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5 ways your ML model's score is lying to you

This story is from 2026-09-14. It is preserved in the archive; the latest stories are on the live feed.

A while back, I had to retract one of my own results. A model I'd built was posting a validation score I was genuinely proud of. Then I looked closer: the test set shared rows with the training data. The moment I evaluated on a truly independent set, the improvement vanished. It wasn't a better mod…

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  1. 2026-09-14 09:35 · DEV Community — Machine Learning
    5 ways your ML model's score is lying to you

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