Model audit

This book presents techniques that allow:

• Decomposing a model’s predictions into components that can be attributed to particular explanatory variables
• Conducting a sensitivity analysis for a model’s predictions
• Summarizing the predictive performance of a model
• Assessing the importance of an explanatory variable
• Evaluating the effect of an explanatory variable on a model’s predictions
• A detailed examination of both overall and instance-specific model performance