| 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.
Choose the correct option from below list
Which of the following is true when your model has 99% accuracy after taking the predictions on test data?
(1)For imbalanced class problems, precision and recall metrics are not good.
(2)For imbalanced class problems, the accuracy metric is not a good idea.
(3)For imbalanced class problems, the accuracy metric is a good idea
Answer:-(2)For imbalanced class problems, the accuracy metric is not a good idea. | | |