In the context of machine learning models, how does the choice of evaluation metric (e.g., accuracy, ROC-AUC, mean squared error) affect model selection and interpretation?

In the context of machine learning models, how does the choice of evaluation metric (e.g., accuracy, ROC-AUC, mean squared error) affect model selection and interpretation?
Admin on July 27 2025 at 05:03 PM in Performance Metrics
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