Interpreting Weights


I’m wondering if anyone has any good recommendations for interpreting model weights for a general audience. I know this isn’t a code specific question, but I’m having trouble figuring out how I can use my weights in a meaningful way to describe the significance of my various input features in their use of predicting output.

I guess something like a p-value or a similar metric would be ideal. Does anyone have any thoughts on this?


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