(Choose 1 answer)
What is the benefit of using multiple metrics in evaluating a machine learning model?
A. Multiple metrics provide redundancy and do not add any additional value.
B. Multiple metrics allow for a comprehensive assessment of the model's performance.
C. Multiple metrics often contradict each other and confuse the evaluation process.
D. Multiple metrics are not recommended as they can lead to conflicting goals.
Exit 21
