Table 6.

The mean of R², RMSE and MAE values of machine learning algorithms with different inputs

Inputs	Training			Testing
	R2	RMSE	MAE	R2	RMSE	MAE
All measured traits	0.826	0.269	0.206	0.823	0.298	0.232
Selected traits by SS/BS	0.775	0.300	0.237	0.784	0.322	0.253
Selected traits by Lasso/FS	0.787	0.295	0.226	0.800	0.314	0.242
Selected traits by PCA	0.720	0.344	0.272	0.761	0.346	0.272
Selected traits by correlation	0.724	0.341	0.269	0.782	0.332	0.264

R² determination coefficient, RMSE root mean square error, MAE mean absolute error, FS forward selection, SS stepwise selection, BS backward selection, PCA principal component analysis