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Related Questions
- What are the key differences between precision, recall, and F1-score in evaluating model performance?
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- What is the purpose of using metrics like mean squared error (MSE) and mean absolute error (MAE) in regression tasks?
- How do metrics like Matthews correlation coefficient (MCC) and Cohen's kappa differ from other classification metrics?
- What is the significance of using metrics like AUC-ROC and AUC-PR in evaluating model performance?
- How do metrics like F1-score and F2-score differ in their application, and when would you choose one over the other?
- What is the role of metrics like top-k accuracy and mean average precision (MAP) in evaluating model performance, especially in tasks like question answering and information retrieval?
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