Table 5.

Model accuracy.

	Training model			Prediction model
	R2 value	MSE	RMSE	R2 value	MSE	RMSE
Linear regression	0.119	3.155	1.776	0.175	2.955	1.719
RF regression	0.775	0.796	0.892	0.759	0.863	0.929

RF, Random forest; MSE, Mean Squared Error; RMSE, Root mean squared error.