Let's assume you are solving a classification problem with a highly imbalanced class.
The majority class is observed 99% of the time in the training data.
Select the correct answer from below options:
Which of the following is true when your model has 99% accuracy after taking the predictions on test data?
a) For imbalanced class problems, precision and recall metrics are not good.
b) For imbalanced class problems, the accuracy metric is not a good idea.
c) For imbalanced class problems, the accuracy metric is a good idea
