I got a prediction but the problem in feature importance the model gave high importance to static inputs and no importance for continuous inputs which is wrong. how can I fix this?
how can I integrate continuous data and static data using random forest machine learning model?
I got a prediction but the problem in feature importance the model gave high importance to static inputs and no importance for continuous inputs which is wrong. how can I fix this?







