Let's assume you are solving a classification problem with a highly im

1.	Let's assume you are solving a classification problem with a highly imbalanced class.
Answer» 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.

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