I have very disbalanced dataset.
It is about the chance of having a car crash based on categorical variables... The idea is to offer insurance on the customers that drive like they are having a crash but haven't yet.
My idea was to check to find out how the entries that crashed look like (describe the category crash=1) and look for similar entires but with no crash(crash=0).
I am not sure how to develop this, any ideas?