ZebinYang
commented
3 weeks ago Hi @munchcrunch,
Binary classification is a special case of regression, with only 0 and 1 as outputs.
The feature importance and partial dependence are calculated based on the whole model, and there is no separate feature importance / partial dependence for each class.
My target variable is a binary label containing two variables, such as backed clay and unbacked clay. My question is, I didn't find the option to plot feature importance figures separately for both classes. I want to plot the backed and unbacked separately, but I can't do it. Also, I have tried to plot partial dependence plot separately for both classes but couldn't find a way to do it. Please guide and assist me in this regard. Thank you