Table 6 ML: model optimal hyperparameters.

MR

normalize = True, fit intercept = True

LR

n_alphas = 50, max_iter = 2000, eps = 0.0001, cv = 3

RG

normalize = True, fit intercept = True, cv = 3

RF

n_estimators = 1400, min_samples_split = 2, min_samples_leaf = 1, max_features = 'auto', max_depth = 100, bootstrap = True

GB

n_estimators = 1200, min_samples_split = 5, min_samples_leaf = 4, max_depth = 10, loss = 'ls', learning_rate = 0.1, criterion = 'mse'

SMR-ML

normalize = True, fit intercept = True