Application of machine learning algorithms and feature selection in rapeseed (Brassica napus L.) breeding for seed yield

Table 6 The mean of R², RMSE and MAE values of machine learning algorithms with different inputs

Inputs	Training			Testing
Inputs	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

ISSN: 1746-4811