OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 145976 Supervised Classification diabetes 67074 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7636, kappa: 0.4713, kb_relative_information_score: 243.2173, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7641, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8284, scimark_benchmark: 1858.3038, usercpu_time_millis: 3.548, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 3.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, f_measure: 0.5134, kb_relative_information_score: -1.3868, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0001, scimark_benchmark: 1846.11, usercpu_time_millis: 0.086, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5134, kb_relative_information_score: -0.039, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1957.6857, usercpu_time_millis: 0.461, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.7577, kappa: 0.4588, kb_relative_information_score: 241.305, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7574, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7003, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8287, scimark_benchmark: 1837.9983, usercpu_time_millis: 4.906, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 4.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.7645, kappa: 0.4728, kb_relative_information_score: 229.7658, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7174, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.8293, scimark_benchmark: 1837.8738, usercpu_time_millis: 3.908, usercpu_time_millis_testing: 0.607, usercpu_time_millis_training: 3.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7593, kappa: 0.4604, kb_relative_information_score: 225.768, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7612, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7232, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8342, scimark_benchmark: 1756.7987, usercpu_time_millis: 0.528, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.7509, kappa: 0.4413, kb_relative_information_score: 195.5943, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7527, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.7649, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8479, scimark_benchmark: 1843.2203, usercpu_time_millis: 3.228, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 2.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.7429, kappa: 0.4219, kb_relative_information_score: 193.3773, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7474, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.7682, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.843, scimark_benchmark: 1842.5816, usercpu_time_millis: 1.925, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 1.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7639, kappa: 0.4735, kb_relative_information_score: 249.9296, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7632, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.8281, scimark_benchmark: 1628.6187, usercpu_time_millis: 6.548, usercpu_time_millis_testing: 0.539, usercpu_time_millis_training: 6.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5134, kb_relative_information_score: 0.2342, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1696.235, usercpu_time_millis: 0.494, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 0.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.7541, kappa: 0.4499, kb_relative_information_score: 211.4656, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7543, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8443, scimark_benchmark: 1842.5816, usercpu_time_millis: 3.353, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 3.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7604, kappa: 0.4661, kb_relative_information_score: 253.3265, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7594, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.828, scimark_benchmark: 1839.4141, usercpu_time_millis: 1.51, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 1.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7493, kappa: 0.4384, kb_relative_information_score: 215.4919, mean_absolute_error: 0.3346, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.75, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8402, scimark_benchmark: 1771.3236, usercpu_time_millis: 3.676, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 3.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.752, kappa: 0.4444, kb_relative_information_score: 223.6455, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7528, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.7264, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8319, scimark_benchmark: 1760.4871, usercpu_time_millis: 2.669, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 2.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.7304, kappa: 0.3938, kb_relative_information_score: 159.2479, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7342, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.8147, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8768, scimark_benchmark: 1763.4218, usercpu_time_millis: 2.169, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 1.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7657, kappa: 0.4766, kb_relative_information_score: 251.1071, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7656, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8352, scimark_benchmark: 1784.3407, usercpu_time_millis: 0.51, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8243, f_measure: 0.7527, kappa: 0.4493, kb_relative_information_score: 246.9305, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7515, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.6868, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8417, scimark_benchmark: 1837.5485, usercpu_time_millis: 0.409, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.7647, kappa: 0.4763, kb_relative_information_score: 249.6723, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7637, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8299, scimark_benchmark: 1772.7101, usercpu_time_millis: 0.866, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5134, kb_relative_information_score: 0.0667, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1827.9085, usercpu_time_millis: 0.247, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.761, kappa: 0.4635, kb_relative_information_score: 212.4788, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7642, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8344, scimark_benchmark: 1856.7467, usercpu_time_millis: 1.096, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 0.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.7592, kappa: 0.4636, kb_relative_information_score: 250.325, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7582, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.8271, scimark_benchmark: 1771.3083, usercpu_time_millis: 0.8, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.7158, kappa: 0.3617, kb_relative_information_score: 149.2377, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7169, predictive_accuracy: 0.7266, prior_entropy: 0.9335, recall: 0.7266, relative_absolute_error: 0.8261, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8998, scimark_benchmark: 1846.2342, usercpu_time_millis: 1.805, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 1.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.5134, kb_relative_information_score: -0.9781, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1, scimark_benchmark: 1771.803, usercpu_time_millis: 0.213, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.7703, kappa: 0.489, kb_relative_information_score: 247.8716, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7693, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8301, scimark_benchmark: 1821.6599, usercpu_time_millis: 10.772, usercpu_time_millis_testing: 0.834, usercpu_time_millis_training: 9.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7604, kappa: 0.4661, kb_relative_information_score: 254.6235, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7594, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6795, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.8249, scimark_benchmark: 1742.809, usercpu_time_millis: 6.235, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 5.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7705, kappa: 0.4899, kb_relative_information_score: 247.1777, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7695, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8335, scimark_benchmark: 1738.0527, usercpu_time_millis: 7.98, usercpu_time_millis_testing: 0.65, usercpu_time_millis_training: 7.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.761, kappa: 0.4653, kb_relative_information_score: 241.0933, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7008, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.8292, scimark_benchmark: 1724.6311, usercpu_time_millis: 5.26, usercpu_time_millis_testing: 0.528, usercpu_time_millis_training: 4.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.7753, kappa: 0.4998, kb_relative_information_score: 254.5322, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7745, predictive_accuracy: 0.7786, prior_entropy: 0.9335, recall: 0.7786, relative_absolute_error: 0.6797, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8258, scimark_benchmark: 1813.8733, usercpu_time_millis: 3.922, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 3.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7642, kappa: 0.4719, kb_relative_information_score: 226.4035, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7232, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8295, scimark_benchmark: 1819.5098, usercpu_time_millis: 3.586, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 3.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7585, kappa: 0.4589, kb_relative_information_score: 211.7672, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7598, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8405, scimark_benchmark: 1813.3931, usercpu_time_millis: 2.012, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 1.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.7584, kappa: 0.4644, kb_relative_information_score: 254.5668, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7572, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.6751, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8446, scimark_benchmark: 1745.8488, usercpu_time_millis: 1.662, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 1.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.7305, kappa: 0.3928, kb_relative_information_score: 140.0931, mean_absolute_error: 0.3827, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.745, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.842, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8808, scimark_benchmark: 1816.7379, usercpu_time_millis: 1.908, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 1.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.6051, kappa: 0.1452, kb_relative_information_score: 83.9793, mean_absolute_error: 0.4127, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7077, predictive_accuracy: 0.6849, prior_entropy: 0.9335, recall: 0.6849, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.44, root_relative_squared_error: 0.9231, scimark_benchmark: 1747.294, usercpu_time_millis: 0.06, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.6875, kappa: 0.3004, kb_relative_information_score: 121.8093, mean_absolute_error: 0.3916, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.728, predictive_accuracy: 0.724, prior_entropy: 0.9335, recall: 0.724, relative_absolute_error: 0.8617, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.8905, scimark_benchmark: 1745.4481, usercpu_time_millis: 0.737, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 0.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7253, kappa: 0.3872, kb_relative_information_score: 173.2523, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7237, predictive_accuracy: 0.7305, prior_entropy: 0.9335, recall: 0.7305, relative_absolute_error: 0.7878, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8785, scimark_benchmark: 1743.0184, usercpu_time_millis: 2.943, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 2.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.6973, kappa: 0.3241, kb_relative_information_score: 123.4254, mean_absolute_error: 0.3923, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7523, predictive_accuracy: 0.7357, prior_entropy: 0.9335, recall: 0.7357, relative_absolute_error: 0.8632, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.8899, scimark_benchmark: 1745.7305, usercpu_time_millis: 0.456, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 0.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7466, kappa: 0.4323, kb_relative_information_score: 195.3377, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7472, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.761, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8567, scimark_benchmark: 1722.2989, usercpu_time_millis: 1.155, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 0.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.5134, kb_relative_information_score: 0.2243, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1740.384, usercpu_time_millis: 0.397, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 0.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, f_measure: 0.7305, kappa: 0.3928, kb_relative_information_score: 137.487, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.745, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8832, scimark_benchmark: 1743.5442, usercpu_time_millis: 1.212, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 1.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.7479, kappa: 0.4336, kb_relative_information_score: 205.4911, mean_absolute_error: 0.3417, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7515, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8389, scimark_benchmark: 1739.0418, usercpu_time_millis: 0.491, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 0.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.766, kappa: 0.4763, kb_relative_information_score: 234.4106, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7668, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.7083, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.834, scimark_benchmark: 1738.0139, usercpu_time_millis: 0.419, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.7228, kappa: 0.3758, kb_relative_information_score: 141.8607, mean_absolute_error: 0.3785, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7465, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.8329, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.8771, scimark_benchmark: 1742.9276, usercpu_time_millis: 0.165, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.7163, kappa: 0.364, kb_relative_information_score: 182.4439, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.716, predictive_accuracy: 0.7253, prior_entropy: 0.9335, recall: 0.7253, relative_absolute_error: 0.7681, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.9017, scimark_benchmark: 1762.0693, usercpu_time_millis: 0.05, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.766, kappa: 0.4776, kb_relative_information_score: 248.4324, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7657, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6895, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.8269, scimark_benchmark: 1454.3603, usercpu_time_millis: 6.573, usercpu_time_millis_testing: 0.524, usercpu_time_millis_training: 6.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7602, kappa: 0.462, kb_relative_information_score: 219.3781, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7627, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8342, scimark_benchmark: 1425.3327, usercpu_time_millis: 2.875, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 2.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.5134, kb_relative_information_score: 0.1179, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1445.0092, usercpu_time_millis: 1.326, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 1.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.7227, kappa: 0.3765, kb_relative_information_score: 158.6498, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7254, predictive_accuracy: 0.7344, prior_entropy: 0.9335, recall: 0.7344, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8878, scimark_benchmark: 1429.4031, usercpu_time_millis: 0.554, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.7681, kappa: 0.4849, kb_relative_information_score: 262.2875, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7671, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6639, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8383, scimark_benchmark: 1370.224, usercpu_time_millis: 13.034, usercpu_time_millis_testing: 0.879, usercpu_time_millis_training: 12.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7655, kappa: 0.4791, kb_relative_information_score: 256.1803, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7644, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6751, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8345, scimark_benchmark: 1377.3752, usercpu_time_millis: 3.992, usercpu_time_millis_testing: 0.451, usercpu_time_millis_training: 3.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.7514, kappa: 0.4407, kb_relative_information_score: 178.0771, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7581, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7901, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8523, scimark_benchmark: 1380.3146, usercpu_time_millis: 2.543, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 2.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.7619, kappa: 0.4717, kb_relative_information_score: 257.1961, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7608, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6716, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.838, scimark_benchmark: 1378.5768, usercpu_time_millis: 3.706, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 3.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.763, kappa: 0.4707, kb_relative_information_score: 243.8795, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7629, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6965, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.829, scimark_benchmark: 1383.3538, usercpu_time_millis: 2.985, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 2.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.7482, kappa: 0.4353, kb_relative_information_score: 215.6852, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7499, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.736, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8369, scimark_benchmark: 1378.124, usercpu_time_millis: 0.897, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 0.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.6731, kappa: 0.275, kb_relative_information_score: 107.9473, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.742, predictive_accuracy: 0.7214, prior_entropy: 0.9335, recall: 0.7214, relative_absolute_error: 0.8831, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.43, root_relative_squared_error: 0.902, scimark_benchmark: 1378.9699, usercpu_time_millis: 1.069, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 0.882,
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: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1693, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1374.9023, usercpu_time_millis: 0.727, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 0.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.7575, kappa: 0.4559, kb_relative_information_score: 214.5402, mean_absolute_error: 0.3355, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7598, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7383, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8384, scimark_benchmark: 1395.3304, usercpu_time_millis: 2.861, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 2.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.7284, kappa: 0.389, kb_relative_information_score: 153.8292, mean_absolute_error: 0.3735, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7328, predictive_accuracy: 0.7409, prior_entropy: 0.9335, recall: 0.7409, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.8822, scimark_benchmark: 1385.1092, usercpu_time_millis: 0.177, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7607, kappa: 0.4657, kb_relative_information_score: 239.3395, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7602, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7031, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.8291, scimark_benchmark: 1378.4096, usercpu_time_millis: 6.139, usercpu_time_millis_testing: 0.643, usercpu_time_millis_training: 5.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1225, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1385.7614, usercpu_time_millis: 0.634, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.7399, kappa: 0.4139, kb_relative_information_score: 141.8115, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7537, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.8391, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8773, scimark_benchmark: 1371.9521, usercpu_time_millis: 1.583, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 1.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7573, kappa: 0.4564, kb_relative_information_score: 233.0206, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7584, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7125, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8336, scimark_benchmark: 1382.0981, usercpu_time_millis: 3.112, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 2.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7601, kappa: 0.4651, kb_relative_information_score: 252.8265, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7592, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.8272, scimark_benchmark: 1380.1951, usercpu_time_millis: 5.2, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 4.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.7577, kappa: 0.4638, kb_relative_information_score: 261.106, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7567, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.662, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8469, scimark_benchmark: 1385.859, usercpu_time_millis: 14.17, usercpu_time_millis_testing: 1.005, usercpu_time_millis_training: 13.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.6045, kappa: 0.146, kb_relative_information_score: 92.1296, mean_absolute_error: 0.4079, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7172, predictive_accuracy: 0.6862, prior_entropy: 0.9335, recall: 0.6862, relative_absolute_error: 0.8976, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.9139, scimark_benchmark: 1359.6678, usercpu_time_millis: 0.306, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.7499, kappa: 0.4377, kb_relative_information_score: 197.129, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7546, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7633, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8434, scimark_benchmark: 1379.3647, usercpu_time_millis: 1.523, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 1.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7741, kappa: 0.4974, kb_relative_information_score: 244.8365, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7733, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8316, scimark_benchmark: 1375.9805, usercpu_time_millis: 6.949, usercpu_time_millis_testing: 0.804, usercpu_time_millis_training: 6.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.6134, kappa: 0.1646, kb_relative_information_score: 93.1245, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7357, predictive_accuracy: 0.6927, prior_entropy: 0.9335, recall: 0.6927, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.9137, scimark_benchmark: 1375.8454, usercpu_time_millis: 0.653, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.739, kappa: 0.4139, kb_relative_information_score: 187.6823, mean_absolute_error: 0.3523, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7413, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8551, scimark_benchmark: 1377.3115, usercpu_time_millis: 0.477, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.5134, kb_relative_information_score: -0.1558, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1382.0168, usercpu_time_millis: 0.432, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.7543, kappa: 0.4552, kb_relative_information_score: 243.4356, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7531, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.6875, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8472, scimark_benchmark: 1376.0261, usercpu_time_millis: 0.075, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.7235, kappa: 0.3826, kb_relative_information_score: 168.9042, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7219, predictive_accuracy: 0.7292, prior_entropy: 0.9335, recall: 0.7292, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8745, scimark_benchmark: 1373.0682, usercpu_time_millis: 0.323, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.7606, kappa: 0.4643, kb_relative_information_score: 232.58, mean_absolute_error: 0.3241, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7612, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.713, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8302, scimark_benchmark: 1371.511, usercpu_time_millis: 0.633, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.552,
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: 0.8311, f_measure: 0.7648, kappa: 0.4738, kb_relative_information_score: 240.3203, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8316, scimark_benchmark: 1371.5371, usercpu_time_millis: 2.216, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 1.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.7719, kappa: 0.4901, kb_relative_information_score: 237.0028, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7724, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.8279, scimark_benchmark: 1370.8835, usercpu_time_millis: 6.784, usercpu_time_millis_testing: 0.738, usercpu_time_millis_training: 6.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7499, kappa: 0.4377, kb_relative_information_score: 198.2552, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7546, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7623, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8415, scimark_benchmark: 1375.2572, usercpu_time_millis: 2.254, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 1.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5134, kb_relative_information_score: 0.08, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1377.0525, usercpu_time_millis: 0.93, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 0.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7541, kappa: 0.4479, kb_relative_information_score: 201.3625, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7571, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8434, scimark_benchmark: 1374.5717, usercpu_time_millis: 6.283, usercpu_time_millis_testing: 0.782, usercpu_time_millis_training: 5.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.7573, kappa: 0.4564, kb_relative_information_score: 207.0563, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7584, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7471, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8425, scimark_benchmark: 1378.4869, usercpu_time_millis: 5.47, usercpu_time_millis_testing: 0.807, usercpu_time_millis_training: 4.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.761, kappa: 0.4702, kb_relative_information_score: 259.6364, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7599, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6676, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8389, scimark_benchmark: 1383.5416, usercpu_time_millis: 11.594, usercpu_time_millis_testing: 0.995, usercpu_time_millis_training: 10.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.7401, kappa: 0.4143, kb_relative_information_score: 138.8644, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7565, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.8433, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8795, scimark_benchmark: 1374.5662, usercpu_time_millis: 1.168, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 0.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7627, kappa: 0.4684, kb_relative_information_score: 234.2301, mean_absolute_error: 0.3233, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.764, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.8299, scimark_benchmark: 1384.7365, usercpu_time_millis: 3.703, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 3.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7639, kappa: 0.4722, kb_relative_information_score: 244.1943, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7641, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6963, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.8299, scimark_benchmark: 1371.485, usercpu_time_millis: 6.061, usercpu_time_millis_testing: 0.476, usercpu_time_millis_training: 5.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.763, kappa: 0.4693, kb_relative_information_score: 239.9379, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.764, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7028, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8303, scimark_benchmark: 1380.1052, usercpu_time_millis: 4.972, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 4.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7425, kappa: 0.4221, kb_relative_information_score: 214.9793, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7442, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8397, scimark_benchmark: 1373.4084, usercpu_time_millis: 0.135, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0756, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1371.2521, usercpu_time_millis: 0.994, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 0.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.778, kappa: 0.5057, kb_relative_information_score: 259.8234, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7772, predictive_accuracy: 0.7813, prior_entropy: 0.9335, recall: 0.7813, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8345, scimark_benchmark: 1381.6684, usercpu_time_millis: 1.257, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 1.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.761, kappa: 0.4653, kb_relative_information_score: 241.8175, mean_absolute_error: 0.3157, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8404, scimark_benchmark: 1378.8944, usercpu_time_millis: 0.075, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.7669, kappa: 0.4791, kb_relative_information_score: 236.2832, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.767, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.7084, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8286, scimark_benchmark: 1373.198, usercpu_time_millis: 3.666, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 3.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7617, kappa: 0.4708, kb_relative_information_score: 264.1083, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7605, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6607, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8333, scimark_benchmark: 1375.7494, usercpu_time_millis: 10.661, usercpu_time_millis_testing: 0.657, usercpu_time_millis_training: 10.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7488, kappa: 0.4379, kb_relative_information_score: 218.873, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7488, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.7299, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8382, scimark_benchmark: 1381.2705, usercpu_time_millis: 3.647, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 3.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: -0.0575, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1386.0959, usercpu_time_millis: 1.052, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 0.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5134, kb_relative_information_score: 0.1026, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1381.6873, usercpu_time_millis: 0.724, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7627, kappa: 0.4684, kb_relative_information_score: 223.1207, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.764, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7276, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8314, scimark_benchmark: 1374.8133, usercpu_time_millis: 3.218, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 2.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.763, kappa: 0.4707, kb_relative_information_score: 243.4725, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7629, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6975, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.8247, scimark_benchmark: 1383.2868, usercpu_time_millis: 1.754, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 1.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.7363, kappa: 0.4181, kb_relative_information_score: 257.1405, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7357, predictive_accuracy: 0.737, prior_entropy: 0.9335, recall: 0.737, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8768, scimark_benchmark: 1379.0581, usercpu_time_millis: 8.03, usercpu_time_millis_testing: 0.535, usercpu_time_millis_training: 7.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.5134, kb_relative_information_score: 0.1354, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1378.852, usercpu_time_millis: 0.136, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.768, kappa: 0.4828, kb_relative_information_score: 252.3694, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7674, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8303, scimark_benchmark: 1378.7904, usercpu_time_millis: 3.445, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 3.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1351, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1376.3782, usercpu_time_millis: 1.118, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 0.889,

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