A shotgun approach was used to evaluate how ML models perform for the calculation of potency (%LC) and Total Degradation (TD) from the variables in the DoE. The models were evaluated using k-fold cross validations (k=2, 5, 10 and 20) as well as a bootstrap method provided by Caret package in R . The ML models evaluated are a Generalized Linear Model 26 (GLM), Random Forest 27,28 (RF), Partial Least Squares 29 (PLS), K Nearest Neighbor (KNN), Multi-Layer Perceptron 17