Figure 1.

Description of four different prediction designs (Case A, Case B, Case C, and Case D) that split the data into training set (TRN) and testing set (TST). For the four cases, the TRN had 90% of the total number of lines whereas the TST had 10%. BL, Bayesian least absolute shrinkage and selection operator (LASSO); RR, ridge regression; SVR-linear, support vector regression with linear kernel; SVR-RBBF, support vector regression with radial basis function kernel.