AWS Certification Exam AI Practitioner (Practice Questions) set18

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?

Judge based only on the confusion matrix.
Increase the number of layers in the model to improve performance.
Randomly modify the predicted probabilities to smooth the distribution.
I'll remove the protection attribute and see what happens.
Analyze feature contributions using explanation methods such as partial dependence plots, SHAP, and counterfactual explanations.

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