You have built a predictive model to classify loan applications as approved or denied. You are using accuracy, precision, recall, and the FT score to evaluate the model's performance. During evaluation, you notice that the model has high accuracy but low precision and recall.

Interpret the implications of high accuracy but low precision and recall in this context. What does this indicate about the model's predictions, and why might accuracy alone be misleading? Propose a strategy to improve the precision and recall of your model, and explain how you would implement and assess this strategy