Imagine you are solving a classification problem with a highly imbalanced class.

The majority class is observed 99% of the time in the training data. Your model has 99% accuracy after taking the predictions on the test set. Which of the following is true in such a case?

1. The accuracy metric is not a good idea for imbalanced class problems.
2. The accuracy metric is a good idea for imbalanced class problems.
3. Precision and recall metrics are good for imbalanced class problems.
4. Precision and recall metrics aren’t good for imbalanced class problems.