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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

1 Answer

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Correct answer of above question is : b) For imbalanced class problems, the accuracy metric is not a good idea.

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