Validating a Handicapping Model

Validating a Handicapping Model

Learning objectives

Understand the core method; reproduce the worked example; diagnose at least two failure modes; apply a testable practice workflow.

A model is useful only if it performs on data it did not use during fitting or selection. Good historical stories are not sufficient. This lesson establishes a reproducible testing standard.

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Validating a Handicapping Model | Sharp Academy