New features have been engineered such as debt-to-income ratio, loan-to-value ratio, and credit utilization ratio to improve the model's predictive power.

These features are expected to provide valuable insights into borrowers' creditworthiness and help identify potential loan defaults.

The model's performance has also been evaluated using metrics such as accuracy, precision, recall, and F1 score, and hyperparameters have been tuned using techniques such as grid search or randomized search.

The model is now ready for deployment into production and will be monitored over time to ensure it continues to make accurate predictions.