Model Explainability and Interpretability
Model explainability and interpretability refer to the ability to understand and explain the inner workings of a machine learning model. These concepts are becoming increasingly important as machine learning models are used in more critical applications, such as healthcare and finance, where it is important to understand the reasoning behind the model’s predictions. Moreover, Model …