Identification and estimation of lodging in bread wheat genotypes using machine learning predictive algorithms

Table 5 Details of parameters used for evaluating yield using MLR, ANN, SVR and RF on training and testing data sets

Models	Training			Testing
Models	R²	RMSE	MAE	R²	RMSE	MAE
Multilinear regression (MLR)	0.686	0.150	0.119	0.580	0.166	0.130
Neural network (ANN)	0.769	0.126	0.089	0.731	0.134	0.095
Random forest (RF)	0.887	0.091	0.067	0.768	0.124	0.094
Support vector regression (SVR)	0.693	0.146	0.109	0.591	0.163	0.122

ISSN: 1746-4811