Table 1. List of the machine learning algorithms’ parameters with optimized values.

Machine learning algorithm	Parameter name	Parameter value
XGBoost	Loss function	log_oss
	Number of boosting stages	100
	Function to measure the quality of a split	friedman_mse
	Minimum number of samples required to split	2
	Minimum number of samples required to be at a leaf node	1
RF	Criterion of trees	gini
	Number of trees in the forest	100
	Minimum number of samples required to split	2
	Minimum number of samples required to be at a leaf node	1
	Number of features for the best split	sqrt