Deducing of Optimal Machine Learning Algorithms for Heterogeneity
Omar Alfarisi, Zeyar Aung, Mohamed Sassi · 2021
For defining the optimal machine learning algorithm, the decision was not easy for which we shall choose. To help future researchers, we describe in this paper the optimal among the best of the algorithms. We built a synthetic data set and performed the supervised machine learning runs for five different algorithms. For heterogeneity, we identified Random Forest, among others, to be the best algorithm.