Cross Validation Workflow

1. Split Data into Training and Test sets
2. Use Cross Validation on the Training Data
   • Compare Models (logistic regression, KNN)
   • Tune Hyperparameters ($k$, $\lambda$)
3. Choose model with smallest loss from cross validation.
4. Retrain model on all training data
5. Evaluate loss on final tuned model.