As I mentioned, since choosing the most successful pre-processing method is a trial and error process it is difficult to recommend using specific one. “Processed” is mainly useful for estimation models in which we assume the Beer-Lambert equation holds. “Normalized” is useful mainly for classification models. Sometimes use of both “processed” and “normalized” is needed when there is variance in the optical path of the samples.
We recommend trying each of the methods and evaluate the model’s performance.
- This reply was modified 7 years, 9 months ago by Ayelet.