Hacker News new | ask | show | jobs
by jonathankoren 3517 days ago
If you're looking at model feature weights, you're doing it wrong.

Most models aren't interpretable, and coefficients are highly unit and feature dependent. Discussions involving feature weights beyond "What if we reduce the feature space?" or "Did we implement this feature correctly?" often go bad, they almost always go bad when you're using it to "audit" the model. I have been in way too many discussions where someone suggested that the weights were wrong, simply because they thought something should "be more important".