A Workflow for Visual Diagnostics of Binary Classifiers using Instance-Level Explanations
A Workflow for Visual Diagnostics of Binary Classifiers using Instance-Level Explanations
Human-in-the-loop data analysis applications necessitate greater transparency in machine learning models for experts to understand and trust their decisions. To this end, we propose a visual analytics workflow to help data scientists and domain experts explore, diagnose, and understand the decisions made by a binary classifier. The approach leverages "instance-level …