OpenML
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 145834 Supervised Classification banknote-authentication 43621 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1294.6731, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0654, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1024, root_relative_squared_error: 0.206, scimark_benchmark: 1853.4563, usercpu_time_millis: 11.893, usercpu_time_millis_testing: 0.796, usercpu_time_millis_training: 11.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1288.1542, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.2142, scimark_benchmark: 1870.742, usercpu_time_millis: 8.305, usercpu_time_millis_testing: 0.611, usercpu_time_millis_training: 7.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9665, kappa: 0.9322, kb_relative_information_score: 1094.549, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9666, predictive_accuracy: 0.9665, prior_entropy: 0.9912, recall: 0.9665, relative_absolute_error: 0.2338, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.376, scimark_benchmark: 1836.6182, usercpu_time_millis: 2.9, usercpu_time_millis_testing: 0.449, usercpu_time_millis_training: 2.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3966, kb_relative_information_score: -0.0785, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1852.0263, usercpu_time_millis: 0.753, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9781, kappa: 0.9558, kb_relative_information_score: 1096.7985, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9782, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.2393, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.3444, scimark_benchmark: 1856.1701, usercpu_time_millis: 1.899, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 1.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1305.3872, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0572, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.1726, scimark_benchmark: 1867.0779, usercpu_time_millis: 4.697, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 4.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9752, kappa: 0.9499, kb_relative_information_score: 1080.5815, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9754, predictive_accuracy: 0.9752, prior_entropy: 0.9912, recall: 0.9752, relative_absolute_error: 0.2532, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3557, scimark_benchmark: 1865.4692, usercpu_time_millis: 5.117, usercpu_time_millis_testing: 0.54, usercpu_time_millis_training: 4.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1243.4995, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.227, scimark_benchmark: 1843.2144, usercpu_time_millis: 1.391, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 1.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 761.0518, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6388, scimark_benchmark: 1856.624, usercpu_time_millis: 0.259, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 0.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1299.9489, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1023, root_relative_squared_error: 0.2059, scimark_benchmark: 1852.7466, usercpu_time_millis: 7.822, usercpu_time_millis_testing: 0.525, usercpu_time_millis_training: 7.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1237.0455, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.2686, scimark_benchmark: 1850.9526, usercpu_time_millis: 9.781, usercpu_time_millis_testing: 0.904, usercpu_time_millis_training: 8.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9105, kappa: 0.8182, kb_relative_information_score: 852.7135, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9135, predictive_accuracy: 0.9111, prior_entropy: 0.9912, recall: 0.9111, relative_absolute_error: 0.4268, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.269, root_relative_squared_error: 0.5413, scimark_benchmark: 1870.9126, usercpu_time_millis: 1.497, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1260.6885, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.0952, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1135, root_relative_squared_error: 0.2285, scimark_benchmark: 1869.6309, usercpu_time_millis: 5.821, usercpu_time_millis_testing: 0.533, usercpu_time_millis_training: 5.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1218.0252, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.2639, scimark_benchmark: 1757.3375, usercpu_time_millis: 9.479, usercpu_time_millis_testing: 0.718, usercpu_time_millis_training: 8.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1252.1145, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.1075, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2053, scimark_benchmark: 1759.8219, usercpu_time_millis: 7.937, usercpu_time_millis_testing: 0.834, usercpu_time_millis_training: 7.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9832, kappa: 0.966, kb_relative_information_score: 1234.5915, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9833, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.27, scimark_benchmark: 1869.6309, usercpu_time_millis: 6.458, usercpu_time_millis_testing: 0.602, usercpu_time_millis_training: 5.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1289.3761, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.072, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.186, scimark_benchmark: 1847.084, usercpu_time_millis: 8.034, usercpu_time_millis_testing: 0.784, usercpu_time_millis_training: 7.25,
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: 0.9984, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1249.939, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.1028, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.254, scimark_benchmark: 1874.5188, usercpu_time_millis: 4.853, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 4.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1275.3469, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0844, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.2004, scimark_benchmark: 1851.0585, usercpu_time_millis: 5.926, usercpu_time_millis_testing: 0.612, usercpu_time_millis_training: 5.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1283.1737, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0788, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.182, scimark_benchmark: 1869.6309, usercpu_time_millis: 3.679, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 3.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.8582, kappa: 0.7138, kb_relative_information_score: 659.016, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8596, predictive_accuracy: 0.8579, prior_entropy: 0.9912, recall: 0.8579, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.673, scimark_benchmark: 1872.9496, usercpu_time_millis: 3.133, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 2.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9066, kappa: 0.8104, kb_relative_information_score: 683.7554, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9109, predictive_accuracy: 0.9074, prior_entropy: 0.9912, recall: 0.9074, relative_absolute_error: 0.5619, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.311, root_relative_squared_error: 0.6259, scimark_benchmark: 1853.3115, usercpu_time_millis: 2.352, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 2.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9723, kappa: 0.9438, kb_relative_information_score: 1136.3913, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9724, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.1989, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.3405, scimark_benchmark: 1860.9826, usercpu_time_millis: 1.595, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 1.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.981, kappa: 0.9616, kb_relative_information_score: 1168.4267, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.1749, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.3051, scimark_benchmark: 1869.7524, usercpu_time_millis: 4.422, usercpu_time_millis_testing: 0.553, usercpu_time_millis_training: 3.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1195.5021, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.1559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.2634, scimark_benchmark: 1756.5016, usercpu_time_millis: 5.832, usercpu_time_millis_testing: 0.751, usercpu_time_millis_training: 5.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1315.1812, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0473, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.1739, scimark_benchmark: 1870.9768, usercpu_time_millis: 6.465, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 6.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9832, kappa: 0.966, kb_relative_information_score: 1185.9457, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9833, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.1602, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.2899, scimark_benchmark: 1852.355, usercpu_time_millis: 4.336, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 3.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.8962, kappa: 0.7892, kb_relative_information_score: 637.4987, mean_absolute_error: 0.2944, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9014, predictive_accuracy: 0.8972, prior_entropy: 0.9912, recall: 0.8972, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.6527, scimark_benchmark: 1759.0068, usercpu_time_millis: 3.247, usercpu_time_millis_testing: 0.436, usercpu_time_millis_training: 2.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1313.1819, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0499, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.1674, scimark_benchmark: 1759.0068, usercpu_time_millis: 3.667, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 3.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1207.5911, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.146, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.2502, scimark_benchmark: 1866.6164, usercpu_time_millis: 0.898, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9563, kappa: 0.9114, kb_relative_information_score: 1049.8487, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9563, predictive_accuracy: 0.9563, prior_entropy: 0.9912, recall: 0.9563, relative_absolute_error: 0.2697, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4158, scimark_benchmark: 1859.825, usercpu_time_millis: 2.123, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 1.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1233.0452, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2601, scimark_benchmark: 1759.0068, usercpu_time_millis: 4.486, usercpu_time_millis_testing: 0.478, usercpu_time_millis_training: 4.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9636, kappa: 0.9263, kb_relative_information_score: 979.2023, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9636, predictive_accuracy: 0.9636, prior_entropy: 0.9912, recall: 0.9636, relative_absolute_error: 0.3343, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.4355, scimark_benchmark: 1846.0549, usercpu_time_millis: 4.067, usercpu_time_millis_testing: 0.639, usercpu_time_millis_training: 3.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1216.0752, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.1357, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.2585, scimark_benchmark: 1867.4545, usercpu_time_millis: 6.464, usercpu_time_millis_testing: 0.676, usercpu_time_millis_training: 5.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1221.0643, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.135, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1164, root_relative_squared_error: 0.2342, scimark_benchmark: 1868.7112, usercpu_time_millis: 1.652, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 1.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1258.0999, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.0956, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.2464, scimark_benchmark: 1871.2001, usercpu_time_millis: 1.626, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 1.515,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9584, kappa: 0.9155, kb_relative_information_score: 1143.9378, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9589, predictive_accuracy: 0.9585, prior_entropy: 0.9912, recall: 0.9585, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.3654, scimark_benchmark: 1855.2567, usercpu_time_millis: 3.873, usercpu_time_millis_testing: 0.454, usercpu_time_millis_training: 3.419,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1251.1272, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.1081, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.2079, scimark_benchmark: 1850.0944, usercpu_time_millis: 10.846, usercpu_time_millis_testing: 1.423, usercpu_time_millis_training: 9.423,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: 0.0006, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1864.9731, usercpu_time_millis: 1.72, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 1.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: -0.3024, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1851.5125, usercpu_time_millis: 0.227, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1269.8794, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1188, root_relative_squared_error: 0.239, scimark_benchmark: 1824.6222, usercpu_time_millis: 1.928, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 1.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9423, kappa: 0.8829, kb_relative_information_score: 1045.7232, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9428, predictive_accuracy: 0.9424, prior_entropy: 0.9912, recall: 0.9424, relative_absolute_error: 0.2658, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.4458, scimark_benchmark: 1735.5762, usercpu_time_millis: 5.441, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 4.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1243.9879, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.1148, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1056, root_relative_squared_error: 0.2125, scimark_benchmark: 1828.024, usercpu_time_millis: 3.633, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 3.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9832, kappa: 0.9661, kb_relative_information_score: 1169.8859, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9832, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.1748, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.3007, scimark_benchmark: 1845.348, usercpu_time_millis: 7.567, usercpu_time_millis_testing: 0.904, usercpu_time_millis_training: 6.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1287.3075, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0736, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.1904, scimark_benchmark: 1843.0034, usercpu_time_millis: 2.066, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 1.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1196.2859, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.2618, scimark_benchmark: 1837.7525, usercpu_time_millis: 4.638, usercpu_time_millis_testing: 0.843, usercpu_time_millis_training: 3.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9665, kappa: 0.9322, kb_relative_information_score: 1129.3416, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9666, predictive_accuracy: 0.9665, prior_entropy: 0.9912, recall: 0.9665, relative_absolute_error: 0.2049, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.174, root_relative_squared_error: 0.3502, scimark_benchmark: 1841.0391, usercpu_time_millis: 2.56, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 2.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1302.8725, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0589, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.181, scimark_benchmark: 1846.764, usercpu_time_millis: 7.041, usercpu_time_millis_testing: 0.578, usercpu_time_millis_training: 6.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1280.4244, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0814, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.1842, scimark_benchmark: 1757.2839, usercpu_time_millis: 8.031, usercpu_time_millis_testing: 0.858, usercpu_time_millis_training: 7.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.8764, kappa: 0.7506, kb_relative_information_score: 880.0129, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8779, predictive_accuracy: 0.8761, prior_entropy: 0.9912, recall: 0.8761, relative_absolute_error: 0.3903, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.5713, scimark_benchmark: 1841.5493, usercpu_time_millis: 0.69, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1262.0066, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1045, root_relative_squared_error: 0.2104, scimark_benchmark: 1839.9154, usercpu_time_millis: 5.627, usercpu_time_millis_testing: 0.513, usercpu_time_millis_training: 5.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.8757, kappa: 0.7492, kb_relative_information_score: 832.9783, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8774, predictive_accuracy: 0.8754, prior_entropy: 0.9912, recall: 0.8754, relative_absolute_error: 0.4332, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2866, root_relative_squared_error: 0.5768, scimark_benchmark: 1836.4708, usercpu_time_millis: 2.199, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 1.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1265.9511, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0918, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.2178, scimark_benchmark: 1840.581, usercpu_time_millis: 0.928, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1237.9823, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.119, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1125, root_relative_squared_error: 0.2263, scimark_benchmark: 1830.0638, usercpu_time_millis: 0.324, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.8625, kappa: 0.7226, kb_relative_information_score: 756.2898, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8638, predictive_accuracy: 0.8622, prior_entropy: 0.9912, recall: 0.8622, relative_absolute_error: 0.4938, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.629, scimark_benchmark: 1838.1099, usercpu_time_millis: 0.945, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9636, kappa: 0.9263, kb_relative_information_score: 1096.3894, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9636, predictive_accuracy: 0.9636, prior_entropy: 0.9912, recall: 0.9636, relative_absolute_error: 0.2315, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.3799, scimark_benchmark: 1846.8389, usercpu_time_millis: 8.009, usercpu_time_millis_testing: 0.869, usercpu_time_millis_training: 7.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9152, kappa: 0.828, kb_relative_information_score: 1010.8239, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9158, predictive_accuracy: 0.9155, prior_entropy: 0.9912, recall: 0.9155, relative_absolute_error: 0.285, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.5108, scimark_benchmark: 1856.3001, usercpu_time_millis: 3.013, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 2.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.856, kappa: 0.7098, kb_relative_information_score: 747.4247, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.858, predictive_accuracy: 0.8557, prior_entropy: 0.9912, recall: 0.8557, relative_absolute_error: 0.4995, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.6546, scimark_benchmark: 1838.0389, usercpu_time_millis: 0.185, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 0.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.8582, kappa: 0.7138, kb_relative_information_score: 656.5765, mean_absolute_error: 0.2835, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8596, predictive_accuracy: 0.8579, prior_entropy: 0.9912, recall: 0.8579, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.334, root_relative_squared_error: 0.6721, scimark_benchmark: 1854.7429, usercpu_time_millis: 1.834, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 1.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1295.5191, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0641, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.209, scimark_benchmark: 1730.9687, usercpu_time_millis: 5.796, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 5.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9912, kappa: 0.9823, kb_relative_information_score: 1304.1486, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0567, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.1995, scimark_benchmark: 1855.7107, usercpu_time_millis: 3.202, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 3.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1129.9969, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.2124, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.3152, scimark_benchmark: 1838.2098, usercpu_time_millis: 3.722, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 3.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1278.3561, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0816, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.1982, scimark_benchmark: 1858.6083, usercpu_time_millis: 4.803, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 4.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1296.7863, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0626, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1048, root_relative_squared_error: 0.2108, scimark_benchmark: 1138.5121, usercpu_time_millis: 1.651, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 1.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9701, kappa: 0.9395, kb_relative_information_score: 1139.0434, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.9912, recall: 0.9701, relative_absolute_error: 0.1947, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3487, scimark_benchmark: 1849.0023, usercpu_time_millis: 4.147, usercpu_time_millis_testing: 0.394, usercpu_time_millis_training: 3.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9157, kappa: 0.8287, kb_relative_information_score: 967.7469, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9182, predictive_accuracy: 0.9162, prior_entropy: 0.9912, recall: 0.9162, relative_absolute_error: 0.3258, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.5086, scimark_benchmark: 1846.8389, usercpu_time_millis: 4.597, usercpu_time_millis_testing: 0.619, usercpu_time_millis_training: 3.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9614, kappa: 0.9218, kb_relative_information_score: 992.1504, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9614, predictive_accuracy: 0.9614, prior_entropy: 0.9912, recall: 0.9614, relative_absolute_error: 0.3229, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4314, scimark_benchmark: 1752.1764, usercpu_time_millis: 1.944, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 1.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8524, kappa: 0.7026, kb_relative_information_score: 754.2154, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8546, predictive_accuracy: 0.852, prior_entropy: 0.9912, recall: 0.852, relative_absolute_error: 0.4894, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6738, scimark_benchmark: 1866.1582, usercpu_time_millis: 1.783, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 1.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1296.3865, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.1788, scimark_benchmark: 1858.1812, usercpu_time_millis: 4.63, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 4.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9701, kappa: 0.9396, kb_relative_information_score: 1120.8802, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9703, predictive_accuracy: 0.9701, prior_entropy: 0.9912, recall: 0.9701, relative_absolute_error: 0.2129, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.3511, scimark_benchmark: 1855.6563, usercpu_time_millis: 3.581, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 3.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9811, kappa: 0.9617, kb_relative_information_score: 1113.2084, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.2253, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3335, scimark_benchmark: 1850.163, usercpu_time_millis: 1.153, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 0.894,

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