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Can a model have high accuracy but still be a bad model?

This story is from 2026-09-08. It is preserved in the archive; the latest stories are on the live feed.

We often focus on accuracy when evaluating ML models. But can a model have high accuracy and still perform badly in the real world? What metrics or checks do you use besides accuracy?

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  1. 2026-09-08 15:13 · r/learnmachinelearning
    Can a model have high accuracy but still be a bad model?

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