Topic: Choosing and Explaining Nonlinear Forms

Matching Curve Selection to Prediction Loss

Interpreting Unstable Rankings Across Validation Splits

Finding Weakly Supported Regions Within the Data Range

Explaining the Risks of Extrapolating Nonlinear Curves

Explaining Wider Uncertainty Near Data Edges

Enforcing Plausible Bounds on Fitted Relationships

Distinguishing Saturation from Polynomial Turning Points

Criteria for Choosing a Nonlinear Form

Comparing Nonlinear Fits on a Common Outcome Scale

Comparing Residual Structure Across Candidate Forms