Figure 5: Example to demonstrate how many fractions and how many runs are required to train a statical model in chromatography. Modeling error as a function of number of fractions per run (n f) for values of coefficient of variation (cv ) representing accuracy of analytical method. (B) Pseudo-3D contour plot with prediction error as a function of bothn r and n f. From (Felfödi et al., 2020)
Interpolation versus extrapolation
When setting up a prediction model the design space of critical process parameters has to be considered.