FIGURE 1.

Model development scheme. The dataset was split (step 1) into training (90%) and validation sets (10%). The coefficients for each model were parameterized for the training set using 100 × 5‐fold cross validation (steps 2 and 3), and the performance of the validation set on the final model was determined (step 4). CV, coefficient of variation; RMSE, root mean squared error