Which metric is most appropriate for evaluating a regression model?

Machine Learning Easy

Machine Learning — Easy

Which metric is most appropriate for evaluating a regression model?

Key points

  • MAE calculates the absolute difference between predicted and actual values
  • Accuracy and F1-Score are more suitable for classification models
  • AUC is used for evaluating binary classification models

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