résulate

Résulate is a proposed term in the discourse of data science and modeling that refers to a standardized measure of how well observed results align with model predictions. The term is not widely adopted in peer-reviewed literature and is considered a neologism in ongoing discussions.

Etymology: The coinage blends the French word resultat (result) with the English suffix -ate, signaling a quantity or construct related to outcomes or results.

Definition: In suggested formulations, a résulate is computed from the comparison of observed values y_obs and predicted values y_pred, often through a residual-like function g(y_obs, y_pred) that is then normalized to a common scale or distribution. Variants may include using absolute residuals, squared residuals, or robust alternatives, followed by a normalization step to permit comparison across different datasets or models.

Usage: Proponents argue résulates can provide a single interpretable score across diverse tasks, assist in model calibration, and serve as a cross-domain diagnostic tool. Critics note the lack of standardization and potential confusion with existing concepts such as residuals, loss, and goodness-of-fit measures.

Related concepts include residual, loss function, goodness of fit, and model calibration.