The values measured in the above DoE experiment are easily translated into features usable for a machine learning model. The pH, %EB, and output of the model are all numeric features of the model. While it would be possible to treat some of these values as one-hot encoded vectors, the true utility of the model would be to use for the optimization of these parameters. Since this ability is not possible using a one-hot encoded vector, we opted to treat these values numerically.