Is their an intuitive way of finding feature importances without just using the random forest feature importances method?
I have a binary logistic regression problem where I have binary features (1 or 0) and a binary target (1 or 0).
I want to see which features are most important towards predicting the target and somehow rank them.
I did an odds ratio for each feature, which gave me some idea of importance.
Are there any other methods?