How to Detect Data Leakage in Training Pipelines
Data leakage represents one of the most insidious problems in machine learning, creating models that perform brilliantly during development but fail catastrophically in production. Unlike bugs that announce themselves through errors or crashes, leakage operates silently—your cross-validation scores look exceptional, stakeholders celebrate the breakthrough performance, and only after deployment do you discover that the model’s … Read more