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問題 36 / 65
I want to find out why the model is making decisions that disadvantage a particular group. Which method is most appropriate to identify the important features and the reasons for its decisions?
①Judge based only on the confusion matrix.
②Increase the number of layers in the model to improve performance.
③Randomly modify the predicted probabilities to smooth the distribution.
④I'll remove the protection attribute and see what happens.
⑤Analyze feature contributions using explanation methods such as partial dependence plots, SHAP, and counterfactual explanations.