4. Create three supervised machine learning (ML) models except any ensemble approach for predicting presence or absence of protein.

a. Report performance score using a suitable metric. Is it possible that the presented result is an overfitted one? Justify.

b. Justify different design decisions for each ML model used to answer this question.

c. Have you optimized any hyper-parameters for each ML model? What are they?

Why have you done that? Explain.

d. Finally, make a recommendation based on the reported results and justify it.