Advanced Chemical Engineering Science
Model interpretability refers to the degree to which a human can understand the reasons behind a model's predictions or decisions. In the context of artificial intelligence and machine learning, especially in chemical engineering applications, it is crucial for validating models, ensuring safety, and gaining trust from users and stakeholders. High interpretability allows engineers to analyze the outcomes of complex models and make informed decisions based on them.
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