OpenML
Supervised Classification on electricity

Supervised Classification on electricity

Task 146012 Supervised Classification electricity 25374 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.6947, kappa: 0.3813, kb_relative_information_score: 12269.8438, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6995, predictive_accuracy: 0.6932, prior_entropy: 0.9835, recall: 0.6932, relative_absolute_error: 0.7493, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8622, scimark_benchmark: 1857.1082, usercpu_time_millis: 246.996, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 246.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 0.581, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.738, kappa: 0.4624, kb_relative_information_score: 10504.431, mean_absolute_error: 0.3915, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7552, predictive_accuracy: 0.7476, prior_entropy: 0.9835, recall: 0.7476, relative_absolute_error: 0.8013, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4245, root_relative_squared_error: 0.8588, scimark_benchmark: 1852.4008, usercpu_time_millis: 0.988, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7538, kappa: 0.4934, kb_relative_information_score: 15368.7037, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7611, predictive_accuracy: 0.7592, prior_entropy: 0.9835, recall: 0.7592, relative_absolute_error: 0.6903, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1838.1242, usercpu_time_millis: 1.182, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 1.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.7528, kappa: 0.4915, kb_relative_information_score: 14348.252, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7624, predictive_accuracy: 0.7591, prior_entropy: 0.9835, recall: 0.7591, relative_absolute_error: 0.7152, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8268, scimark_benchmark: 1834.1796, usercpu_time_millis: 0.995, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.726, kappa: 0.4379, kb_relative_information_score: 13870.6714, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7256, predictive_accuracy: 0.7268, prior_entropy: 0.9835, recall: 0.7268, relative_absolute_error: 0.7185, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8419, scimark_benchmark: 1208.0447, usercpu_time_millis: 237.685, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 237.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1733.7613, usercpu_time_millis: 0.621, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.7359, kappa: 0.4598, kb_relative_information_score: 9339.5487, mean_absolute_error: 0.4041, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7607, predictive_accuracy: 0.748, prior_entropy: 0.9835, recall: 0.748, relative_absolute_error: 0.827, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.8723, scimark_benchmark: 1729.5356, usercpu_time_millis: 0.88, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1730.1903, usercpu_time_millis: 0.741, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1850.2875, usercpu_time_millis: 0.584, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1139.6499, usercpu_time_millis: 1.035, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 0.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.7417, kappa: 0.4712, kb_relative_information_score: 9742.3578, mean_absolute_error: 0.4003, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7648, predictive_accuracy: 0.7529, prior_entropy: 0.9835, recall: 0.7529, relative_absolute_error: 0.8193, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8686, scimark_benchmark: 1852.355, usercpu_time_millis: 0.634, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1857.0384, usercpu_time_millis: 0.581, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1852.0126, usercpu_time_millis: 0.626, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1844.2218, usercpu_time_millis: 0.604, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.7623, kappa: 0.5125, kb_relative_information_score: 14733.8624, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7823, predictive_accuracy: 0.7713, prior_entropy: 0.9835, recall: 0.7713, relative_absolute_error: 0.7053, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8115, scimark_benchmark: 1848.2024, usercpu_time_millis: 5030.497, usercpu_time_millis_testing: 27.526, usercpu_time_millis_training: 5002.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.4581, kappa: 0.0459, kb_relative_information_score: 1919.946, mean_absolute_error: 0.4737, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7529, predictive_accuracy: 0.5924, prior_entropy: 0.9835, recall: 0.5924, relative_absolute_error: 0.9695, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4801, root_relative_squared_error: 0.9714, scimark_benchmark: 1845.2509, usercpu_time_millis: 0.671, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1167.484, usercpu_time_millis: 1.031, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 0.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7473, kappa: 0.4809, kb_relative_information_score: 12192.0855, mean_absolute_error: 0.3737, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7614, predictive_accuracy: 0.7554, prior_entropy: 0.9835, recall: 0.7554, relative_absolute_error: 0.7649, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8418, scimark_benchmark: 1201.9885, usercpu_time_millis: 1.72, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 1.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1733.299, usercpu_time_millis: 0.622, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1856.0123, usercpu_time_millis: 0.58, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.7422, kappa: 0.4716, kb_relative_information_score: 10177.8017, mean_absolute_error: 0.3955, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7628, predictive_accuracy: 0.7526, prior_entropy: 0.9835, recall: 0.7526, relative_absolute_error: 0.8095, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.864, scimark_benchmark: 1252.4169, usercpu_time_millis: 1.196, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 1.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1734.6706, usercpu_time_millis: 0.766, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.7544, kappa: 0.4945, kb_relative_information_score: 15480.2585, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7612, predictive_accuracy: 0.7596, prior_entropy: 0.9835, recall: 0.7596, relative_absolute_error: 0.6874, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8212, scimark_benchmark: 1853.3841, usercpu_time_millis: 1.258, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 1.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7542, kappa: 0.4942, kb_relative_information_score: 15457.888, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7611, predictive_accuracy: 0.7595, prior_entropy: 0.9835, recall: 0.7595, relative_absolute_error: 0.688, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8214, scimark_benchmark: 1858.0974, usercpu_time_millis: 1.403, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 1.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1140.8994, usercpu_time_millis: 1.051, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 0.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1852.4707, usercpu_time_millis: 0.62, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7514, kappa: 0.4888, kb_relative_information_score: 13565.8081, mean_absolute_error: 0.3585, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7624, predictive_accuracy: 0.7583, prior_entropy: 0.9835, recall: 0.7583, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8323, scimark_benchmark: 1846.6572, usercpu_time_millis: 0.876, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.7536, kappa: 0.493, kb_relative_information_score: 15123.0592, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7615, predictive_accuracy: 0.7592, prior_entropy: 0.9835, recall: 0.7592, relative_absolute_error: 0.6964, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8228, scimark_benchmark: 1836.7631, usercpu_time_millis: 1.056, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 0.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1834.5196, usercpu_time_millis: 0.616, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.6605, kappa: 0.3259, kb_relative_information_score: 10499.9818, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6792, predictive_accuracy: 0.6591, prior_entropy: 0.9835, recall: 0.6591, relative_absolute_error: 0.7842, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8825, scimark_benchmark: 1733.3606, usercpu_time_millis: 408.528, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 408.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1162.8795, usercpu_time_millis: 0.993, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 0.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1853.3841, usercpu_time_millis: 0.582, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8243, f_measure: 0.7505, kappa: 0.4868, kb_relative_information_score: 13953.5584, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7603, predictive_accuracy: 0.757, prior_entropy: 0.9835, recall: 0.757, relative_absolute_error: 0.7241, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.828, scimark_benchmark: 1100.1689, usercpu_time_millis: 2.335, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 2.183,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.6791, kappa: 0.3628, kb_relative_information_score: 5488.0196, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7631, predictive_accuracy: 0.7123, prior_entropy: 0.9835, recall: 0.7123, relative_absolute_error: 0.9057, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9198, scimark_benchmark: 1121.3795, usercpu_time_millis: 1.236, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 1.08,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.8459, kappa: 0.6844, kb_relative_information_score: 22991.1324, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8458, predictive_accuracy: 0.846, prior_entropy: 0.9835, recall: 0.846, relative_absolute_error: 0.5241, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7181, scimark_benchmark: 1853.9121, usercpu_time_millis: 5315.164, usercpu_time_millis_testing: 34.771, usercpu_time_millis_training: 5280.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1839.5353, usercpu_time_millis: 0.62, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1847.7442, usercpu_time_millis: 0.592, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.7439, kappa: 0.4745, kb_relative_information_score: 11042.5686, mean_absolute_error: 0.3862, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7614, predictive_accuracy: 0.7533, prior_entropy: 0.9835, recall: 0.7533, relative_absolute_error: 0.7904, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8545, scimark_benchmark: 1853.3841, usercpu_time_millis: 0.81, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.7526, kappa: 0.4911, kb_relative_information_score: 14646.6858, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7615, predictive_accuracy: 0.7587, prior_entropy: 0.9835, recall: 0.7587, relative_absolute_error: 0.7079, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8245, scimark_benchmark: 1758.8558, usercpu_time_millis: 1.045, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1854.4431, usercpu_time_millis: 0.578, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.7495, kappa: 0.4852, kb_relative_information_score: 12775.0524, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7624, predictive_accuracy: 0.7571, prior_entropy: 0.9835, recall: 0.7571, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8372, scimark_benchmark: 1760.563, usercpu_time_millis: 1.033, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.7471, kappa: 0.48, kb_relative_information_score: 12975.024, mean_absolute_error: 0.3648, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7584, predictive_accuracy: 0.7543, prior_entropy: 0.9835, recall: 0.7543, relative_absolute_error: 0.7465, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8352, scimark_benchmark: 1893.94, usercpu_time_millis: 1.15, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 1.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.4204, kb_relative_information_score: 12.2683, mean_absolute_error: 0.4885, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9998, scimark_benchmark: 1850.9434, usercpu_time_millis: 0.596, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7395, kappa: 0.4661, kb_relative_information_score: 10218.2441, mean_absolute_error: 0.3948, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7593, predictive_accuracy: 0.7499, prior_entropy: 0.9835, recall: 0.7499, relative_absolute_error: 0.8079, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.862, scimark_benchmark: 1858.6076, usercpu_time_millis: 0.844, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1849.0944, usercpu_time_millis: 1.136, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 1.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 0.598, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.7388, kappa: 0.4669, kb_relative_information_score: 8756.8365, mean_absolute_error: 0.4109, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7694, predictive_accuracy: 0.7522, prior_entropy: 0.9835, recall: 0.7522, relative_absolute_error: 0.8409, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8789, scimark_benchmark: 1733.7613, usercpu_time_millis: 0.696, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1741.4094, usercpu_time_millis: 0.6, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1846.4335, usercpu_time_millis: 0.627, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7804, f_measure: 0.4233, kappa: 0.0035, kb_relative_information_score: 351.4186, mean_absolute_error: 0.486, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7561, predictive_accuracy: 0.5767, prior_entropy: 0.9835, recall: 0.5767, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4917, root_relative_squared_error: 0.9948, scimark_benchmark: 1199.2866, usercpu_time_millis: 1.069, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 0.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1868.7112, usercpu_time_millis: 0.584, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1760.9084, usercpu_time_millis: 0.606, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1844.7528, usercpu_time_millis: 0.6, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.7496, kappa: 0.4853, kb_relative_information_score: 12699.9777, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7624, predictive_accuracy: 0.7572, prior_entropy: 0.9835, recall: 0.7572, relative_absolute_error: 0.7536, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8389, scimark_benchmark: 1757.6392, usercpu_time_millis: 0.866, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.7439, kappa: 0.4745, kb_relative_information_score: 11026.923, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7614, predictive_accuracy: 0.7533, prior_entropy: 0.9835, recall: 0.7533, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.8548, scimark_benchmark: 1757.5081, usercpu_time_millis: 0.801, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1898.3738, usercpu_time_millis: 0.552, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7742, f_measure: 0.6457, kappa: 0.3023, kb_relative_information_score: 4606.7823, mean_absolute_error: 0.4494, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7356, predictive_accuracy: 0.6867, prior_entropy: 0.9835, recall: 0.6867, relative_absolute_error: 0.9198, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9325, scimark_benchmark: 1853.454, usercpu_time_millis: 0.761, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.752, kappa: 0.4899, kb_relative_information_score: 14301.3358, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7616, predictive_accuracy: 0.7584, prior_entropy: 0.9835, recall: 0.7584, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.8264, scimark_benchmark: 1845.264, usercpu_time_millis: 1.028, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.7499, kappa: 0.486, kb_relative_information_score: 12964.7613, mean_absolute_error: 0.3652, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7623, predictive_accuracy: 0.7573, prior_entropy: 0.9835, recall: 0.7573, relative_absolute_error: 0.7474, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8356, scimark_benchmark: 1183.9474, usercpu_time_millis: 1.64, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 1.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.7528, kappa: 0.4913, kb_relative_information_score: 14997.6598, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7604, predictive_accuracy: 0.7584, prior_entropy: 0.9835, recall: 0.7584, relative_absolute_error: 0.6991, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8228, scimark_benchmark: 1731.5003, usercpu_time_millis: 1.354, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 1.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1852.5406, usercpu_time_millis: 0.582, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.7529, kappa: 0.4917, kb_relative_information_score: 14596.1175, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.762, predictive_accuracy: 0.759, prior_entropy: 0.9835, recall: 0.759, relative_absolute_error: 0.7092, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8251, scimark_benchmark: 1849.7595, usercpu_time_millis: 0.976, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.5621, kappa: 0.1825, kb_relative_information_score: 3475.588, mean_absolute_error: 0.4606, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7492, predictive_accuracy: 0.6431, prior_entropy: 0.9835, recall: 0.6431, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9484, scimark_benchmark: 1852.0126, usercpu_time_millis: 0.679, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1852.9988, usercpu_time_millis: 0.578, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.505,

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