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Root Mean Squared Error (RMSE)

Definition
AI-generated

The root mean squared error (RMSE) is the square root of MSE, √( (1/n) Σ (yᵢ − ŷᵢ)² ).

Topics
Machine learning concepts
Related
Coefficient of Determination (R²) Mean Absolute Error (MAE) Mean Squared Error (MSE)

Why it matters in GWAS

RMSE summarizes prediction error for quantitative traits and omics readouts in PRS or gene-level prediction benchmarks; side-by-side R², MAE, and RMSE help readers relate results to measurement scale and lab QC targets.

Example usage

"Imputation quality was reported as RMSE of dosage compared with masked high-depth genotypes."

Coefficient of Determination (R²) Mean Absolute Error (MAE) Mean Squared Error (MSE)
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References

  • Willmott CJ, Matsuura K. (2005). Advantages of the mean absolute error (MAE) over the root mean square error (RMSE). Clim Res.
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