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What should the AI practitioner include in the report to meet the transparency and explainability requirements?
A
Code for model training
B
Partial dependence plots (PDPs)
C
Sample data for training
D
Model convergence tables
Explanation:
B. Partial dependence plots (PDPs) is CORRECT because Partial Dependence Plots (PDPs) are a powerful tool for visualizing the relationship between the features used in a machine learning model and the predicted outcome. PDPs help stakeholders understand how specific features influence the model's predictions, providing transparency and explainability in the decision-making process.