OpenML
Supervised Classification on monks-problems-1

Supervised Classification on monks-problems-1

Task 146064 Supervised Classification monks-problems-1 239379 runs submitted
0 likes downloaded by 5 people , 6 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

239379 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7102, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 164.8136, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7314, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8312, scimark_benchmark: 1868.1832, usercpu_time_millis: 0.59, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 0.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 447.56, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.309, scimark_benchmark: 1763.127, usercpu_time_millis: 3.457, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 3.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8377, kappa: 0.6835, kb_relative_information_score: 154.6183, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8798, predictive_accuracy: 0.8417, prior_entropy: 1, recall: 0.8417, relative_absolute_error: 0.7741, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.398, root_relative_squared_error: 0.7959, scimark_benchmark: 1767.9383, usercpu_time_millis: 1.423, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 1.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.7463, kappa: 0.5216, kb_relative_information_score: 178.4557, mean_absolute_error: 0.3621, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8382, predictive_accuracy: 0.7608, prior_entropy: 1, recall: 0.7608, relative_absolute_error: 0.7242, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7746, scimark_benchmark: 1851.4874, usercpu_time_millis: 1.068, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 0.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.7505, kappa: 0.5288, kb_relative_information_score: 116.8082, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8399, predictive_accuracy: 0.7644, prior_entropy: 1, recall: 0.7644, relative_absolute_error: 0.8315, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.425, root_relative_squared_error: 0.85, scimark_benchmark: 1859.3512, usercpu_time_millis: 0.457, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 416.6017, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.3014, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.3848, scimark_benchmark: 1865.6214, usercpu_time_millis: 1.783, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 1.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9477, kappa: 0.8957, kb_relative_information_score: 325.3576, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9528, predictive_accuracy: 0.9478, prior_entropy: 1, recall: 0.9478, relative_absolute_error: 0.4647, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.5657, scimark_benchmark: 1866.8117, usercpu_time_millis: 1.249, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 1.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.4932, kappa: -0.0036, kb_relative_information_score: -0.0058, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4981, predictive_accuracy: 0.4982, prior_entropy: 1, recall: 0.4982, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1862.9991, usercpu_time_millis: 0.709, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 0.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9676, kappa: 0.9353, kb_relative_information_score: 305.1529, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9696, predictive_accuracy: 0.9676, prior_entropy: 1, recall: 0.9676, relative_absolute_error: 0.514, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.5751, scimark_benchmark: 1866.2865, usercpu_time_millis: 3.562, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 3.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 486.0014, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1605, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.2215, scimark_benchmark: 1856.2663, usercpu_time_millis: 0.712, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 0.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.4774, kappa: -0.0036, kb_relative_information_score: -0.0055, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4979, predictive_accuracy: 0.4982, prior_entropy: 1, recall: 0.4982, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1859.3512, usercpu_time_millis: 1.106, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 0.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7026, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.3858, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8213, scimark_benchmark: 1864.9656, usercpu_time_millis: 0.619, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9712, kappa: 0.9424, kb_relative_information_score: 350.12, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9728, predictive_accuracy: 0.9712, prior_entropy: 1, recall: 0.9712, relative_absolute_error: 0.4224, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.5193, scimark_benchmark: 1864.9656, usercpu_time_millis: 0.119, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 134.8916, mean_absolute_error: 0.3983, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8342, scimark_benchmark: 1823.9243, usercpu_time_millis: 0.441, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 0.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 378.592, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1, recall: 0.9982, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.455, scimark_benchmark: 1857.7844, usercpu_time_millis: 3.36, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 2.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9038, kappa: 0.8094, kb_relative_information_score: 176.227, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9199, predictive_accuracy: 0.9047, prior_entropy: 1, recall: 0.9047, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.7638, scimark_benchmark: 1744.2727, usercpu_time_millis: 2.809, usercpu_time_millis_testing: 0.466, usercpu_time_millis_training: 2.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7339, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 77.444, mean_absolute_error: 0.4453, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9049, scimark_benchmark: 1746.9768, usercpu_time_millis: 0.634, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 0.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9167, kappa: 0.8345, kb_relative_information_score: 182.241, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.929, predictive_accuracy: 0.9173, prior_entropy: 1, recall: 0.9173, relative_absolute_error: 0.7314, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.7547, scimark_benchmark: 1856.7467, usercpu_time_millis: 2.692, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 2.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 436.7077, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2638, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.3335, scimark_benchmark: 1817.063, usercpu_time_millis: 4.654, usercpu_time_millis_testing: 0.494, usercpu_time_millis_training: 4.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 155.9698, mean_absolute_error: 0.3753, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8321, scimark_benchmark: 1754.4095, usercpu_time_millis: 0.777, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 0.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.8964, kappa: 0.795, kb_relative_information_score: 171.0222, mean_absolute_error: 0.3743, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9149, predictive_accuracy: 0.8975, prior_entropy: 1, recall: 0.8975, relative_absolute_error: 0.7485, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7718, scimark_benchmark: 1828.0629, usercpu_time_millis: 1.555, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 1.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 490.4792, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.2183, scimark_benchmark: 1865.0934, usercpu_time_millis: 0.418, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9838, kappa: 0.9676, kb_relative_information_score: 362.3776, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9843, predictive_accuracy: 0.9838, prior_entropy: 1, recall: 0.9838, relative_absolute_error: 0.4011, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.4957, scimark_benchmark: 1863.5242, usercpu_time_millis: 0.514, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 521.4026, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0809, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0687, root_relative_squared_error: 0.1375, scimark_benchmark: 1868.2531, usercpu_time_millis: 4.689, usercpu_time_millis_testing: 0.487, usercpu_time_millis_training: 4.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.891, kappa: 0.7842, kb_relative_information_score: 253.4329, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9087, predictive_accuracy: 0.8921, prior_entropy: 1, recall: 0.8921, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.6655, scimark_benchmark: 1752.2791, usercpu_time_millis: 2.472, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 2.103,
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: 0.9998, f_measure: 0.8908, kappa: 0.7842, kb_relative_information_score: 239.8367, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9112, predictive_accuracy: 0.8921, prior_entropy: 1, recall: 0.8921, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.342, root_relative_squared_error: 0.6839, scimark_benchmark: 1861.1115, usercpu_time_millis: 2.797, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 2.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7271, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 167.5094, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7271, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8265, scimark_benchmark: 2126.2891, usercpu_time_millis: 1.025, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 425.6036, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.283, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.3682, scimark_benchmark: 1865.7826, usercpu_time_millis: 3.06, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 2.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9002, kappa: 0.8022, kb_relative_information_score: 171.7501, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9162, predictive_accuracy: 0.9011, prior_entropy: 1, recall: 0.9011, relative_absolute_error: 0.7478, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7705, scimark_benchmark: 1863.9124, usercpu_time_millis: 0.879, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 0.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 371.7081, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1, recall: 0.9982, relative_absolute_error: 0.3939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.4537, scimark_benchmark: 1863.5242, usercpu_time_millis: 4.166, usercpu_time_millis_testing: 0.495, usercpu_time_millis_training: 3.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 488.512, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.2255, scimark_benchmark: 1866.8117, usercpu_time_millis: 2.182, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 1.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9856, kappa: 0.9712, kb_relative_information_score: 363.3729, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.986, predictive_accuracy: 0.9856, prior_entropy: 1, recall: 0.9856, relative_absolute_error: 0.3978, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.249, root_relative_squared_error: 0.4981, scimark_benchmark: 1865.0934, usercpu_time_millis: 2.533, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 2.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 185.0046, mean_absolute_error: 0.3495, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.699, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.397, root_relative_squared_error: 0.794, scimark_benchmark: 1868.1832, usercpu_time_millis: 1.253, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 1.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 214.5282, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6368, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.7777, scimark_benchmark: 1863.066, usercpu_time_millis: 1.037, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 0.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7179, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 38.5857, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.9487, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4759, root_relative_squared_error: 0.9519, scimark_benchmark: 1833.1675, usercpu_time_millis: 1.292, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 1.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7238, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 39.6641, mean_absolute_error: 0.4736, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9506, scimark_benchmark: 1866.6959, usercpu_time_millis: 1.228, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 1.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 159.4187, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7431, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8313, scimark_benchmark: 1830.018, usercpu_time_millis: 0.665, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.902, kappa: 0.8058, kb_relative_information_score: 174.6928, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9187, predictive_accuracy: 0.9029, prior_entropy: 1, recall: 0.9029, relative_absolute_error: 0.7431, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7662, scimark_benchmark: 1829.5151, usercpu_time_millis: 2.555, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 2.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 393.2963, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1, recall: 0.9982, relative_absolute_error: 0.3441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4364, scimark_benchmark: 1829.0694, usercpu_time_millis: 0.848, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 0.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9892, kappa: 0.9784, kb_relative_information_score: 372.1402, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9894, predictive_accuracy: 0.9892, prior_entropy: 1, recall: 0.9892, relative_absolute_error: 0.382, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.481, scimark_benchmark: 1853.454, usercpu_time_millis: 2.634, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 2.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9856, kappa: 0.9712, kb_relative_information_score: 361.4417, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.986, predictive_accuracy: 0.9856, prior_entropy: 1, recall: 0.9856, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.4993, scimark_benchmark: 1820.4809, usercpu_time_millis: 3.18, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 2.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.8102, kappa: 0.6331, kb_relative_information_score: 257.0007, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8658, predictive_accuracy: 0.8165, prior_entropy: 1, recall: 0.8165, relative_absolute_error: 0.5764, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.342, root_relative_squared_error: 0.684, scimark_benchmark: 1853.454, usercpu_time_millis: 1.77, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 1.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9093, kappa: 0.8201, kb_relative_information_score: 178.3158, mean_absolute_error: 0.3685, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9238, predictive_accuracy: 0.9101, prior_entropy: 1, recall: 0.9101, relative_absolute_error: 0.7371, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.7611, scimark_benchmark: 1807.6532, usercpu_time_millis: 1.56, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 1.29,
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: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 476.4067, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1793, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.2528, scimark_benchmark: 1849.8294, usercpu_time_millis: 0.595, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 148.5261, mean_absolute_error: 0.3845, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7689, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8262, scimark_benchmark: 1811.5213, usercpu_time_millis: 0.616, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 0.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.8741, kappa: 0.7518, kb_relative_information_score: 167.0477, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8991, predictive_accuracy: 0.8759, prior_entropy: 1, recall: 0.8759, relative_absolute_error: 0.7544, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.7784, scimark_benchmark: 1815.1723, usercpu_time_millis: 0.143, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, f_measure: 0.4912, kappa: -0.0072, kb_relative_information_score: -0.0113, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4963, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1749.3745, usercpu_time_millis: 1.173, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 0.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.4932, kappa: -0.0036, kb_relative_information_score: -0.0021, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4981, predictive_accuracy: 0.4982, prior_entropy: 1, recall: 0.4982, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1858.6775, usercpu_time_millis: 0.463, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 474.6436, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1831, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.2569, scimark_benchmark: 1863.8517, usercpu_time_millis: 4.937, usercpu_time_millis_testing: 0.571, usercpu_time_millis_training: 4.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4932, kappa: -0.0036, kb_relative_information_score: -0.0166, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4981, predictive_accuracy: 0.4982, prior_entropy: 1, recall: 0.4982, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1825.8918, usercpu_time_millis: 0.643, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 157.2369, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.819, scimark_benchmark: 1834.4481, usercpu_time_millis: 0.657, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.4774, kappa: -0.0036, kb_relative_information_score: -0.0101, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4979, predictive_accuracy: 0.4982, prior_entropy: 1, recall: 0.4982, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1867.1999, usercpu_time_millis: 0.669, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5018, f_measure: 0.4949, kb_relative_information_score: 0.0041, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1867.725, usercpu_time_millis: 1.285, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 1.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9118, kappa: 0.8237, kb_relative_information_score: 393.1131, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9125, predictive_accuracy: 0.9119, prior_entropy: 1, recall: 0.9119, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.4995, scimark_benchmark: 1826.4744, usercpu_time_millis: 2.917, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 2.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 501.6873, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1261, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.1817, scimark_benchmark: 1858.3397, usercpu_time_millis: 1.245, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 1.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 487.1509, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.2177, scimark_benchmark: 1855.2567, usercpu_time_millis: 0.868, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 0.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 469.8406, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1324, root_relative_squared_error: 0.2647, scimark_benchmark: 1833.1675, usercpu_time_millis: 3.68, usercpu_time_millis_testing: 0.455, usercpu_time_millis_training: 3.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, f_measure: 0.4484, kappa: -0.0036, kb_relative_information_score: -0.0125, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4972, predictive_accuracy: 0.4982, prior_entropy: 1, recall: 0.4982, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1853.3248, usercpu_time_millis: 1.103, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 0.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4964, kappa: -0.0072, kb_relative_information_score: -0.0131, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4964, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1850.1514, usercpu_time_millis: 1.2, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9928, kb_relative_information_score: 384.3308, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1, recall: 0.9964, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.4577, scimark_benchmark: 1839.7733, usercpu_time_millis: 1.037, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 0.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 431.1689, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2726, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.177, root_relative_squared_error: 0.3541, scimark_benchmark: 1832.5535, usercpu_time_millis: 0.682, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.4774, kappa: -0.0036, kb_relative_information_score: -0.0172, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4979, predictive_accuracy: 0.4982, prior_entropy: 1, recall: 0.4982, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1827.0249, usercpu_time_millis: 0.643, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 0.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.982, kappa: 0.964, kb_relative_information_score: 346.189, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9826, predictive_accuracy: 0.982, prior_entropy: 1, recall: 0.982, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.5292, scimark_benchmark: 1828.4165, usercpu_time_millis: 0.409, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.8531, kappa: 0.7122, kb_relative_information_score: 277.6889, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8883, predictive_accuracy: 0.8561, prior_entropy: 1, recall: 0.8561, relative_absolute_error: 0.5389, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6565, scimark_benchmark: 1834.5617, usercpu_time_millis: 0.305, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9112, kappa: 0.8237, kb_relative_information_score: 295.4938, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9251, predictive_accuracy: 0.9119, prior_entropy: 1, recall: 0.9119, relative_absolute_error: 0.5143, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6187, scimark_benchmark: 1754.8742, usercpu_time_millis: 2.584, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 2.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.8022, kappa: 0.6187, kb_relative_information_score: 267.3928, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.862, predictive_accuracy: 0.8094, prior_entropy: 1, recall: 0.8094, relative_absolute_error: 0.5555, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.673, scimark_benchmark: 1859.2172, usercpu_time_millis: 1.336, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 1.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9093, kappa: 0.8201, kb_relative_information_score: 177.1654, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9238, predictive_accuracy: 0.9101, prior_entropy: 1, recall: 0.9101, relative_absolute_error: 0.7395, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7623, scimark_benchmark: 1725.9313, usercpu_time_millis: 3.123, usercpu_time_millis_testing: 0.462, usercpu_time_millis_training: 2.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 430.4883, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1, recall: 0.9982, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3767, scimark_benchmark: 2027.2333, usercpu_time_millis: 2.493, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 2.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 167.6612, mean_absolute_error: 0.3634, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7268, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8265, scimark_benchmark: 1866.6776, usercpu_time_millis: 0.956, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 0.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 401.8542, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.3286, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.4189, scimark_benchmark: 1821.2303, usercpu_time_millis: 0.488, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.8945, kappa: 0.7914, kb_relative_information_score: 166.1489, mean_absolute_error: 0.3785, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9137, predictive_accuracy: 0.8957, prior_entropy: 1, recall: 0.8957, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.7785, scimark_benchmark: 1858.1182, usercpu_time_millis: 2.494, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 2.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, f_measure: 0.4751, kappa: -0.0072, kb_relative_information_score: -0.0145, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4957, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 2000.4725, usercpu_time_millis: 0.906, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 0.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9928, kb_relative_information_score: 433.213, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1, recall: 0.9964, relative_absolute_error: 0.2674, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3529, scimark_benchmark: 1856.3001, usercpu_time_millis: 0.416, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.8945, kappa: 0.7914, kb_relative_information_score: 299.8779, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9137, predictive_accuracy: 0.8957, prior_entropy: 1, recall: 0.8957, relative_absolute_error: 0.5011, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.6214, scimark_benchmark: 2009.9664, usercpu_time_millis: 2.205, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 1.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 177.5075, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.705, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8269, scimark_benchmark: 1677.4334, usercpu_time_millis: 1.353, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 1.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, f_measure: 0.4912, kappa: -0.0072, kb_relative_information_score: -0.0174, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4963, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1866.2865, usercpu_time_millis: 0.335, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 486.6198, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1586, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.2229, scimark_benchmark: 1855.7733, usercpu_time_millis: 4.878, usercpu_time_millis_testing: 0.582, usercpu_time_millis_training: 4.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 227.5133, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6183, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7434, scimark_benchmark: 1859.035, usercpu_time_millis: 1.521, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 1.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 207.4281, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7746, scimark_benchmark: 1735.7783, usercpu_time_millis: 1.9, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 1.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 520.1552, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0839, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.1393, scimark_benchmark: 2169.8099, usercpu_time_millis: 4.066, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 3.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8815, kappa: 0.7662, kb_relative_information_score: 168.1244, mean_absolute_error: 0.3766, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9052, predictive_accuracy: 0.8831, prior_entropy: 1, recall: 0.8831, relative_absolute_error: 0.7532, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.7761, scimark_benchmark: 1865.5486, usercpu_time_millis: 2.33, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 2.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7304, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 39.9287, mean_absolute_error: 0.4734, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.9468, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4751, root_relative_squared_error: 0.9502, scimark_benchmark: 1863.066, usercpu_time_millis: 1.192, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 0.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 118.9631, mean_absolute_error: 0.4115, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.823, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8551, scimark_benchmark: 1864.2071, usercpu_time_millis: 1.401, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 1.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 446.5434, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.3156, scimark_benchmark: 2081.6576, usercpu_time_millis: 1.308, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 1.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9928, kappa: 0.9856, kb_relative_information_score: 348.4368, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9929, predictive_accuracy: 0.9928, prior_entropy: 1, recall: 0.9928, relative_absolute_error: 0.4363, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.4992, scimark_benchmark: 1866.2224, usercpu_time_millis: 0.517, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 0.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 462.5414, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2103, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.2766, scimark_benchmark: 1853.0023, usercpu_time_millis: 4.843, usercpu_time_millis_testing: 0.57, usercpu_time_millis_training: 4.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.964, kappa: 0.9281, kb_relative_information_score: 344.1325, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9644, predictive_accuracy: 0.964, prior_entropy: 1, recall: 0.964, relative_absolute_error: 0.4285, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.268, root_relative_squared_error: 0.5359, scimark_benchmark: 1820.1567, usercpu_time_millis: 4.62, usercpu_time_millis_testing: 0.684, usercpu_time_millis_training: 3.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9222, kappa: 0.8453, kb_relative_information_score: 304.2645, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.933, predictive_accuracy: 0.9227, prior_entropy: 1, recall: 0.9227, relative_absolute_error: 0.4999, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.6034, scimark_benchmark: 1864.6665, usercpu_time_millis: 1.698, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 1.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, f_measure: 0.4964, kappa: -0.0072, kb_relative_information_score: -0.0102, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4964, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1771.3321, usercpu_time_millis: 0.702, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 0.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 373.6646, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1, recall: 0.9982, relative_absolute_error: 0.3907, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.4489, scimark_benchmark: 1868.1196, usercpu_time_millis: 4.716, usercpu_time_millis_testing: 0.515, usercpu_time_millis_training: 4.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.4949, kb_relative_information_score: -0.0266, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001, scimark_benchmark: 1737.7783, usercpu_time_millis: 0.392, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 0.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9928, kb_relative_information_score: 415.7037, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1, recall: 0.9964, relative_absolute_error: 0.3012, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.196, root_relative_squared_error: 0.3919, scimark_benchmark: 1869.4908, usercpu_time_millis: 0.378, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 408.2327, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.3179, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.4011, scimark_benchmark: 2172.8394, usercpu_time_millis: 1.212, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 0.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 438.8765, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2584, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.3335, scimark_benchmark: 1824.3673, usercpu_time_millis: 2.32, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 2.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7602, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 53.4579, mean_absolute_error: 0.4636, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.9333, scimark_benchmark: 1737.7783, usercpu_time_millis: 0.476, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9075, kappa: 0.8165, kb_relative_information_score: 303.2433, mean_absolute_error: 0.2492, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9225, predictive_accuracy: 0.9083, prior_entropy: 1, recall: 0.9083, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.6106, scimark_benchmark: 1709.0059, usercpu_time_millis: 3.2, usercpu_time_millis_testing: 0.827, usercpu_time_millis_training: 2.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.4932, kappa: -0.0036, kb_relative_information_score: -0.0018, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4981, predictive_accuracy: 0.4982, prior_entropy: 1, recall: 0.4982, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1721.2989, usercpu_time_millis: 1.582, usercpu_time_millis_testing: 0.546, usercpu_time_millis_training: 1.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9748, kappa: 0.9496, kb_relative_information_score: 339.8155, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.976, predictive_accuracy: 0.9748, prior_entropy: 1, recall: 0.9748, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.5292, scimark_benchmark: 1863.9794, usercpu_time_millis: 0.593, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 0.393,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs