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You are working on a binary classification machine learning algorithm to detect whether an image of a scanned document contains a company’s logo. The dataset you're using is highly imbalanced with 96% of examples not containing the logo. Considering this skewed distribution, which metric would give you the most confidence in evaluating your model's performance?
A
F-score where recall is weighed more than precision
B
RMSE
C
F1 score
D
F-score where precision is weighed more than recall