Table 8.

Performance of the ensemble and the best individuals of ANN and EXGBoosts.

Techniques	Part	R2	RMSE	MAE	VAF	Accuracy
ANN	Training	0.948	0.567	0.350	94.767	94.247
	Testing	0.928	0.293	0.487	92.773	90.254
EANNs	Training	0.960	0.402	0.233	95.963	95.724
	Testing	0.941	0.189	0.219	92.827	95.713
XGBoost	Training	0.977	0.650	0.402	97.578	96.828
	Testing	0.979	0.536	0.680	97.895	95.528
EXGBoosts	Training	0.990	0.391	0.257	99.013	98.216
	Testing	0.968	0.295	0.427	96.674	96.059