OpenML
Supervised Classification on electricity

Supervised Classification on electricity

Task 146012 Supervised Classification electricity 25374 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

25374 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8195, kappa: 0.6286, kb_relative_information_score: 18570.8375, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8221, predictive_accuracy: 0.8214, prior_entropy: 0.9835, recall: 0.8214, relative_absolute_error: 0.6315, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.7374, scimark_benchmark: 1850.4852, usercpu_time_millis: 153.327, usercpu_time_millis_testing: 13.508, usercpu_time_millis_training: 139.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.8111, kappa: 0.6126, kb_relative_information_score: 20520.0923, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.811, predictive_accuracy: 0.8116, prior_entropy: 0.9835, recall: 0.8116, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7404, scimark_benchmark: 1833.1809, usercpu_time_millis: 151.279, usercpu_time_millis_testing: 8.214, usercpu_time_millis_training: 143.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.7809, kappa: 0.5494, kb_relative_information_score: 16899.2092, mean_absolute_error: 0.3242, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.792, predictive_accuracy: 0.7865, prior_entropy: 0.9835, recall: 0.7865, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7771, scimark_benchmark: 1848.2615, usercpu_time_millis: 140.698, usercpu_time_millis_testing: 16.777, usercpu_time_millis_training: 123.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8059, kappa: 0.6005, kb_relative_information_score: 18964.532, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.81, predictive_accuracy: 0.8086, prior_entropy: 0.9835, recall: 0.8086, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.747, scimark_benchmark: 1852.9259, usercpu_time_millis: 115.249, usercpu_time_millis_testing: 9.343, usercpu_time_millis_training: 105.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.7772, kappa: 0.5418, kb_relative_information_score: 16709.8503, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7891, predictive_accuracy: 0.7832, prior_entropy: 0.9835, recall: 0.7832, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.7798, scimark_benchmark: 1815.5992, usercpu_time_millis: 161.489, usercpu_time_millis_testing: 18.165, usercpu_time_millis_training: 143.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8794, kappa: 0.7528, kb_relative_information_score: 27383.6415, mean_absolute_error: 0.2076, 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: 0.4248, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.6063, scimark_benchmark: 1853.9121, usercpu_time_millis: 145.601, usercpu_time_millis_testing: 4.963, usercpu_time_millis_training: 140.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.7572, kappa: 0.5022, kb_relative_information_score: 11210.2177, mean_absolute_error: 0.3876, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7776, predictive_accuracy: 0.7666, prior_entropy: 0.9835, recall: 0.7666, relative_absolute_error: 0.7932, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8432, scimark_benchmark: 1846.6923, usercpu_time_millis: 99.135, usercpu_time_millis_testing: 10.137, usercpu_time_millis_training: 88.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.7667, kappa: 0.5202, kb_relative_information_score: 17008.048, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7772, predictive_accuracy: 0.7728, prior_entropy: 0.9835, recall: 0.7728, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.7918, scimark_benchmark: 1783.519, usercpu_time_millis: 141.546, usercpu_time_millis_testing: 9.758, usercpu_time_millis_training: 131.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.997, 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: 1843.7091, usercpu_time_millis: 97.488, usercpu_time_millis_testing: 8.311, usercpu_time_millis_training: 89.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.778, kappa: 0.5434, kb_relative_information_score: 17329.4879, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7892, predictive_accuracy: 0.7838, prior_entropy: 0.9835, recall: 0.7838, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.384, root_relative_squared_error: 0.7769, scimark_benchmark: 1855.0232, usercpu_time_millis: 104.826, usercpu_time_millis_testing: 9.58, usercpu_time_millis_training: 95.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.8609, kappa: 0.7146, kb_relative_information_score: 25495.2704, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.861, predictive_accuracy: 0.8613, prior_entropy: 0.9835, recall: 0.8613, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.6368, scimark_benchmark: 1849.8294, usercpu_time_millis: 99.991, usercpu_time_millis_testing: 4.997, usercpu_time_millis_training: 94.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.7986, kappa: 0.5855, kb_relative_information_score: 16677.2849, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8053, predictive_accuracy: 0.8023, prior_entropy: 0.9835, recall: 0.8023, relative_absolute_error: 0.6728, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7679, scimark_benchmark: 1833.0457, usercpu_time_millis: 135.415, usercpu_time_millis_testing: 11.202, usercpu_time_millis_training: 124.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.8183, kappa: 0.6265, kb_relative_information_score: 20621.5695, mean_absolute_error: 0.2822, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8194, predictive_accuracy: 0.8196, prior_entropy: 0.9835, recall: 0.8196, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7264, scimark_benchmark: 1845.181, usercpu_time_millis: 144.288, usercpu_time_millis_testing: 9.937, usercpu_time_millis_training: 134.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.7718, kappa: 0.5304, kb_relative_information_score: 17078.1415, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7806, predictive_accuracy: 0.7771, prior_entropy: 0.9835, recall: 0.7771, relative_absolute_error: 0.6574, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.7847, scimark_benchmark: 1855.4813, usercpu_time_millis: 140.524, usercpu_time_millis_testing: 11.073, usercpu_time_millis_training: 129.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 14217.794, mean_absolute_error: 0.3518, 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: 0.7201, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8438, scimark_benchmark: 1839.6613, usercpu_time_millis: 88.717, usercpu_time_millis_testing: 6.812, usercpu_time_millis_training: 81.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.847, kappa: 0.6863, kb_relative_information_score: 24474.8462, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.847, predictive_accuracy: 0.8474, prior_entropy: 0.9835, recall: 0.8474, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6645, scimark_benchmark: 1799.7828, usercpu_time_millis: 84.324, usercpu_time_millis_testing: 5.347, usercpu_time_millis_training: 78.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.7764, kappa: 0.54, kb_relative_information_score: 17477.6691, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7865, predictive_accuracy: 0.7819, prior_entropy: 0.9835, recall: 0.7819, relative_absolute_error: 0.6478, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7783, scimark_benchmark: 1845.779, usercpu_time_millis: 116.333, usercpu_time_millis_testing: 10.763, usercpu_time_millis_training: 105.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.3759, 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: 1829.1442, usercpu_time_millis: 116.965, usercpu_time_millis_testing: 8.625, usercpu_time_millis_training: 108.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.7896, kappa: 0.5678, kb_relative_information_score: 18126.5501, mean_absolute_error: 0.3087, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7898, predictive_accuracy: 0.7907, prior_entropy: 0.9835, recall: 0.7907, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7835, scimark_benchmark: 1815.0712, usercpu_time_millis: 100.605, usercpu_time_millis_testing: 6.365, usercpu_time_millis_training: 94.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.7578, kappa: 0.5028, kb_relative_information_score: 14402.3627, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7753, predictive_accuracy: 0.7663, prior_entropy: 0.9835, recall: 0.7663, relative_absolute_error: 0.7213, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.811, scimark_benchmark: 1829.6751, usercpu_time_millis: 113.021, usercpu_time_millis_testing: 11.14, usercpu_time_millis_training: 101.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8207, kappa: 0.6319, kb_relative_information_score: 21654.9818, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8208, predictive_accuracy: 0.8214, prior_entropy: 0.9835, recall: 0.8214, relative_absolute_error: 0.5521, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7165, scimark_benchmark: 1122.7519, usercpu_time_millis: 112.421, usercpu_time_millis_testing: 4.98, usercpu_time_millis_training: 107.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8428, kappa: 0.6773, kb_relative_information_score: 23061.045, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8432, predictive_accuracy: 0.8435, prior_entropy: 0.9835, recall: 0.8435, relative_absolute_error: 0.5254, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6771, scimark_benchmark: 1802.471, usercpu_time_millis: 101.66, usercpu_time_millis_testing: 6.121, usercpu_time_millis_training: 95.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7489, kappa: 0.4845, kb_relative_information_score: 14571.9699, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7656, predictive_accuracy: 0.7577, prior_entropy: 0.9835, recall: 0.7577, relative_absolute_error: 0.7127, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8324, scimark_benchmark: 1838.6751, usercpu_time_millis: 96.004, usercpu_time_millis_testing: 9.656, usercpu_time_millis_training: 86.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.8118, kappa: 0.6127, kb_relative_information_score: 19519.7434, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8147, predictive_accuracy: 0.814, prior_entropy: 0.9835, recall: 0.814, relative_absolute_error: 0.6043, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.365, root_relative_squared_error: 0.7385, scimark_benchmark: 1849.8294, usercpu_time_millis: 98.635, usercpu_time_millis_testing: 8.012, usercpu_time_millis_training: 90.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.7763, kappa: 0.5399, kb_relative_information_score: 17533.0773, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7869, predictive_accuracy: 0.782, prior_entropy: 0.9835, recall: 0.782, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7771, scimark_benchmark: 1829.1442, usercpu_time_millis: 105.096, usercpu_time_millis_testing: 6.723, usercpu_time_millis_training: 98.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.7725, kappa: 0.5322, kb_relative_information_score: 16977.9001, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7852, predictive_accuracy: 0.7789, prior_entropy: 0.9835, recall: 0.7789, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.7815, scimark_benchmark: 1852.9988, usercpu_time_millis: 117.845, usercpu_time_millis_testing: 12.534, usercpu_time_millis_training: 105.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.929, kappa: 0.8546, kb_relative_information_score: 34007.5816, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.929, predictive_accuracy: 0.929, prior_entropy: 0.9835, recall: 0.929, relative_absolute_error: 0.2721, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.235, root_relative_squared_error: 0.4755, scimark_benchmark: 1848.2615, usercpu_time_millis: 83.826, usercpu_time_millis_testing: 2.465, usercpu_time_millis_training: 81.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7521, kappa: 0.4923, kb_relative_information_score: 9480.4713, mean_absolute_error: 0.4053, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7753, predictive_accuracy: 0.7626, prior_entropy: 0.9835, recall: 0.7626, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8657, scimark_benchmark: 1853.97, usercpu_time_millis: 114.117, usercpu_time_millis_testing: 11.235, usercpu_time_millis_training: 102.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.8576, kappa: 0.7079, kb_relative_information_score: 25231.2397, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8577, predictive_accuracy: 0.858, prior_entropy: 0.9835, recall: 0.858, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.6448, scimark_benchmark: 1804.3435, usercpu_time_millis: 71.065, usercpu_time_millis_testing: 4.687, usercpu_time_millis_training: 66.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9174, kappa: 0.8308, kb_relative_information_score: 32052.555, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9174, predictive_accuracy: 0.9174, prior_entropy: 0.9835, recall: 0.9174, relative_absolute_error: 0.3194, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.5096, scimark_benchmark: 1855.0232, usercpu_time_millis: 71.635, usercpu_time_millis_testing: 2.362, usercpu_time_millis_training: 69.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.7863, kappa: 0.5602, kb_relative_information_score: 17849.9209, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7952, predictive_accuracy: 0.791, prior_entropy: 0.9835, recall: 0.791, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7693, scimark_benchmark: 1850.8706, usercpu_time_millis: 74.006, usercpu_time_millis_testing: 7.997, usercpu_time_millis_training: 66.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.7962, kappa: 0.5818, kb_relative_information_score: 18753.5915, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7961, predictive_accuracy: 0.7968, prior_entropy: 0.9835, recall: 0.7968, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7671, scimark_benchmark: 1853.9121, usercpu_time_millis: 72.065, usercpu_time_millis_testing: 3.611, usercpu_time_millis_training: 68.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.7493, kappa: 0.4854, kb_relative_information_score: 14149.5541, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7663, predictive_accuracy: 0.7582, prior_entropy: 0.9835, recall: 0.7582, relative_absolute_error: 0.7233, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.835, scimark_benchmark: 1853.5148, usercpu_time_millis: 110.14, usercpu_time_millis_testing: 11.959, usercpu_time_millis_training: 98.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.7723, kappa: 0.5313, kb_relative_information_score: 17471.0344, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.78, predictive_accuracy: 0.7772, prior_entropy: 0.9835, recall: 0.7772, relative_absolute_error: 0.6474, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.7859, scimark_benchmark: 1849.9572, usercpu_time_millis: 109.307, usercpu_time_millis_testing: 6.794, usercpu_time_millis_training: 102.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9275, kappa: 0.8516, kb_relative_information_score: 35483.4702, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9275, predictive_accuracy: 0.9275, prior_entropy: 0.9835, recall: 0.9275, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.4703, scimark_benchmark: 1837.3654, usercpu_time_millis: 53.549, usercpu_time_millis_testing: 1.651, usercpu_time_millis_training: 51.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7654, kappa: 0.5178, kb_relative_information_score: 16567.8445, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7792, predictive_accuracy: 0.7725, prior_entropy: 0.9835, recall: 0.7725, relative_absolute_error: 0.6694, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.7913, scimark_benchmark: 1815.0712, usercpu_time_millis: 82.587, usercpu_time_millis_testing: 6.541, usercpu_time_millis_training: 76.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.8035, kappa: 0.5955, kb_relative_information_score: 18856.9961, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8075, predictive_accuracy: 0.8062, prior_entropy: 0.9835, recall: 0.8062, relative_absolute_error: 0.6173, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7544, scimark_benchmark: 1845.7835, usercpu_time_millis: 111.687, usercpu_time_millis_testing: 9.772, usercpu_time_millis_training: 101.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.7537, kappa: 0.4946, kb_relative_information_score: 11959.976, mean_absolute_error: 0.3786, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7715, predictive_accuracy: 0.7626, prior_entropy: 0.9835, recall: 0.7626, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8443, scimark_benchmark: 1829.217, usercpu_time_millis: 86.465, usercpu_time_millis_testing: 6.268, usercpu_time_millis_training: 80.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7375, kappa: 0.465, kb_relative_information_score: 5546.1836, mean_absolute_error: 0.4426, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7723, predictive_accuracy: 0.7521, prior_entropy: 0.9835, recall: 0.7521, relative_absolute_error: 0.9059, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9184, scimark_benchmark: 1783.1428, usercpu_time_millis: 62.708, usercpu_time_millis_testing: 9.898, usercpu_time_millis_training: 52.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.7735, kappa: 0.5339, kb_relative_information_score: 17158.4587, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7823, predictive_accuracy: 0.7787, prior_entropy: 0.9835, recall: 0.7787, relative_absolute_error: 0.6554, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7866, scimark_benchmark: 1825.3354, usercpu_time_millis: 63.817, usercpu_time_millis_testing: 3.906, usercpu_time_millis_training: 59.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.8446, kappa: 0.6811, kb_relative_information_score: 23890.3501, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8447, predictive_accuracy: 0.8451, prior_entropy: 0.9835, recall: 0.8451, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.6713, scimark_benchmark: 1859.1356, usercpu_time_millis: 76.223, usercpu_time_millis_testing: 5.841, usercpu_time_millis_training: 70.382,
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: 0.8382, f_measure: 0.7492, kappa: 0.4854, kb_relative_information_score: 14881.2547, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7667, predictive_accuracy: 0.7583, prior_entropy: 0.9835, recall: 0.7583, relative_absolute_error: 0.705, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8258, scimark_benchmark: 1853.454, usercpu_time_millis: 103.664, usercpu_time_millis_testing: 7.632, usercpu_time_millis_training: 96.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.603, 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: 1792.8869, usercpu_time_millis: 91.359, usercpu_time_millis_testing: 8.814, usercpu_time_millis_training: 82.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7529, kappa: 0.4937, kb_relative_information_score: 9702.3463, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7754, predictive_accuracy: 0.7631, prior_entropy: 0.9835, recall: 0.7631, relative_absolute_error: 0.8249, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8629, scimark_benchmark: 1854.9533, usercpu_time_millis: 91.36, usercpu_time_millis_testing: 8.892, usercpu_time_millis_training: 82.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.1703, 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: 1805.2569, usercpu_time_millis: 79.405, usercpu_time_millis_testing: 6.783, usercpu_time_millis_training: 72.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.849, kappa: 0.6898, kb_relative_information_score: 21434.9837, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8496, predictive_accuracy: 0.8498, prior_entropy: 0.9835, recall: 0.8498, relative_absolute_error: 0.5698, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.339, root_relative_squared_error: 0.6859, scimark_benchmark: 1857.5664, usercpu_time_millis: 69.851, usercpu_time_millis_testing: 4.494, usercpu_time_millis_training: 65.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.8125, kappa: 0.6143, kb_relative_information_score: 19795.4396, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8145, predictive_accuracy: 0.8143, prior_entropy: 0.9835, recall: 0.8143, relative_absolute_error: 0.5962, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7398, scimark_benchmark: 1783.519, usercpu_time_millis: 88.621, usercpu_time_millis_testing: 5.917, usercpu_time_millis_training: 82.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.7483, kappa: 0.4833, kb_relative_information_score: 11477.3178, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7572, prior_entropy: 0.9835, recall: 0.7572, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8628, scimark_benchmark: 1796.0572, usercpu_time_millis: 57.846, usercpu_time_millis_testing: 8.022, usercpu_time_millis_training: 49.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.8343, kappa: 0.6601, kb_relative_information_score: 23531.9787, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8343, predictive_accuracy: 0.8347, prior_entropy: 0.9835, recall: 0.8347, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.6892, scimark_benchmark: 1852.5406, usercpu_time_millis: 82.791, usercpu_time_millis_testing: 2.633, usercpu_time_millis_training: 80.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.9006, 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: 1822.4462, usercpu_time_millis: 72.057, usercpu_time_millis_testing: 8.039, usercpu_time_millis_training: 64.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.7784, kappa: 0.544, kb_relative_information_score: 17576.6157, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7866, predictive_accuracy: 0.7832, prior_entropy: 0.9835, recall: 0.7832, relative_absolute_error: 0.6455, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.7774, scimark_benchmark: 1843.1261, usercpu_time_millis: 54.452, usercpu_time_millis_testing: 2.682, usercpu_time_millis_training: 51.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.8084, kappa: 0.6058, kb_relative_information_score: 19159.8562, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8121, predictive_accuracy: 0.811, prior_entropy: 0.9835, recall: 0.811, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.744, scimark_benchmark: 1794.6857, usercpu_time_millis: 51.577, usercpu_time_millis_testing: 2.719, usercpu_time_millis_training: 48.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.8498, kappa: 0.6917, kb_relative_information_score: 24394.2472, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.85, predictive_accuracy: 0.8503, prior_entropy: 0.9835, recall: 0.8503, relative_absolute_error: 0.4932, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.6586, scimark_benchmark: 1834.1671, usercpu_time_millis: 86.301, usercpu_time_millis_testing: 3.367, usercpu_time_millis_training: 82.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7685, kappa: 0.5244, kb_relative_information_score: 16633.3968, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7828, predictive_accuracy: 0.7756, prior_entropy: 0.9835, recall: 0.7756, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.7862, scimark_benchmark: 1794.5001, usercpu_time_millis: 54.598, usercpu_time_millis_testing: 6.259, usercpu_time_millis_training: 48.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.7705, kappa: 0.5287, kb_relative_information_score: 13828.2898, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7864, predictive_accuracy: 0.778, prior_entropy: 0.9835, recall: 0.778, relative_absolute_error: 0.7359, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.8081, scimark_benchmark: 1856.5802, usercpu_time_millis: 95.365, usercpu_time_millis_testing: 9.789, usercpu_time_millis_training: 85.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8068, f_measure: 0.7451, kappa: 0.4789, kb_relative_information_score: 7542.1843, mean_absolute_error: 0.4241, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7728, predictive_accuracy: 0.7572, prior_entropy: 0.9835, recall: 0.7572, relative_absolute_error: 0.8679, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.8914, scimark_benchmark: 1832.5979, usercpu_time_millis: 48.952, usercpu_time_millis_testing: 7.007, usercpu_time_millis_training: 41.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.7605, kappa: 0.5081, kb_relative_information_score: 15899.1439, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7764, predictive_accuracy: 0.7685, prior_entropy: 0.9835, recall: 0.7685, relative_absolute_error: 0.6857, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.7973, scimark_benchmark: 1847.7335, usercpu_time_millis: 92.522, usercpu_time_millis_testing: 7.7, usercpu_time_millis_training: 84.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.7855, kappa: 0.5585, kb_relative_information_score: 17743.9001, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7943, predictive_accuracy: 0.7902, prior_entropy: 0.9835, recall: 0.7902, relative_absolute_error: 0.6426, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7712, scimark_benchmark: 1855.0232, usercpu_time_millis: 61.54, usercpu_time_millis_testing: 3.632, usercpu_time_millis_training: 57.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.8601, kappa: 0.7128, kb_relative_information_score: 22602.8929, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8603, predictive_accuracy: 0.8606, prior_entropy: 0.9835, recall: 0.8606, relative_absolute_error: 0.5445, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6644, scimark_benchmark: 1828.2308, usercpu_time_millis: 46.849, usercpu_time_millis_testing: 3.267, usercpu_time_millis_training: 43.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.7982, kappa: 0.5847, kb_relative_information_score: 16577.4078, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8051, predictive_accuracy: 0.802, prior_entropy: 0.9835, recall: 0.802, relative_absolute_error: 0.6751, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7693, scimark_benchmark: 1819.4765, usercpu_time_millis: 91.062, usercpu_time_millis_testing: 8.135, usercpu_time_millis_training: 82.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.8897, kappa: 0.7741, kb_relative_information_score: 28798.6551, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8897, predictive_accuracy: 0.8898, prior_entropy: 0.9835, recall: 0.8898, relative_absolute_error: 0.3919, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.5831, scimark_benchmark: 1856.0123, usercpu_time_millis: 66.2, usercpu_time_millis_testing: 1.543, usercpu_time_millis_training: 64.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7487, kappa: 0.4842, kb_relative_information_score: 9543.2118, mean_absolute_error: 0.405, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7659, predictive_accuracy: 0.7577, prior_entropy: 0.9835, recall: 0.7577, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.431, root_relative_squared_error: 0.872, scimark_benchmark: 1846.6923, usercpu_time_millis: 37.75, usercpu_time_millis_testing: 2.464, usercpu_time_millis_training: 35.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8313, kappa: 0.6537, kb_relative_information_score: 22920.1104, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8313, predictive_accuracy: 0.8318, prior_entropy: 0.9835, recall: 0.8318, relative_absolute_error: 0.5237, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.6947, scimark_benchmark: 1824.7316, usercpu_time_millis: 59.444, usercpu_time_millis_testing: 2.662, usercpu_time_millis_training: 56.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.7636, 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: 1841.1577, usercpu_time_millis: 38.882, usercpu_time_millis_testing: 6.752, usercpu_time_millis_training: 32.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.6085, 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: 53.204, usercpu_time_millis_testing: 8.892, usercpu_time_millis_training: 44.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.7574, kappa: 0.5021, kb_relative_information_score: 14995.1415, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7752, predictive_accuracy: 0.766, prior_entropy: 0.9835, recall: 0.766, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.809, scimark_benchmark: 1820.2332, usercpu_time_millis: 27.013, usercpu_time_millis_testing: 2.364, usercpu_time_millis_training: 24.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.8571, kappa: 0.707, kb_relative_information_score: 25726.6709, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8571, predictive_accuracy: 0.8574, prior_entropy: 0.9835, recall: 0.8574, relative_absolute_error: 0.46, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.6443, scimark_benchmark: 1849.8294, usercpu_time_millis: 68.758, usercpu_time_millis_testing: 2.077, usercpu_time_millis_training: 66.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4204, kb_relative_information_score: -1.0617, 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: 1783.5727, usercpu_time_millis: 30.505, usercpu_time_millis_testing: 4.92, usercpu_time_millis_training: 25.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 14200.8023, mean_absolute_error: 0.3525, 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: 0.7214, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.8411, scimark_benchmark: 1797.2365, usercpu_time_millis: 63.499, usercpu_time_millis_testing: 5.924, usercpu_time_millis_training: 57.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.833, 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: 1852.9259, usercpu_time_millis: 64.691, usercpu_time_millis_testing: 6.868, usercpu_time_millis_training: 57.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.786, 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: 30.566, usercpu_time_millis_testing: 5.296, usercpu_time_millis_training: 25.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 14295.6571, mean_absolute_error: 0.3507, 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: 0.7178, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8454, scimark_benchmark: 1849.3014, usercpu_time_millis: 48.612, usercpu_time_millis_testing: 3.596, usercpu_time_millis_training: 45.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7545, kappa: 0.4952, kb_relative_information_score: 14769.8436, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7666, predictive_accuracy: 0.7616, prior_entropy: 0.9835, recall: 0.7616, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8249, scimark_benchmark: 1802.6298, usercpu_time_millis: 50.039, usercpu_time_millis_testing: 3.781, usercpu_time_millis_training: 46.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8563, kappa: 0.7054, kb_relative_information_score: 25561.4435, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8563, predictive_accuracy: 0.8566, prior_entropy: 0.9835, recall: 0.8566, relative_absolute_error: 0.4642, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.6458, scimark_benchmark: 1792.8869, usercpu_time_millis: 31.177, usercpu_time_millis_testing: 1.144, usercpu_time_millis_training: 30.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.7486, kappa: 0.4838, kb_relative_information_score: 14189.0643, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7573, prior_entropy: 0.9835, recall: 0.7573, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8435, scimark_benchmark: 1814.2277, usercpu_time_millis: 43.313, usercpu_time_millis_testing: 3.266, usercpu_time_millis_training: 40.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.7784, kappa: 0.5438, kb_relative_information_score: 17740.5554, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7843, predictive_accuracy: 0.7824, prior_entropy: 0.9835, recall: 0.7824, relative_absolute_error: 0.6392, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.7874, scimark_benchmark: 1792.9887, usercpu_time_millis: 25.288, usercpu_time_millis_testing: 1.424, usercpu_time_millis_training: 23.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.757, kappa: 0.5013, kb_relative_information_score: 14046.681, mean_absolute_error: 0.3564, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7752, predictive_accuracy: 0.7658, prior_entropy: 0.9835, recall: 0.7658, relative_absolute_error: 0.7294, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8148, scimark_benchmark: 1840.6297, usercpu_time_millis: 47.121, usercpu_time_millis_testing: 4.329, usercpu_time_millis_training: 42.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7487, kappa: 0.4841, kb_relative_information_score: 14867.086, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7652, predictive_accuracy: 0.7575, prior_entropy: 0.9835, recall: 0.7575, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8279, scimark_benchmark: 1855.0989, usercpu_time_millis: 64.483, usercpu_time_millis_testing: 5.14, usercpu_time_millis_training: 59.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.7631, kappa: 0.5134, kb_relative_information_score: 15237.7114, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7792, predictive_accuracy: 0.7709, prior_entropy: 0.9835, recall: 0.7709, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.7994, scimark_benchmark: 1846.8212, usercpu_time_millis: 58.552, usercpu_time_millis_testing: 4.015, usercpu_time_millis_training: 54.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.2696, 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: 1841.1577, usercpu_time_millis: 68.267, usercpu_time_millis_testing: 9.536, usercpu_time_millis_training: 58.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.752, kappa: 0.4917, kb_relative_information_score: 8392.9113, mean_absolute_error: 0.4162, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7735, predictive_accuracy: 0.762, prior_entropy: 0.9835, recall: 0.762, relative_absolute_error: 0.8518, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.8828, scimark_benchmark: 1853.3841, usercpu_time_millis: 62.553, usercpu_time_millis_testing: 5.733, usercpu_time_millis_training: 56.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8175, kappa: 0.6253, kb_relative_information_score: 21198.0779, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8176, predictive_accuracy: 0.8182, prior_entropy: 0.9835, recall: 0.8182, relative_absolute_error: 0.5627, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.724, scimark_benchmark: 1804.7288, usercpu_time_millis: 43.981, usercpu_time_millis_testing: 1.767, usercpu_time_millis_training: 42.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.8939, kappa: 0.7825, kb_relative_information_score: 28470.975, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8939, predictive_accuracy: 0.8941, prior_entropy: 0.9835, recall: 0.8941, relative_absolute_error: 0.4049, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.5724, scimark_benchmark: 1817.9594, usercpu_time_millis: 34.797, usercpu_time_millis_testing: 2.515, usercpu_time_millis_training: 32.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9104, kappa: 0.8165, kb_relative_information_score: 32558.9739, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9104, predictive_accuracy: 0.9104, prior_entropy: 0.9835, recall: 0.9104, relative_absolute_error: 0.301, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.5249, scimark_benchmark: 1849.8294, usercpu_time_millis: 6.977, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 6.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.7884, kappa: 0.5649, kb_relative_information_score: 17996.6094, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.79, predictive_accuracy: 0.7905, prior_entropy: 0.9835, recall: 0.7905, relative_absolute_error: 0.6358, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7766, scimark_benchmark: 1852.9259, usercpu_time_millis: 46.571, usercpu_time_millis_testing: 3.042, usercpu_time_millis_training: 43.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7486, kappa: 0.4839, kb_relative_information_score: 15456.151, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7652, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.6901, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8213, scimark_benchmark: 1853.3841, usercpu_time_millis: 18.763, usercpu_time_millis_testing: 0.803, usercpu_time_millis_training: 17.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7509, kappa: 0.4887, kb_relative_information_score: 13213.9647, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7671, predictive_accuracy: 0.7595, prior_entropy: 0.9835, recall: 0.7595, relative_absolute_error: 0.746, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8377, scimark_benchmark: 1794.5001, usercpu_time_millis: 21.36, usercpu_time_millis_testing: 1.538, usercpu_time_millis_training: 19.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.7485, kappa: 0.4838, kb_relative_information_score: 12632.2016, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7573, prior_entropy: 0.9835, recall: 0.7573, relative_absolute_error: 0.762, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8558, scimark_benchmark: 1836.6101, usercpu_time_millis: 6.46, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 6.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.8189, kappa: 0.6283, kb_relative_information_score: 21492.5803, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8189, predictive_accuracy: 0.8195, prior_entropy: 0.9835, recall: 0.8195, relative_absolute_error: 0.5551, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7223, scimark_benchmark: 1805.2569, usercpu_time_millis: 6.839, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 6.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.0961, 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: 1784.5329, usercpu_time_millis: 48.81, usercpu_time_millis_testing: 6.006, usercpu_time_millis_training: 42.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7543, kappa: 0.4966, kb_relative_information_score: 10449.2135, mean_absolute_error: 0.3954, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7769, predictive_accuracy: 0.7645, prior_entropy: 0.9835, recall: 0.7645, relative_absolute_error: 0.8093, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.853, scimark_benchmark: 1838.0313, usercpu_time_millis: 58.148, usercpu_time_millis_testing: 4.942, usercpu_time_millis_training: 53.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.7489, kappa: 0.4847, kb_relative_information_score: 9529.3528, mean_absolute_error: 0.4051, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7659, predictive_accuracy: 0.7579, prior_entropy: 0.9835, recall: 0.7579, relative_absolute_error: 0.8291, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.8723, scimark_benchmark: 1804.7288, usercpu_time_millis: 29.816, usercpu_time_millis_testing: 2.171, usercpu_time_millis_training: 27.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.8412, kappa: 0.6738, kb_relative_information_score: 22853.7943, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8416, predictive_accuracy: 0.8419, prior_entropy: 0.9835, recall: 0.8419, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6808, scimark_benchmark: 1853.9121, usercpu_time_millis: 42.256, usercpu_time_millis_testing: 1.929, usercpu_time_millis_training: 40.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.7541, kappa: 0.4958, kb_relative_information_score: 9618.7775, mean_absolute_error: 0.4037, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7739, predictive_accuracy: 0.7635, prior_entropy: 0.9835, recall: 0.7635, relative_absolute_error: 0.8263, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8679, scimark_benchmark: 1850.8706, usercpu_time_millis: 46.249, usercpu_time_millis_testing: 5.187, usercpu_time_millis_training: 41.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.754, kappa: 0.4956, kb_relative_information_score: 10914.8346, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.774, predictive_accuracy: 0.7635, prior_entropy: 0.9835, recall: 0.7635, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.8522, scimark_benchmark: 1832.1397, usercpu_time_millis: 46.28, usercpu_time_millis_testing: 5.862, usercpu_time_millis_training: 40.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.4212, 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: 1846.1643, usercpu_time_millis: 37.989, usercpu_time_millis_testing: 6.531, usercpu_time_millis_training: 31.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.9324, 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: 1817.0461, usercpu_time_millis: 22.686, usercpu_time_millis_testing: 3.71, usercpu_time_millis_training: 18.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8563, kappa: 0.7054, kb_relative_information_score: 25658.3227, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8563, predictive_accuracy: 0.8567, prior_entropy: 0.9835, recall: 0.8567, relative_absolute_error: 0.4604, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.323, root_relative_squared_error: 0.6534, scimark_benchmark: 1827.287, usercpu_time_millis: 3.12, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 2.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.7491, kappa: 0.485, kb_relative_information_score: 13609.8383, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7662, predictive_accuracy: 0.758, prior_entropy: 0.9835, recall: 0.758, relative_absolute_error: 0.736, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8383, scimark_benchmark: 1796.0572, usercpu_time_millis: 12.078, usercpu_time_millis_testing: 0.925, usercpu_time_millis_training: 11.153,

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