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Your 94% accuracy model might still be a bad model: auditing ML across 7 dimensions

This story is from 2026-10-13. It is preserved in the archive; the latest stories are on the live feed.

The problem We usually judge a model by one number. But a classifier with great accuracy can be overconfident, collapse under small input noise, or perform much worse for one subgroup. Those failures rarely show up until production. What I built ai-critic is an open-source Python library that audit…

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  1. 2026-10-13 00:43 · DEV Community — AI
    Your 94% accuracy model might still be a bad model: auditing ML across 7 dimensions

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