Code and Data Repository for Supervised clustered interpretability: Explainable Subgroup Discovery via Cluster Separation and Partial Dependence Disparity
Abstract
The software and data in this repository are a snapshot of the software and data that were used in the research reported on in the paper "Supervised Clustered Interpretability: Explainable Subgroup Discovery via Cluster Separation and Partial Dependence Disparity", by Matt Baucum and Meysam Rabiee.
Fields of Study & Subjects
Explainable Artificial Intelligence (XAI)
Bayesian Modeling and Causal Inference
Imbalanced Data Classification Techniques
Publication details
- Journal / source
- INFORMS journal on computing
- Publisher
- Institute for Operations Research and the Management Sciences (INFORMS)
- Publication date
- 5 May 2026