Understanding ML Models with Counterfactual Explanations

A Deep Dive into Interpretable AI

In the era of complex machine learning models, understanding why a model makes certain predictions has become increasingly important. While traditional approaches focus on global model interpretability, counterfactual explanations offer a unique perspective by answering the question: “What changes would be needed to achieve a different outcome?” [Read More]