Skip to main content
Fig. 3 | BMC Bioinformatics

Fig. 3

From: Feature selection for RNA cleavage efficiency at specific sites using the LASSO regression model in Arabidopsis thaliana

Fig. 3

Optimizing the tuning parameters in the LASSO regression model. Average mean square error (MSE) was calculated in tenfold cross validation (tenfold CV) by changing the parameter λ in LASSO regression. The number of non-zero features in the LASSO regression model was also calculated, and the parameter λ was determined according to the average MSE and the number of non-zero features in the LASSO regression model (a). The same data processing approach was used for the LASSO regression model, which used only sequence information (b). The Y-axis indicates the number of non-zero features in the LASSO regression model. The X-axis indicates the average MSE in tenfold CV. λ (0.01) was used in each regression model

Back to article page