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Interpretable Machine Learning – A Brief History, State-of-the-Art and Challenges We present a brief history of the field of interpretable machine learning (IML), give an overview of state-of-the-art interpretation methods and discuss challenges Research in IML has boomed in recent years As young as the field is, it has over 200 years old
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Interpretable Machine Learning - 豆瓣读书 Interpretable Machine Learning ===== ## Chapter 5: model-agnostic methods - partial dependence plot (PDP) - idea: it shows marginal effect of one or two features $X_s$ (averaging out all other features $X_c$) $$\hat{f}_{X_s}(X_s)=E_{X_c}[\hat{f