Definition of Interpretability Interpretability: Interpretability is a measure of how easily a model’s predictions can be explained to humans. Models that are easy to interpret are more likely to be trusted and used in decision-making processes. Why does Interpretability matter? Interpretability is an important factor in how effective data science and machine learning tools are….