Asked about How the main algorithms actually work

Can you trust linear regression coefficients as feature importance?

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Not when features are correlated. The coefficients become unstable and can flip sign between runs while predictions barely change, so they stop meaning what they appear to.

Reading an answer is not being able to give one. The section that teaches this is How the main algorithms actually work, 5 hours of Supervised learning.

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