Databricks Certified Machine Learning - Associate
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When is the F1 score considered a more useful metric than accuracy, and why?
A
When classes are balanced and precision is the primary concern.
B
When classes are imbalanced, and there is a need to reduce false negatives.
C
When accuracy is the sole focus, regardless of class distribution.
D
When classes are imbalanced, and there is a need to reduce false positives.