preprint
وصول مفتوح
Shapley Values Infidelity
Research footprint
At a glance
- الاستشهادات
- 0
- المراجع
- 4
- Comments
- 0
Paper overview
Abstract
Shapley values attempt to explain ML models using flat additive factors disregarding any tree hierarchy, and fails to distinguish between two different trees. We have been using log odds for segmentation tree of logistic regression models. Log odds faithfully reflect tree hierarchy and therefore explain decision trees, forests, and GBM much better.
Record transparency
Publication details
- DOI
- 10.31219/osf.io/2p5d3
- OpenAlex
- W4379653738
- Document type
- preprint
- Language
- EN
- Last metadata update
Comments
تسجيل الدخول للانضمام إلى النقاش.