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Predictive Modeling › Model Interpretability in Predictive Models

What is Model Interpretability in Predictive Models

Beginner

Answer

Model interpretability in predictive models refers to how easily humans can understand why a model made a particular prediction.
Real-world example A bank needs strong model interpretability to explain to regulators exactly why a loan application was denied by their predictive model.

Common follow-ups: What is Predictive Modeling, How is Model Interpretability in Predictive Models evaluated in practice, What tools are commonly used for Model Interpretability in Predictive Models