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Machine Learning Interpretability
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Which of the following is NOT a common technique for interpreting machine learning models?
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A
Occlusion sensitivity
💡 Explanation:
Occlusion sensitivity is a technique used to interpret image classification models, while feature importance, partial dependence plots, and Shapley values are all general techniques that can be used to interpret any type of machine learning model.