Following the approach of individual regressor for each axis, three RF regressors were trained. The cross-validation inner loop was set to optimize the number of estimators (trees), the maximum number of features in each tree, and the leaf size are of those parameters through {5,10,…,500}, {2,3,…,23}, and {1,2,…,5}, respectively.