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What are some common evaluation metrics for classification and regression problems?
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Answer / Ayushi Gupta
For classification problems, common evaluation metrics include accuracy, precision, recall, F1-score, and AUC-ROC. For regression problems, metrics like mean absolute error (MAE), root mean squared error (RMSE), R-squared, and mean squared error (MSE) are often used.
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