Open sabithamanoj opened 3 days ago
Dear @sabithamanoj, Thank you for your interest in our work. Unfortunately, the necessity of "pre-binarization" is the limitation of IP-based methods for building scoring systems. There are multiple strategies that you can use for feature discretization and we followed the approach from the FD-RiskSLIM paper. In our experiments we tested multiple algorithms for binarization (quantiles, kmeans, mdlp etc.). Here is the example of MDLP discretizer which you can use.
Thank you very much for the information!
I have run the example code for iris dataset and it runs perfect. But how did you create input iris_binary.csv. Could you please let me know how you binarized the dataset? I wanted to use MISS scoring system for my project and dataset contains features that are continuous and need to be binarized.