During the split, the proportion of the output classes was maintained: all training and test sets had the same prevalence of the original datasets. In order to achieve better performance, handling the problem of imbalanced data, the five training sets were under-sampled [61], taking one random...
In Proceedings of the 2016 IEEE International Conference on Advances in Computer Applications (ICACA), Coimbatore, India, 24 October 2016. [Google Scholar] Ramaswamy, P.C.; Deconinck, G. Smart grid reconfiguration using simple genetic algorithm and NSGA-II. In Proceedings of the IEEE PES ...