Synthesizing Explainability Across Multiple ML Models for Structured Data
{{output}}
Explainable Machine Learning (XML) in high-stakes domains demands reproducible methods to aggregate feature importance across multiple models applied to the same structured dataset. We propose the Weighted Importance Score and Frequency Count (WISFC) framework... ...
