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Model Evaluation

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Regression Metrics

Regression Metrics

Jul 10, 20261 min read

INFO

This folder contains evaluation metrics for regression models.
These metrics assess prediction accuracy, error magnitude, and model fit.
Use this index to navigate by error type or interpretability.

Error-Based Metrics

  • Mean Absolute Error (MAE)
  • Mean Squared Error (MSE)
  • Root Mean Squared Error (RMSE)
  • Mean Absolute Percentage Error (MAPE)

Fit-Based Metrics

  • R-Squared (R²)
  • Adjusted R-Squared (Adjusted R²)

6 items under this folder.

  • Jul 10, 2026

    Adjusted R-Squared (Adjusted R²)

    • Jul 10, 2026

      Mean Absolute Error (MAE)

      • Jul 10, 2026

        Mean Absolute Percentage Error (MAPE)

        • Jul 10, 2026

          Mean Squared Error (MSE)

          • Jul 10, 2026

            R-Squared (R²)

            • Jul 10, 2026

              Root Mean Squared Error (RMSE)


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