9948, recall: 0.7921, relative_absolute_error: 0.6178, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.776, scimark_benchmark: 1714.1628, usercpu_time_millis: 9685.464, usercpu_time_millis_testing: 3.915, usercpu_time_millis_training: 9681.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.7779, kappa: 0.552, kb_relative_information_score: 1356.3581, mean_absolute_error: 0.3347, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7782, predictive_accuracy: 0.7785, prior_entropy: 0.9948, recall: 0.7785, relative_absolute_error: 0.6743, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8005, scimark_benchmark: 1774.4648, usercpu_time_millis: 804.571, usercpu_time_millis_testing: 2.332, usercpu_time_millis_training: 802.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.7902, kappa: 0.5767, kb_relative_information_score: 1567.7255, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7905, predictive_accuracy: 0.7907, prior_entropy: 0.9948, recall: 0.7907, relative_absolute_error: 0.6138, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.386, root_relative_squared_error: 0.7748, scimark_benchmark: 1701.4644, usercpu_time_millis: 5347.491, usercpu_time_millis_testing: 2.325, usercpu_time_millis_training: 5345.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.7543, kappa: 0.5048, kb_relative_information_score: 1196.6763, mean_absolute_error: 0.3566, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7542, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.7182, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8373, scimark_benchmark: 1755.2082, usercpu_time_millis: 305.165, usercpu_time_millis_testing: 1.142, usercpu_time_millis_training: 304.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.7714, kappa: 0.5387, kb_relative_information_score: 1134.4194, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7723, predictive_accuracy: 0.7723, prior_entropy: 0.9948, recall: 0.7723, relative_absolute_error: 0.7361, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8208, scimark_benchmark: 1735.6941, usercpu_time_millis: 247.131, usercpu_time_millis_testing: 1.524, usercpu_time_millis_training: 245.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.7728, kappa: 0.5418, kb_relative_information_score: 976.0652, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7731, predictive_accuracy: 0.7734, prior_entropy: 0.9948, recall: 0.7734, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8316, scimark_benchmark: 1753.5098, usercpu_time_millis: 89.484, usercpu_time_millis_testing: 4.621, usercpu_time_millis_training: 84.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.7515, kappa: 0.4987, kb_relative_information_score: 694.3545, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.7523, prior_entropy: 0.9948, recall: 0.7523, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8772, scimark_benchmark: 1743.0733, usercpu_time_millis: 55.848, usercpu_time_millis_testing: 5.396, usercpu_time_millis_training: 50.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.7652, kappa: 0.5265, kb_relative_information_score: 893.8477, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7653, predictive_accuracy: 0.7657, prior_entropy: 0.9948, recall: 0.7657, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8447, scimark_benchmark: 2115.2546, usercpu_time_millis: 60.19, usercpu_time_millis_testing: 3.464, usercpu_time_millis_training: 56.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 882.7126, mean_absolute_error: 0.3989, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8036, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8712, scimark_benchmark: 1837.1955, usercpu_time_millis: 64.197, usercpu_time_millis_testing: 0.895, usercpu_time_millis_training: 63.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.7147, kappa: 0.4246, kb_relative_information_score: 537.4258, mean_absolute_error: 0.4401, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7185, predictive_accuracy: 0.7177, prior_entropy: 0.9948, recall: 0.7177, relative_absolute_error: 0.8864, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4505, root_relative_squared_error: 0.9043, scimark_benchmark: 1746.1668, usercpu_time_millis: 51.794, usercpu_time_millis_testing: 4.973, usercpu_time_millis_training: 46.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.741, kappa: 0.4774, kb_relative_information_score: 773.0064, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7415, predictive_accuracy: 0.7419, prior_entropy: 0.9948, recall: 0.7419, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8665, scimark_benchmark: 1753.5536, usercpu_time_millis: 42.491, usercpu_time_millis_testing: 3.779, usercpu_time_millis_training: 38.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.7874, kappa: 0.5712, kb_relative_information_score: 1098.9694, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7875, predictive_accuracy: 0.7878, prior_entropy: 0.9948, recall: 0.7878, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8126, scimark_benchmark: 1803.0148, usercpu_time_millis: 30.658, usercpu_time_millis_testing: 2.08, usercpu_time_millis_training: 28.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7425, kappa: 0.4805, kb_relative_information_score: 636.0742, mean_absolute_error: 0.4287, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7436, predictive_accuracy: 0.7438, prior_entropy: 0.9948, recall: 0.7438, relative_absolute_error: 0.8636, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8869, scimark_benchmark: 1753.8205, usercpu_time_millis: 34.227, usercpu_time_millis_testing: 3.29, usercpu_time_millis_training: 30.937,

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