Hello!
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?
Thanks.