Skip to main content
Fig. 9 | Plant Methods

Fig. 9

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

Fig. 9

Box plots of measured and predicted SY of rapeseed using selected traits as inputs. Algorithms are sorted based on the highest to lowest R2 value from left to right. A. Training stage. B. Testing stage. MLR multiple linear regression, GLM generalized linear model, NuSVR nu-support vector regression, ESVR epsilon support vector regression, MLPNN multilayer perceptron neural network, RBF radial basis function, CP cubic polynomial, FS forward selection, SS stepwise selection, BS backward selection

Back to article page

Plant Methods

ISSN: 1746-4811