Ever wondered how to quantitatively compare feature importance produced by Machine Learning algorithms?

In this new work presented at the Brain Informatics 2022, we introduce the Rank-Biased Overlap (RBO) as similarity measure for comparing rankings of features ordered by their importance. We used the automatic classification of Parkinson’s disease as case study.

Take a look at my recording if you are curious!