Develop the two predictive models and evaluate the performance of the two models. Make sure to construct

optimal configurations of your chosen models both with respect to architecture and values for control

parameters. Describe the process that you have followed to produce an optimal configuration for each

model. For this purpose, carefully decide on the performance metrics that you will use. Conclude on which

one of the two approaches is best for this problem, and support your conclusion with justifications. For

the purposes of this assignment, make sure to report the performance based on a k$-$fold cross$-$validation.

Decide on the number of folds with a justification