newsReddit r/MachineLearningTrust 52 · CommunityPublished 22d agoLive · 22d ago
High validation accuracy can conceal production risk: Using SHAP to expose and block proxy bias at runtime [P]
To demonstrate a problem that accuracy-only model validation often misses, here is a breakdown of a synthetic hiring-screening pipeline where a model cheats the metric, and how to physically intercept the failure at runtime. A logistic regression model was trained using three features: technical assessment score, years of experience, and a synthetic postcode indicator. The model achieved 94.2% validation accuracy. Without feature-level analysis,
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