OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 14966 Supervised Classification Bioresponse 19049 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 942.5962, mean_absolute_error: 0.3911, 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: 0.7878, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8755, scimark_benchmark: 1854.4951, usercpu_time_millis: 109.749, usercpu_time_millis_testing: 0.948, usercpu_time_millis_training: 108.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.7538, kappa: 0.5033, kb_relative_information_score: 938.0266, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7554, predictive_accuracy: 0.7553, prior_entropy: 0.9948, recall: 0.7553, relative_absolute_error: 0.7885, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8486, scimark_benchmark: 1847.8629, usercpu_time_millis: 116.681, usercpu_time_millis_testing: 1.419, usercpu_time_millis_training: 115.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7606, kappa: 0.5171, kb_relative_information_score: 1189.9479, mean_absolute_error: 0.3577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7634, predictive_accuracy: 0.7625, prior_entropy: 0.9948, recall: 0.7625, relative_absolute_error: 0.7205, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8268, scimark_benchmark: 1845.7835, usercpu_time_millis: 158.062, usercpu_time_millis_testing: 0.948, usercpu_time_millis_training: 157.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.765, kappa: 0.5257, kb_relative_information_score: 1245.8917, mean_absolute_error: 0.3495, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7658, predictive_accuracy: 0.7659, prior_entropy: 0.9948, recall: 0.7659, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8103, scimark_benchmark: 1854.4951, usercpu_time_millis: 10.839, usercpu_time_millis_testing: 0.634, usercpu_time_millis_training: 10.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.7543, kappa: 0.5045, kb_relative_information_score: 951.3972, mean_absolute_error: 0.3886, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7543, predictive_accuracy: 0.7547, prior_entropy: 0.9948, recall: 0.7547, relative_absolute_error: 0.7827, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8437, scimark_benchmark: 1856.6531, usercpu_time_millis: 13.189, usercpu_time_millis_testing: 1.136, usercpu_time_millis_training: 12.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7837, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 893.2085, mean_absolute_error: 0.3976, 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: 0.8008, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.8768, scimark_benchmark: 1837.6889, usercpu_time_millis: 47.035, usercpu_time_millis_testing: 0.784, usercpu_time_millis_training: 46.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.7753, kappa: 0.5466, kb_relative_information_score: 1306.9995, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7764, predictive_accuracy: 0.7763, prior_entropy: 0.9948, recall: 0.7763, relative_absolute_error: 0.687, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8083, scimark_benchmark: 1838.2372, usercpu_time_millis: 209.521, usercpu_time_millis_testing: 0.868, usercpu_time_millis_training: 208.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7386, kappa: 0.4727, kb_relative_information_score: 481.1599, mean_absolute_error: 0.4466, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7391, predictive_accuracy: 0.7395, prior_entropy: 0.9948, recall: 0.7395, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.9167, scimark_benchmark: 1826.6673, usercpu_time_millis: 9.908, usercpu_time_millis_testing: 0.711, usercpu_time_millis_training: 9.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.7366, kappa: 0.4703, kb_relative_information_score: 929.6228, mean_absolute_error: 0.3927, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7372, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.8608, scimark_benchmark: 787.5702, usercpu_time_millis: 648.112, usercpu_time_millis_testing: 2.945, usercpu_time_millis_training: 645.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1456, 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: 789.6492, usercpu_time_millis: 11.343, usercpu_time_millis_testing: 1.627, usercpu_time_millis_training: 9.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7361, kappa: 0.4693, kb_relative_information_score: 832.5553, mean_absolute_error: 0.4052, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7368, predictive_accuracy: 0.7358, prior_entropy: 0.9948, recall: 0.7358, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8712, scimark_benchmark: 1858.295, usercpu_time_millis: 43.595, usercpu_time_millis_testing: 0.868, usercpu_time_millis_training: 42.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -0.3215, 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, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 789.5808, usercpu_time_millis: 8.806, usercpu_time_millis_testing: 1.363, usercpu_time_millis_training: 7.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.7735, kappa: 0.543, kb_relative_information_score: 1161.7533, mean_absolute_error: 0.3614, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.774, predictive_accuracy: 0.7742, prior_entropy: 0.9948, recall: 0.7742, relative_absolute_error: 0.7279, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8166, scimark_benchmark: 1828.4115, usercpu_time_millis: 69.519, usercpu_time_millis_testing: 1.195, usercpu_time_millis_training: 68.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 828.8063, mean_absolute_error: 0.4058, 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: 0.8175, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8794, scimark_benchmark: 789.5687, usercpu_time_millis: 222.619, usercpu_time_millis_testing: 2.61, usercpu_time_millis_training: 220.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0649, 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: 1860.5152, usercpu_time_millis: 8.121, usercpu_time_millis_testing: 1.165, usercpu_time_millis_training: 6.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 927.4528, mean_absolute_error: 0.3931, 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: 0.7918, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8746, scimark_benchmark: 1873.1472, usercpu_time_millis: 124.718, usercpu_time_millis_testing: 0.904, usercpu_time_millis_training: 123.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.7335, kappa: 0.4634, kb_relative_information_score: 568.4259, mean_absolute_error: 0.4368, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7336, predictive_accuracy: 0.7334, prior_entropy: 0.9948, recall: 0.7334, relative_absolute_error: 0.8799, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.9038, scimark_benchmark: 1856.1887, usercpu_time_millis: 40.498, usercpu_time_millis_testing: 1.073, usercpu_time_millis_training: 39.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.7532, kappa: 0.502, kb_relative_information_score: 927.8505, mean_absolute_error: 0.3932, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7557, predictive_accuracy: 0.755, prior_entropy: 0.9948, recall: 0.755, relative_absolute_error: 0.792, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8534, scimark_benchmark: 1854.6378, usercpu_time_millis: 47.529, usercpu_time_millis_testing: 0.777, usercpu_time_millis_training: 46.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 906.1362, mean_absolute_error: 0.3959, 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: 0.7975, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8733, scimark_benchmark: 1853.0716, usercpu_time_millis: 24.492, usercpu_time_millis_testing: 0.735, usercpu_time_millis_training: 23.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.8002, kappa: 0.5969, kb_relative_information_score: 1307.0418, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8004, predictive_accuracy: 0.8006, prior_entropy: 0.9948, recall: 0.8006, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7893, scimark_benchmark: 1854.568, usercpu_time_millis: 49.617, usercpu_time_millis_testing: 1.281, usercpu_time_millis_training: 48.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.745, kappa: 0.4858, kb_relative_information_score: 801.5473, mean_absolute_error: 0.409, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.745, predictive_accuracy: 0.7454, prior_entropy: 0.9948, recall: 0.7454, relative_absolute_error: 0.8239, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8712, scimark_benchmark: 1923.1147, usercpu_time_millis: 128.62, usercpu_time_millis_testing: 1.347, usercpu_time_millis_training: 127.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.7392, kappa: 0.4746, kb_relative_information_score: 803.9585, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7392, predictive_accuracy: 0.7393, prior_entropy: 0.9948, recall: 0.7393, relative_absolute_error: 0.8233, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.8715, scimark_benchmark: 788.5077, usercpu_time_millis: 134.921, usercpu_time_millis_testing: 2.204, usercpu_time_millis_training: 132.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.7316, kappa: 0.4586, kb_relative_information_score: 656.1373, mean_absolute_error: 0.4261, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7316, predictive_accuracy: 0.7321, prior_entropy: 0.9948, recall: 0.7321, relative_absolute_error: 0.8584, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.89, scimark_benchmark: 1786.4966, usercpu_time_millis: 91.473, usercpu_time_millis_testing: 1.748, usercpu_time_millis_training: 89.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.7499, kappa: 0.4958, kb_relative_information_score: 959.4368, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7498, predictive_accuracy: 0.7502, prior_entropy: 0.9948, recall: 0.7502, relative_absolute_error: 0.7839, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4245, root_relative_squared_error: 0.8521, scimark_benchmark: 1800.3592, usercpu_time_millis: 121.839, usercpu_time_millis_testing: 1.137, usercpu_time_millis_training: 120.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: 0.1017, 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: 1853.9849, usercpu_time_millis: 5.594, usercpu_time_millis_testing: 0.8, usercpu_time_millis_training: 4.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: -0.1314, 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: 1852.0126, usercpu_time_millis: 9.335, usercpu_time_millis_testing: 1.419, usercpu_time_millis_training: 7.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.7387, kappa: 0.4732, kb_relative_information_score: 792.7091, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7386, predictive_accuracy: 0.739, prior_entropy: 0.9948, recall: 0.739, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8674, scimark_benchmark: 1853.9121, usercpu_time_millis: 47.554, usercpu_time_millis_testing: 2.313, usercpu_time_millis_training: 45.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.7911, kappa: 0.5786, kb_relative_information_score: 1699.151, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7913, predictive_accuracy: 0.7915, prior_entropy: 0.9948, recall: 0.7915, relative_absolute_error: 0.5718, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7803, scimark_benchmark: 1814.7449, usercpu_time_millis: 110.132, usercpu_time_millis_testing: 0.833, usercpu_time_millis_training: 109.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.1012, 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: 1813.6878, usercpu_time_millis: 10.189, usercpu_time_millis_testing: 1.468, usercpu_time_millis_training: 8.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.759, kappa: 0.5138, kb_relative_information_score: 1016.9715, mean_absolute_error: 0.3807, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7595, predictive_accuracy: 0.7598, prior_entropy: 0.9948, recall: 0.7598, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8366, scimark_benchmark: 1771.7257, usercpu_time_millis: 27.424, usercpu_time_millis_testing: 0.779, usercpu_time_millis_training: 26.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7635, kappa: 0.5227, kb_relative_information_score: 1089.0972, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7652, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.7487, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8299, scimark_benchmark: 1776.5001, usercpu_time_millis: 46.187, usercpu_time_millis_testing: 0.781, usercpu_time_millis_training: 45.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0361, 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: 1816.1245, usercpu_time_millis: 6.834, usercpu_time_millis_testing: 1.111, usercpu_time_millis_training: 5.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7592, kappa: 0.5141, kb_relative_information_score: 1110.4228, mean_absolute_error: 0.369, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7623, predictive_accuracy: 0.7611, prior_entropy: 0.9948, recall: 0.7611, relative_absolute_error: 0.7433, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.8321, scimark_benchmark: 1807.9092, usercpu_time_millis: 328.38, usercpu_time_millis_testing: 1.57, usercpu_time_millis_training: 326.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8145, f_measure: 0.7509, kappa: 0.4974, kb_relative_information_score: 1060.804, mean_absolute_error: 0.3759, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7524, predictive_accuracy: 0.7523, prior_entropy: 0.9948, recall: 0.7523, relative_absolute_error: 0.7571, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8427, scimark_benchmark: 1796.9328, usercpu_time_millis: 412.701, usercpu_time_millis_testing: 1.769, usercpu_time_millis_training: 410.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.7514, kappa: 0.4984, kb_relative_information_score: 1137.3663, mean_absolute_error: 0.3652, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7544, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8405, scimark_benchmark: 1831.7956, usercpu_time_millis: 277.474, usercpu_time_millis_testing: 1.053, usercpu_time_millis_training: 276.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7644, kappa: 0.525, kb_relative_information_score: 1308.1498, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7643, predictive_accuracy: 0.7646, prior_entropy: 0.9948, recall: 0.7646, relative_absolute_error: 0.6841, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.5078, kappa: 0.0129, kb_relative_information_score: -13.8122, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5104, predictive_accuracy: 0.5199, prior_entropy: 0.9948, recall: 0.5199, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.7372, kappa: 0.4717, kb_relative_information_score: 717.4793, mean_absolute_error: 0.4193, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7381, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8445, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4424, root_relative_squared_error: 0.888, scimark_benchmark: 1838.5789, usercpu_time_millis: 209.085, usercpu_time_millis_testing: 1.562, usercpu_time_millis_training: 207.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.5251, 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: 1747.2108, usercpu_time_millis: 5.019, usercpu_time_millis_testing: 0.737, usercpu_time_millis_training: 4.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7454, kappa: 0.4867, kb_relative_information_score: 818.6748, mean_absolute_error: 0.4057, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7453, predictive_accuracy: 0.7457, prior_entropy: 0.9948, recall: 0.7457, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8638, scimark_benchmark: 1840.6317, usercpu_time_millis: 104.176, usercpu_time_millis_testing: 2.82, usercpu_time_millis_training: 101.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.7644, kappa: 0.5252, kb_relative_information_score: 1322.9466, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7643, predictive_accuracy: 0.7646, prior_entropy: 0.9948, recall: 0.7646, relative_absolute_error: 0.6797, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.8003, kappa: 0.5974, kb_relative_information_score: 1478.6107, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8003, predictive_accuracy: 0.8006, prior_entropy: 0.9948, recall: 0.8006, relative_absolute_error: 0.6423, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7723, scimark_benchmark: 1821.972, usercpu_time_millis: 124.495, usercpu_time_millis_testing: 1.137, usercpu_time_millis_training: 123.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0839, 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: 1748.032, usercpu_time_millis: 8.128, usercpu_time_millis_testing: 1.279, usercpu_time_millis_training: 6.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.7705, kappa: 0.5372, kb_relative_information_score: 1078.4512, mean_absolute_error: 0.3725, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7706, predictive_accuracy: 0.771, prior_entropy: 0.9948, recall: 0.771, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8262, scimark_benchmark: 1883.9653, usercpu_time_millis: 31.866, usercpu_time_millis_testing: 0.999, usercpu_time_millis_training: 30.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.1189, 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: 1827.5277, usercpu_time_millis: 9.515, usercpu_time_millis_testing: 1.521, usercpu_time_millis_training: 7.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.6156, kappa: 0.2543, kb_relative_information_score: 208.6276, mean_absolute_error: 0.4758, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6685, predictive_accuracy: 0.6444, prior_entropy: 0.9948, recall: 0.6444, relative_absolute_error: 0.9584, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9622, scimark_benchmark: 1882.8136, usercpu_time_millis: 12.74, usercpu_time_millis_testing: 1.513, usercpu_time_millis_training: 11.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.08, 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: 1766.4257, usercpu_time_millis: 5.793, usercpu_time_millis_testing: 0.868, usercpu_time_millis_training: 4.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3813, kb_relative_information_score: -1.1513, 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: 1.0002, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1754.7872, usercpu_time_millis: 4.454, usercpu_time_millis_testing: 0.702, usercpu_time_millis_training: 3.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.7488, kappa: 0.4932, kb_relative_information_score: 1043.7206, mean_absolute_error: 0.3781, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7489, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.7617, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8475, scimark_benchmark: 1793.1859, usercpu_time_millis: 32.942, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 32.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 946.6964, mean_absolute_error: 0.3906, 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: 0.7867, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8761, scimark_benchmark: 1853.3841, usercpu_time_millis: 149.16, usercpu_time_millis_testing: 1.217, usercpu_time_millis_training: 147.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 907.02, mean_absolute_error: 0.3958, 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: 0.7972, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8725, scimark_benchmark: 1851.4874, usercpu_time_millis: 166.467, usercpu_time_millis_testing: 1.042, usercpu_time_millis_training: 165.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.7582, kappa: 0.5122, kb_relative_information_score: 980.2648, mean_absolute_error: 0.3857, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7591, predictive_accuracy: 0.7593, prior_entropy: 0.9948, recall: 0.7593, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8421, scimark_benchmark: 1847.3406, usercpu_time_millis: 118.992, usercpu_time_millis_testing: 1.728, usercpu_time_millis_training: 117.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.1016, 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: 1786.7082, usercpu_time_millis: 8.078, usercpu_time_millis_testing: 1.258, usercpu_time_millis_training: 6.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0409, 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: 1808.6867, usercpu_time_millis: 6.08, usercpu_time_millis_testing: 0.94, usercpu_time_millis_training: 5.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.7799, kappa: 0.5562, kb_relative_information_score: 1140.4129, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.78, predictive_accuracy: 0.7803, prior_entropy: 0.9948, recall: 0.7803, relative_absolute_error: 0.7339, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8166, scimark_benchmark: 1746.618, usercpu_time_millis: 22.095, usercpu_time_millis_testing: 1.132, usercpu_time_millis_training: 20.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.7543, kappa: 0.5044, kb_relative_information_score: 1107.6105, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7546, predictive_accuracy: 0.755, prior_entropy: 0.9948, recall: 0.755, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8371, scimark_benchmark: 1768.0705, usercpu_time_millis: 91.279, usercpu_time_millis_testing: 0.953, usercpu_time_millis_training: 90.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 933.9932, mean_absolute_error: 0.3922, 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: 0.7901, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.436, root_relative_squared_error: 0.8751, scimark_benchmark: 1846.2342, usercpu_time_millis: 135.952, usercpu_time_millis_testing: 1.144, usercpu_time_millis_training: 134.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7347, kappa: 0.4648, kb_relative_information_score: 456.8015, mean_absolute_error: 0.4492, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7368, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.9049, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9202, scimark_benchmark: 1743.8204, usercpu_time_millis: 13.189, usercpu_time_millis_testing: 0.829, usercpu_time_millis_training: 12.36,
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: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0565, 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: 1811.6499, usercpu_time_millis: 9.097, usercpu_time_millis_testing: 1.251, usercpu_time_millis_training: 7.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7576, kappa: 0.511, kb_relative_information_score: 1066.1056, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7582, predictive_accuracy: 0.7585, prior_entropy: 0.9948, recall: 0.7585, relative_absolute_error: 0.7533, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8359, scimark_benchmark: 1838.2986, usercpu_time_millis: 18.874, usercpu_time_millis_testing: 0.745, usercpu_time_millis_training: 18.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.772, kappa: 0.5399, kb_relative_information_score: 1290.7432, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7733, predictive_accuracy: 0.7731, prior_entropy: 0.9948, recall: 0.7731, relative_absolute_error: 0.6918, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8107, scimark_benchmark: 1813.1487, usercpu_time_millis: 128.291, usercpu_time_millis_testing: 0.88, usercpu_time_millis_training: 127.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -1.0823, 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: 1.0002, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1848.7762, usercpu_time_millis: 4.3, usercpu_time_millis_testing: 0.651, usercpu_time_millis_training: 3.649,
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: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.0171, 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: 1847.8629, usercpu_time_millis: 6.658, usercpu_time_millis_testing: 0.986, usercpu_time_millis_training: 5.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7651, f_measure: 0.6652, kappa: 0.3291, kb_relative_information_score: 327.0828, mean_absolute_error: 0.4632, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6782, predictive_accuracy: 0.674, prior_entropy: 0.9948, recall: 0.674, relative_absolute_error: 0.9331, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9421, scimark_benchmark: 1901.4375, usercpu_time_millis: 17.989, usercpu_time_millis_testing: 1.748, usercpu_time_millis_training: 16.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.6664, kappa: 0.3341, kb_relative_information_score: 756.9991, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.672, predictive_accuracy: 0.666, prior_entropy: 0.9948, recall: 0.666, relative_absolute_error: 0.8203, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4589, root_relative_squared_error: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -0.8827, 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: 1771.2647, usercpu_time_millis: 5.048, usercpu_time_millis_testing: 0.722, usercpu_time_millis_training: 4.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.7821, kappa: 0.5603, kb_relative_information_score: 1425.6865, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7825, predictive_accuracy: 0.7827, prior_entropy: 0.9948, recall: 0.7827, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.7936, scimark_benchmark: 1741.581, usercpu_time_millis: 63.69, usercpu_time_millis_testing: 0.836, usercpu_time_millis_training: 62.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7537, kappa: 0.503, kb_relative_information_score: 946.2825, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7545, predictive_accuracy: 0.7547, prior_entropy: 0.9948, recall: 0.7547, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8463, scimark_benchmark: 1856.0123, usercpu_time_millis: 106.233, usercpu_time_millis_testing: 1.501, usercpu_time_millis_training: 104.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.044, 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: 1770.8595, usercpu_time_millis: 9.012, usercpu_time_millis_testing: 1.443, usercpu_time_millis_training: 7.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 949.9941, mean_absolute_error: 0.3901, 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: 0.7858, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.8799, scimark_benchmark: 1773.6101, usercpu_time_millis: 204.909, usercpu_time_millis_testing: 1.364, usercpu_time_millis_training: 203.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7565, kappa: 0.5086, kb_relative_information_score: 1323.11, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7589, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.6797, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.815, scimark_benchmark: 1849.2104, usercpu_time_millis: 242.643, usercpu_time_millis_testing: 0.847, usercpu_time_millis_training: 241.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.0429, 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: 1853.9121, usercpu_time_millis: 6.411, usercpu_time_millis_testing: 0.967, usercpu_time_millis_training: 5.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.7363, kappa: 0.4679, kb_relative_information_score: 748.1295, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7366, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.8355, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.436, root_relative_squared_error: 0.8751, scimark_benchmark: 1779.8545, usercpu_time_millis: 71.567, usercpu_time_millis_testing: 2.083, usercpu_time_millis_training: 69.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, f_measure: 0.6458, kappa: 0.3056, kb_relative_information_score: 236.5278, mean_absolute_error: 0.4729, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6892, predictive_accuracy: 0.6673, prior_entropy: 0.9948, recall: 0.6673, relative_absolute_error: 0.9526, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4769, root_relative_squared_error: 0.9573, scimark_benchmark: 1830.5127, usercpu_time_millis: 7.376, usercpu_time_millis_testing: 0.784, usercpu_time_millis_training: 6.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.0841, 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: 1840.7617, usercpu_time_millis: 5.427, usercpu_time_millis_testing: 0.803, usercpu_time_millis_training: 4.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.0739, 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: 1848.7762, usercpu_time_millis: 6.675, usercpu_time_millis_testing: 0.922, usercpu_time_millis_training: 5.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.0236, 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: 1844.2035, usercpu_time_millis: 11.054, usercpu_time_millis_testing: 1.51, usercpu_time_millis_training: 9.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: -0.1368, 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: 1830.0545, usercpu_time_millis: 8.667, usercpu_time_millis_testing: 1.343, usercpu_time_millis_training: 7.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.7384, kappa: 0.4733, kb_relative_information_score: 843.0721, mean_absolute_error: 0.4039, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7386, predictive_accuracy: 0.7382, prior_entropy: 0.9948, recall: 0.7382, relative_absolute_error: 0.8136, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8682, scimark_benchmark: 1834.5866, usercpu_time_millis: 32.597, usercpu_time_millis_testing: 0.755, usercpu_time_millis_training: 31.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.6561, kappa: 0.3089, kb_relative_information_score: 679.6095, mean_absolute_error: 0.417, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6573, predictive_accuracy: 0.6556, prior_entropy: 0.9948, recall: 0.6556, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.7558, kappa: 0.5077, kb_relative_information_score: 1278.7714, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7557, predictive_accuracy: 0.7561, prior_entropy: 0.9948, recall: 0.7561, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.7713, kappa: 0.5385, kb_relative_information_score: 1404.8002, mean_absolute_error: 0.3281, 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: 0.661, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6271, f_measure: 0.6015, kappa: 0.1974, kb_relative_information_score: 190.8773, mean_absolute_error: 0.4766, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6046, predictive_accuracy: 0.6073, prior_entropy: 0.9948, recall: 0.6073, relative_absolute_error: 0.96, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.488, root_relative_squared_error: 0.9796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.7535, kappa: 0.5026, kb_relative_information_score: 1124.6894, mean_absolute_error: 0.3671, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7547, predictive_accuracy: 0.7547, prior_entropy: 0.9948, recall: 0.7547, relative_absolute_error: 0.7394, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8395, scimark_benchmark: 1814.9465, usercpu_time_millis: 292.494, usercpu_time_millis_testing: 1.161, usercpu_time_millis_training: 291.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.7593, kappa: 0.5143, kb_relative_information_score: 1038.6885, mean_absolute_error: 0.3786, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7621, predictive_accuracy: 0.7611, prior_entropy: 0.9948, recall: 0.7611, relative_absolute_error: 0.7627, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8373, scimark_benchmark: 1810.1529, usercpu_time_millis: 280.279, usercpu_time_millis_testing: 1.94, usercpu_time_millis_training: 278.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 831.1825, mean_absolute_error: 0.4054, 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: 0.8165, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.8806, scimark_benchmark: 1753.73, usercpu_time_millis: 276.069, usercpu_time_millis_testing: 1.551, usercpu_time_millis_training: 274.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7644, f_measure: 0.6718, kappa: 0.3415, kb_relative_information_score: 322.9347, mean_absolute_error: 0.4637, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6833, predictive_accuracy: 0.6796, prior_entropy: 0.9948, recall: 0.6796, relative_absolute_error: 0.934, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9428, scimark_benchmark: 1853.9121, usercpu_time_millis: 7.546, usercpu_time_millis_testing: 0.786, usercpu_time_millis_training: 6.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7115, kappa: 0.4181, kb_relative_information_score: 594.7149, mean_absolute_error: 0.4327, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7114, predictive_accuracy: 0.7121, prior_entropy: 0.9948, recall: 0.7121, relative_absolute_error: 0.8717, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.449, root_relative_squared_error: 0.9011, scimark_benchmark: 1852.0126, usercpu_time_millis: 4.95, usercpu_time_millis_testing: 0.626, usercpu_time_millis_training: 4.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.7466, kappa: 0.4889, kb_relative_information_score: 792.9221, mean_absolute_error: 0.4101, 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: 0.826, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8713, scimark_benchmark: 1849.9572, usercpu_time_millis: 90.599, usercpu_time_millis_testing: 1.869, usercpu_time_millis_training: 88.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.7671, kappa: 0.5301, kb_relative_information_score: 1228.9364, mean_absolute_error: 0.3521, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7685, predictive_accuracy: 0.7683, prior_entropy: 0.9948, recall: 0.7683, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8187, scimark_benchmark: 1857.1082, usercpu_time_millis: 119.995, usercpu_time_millis_testing: 0.822, usercpu_time_millis_training: 119.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: 0.1468, 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: 788.1466, usercpu_time_millis: 13.91, usercpu_time_millis_testing: 1.91, usercpu_time_millis_training: 12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.7965, kappa: 0.5895, kb_relative_information_score: 1310.3388, mean_absolute_error: 0.3418, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7966, predictive_accuracy: 0.7969, prior_entropy: 0.9948, recall: 0.7969, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.7935, scimark_benchmark: 1797.7696, usercpu_time_millis: 107.111, usercpu_time_millis_testing: 1.235, usercpu_time_millis_training: 105.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0409, 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: 1852.472, usercpu_time_millis: 7.889, usercpu_time_millis_testing: 1.307, usercpu_time_millis_training: 6.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7574, kappa: 0.5106, kb_relative_information_score: 965.8764, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7575, predictive_accuracy: 0.7579, prior_entropy: 0.9948, recall: 0.7579, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8439, scimark_benchmark: 790.2522, usercpu_time_millis: 19.641, usercpu_time_millis_testing: 1.456, usercpu_time_millis_training: 18.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7622, kappa: 0.5203, kb_relative_information_score: 1388.726, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7623, predictive_accuracy: 0.7627, prior_entropy: 0.9948, recall: 0.7627, relative_absolute_error: 0.6631, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7558, kappa: 0.5073, kb_relative_information_score: 934.8997, mean_absolute_error: 0.3922, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7585, predictive_accuracy: 0.7577, prior_entropy: 0.9948, recall: 0.7577, relative_absolute_error: 0.79, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8506, scimark_benchmark: 1841.0312, usercpu_time_millis: 164.225, usercpu_time_millis_testing: 1.934, usercpu_time_millis_training: 162.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7817, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 838.4459, mean_absolute_error: 0.4045, 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: 0.8148, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.8801, scimark_benchmark: 1855.0231, usercpu_time_millis: 264.297, usercpu_time_millis_testing: 1.615, usercpu_time_millis_training: 262.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: 0.0019, 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: 1847.3406, usercpu_time_millis: 5.2, usercpu_time_millis_testing: 0.757, usercpu_time_millis_training: 4.443,

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