Demystifying Model Predictions with SHAP Values
When I started working with SHAP, I quickly realized there was a gap between theory and what actually happens in practice. This post is about how i used shap values to understand what my model was actually doing. I'll walk you through what I learned, what tripped me up, and the lessons that stuck with me. No fluff — just honest notes from someone who went through it. Introduction to SHAP Values As a machine learning engineer, I've often found myself wondering what's driving my model's predictions. Are the features I've carefully selected truly influencing the outcomes, or is something else at play? I discovered the answer to this question when I started using SHAP values, a technique that has revolutionized the way I understand and debug my models. In this article, I'll share my experience with SHAP values, the lessons I learned, and the mistakes I made along the way. What are SHAP Values? SHAP (SHapley Additive exPlanations) values are a technique used to ...