A data scientist is preparing a presentation for a non-technical executive audience to explain the results of a complex customer segmentation model. Which of the following approaches is most effective for this type of communication?
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A
Focus on the business impact and key takeaways, using simple, clear visuals and avoiding technical jargon.
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B
Provide the raw model output, including cluster centroids and silhouette scores, to ensure full transparency.
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C
Explain the mathematical foundations of the clustering algorithm, starting with the distance metrics used.
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D
Present a detailed walkthrough of the model's architecture, including the hyperparameter tuning process and feature engineering steps.