I am comparing classification algorithms on different data-sets. For some of the algorithms, there are reasons to believe they don't work well with class imbalance unless some kind of adjustment is made. If the adjustments work well, the experiments on the imbalanced sets should show that the adjustment helps and the balanced sets will tell me if the adjustment remains at least neutral (not harmful) where it is not really needed.
I would like to introduce the used data-sets in a table with columns for the number of records, variables and classes and also one column that measures the class imbalance.
Potential measures that came to my mind where the ratio between the prevalence of the most and the least common class. I also thought about using something like the Herfindahl index. It does not correct for the number of classes, which in economics it shouldn't, but I would need it to do.
Do you have any suggestions? I would like to avoid listing the prevalences of all classes for all data-sets since the number of classes differs.