An insurance company is building a binary aws video

Full Certification Question

An insurance company is building a binary classification model to predict insurance claims. The training data contains 1800 instances of the positive class (customers who did claim insurance) and 100 instances of the negative class (customers who did not claim insurance). The final model has 85% accuracy, but poor precision. How can you improve the model performance? (Select three)