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You are developing a binary classification ML gcp video

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Full Certification Question

You are developing a binary classification ML algorithm that aims to identify whether an image of a scanned document contains a company's logo. However, in the dataset, a significant imbalance exists, with 96% of examples not featuring the logo. To ensure the highest confidence in your model's performance, which metrics should you prioritize?