Table 4.

Statistics corresponding to the training set score for the optimal models of each of the ML algorithms.

Algorithm	RMSE	Rsquared
KNN	1851.174	0.905
RF	1271.060	0.957
MLP	6582.955	0.284
SVM	1790.536	0.901

ML: Machine Learning; RMSE, Root Mean Squared Error; KNN: nearest k-neighbor algorithm; RF: Random Forest; MLP: Multi-Layer Perceptron; SVM: Support Vector Machine.