
Interpretable machine learning can be viewed as a form of sensitivity analysis applied to machine learning systems, integrating recent advances in interpretability into a broader framework for explaining complex systems.


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bridging-the-gap-between-machine-learning-and-sensitivity-analysis-formalizing-interpretable-machine-learning-as-a-form-of-sensitivity-analysis


Bridging the Gap Between Machine Learning and Sensitivity Analysis: Formalizing Interpretable Machine Learning as a Form of Sensitivity Analysis
