Task
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: 0.8024, f_measure: 0.7512, kappa: 0.4898, kb_relative_information_score: 11039.0124, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7715, predictive_accuracy: 0.7609, prior_entropy: 0.9835, recall: 0.7609, relative_absolute_error: 0.7965, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.855, scimark_benchmark: 1374.6156, usercpu_time_millis: 22.749, usercpu_time_millis_testing: 1.418, usercpu_time_millis_training: 21.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.8526, kappa: 0.6972, kb_relative_information_score: 21834.3448, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8532, predictive_accuracy: 0.8533, prior_entropy: 0.9835, recall: 0.8533, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.679, scimark_benchmark: 1370.8661, usercpu_time_millis: 342.52, usercpu_time_millis_testing: 34.339, usercpu_time_millis_training: 308.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.8987, kappa: 0.7924, kb_relative_information_score: 29243.6224, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8988, predictive_accuracy: 0.8989, prior_entropy: 0.9835, recall: 0.8989, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.562, scimark_benchmark: 1377.6012, usercpu_time_millis: 184.808, usercpu_time_millis_testing: 5.81, usercpu_time_millis_training: 178.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9065, kappa: 0.8083, kb_relative_information_score: 30255.4402, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9064, predictive_accuracy: 0.9066, prior_entropy: 0.9835, recall: 0.9066, relative_absolute_error: 0.362, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2682, root_relative_squared_error: 0.5427, scimark_benchmark: 1379.9733, usercpu_time_millis: 664.338, usercpu_time_millis_testing: 29.071, usercpu_time_millis_training: 635.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.7569, kappa: 0.5012, kb_relative_information_score: 13750.6777, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7754, predictive_accuracy: 0.7658, prior_entropy: 0.9835, recall: 0.7658, relative_absolute_error: 0.7363, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8185, scimark_benchmark: 1369.472, usercpu_time_millis: 125.835, usercpu_time_millis_testing: 13.294, usercpu_time_millis_training: 112.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.89, kappa: 0.7747, kb_relative_information_score: 28480.5319, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.89, predictive_accuracy: 0.8901, prior_entropy: 0.9835, recall: 0.8901, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.5828, scimark_benchmark: 1376.7452, usercpu_time_millis: 308.544, usercpu_time_millis_testing: 13.229, usercpu_time_millis_training: 295.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9048, kappa: 0.805, kb_relative_information_score: 30626.0633, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9048, predictive_accuracy: 0.9049, prior_entropy: 0.9835, recall: 0.9049, relative_absolute_error: 0.3516, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.542, scimark_benchmark: 1375.7964, usercpu_time_millis: 692.331, usercpu_time_millis_testing: 21.082, usercpu_time_millis_training: 671.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.647, 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: 1372.1082, usercpu_time_millis: 18.779, usercpu_time_millis_testing: 1.791, usercpu_time_millis_training: 16.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9207, kappa: 0.8376, kb_relative_information_score: 32257.5165, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9207, predictive_accuracy: 0.9208, prior_entropy: 0.9835, recall: 0.9208, relative_absolute_error: 0.3153, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.5033, scimark_benchmark: 1373.761, usercpu_time_millis: 484.112, usercpu_time_millis_testing: 13.482, usercpu_time_millis_training: 470.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8594, kappa: 0.7116, kb_relative_information_score: 25808.2596, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8594, predictive_accuracy: 0.8597, prior_entropy: 0.9835, recall: 0.8597, relative_absolute_error: 0.4589, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.6409, scimark_benchmark: 1369.8138, usercpu_time_millis: 19.775, usercpu_time_millis_testing: 0.602, usercpu_time_millis_training: 19.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8348, kappa: 0.661, kb_relative_information_score: 23432.4598, mean_absolute_error: 0.2494, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8348, predictive_accuracy: 0.8352, prior_entropy: 0.9835, recall: 0.8352, relative_absolute_error: 0.5105, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.6888, scimark_benchmark: 1368.7101, usercpu_time_millis: 169.014, usercpu_time_millis_testing: 6.265, usercpu_time_millis_training: 162.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9067, kappa: 0.8088, kb_relative_information_score: 30282.6394, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9067, predictive_accuracy: 0.9068, prior_entropy: 0.9835, recall: 0.9068, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.5425, scimark_benchmark: 1377.1284, usercpu_time_millis: 207.236, usercpu_time_millis_testing: 5.596, usercpu_time_millis_training: 201.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7881, f_measure: 0.7529, kappa: 0.4934, kb_relative_information_score: 8345.6824, mean_absolute_error: 0.4167, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7733, predictive_accuracy: 0.7626, prior_entropy: 0.9835, recall: 0.7626, relative_absolute_error: 0.8528, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8833, scimark_benchmark: 1373.8347, usercpu_time_millis: 64.336, usercpu_time_millis_testing: 9.251, usercpu_time_millis_training: 55.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.7588, kappa: 0.5049, kb_relative_information_score: 15726.312, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7757, predictive_accuracy: 0.7671, prior_entropy: 0.9835, recall: 0.7671, relative_absolute_error: 0.6896, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.7993, scimark_benchmark: 1375.1823, usercpu_time_millis: 142.469, usercpu_time_millis_testing: 9.247, usercpu_time_millis_training: 133.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.7941, kappa: 0.5762, kb_relative_information_score: 16267.3919, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.802, predictive_accuracy: 0.7983, prior_entropy: 0.9835, recall: 0.7983, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.7739, scimark_benchmark: 1370.9112, usercpu_time_millis: 101.922, usercpu_time_millis_testing: 10.815, usercpu_time_millis_training: 91.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.8283, kappa: 0.6471, kb_relative_information_score: 21385.528, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8296, predictive_accuracy: 0.8296, prior_entropy: 0.9835, recall: 0.8296, relative_absolute_error: 0.5628, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.7077, scimark_benchmark: 1374.5622, usercpu_time_millis: 315.308, usercpu_time_millis_testing: 30.745, usercpu_time_millis_training: 284.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9214, kappa: 0.839, kb_relative_information_score: 35009.0502, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9213, predictive_accuracy: 0.9214, prior_entropy: 0.9835, recall: 0.9214, relative_absolute_error: 0.241, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.4923, scimark_benchmark: 1374.8513, usercpu_time_millis: 1500.514, usercpu_time_millis_testing: 25.518, usercpu_time_millis_training: 1474.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7798, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 12849.6228, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.7568, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.8613, scimark_benchmark: 1374.0688, usercpu_time_millis: 75.277, usercpu_time_millis_testing: 7.878, usercpu_time_millis_training: 67.399,
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: 0.8218, f_measure: 0.7485, kappa: 0.4837, kb_relative_information_score: 14084.202, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.765, predictive_accuracy: 0.7573, prior_entropy: 0.9835, recall: 0.7573, relative_absolute_error: 0.724, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8407, scimark_benchmark: 1374.0559, usercpu_time_millis: 148.577, usercpu_time_millis_testing: 14.222, usercpu_time_millis_training: 134.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7486, kappa: 0.4839, kb_relative_information_score: 15826.4255, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.765, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.6803, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8198, scimark_benchmark: 1373.7701, usercpu_time_millis: 163.048, usercpu_time_millis_testing: 10.167, usercpu_time_millis_training: 152.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8836, f_measure: 0.7962, kappa: 0.5805, kb_relative_information_score: 16417.8987, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8037, predictive_accuracy: 0.8002, prior_entropy: 0.9835, recall: 0.8002, relative_absolute_error: 0.6787, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7714, scimark_benchmark: 1386.7106, usercpu_time_millis: 135.161, usercpu_time_millis_testing: 12.193, usercpu_time_millis_training: 122.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.8943, kappa: 0.7835, kb_relative_information_score: 28815.4556, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8943, predictive_accuracy: 0.8945, prior_entropy: 0.9835, recall: 0.8945, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2825, root_relative_squared_error: 0.5715, scimark_benchmark: 1375.4212, usercpu_time_millis: 379.728, usercpu_time_millis_testing: 19.999, usercpu_time_millis_training: 359.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.8721, kappa: 0.7379, kb_relative_information_score: 27076.9848, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.872, predictive_accuracy: 0.8722, prior_entropy: 0.9835, recall: 0.8722, relative_absolute_error: 0.4298, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.6189, scimark_benchmark: 1348.2996, usercpu_time_millis: 848.706, usercpu_time_millis_testing: 19.553, usercpu_time_millis_training: 829.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8582, kappa: 0.7089, kb_relative_information_score: 22429.3453, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8587, predictive_accuracy: 0.8589, prior_entropy: 0.9835, recall: 0.8589, relative_absolute_error: 0.5484, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.6678, scimark_benchmark: 1374.0662, usercpu_time_millis: 180.05, usercpu_time_millis_testing: 13.838, usercpu_time_millis_training: 166.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8452, kappa: 0.6824, kb_relative_information_score: 24456.6777, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8452, predictive_accuracy: 0.8456, prior_entropy: 0.9835, recall: 0.8456, relative_absolute_error: 0.4884, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.6681, scimark_benchmark: 1374.9768, usercpu_time_millis: 358.851, usercpu_time_millis_testing: 14.935, usercpu_time_millis_training: 343.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.8764, kappa: 0.7467, kb_relative_information_score: 27845.327, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8763, predictive_accuracy: 0.8765, prior_entropy: 0.9835, recall: 0.8765, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.6077, scimark_benchmark: 1373.2379, usercpu_time_millis: 599.04, usercpu_time_millis_testing: 12.629, usercpu_time_millis_training: 586.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.7908, kappa: 0.5696, kb_relative_information_score: 18194.6934, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7933, predictive_accuracy: 0.7932, prior_entropy: 0.9835, recall: 0.7932, relative_absolute_error: 0.6307, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7715, scimark_benchmark: 1372.396, usercpu_time_millis: 69.577, usercpu_time_millis_testing: 2.93, usercpu_time_millis_training: 66.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.8863, kappa: 0.7669, kb_relative_information_score: 27929.1961, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8863, predictive_accuracy: 0.8865, prior_entropy: 0.9835, recall: 0.8865, relative_absolute_error: 0.414, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.5912, scimark_benchmark: 1371.8917, usercpu_time_millis: 823.991, usercpu_time_millis_testing: 23.336, usercpu_time_millis_training: 800.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.8795, kappa: 0.7531, kb_relative_information_score: 27754.0426, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8794, predictive_accuracy: 0.8796, prior_entropy: 0.9835, recall: 0.8796, relative_absolute_error: 0.4149, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.6047, scimark_benchmark: 1373.9227, usercpu_time_millis: 141.699, usercpu_time_millis_testing: 2.816, usercpu_time_millis_training: 138.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 14212.652, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8445, scimark_benchmark: 1373.7406, usercpu_time_millis: 92.259, usercpu_time_millis_testing: 7.027, usercpu_time_millis_training: 85.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.8428, kappa: 0.6776, kb_relative_information_score: 24118.8327, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8428, predictive_accuracy: 0.8432, prior_entropy: 0.9835, recall: 0.8432, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6733, scimark_benchmark: 1369.1872, usercpu_time_millis: 904.059, usercpu_time_millis_testing: 27.123, usercpu_time_millis_training: 876.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.7482, kappa: 0.4831, kb_relative_information_score: 12436.7216, mean_absolute_error: 0.3744, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7648, predictive_accuracy: 0.757, prior_entropy: 0.9835, recall: 0.757, relative_absolute_error: 0.7662, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.426, root_relative_squared_error: 0.8619, scimark_benchmark: 1370.0152, usercpu_time_millis: 22.706, usercpu_time_millis_testing: 2.35, usercpu_time_millis_training: 20.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8452, kappa: 0.6825, kb_relative_information_score: 24486.0475, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8452, predictive_accuracy: 0.8456, prior_entropy: 0.9835, recall: 0.8456, relative_absolute_error: 0.4872, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.6693, scimark_benchmark: 1369.9196, usercpu_time_millis: 219.869, usercpu_time_millis_testing: 8.1, usercpu_time_millis_training: 211.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8877, kappa: 0.7696, kb_relative_information_score: 27567.9243, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8878, predictive_accuracy: 0.888, prior_entropy: 0.9835, recall: 0.888, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.588, scimark_benchmark: 1376.727, usercpu_time_millis: 512.946, usercpu_time_millis_testing: 24.776, usercpu_time_millis_training: 488.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8301, kappa: 0.6511, kb_relative_information_score: 22141.8298, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8306, predictive_accuracy: 0.831, prior_entropy: 0.9835, recall: 0.831, relative_absolute_error: 0.5434, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.7004, scimark_benchmark: 1371.183, usercpu_time_millis: 341.419, usercpu_time_millis_testing: 20.006, usercpu_time_millis_training: 321.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.8314, kappa: 0.6533, kb_relative_information_score: 19829.1053, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8331, predictive_accuracy: 0.8328, prior_entropy: 0.9835, recall: 0.8328, relative_absolute_error: 0.6043, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7159, scimark_benchmark: 1372.3346, usercpu_time_millis: 192.87, usercpu_time_millis_testing: 15.672, usercpu_time_millis_training: 177.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9177, kappa: 0.8314, kb_relative_information_score: 31770.3707, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9177, predictive_accuracy: 0.9178, prior_entropy: 0.9835, recall: 0.9178, relative_absolute_error: 0.327, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.253, root_relative_squared_error: 0.5119, scimark_benchmark: 1373.2556, usercpu_time_millis: 329.061, usercpu_time_millis_testing: 11.964, usercpu_time_millis_training: 317.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8515, kappa: 0.6956, kb_relative_information_score: 24932.936, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8516, predictive_accuracy: 0.8519, prior_entropy: 0.9835, recall: 0.8519, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.657, scimark_benchmark: 1375.2011, usercpu_time_millis: 164.48, usercpu_time_millis_testing: 8.511, usercpu_time_millis_training: 155.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.8164, kappa: 0.6231, kb_relative_information_score: 21099.0688, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8164, predictive_accuracy: 0.817, prior_entropy: 0.9835, recall: 0.817, relative_absolute_error: 0.5647, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7269, scimark_benchmark: 1378.2156, usercpu_time_millis: 363.066, usercpu_time_millis_testing: 14.915, usercpu_time_millis_training: 348.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8206, kappa: 0.6317, kb_relative_information_score: 21648.127, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8207, predictive_accuracy: 0.8213, prior_entropy: 0.9835, recall: 0.8213, relative_absolute_error: 0.5524, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7162, scimark_benchmark: 1374.0496, usercpu_time_millis: 383.924, usercpu_time_millis_testing: 13.95, usercpu_time_millis_training: 369.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.8491, kappa: 0.6906, kb_relative_information_score: 24715.584, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8491, predictive_accuracy: 0.8495, prior_entropy: 0.9835, recall: 0.8495, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6616, scimark_benchmark: 1369.5546, usercpu_time_millis: 290.324, usercpu_time_millis_testing: 16.51, usercpu_time_millis_training: 273.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8038, kappa: 0.5969, kb_relative_information_score: 19253.7732, mean_absolute_error: 0.2964, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8042, predictive_accuracy: 0.8049, prior_entropy: 0.9835, recall: 0.8049, relative_absolute_error: 0.6066, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7557, scimark_benchmark: 1373.4116, usercpu_time_millis: 276.947, usercpu_time_millis_testing: 15.185, usercpu_time_millis_training: 261.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.8526, kappa: 0.6976, kb_relative_information_score: 24771.1042, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8528, predictive_accuracy: 0.8531, prior_entropy: 0.9835, recall: 0.8531, relative_absolute_error: 0.4839, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.6543, scimark_benchmark: 1375.1698, usercpu_time_millis: 129.219, usercpu_time_millis_testing: 6.616, usercpu_time_millis_training: 122.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9032, kappa: 0.8018, kb_relative_information_score: 30688.66, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9032, predictive_accuracy: 0.9033, prior_entropy: 0.9835, recall: 0.9033, relative_absolute_error: 0.3485, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.5469, scimark_benchmark: 1374.1603, usercpu_time_millis: 35.976, usercpu_time_millis_testing: 0.639, usercpu_time_millis_training: 35.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.7493, kappa: 0.4854, kb_relative_information_score: 15024.818, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.766, predictive_accuracy: 0.7581, prior_entropy: 0.9835, recall: 0.7581, relative_absolute_error: 0.7008, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8255, scimark_benchmark: 1376.9222, usercpu_time_millis: 110.927, usercpu_time_millis_testing: 9.431, usercpu_time_millis_training: 101.496,
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: 0.8635, f_measure: 0.7854, kappa: 0.5583, kb_relative_information_score: 17817.6369, mean_absolute_error: 0.3127, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7888, predictive_accuracy: 0.7883, prior_entropy: 0.9835, recall: 0.7883, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7793, scimark_benchmark: 1373.824, usercpu_time_millis: 27.416, usercpu_time_millis_testing: 1.505, usercpu_time_millis_training: 25.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.832, kappa: 0.6546, kb_relative_information_score: 19898.3937, mean_absolute_error: 0.2944, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8334, predictive_accuracy: 0.8333, prior_entropy: 0.9835, recall: 0.8333, relative_absolute_error: 0.6025, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7153, scimark_benchmark: 1361.0389, usercpu_time_millis: 14.891, usercpu_time_millis_testing: 0.845, usercpu_time_millis_training: 14.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.7656, kappa: 0.5182, kb_relative_information_score: 16697.2495, mean_absolute_error: 0.3251, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7785, predictive_accuracy: 0.7724, prior_entropy: 0.9835, recall: 0.7724, relative_absolute_error: 0.6653, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.7923, scimark_benchmark: 1373.725, usercpu_time_millis: 13.18, usercpu_time_millis_testing: 0.772, usercpu_time_millis_training: 12.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.8186, kappa: 0.6267, kb_relative_information_score: 18517.3692, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8214, predictive_accuracy: 0.8206, prior_entropy: 0.9835, recall: 0.8206, relative_absolute_error: 0.6324, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.7394, scimark_benchmark: 1374.5916, usercpu_time_millis: 11.346, usercpu_time_millis_testing: 0.618, usercpu_time_millis_training: 10.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.7918, kappa: 0.5729, kb_relative_information_score: 18402.6103, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7917, predictive_accuracy: 0.7925, prior_entropy: 0.9835, recall: 0.7925, relative_absolute_error: 0.6254, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7755, scimark_benchmark: 1886.1194, usercpu_time_millis: 199.161, usercpu_time_millis_testing: 12.436, usercpu_time_millis_training: 186.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.7554, kappa: 0.4974, kb_relative_information_score: 15702.9418, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7695, predictive_accuracy: 0.763, prior_entropy: 0.9835, recall: 0.763, relative_absolute_error: 0.6856, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8156, scimark_benchmark: 1888.9268, usercpu_time_millis: 122.195, usercpu_time_millis_testing: 8.998, usercpu_time_millis_training: 113.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8414, kappa: 0.6745, kb_relative_information_score: 23665.6155, mean_absolute_error: 0.2484, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8416, predictive_accuracy: 0.842, prior_entropy: 0.9835, recall: 0.842, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.334, root_relative_squared_error: 0.6757, scimark_benchmark: 1880.7468, usercpu_time_millis: 223.56, usercpu_time_millis_testing: 13.66, usercpu_time_millis_training: 209.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.8525, kappa: 0.6972, kb_relative_information_score: 23815.7414, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.853, predictive_accuracy: 0.8532, prior_entropy: 0.9835, recall: 0.8532, relative_absolute_error: 0.5098, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6611, scimark_benchmark: 1928.2583, usercpu_time_millis: 88.307, usercpu_time_millis_testing: 9.59, usercpu_time_millis_training: 78.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.7834, kappa: 0.5543, kb_relative_information_score: 17158.2213, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7932, predictive_accuracy: 0.7885, prior_entropy: 0.9835, recall: 0.7885, relative_absolute_error: 0.6576, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.7737, scimark_benchmark: 1729.8197, usercpu_time_millis: 212.644, usercpu_time_millis_testing: 15.778, usercpu_time_millis_training: 196.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.7963, kappa: 0.5807, kb_relative_information_score: 18454.0614, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8024, predictive_accuracy: 0.7999, prior_entropy: 0.9835, recall: 0.7999, relative_absolute_error: 0.6263, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7604, scimark_benchmark: 1867.9352, usercpu_time_millis: 73.705, usercpu_time_millis_testing: 5.707, usercpu_time_millis_training: 67.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8998, kappa: 0.7948, kb_relative_information_score: 29605.1792, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8998, predictive_accuracy: 0.8999, prior_entropy: 0.9835, recall: 0.8999, relative_absolute_error: 0.3763, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.276, root_relative_squared_error: 0.5583, scimark_benchmark: 1717.4916, usercpu_time_millis: 117.059, usercpu_time_millis_testing: 4.139, usercpu_time_millis_training: 112.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4204, kb_relative_information_score: 0.6538, 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: 1942.9959, usercpu_time_millis: 26.696, usercpu_time_millis_testing: 4.484, usercpu_time_millis_training: 22.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7512, kappa: 0.4892, kb_relative_information_score: 13144.7454, mean_absolute_error: 0.3653, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7672, predictive_accuracy: 0.7597, prior_entropy: 0.9835, recall: 0.7597, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.838, scimark_benchmark: 1749.9478, usercpu_time_millis: 93.744, usercpu_time_millis_testing: 9.789, usercpu_time_millis_training: 83.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.7573, kappa: 0.5017, kb_relative_information_score: 15435.7918, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7743, predictive_accuracy: 0.7657, prior_entropy: 0.9835, recall: 0.7657, relative_absolute_error: 0.6965, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.397, root_relative_squared_error: 0.8032, scimark_benchmark: 1758.7205, usercpu_time_millis: 59.742, usercpu_time_millis_testing: 4.469, usercpu_time_millis_training: 55.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.7553, kappa: 0.4974, kb_relative_information_score: 15629.5647, mean_absolute_error: 0.3368, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7701, predictive_accuracy: 0.7632, prior_entropy: 0.9835, recall: 0.7632, relative_absolute_error: 0.6892, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8103, scimark_benchmark: 1726.6254, usercpu_time_millis: 90.711, usercpu_time_millis_testing: 9.916, usercpu_time_millis_training: 80.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.0242, 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: 1869.5808, usercpu_time_millis: 47.135, usercpu_time_millis_testing: 8.188, usercpu_time_millis_training: 38.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.707, 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: 1859.3481, usercpu_time_millis: 30.486, usercpu_time_millis_testing: 5.228, usercpu_time_millis_training: 25.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.7564, kappa: 0.4997, kb_relative_information_score: 14560.9977, mean_absolute_error: 0.3501, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7716, predictive_accuracy: 0.7644, prior_entropy: 0.9835, recall: 0.7644, relative_absolute_error: 0.7166, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.403, root_relative_squared_error: 0.8153, scimark_benchmark: 1734.693, usercpu_time_millis: 5.85, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 5.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.8388, kappa: 0.669, kb_relative_information_score: 22612.0202, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8393, predictive_accuracy: 0.8396, prior_entropy: 0.9835, recall: 0.8396, relative_absolute_error: 0.5354, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.6853, scimark_benchmark: 1739.9902, usercpu_time_millis: 207.079, usercpu_time_millis_testing: 11.364, usercpu_time_millis_training: 195.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.5322, 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: 1739.0869, usercpu_time_millis: 26.024, usercpu_time_millis_testing: 4.302, usercpu_time_millis_training: 21.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8273, kappa: 0.6449, kb_relative_information_score: 19340.9073, mean_absolute_error: 0.3004, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8293, predictive_accuracy: 0.8289, prior_entropy: 0.9835, recall: 0.8289, relative_absolute_error: 0.6148, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7242, scimark_benchmark: 1720.272, usercpu_time_millis: 135.925, usercpu_time_millis_testing: 8.375, usercpu_time_millis_training: 127.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8518, kappa: 0.696, kb_relative_information_score: 25093.487, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8518, predictive_accuracy: 0.8522, prior_entropy: 0.9835, recall: 0.8522, relative_absolute_error: 0.4747, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.6542, scimark_benchmark: 1840.0376, usercpu_time_millis: 313.022, usercpu_time_millis_testing: 13.57, usercpu_time_millis_training: 299.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.635, 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: 1885.5568, usercpu_time_millis: 58.146, usercpu_time_millis_testing: 9.844, usercpu_time_millis_training: 48.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8357, kappa: 0.663, kb_relative_information_score: 23658.4168, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8357, predictive_accuracy: 0.8362, prior_entropy: 0.9835, recall: 0.8362, relative_absolute_error: 0.5049, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.6866, scimark_benchmark: 1847.0269, usercpu_time_millis: 416.033, usercpu_time_millis_testing: 12.533, usercpu_time_millis_training: 403.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.7911, kappa: 0.5702, kb_relative_information_score: 16017.1511, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7999, predictive_accuracy: 0.7957, prior_entropy: 0.9835, recall: 0.7957, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7776, scimark_benchmark: 2007.3377, usercpu_time_millis: 78.307, usercpu_time_millis_testing: 9.315, usercpu_time_millis_training: 68.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8502, kappa: 0.6926, kb_relative_information_score: 24408.2751, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8503, predictive_accuracy: 0.8507, prior_entropy: 0.9835, recall: 0.8507, relative_absolute_error: 0.4923, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6614, scimark_benchmark: 1852.9259, usercpu_time_millis: 80.959, usercpu_time_millis_testing: 5.053, usercpu_time_millis_training: 75.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.3423, 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: 1946.2897, usercpu_time_millis: 62.89, usercpu_time_millis_testing: 7.059, usercpu_time_millis_training: 55.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7492, kappa: 0.4853, kb_relative_information_score: 13917.3052, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7662, predictive_accuracy: 0.7581, prior_entropy: 0.9835, recall: 0.7581, relative_absolute_error: 0.7289, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8372, scimark_benchmark: 1849.8294, usercpu_time_millis: 60.197, usercpu_time_millis_testing: 5.425, usercpu_time_millis_training: 54.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.0122, 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: 1855.0232, usercpu_time_millis: 54.291, usercpu_time_millis_testing: 9.023, usercpu_time_millis_training: 45.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.8765, kappa: 0.7469, kb_relative_information_score: 27313.316, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8765, predictive_accuracy: 0.8767, prior_entropy: 0.9835, recall: 0.8767, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.6103, scimark_benchmark: 2010.8296, usercpu_time_millis: 25.18, usercpu_time_millis_testing: 0.696, usercpu_time_millis_training: 24.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.6212, 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: 37.387, usercpu_time_millis_testing: 3.128, usercpu_time_millis_training: 34.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.896, kappa: 0.787, kb_relative_information_score: 29230.2799, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.896, predictive_accuracy: 0.8961, prior_entropy: 0.9835, recall: 0.8961, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.281, root_relative_squared_error: 0.5686, scimark_benchmark: 1838.168, usercpu_time_millis: 32.127, usercpu_time_millis_testing: 1.064, usercpu_time_millis_training: 31.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.1217, 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: 1840.8767, usercpu_time_millis: 27.68, usercpu_time_millis_testing: 2.131, usercpu_time_millis_training: 25.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.7683, kappa: 0.5236, kb_relative_information_score: 16753.1488, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7804, predictive_accuracy: 0.7748, prior_entropy: 0.9835, recall: 0.7748, relative_absolute_error: 0.6651, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.39, root_relative_squared_error: 0.7891, scimark_benchmark: 1854.1098, usercpu_time_millis: 22.963, usercpu_time_millis_testing: 1.073, usercpu_time_millis_training: 21.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.8442, kappa: 0.6807, kb_relative_information_score: 24792.9705, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8442, predictive_accuracy: 0.8445, prior_entropy: 0.9835, recall: 0.8445, relative_absolute_error: 0.4791, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6674, scimark_benchmark: 1758.8873, usercpu_time_millis: 518.909, usercpu_time_millis_testing: 19.031, usercpu_time_millis_training: 499.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8363, kappa: 0.6642, kb_relative_information_score: 23582.8677, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8363, predictive_accuracy: 0.8368, prior_entropy: 0.9835, recall: 0.8368, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.6861, scimark_benchmark: 1824.9315, usercpu_time_millis: 488.244, usercpu_time_millis_testing: 17.353, usercpu_time_millis_training: 470.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.851, kappa: 0.6943, kb_relative_information_score: 24664.8617, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8512, predictive_accuracy: 0.8515, prior_entropy: 0.9835, recall: 0.8515, relative_absolute_error: 0.486, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6567, scimark_benchmark: 1838.2468, usercpu_time_millis: 259.998, usercpu_time_millis_testing: 10.094, usercpu_time_millis_training: 249.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.829, kappa: 0.6492, kb_relative_information_score: 22792.4944, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.829, predictive_accuracy: 0.8296, prior_entropy: 0.9835, recall: 0.8296, relative_absolute_error: 0.5253, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.6994, scimark_benchmark: 1836.5156, usercpu_time_millis: 52.992, usercpu_time_millis_testing: 2.185, usercpu_time_millis_training: 50.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.7817, kappa: 0.5508, kb_relative_information_score: 17771.7002, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7903, predictive_accuracy: 0.7865, prior_entropy: 0.9835, recall: 0.7865, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7742, scimark_benchmark: 1797.9177, usercpu_time_millis: 159.117, usercpu_time_millis_testing: 11.78, usercpu_time_millis_training: 147.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9198, kappa: 0.8358, kb_relative_information_score: 32334.032, mean_absolute_error: 0.1529, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9198, predictive_accuracy: 0.9199, prior_entropy: 0.9835, recall: 0.9199, relative_absolute_error: 0.3128, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.5036, scimark_benchmark: 1834.2328, usercpu_time_millis: 95.301, usercpu_time_millis_testing: 3.11, usercpu_time_millis_training: 92.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8506, kappa: 0.6935, kb_relative_information_score: 24463.3496, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8507, predictive_accuracy: 0.8511, prior_entropy: 0.9835, recall: 0.8511, relative_absolute_error: 0.4915, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6576, scimark_benchmark: 1747.8606, usercpu_time_millis: 86.988, usercpu_time_millis_testing: 3.521, usercpu_time_millis_training: 83.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.7539, kappa: 0.4944, kb_relative_information_score: 15209.6671, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7681, predictive_accuracy: 0.7617, prior_entropy: 0.9835, recall: 0.7617, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.817, scimark_benchmark: 1734.5324, usercpu_time_millis: 48.902, usercpu_time_millis_testing: 3.277, usercpu_time_millis_training: 45.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.1863, 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: 1784.1077, usercpu_time_millis: 35.594, usercpu_time_millis_testing: 5.948, usercpu_time_millis_training: 29.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.7869, kappa: 0.5614, kb_relative_information_score: 17390.1026, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7954, predictive_accuracy: 0.7915, prior_entropy: 0.9835, recall: 0.7915, relative_absolute_error: 0.6525, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7701, scimark_benchmark: 1816.2134, usercpu_time_millis: 13.976, usercpu_time_millis_testing: 0.906, usercpu_time_millis_training: 13.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.7685, kappa: 0.5235, kb_relative_information_score: 17330.8667, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7751, predictive_accuracy: 0.7731, prior_entropy: 0.9835, recall: 0.7731, relative_absolute_error: 0.648, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7935, scimark_benchmark: 1732.6229, usercpu_time_millis: 35.606, usercpu_time_millis_testing: 1.45, usercpu_time_millis_training: 34.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.8346, kappa: 0.6607, kb_relative_information_score: 23431.9734, mean_absolute_error: 0.2494, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8346, predictive_accuracy: 0.8351, prior_entropy: 0.9835, recall: 0.8351, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.6892, scimark_benchmark: 1712.1059, usercpu_time_millis: 1168.081, usercpu_time_millis_testing: 30.278, usercpu_time_millis_training: 1137.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8599, kappa: 0.7128, kb_relative_information_score: 25964.9857, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8599, predictive_accuracy: 0.8602, prior_entropy: 0.9835, recall: 0.8602, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.6395, scimark_benchmark: 1733.7613, usercpu_time_millis: 582.862, usercpu_time_millis_testing: 17.703, usercpu_time_millis_training: 565.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.827, kappa: 0.6446, kb_relative_information_score: 21739.4256, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9835, recall: 0.828, relative_absolute_error: 0.5525, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.7074, scimark_benchmark: 1690.638, usercpu_time_millis: 516.204, usercpu_time_millis_testing: 30.384, usercpu_time_millis_training: 485.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.8077, kappa: 0.6057, kb_relative_information_score: 20600.4247, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8076, predictive_accuracy: 0.8082, prior_entropy: 0.9835, recall: 0.8082, relative_absolute_error: 0.5746, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7426, scimark_benchmark: 1034.7782, usercpu_time_millis: 686.356, usercpu_time_millis_testing: 27.681, usercpu_time_millis_training: 658.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8417, kappa: 0.6751, kb_relative_information_score: 23757.374, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8419, predictive_accuracy: 0.8423, prior_entropy: 0.9835, recall: 0.8423, relative_absolute_error: 0.5062, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.6741, scimark_benchmark: 1736.2051, usercpu_time_millis: 403.808, usercpu_time_millis_testing: 20.198, usercpu_time_millis_training: 383.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8911, kappa: 0.7769, kb_relative_information_score: 29040.8857, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8911, predictive_accuracy: 0.8912, prior_entropy: 0.9835, recall: 0.8912, relative_absolute_error: 0.3868, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.5764, scimark_benchmark: 1082.9647, usercpu_time_millis: 375.89, usercpu_time_millis_testing: 6.471, usercpu_time_millis_training: 369.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.788, kappa: 0.5641, kb_relative_information_score: 17995.0351, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7894, predictive_accuracy: 0.7899, prior_entropy: 0.9835, recall: 0.7899, relative_absolute_error: 0.6343, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.7845, scimark_benchmark: 1738.7921, usercpu_time_millis: 160.879, usercpu_time_millis_testing: 10.21, usercpu_time_millis_training: 150.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8167, kappa: 0.6228, kb_relative_information_score: 18267.6512, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8198, predictive_accuracy: 0.8189, prior_entropy: 0.9835, recall: 0.8189, relative_absolute_error: 0.6381, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7426, scimark_benchmark: 741.3898, usercpu_time_millis: 103.706, usercpu_time_millis_testing: 8.071, usercpu_time_millis_training: 95.635,

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