Webb9 dec. 2024 · SHAP Values (an acronym from SHapley Additive exPlanations) break down a prediction to show the impact of each feature. Where could you use this? A model says a bank shouldn’t loan someone money, and the bank is legally required to explain the basis for each loan rejection Webb12 mars 2024 · Our shap values are a numpy array of shape (150, 5, 3) for each of our 150 rows, 4 columns (plus expected value), and our 3 output dimensions. When plotting multiclass outputs, the classes are essentially treated as a categorical variable. However, it is possible to plot variable interactions with one of the output classes, see below.
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SHAP: How to Interpret Machine Learning Models With Python
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