Your Time-Series Validation Score Is Inflated, and Your Test Suite Will Never Tell You
This story is from 2026-09-02. It is preserved in the archive; the latest stories are on the live feed.
Every machine learning engineer learns early that leakage inflates validation scores. We check for target leakage. We check for train-test contamination. We use time-based splits instead of random ones on temporal data. Then we build a feature over a rolling window, evaluate the model, and quietly…
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- 2026-09-02 11:15 · DEV Community — Machine Learning
Your Time-Series Validation Score Is Inflated, and Your Test Suite Will Never Tell You