In this healthcare scenario, where the goal is to classify patients into three categories—Low Risk, Moderate Risk, and High Risk—based on their medical history and vital signs, a Multi-Class Classification algorithm is required. Multi-class classification is a type of supervised learning algorithm used when there are three or more classes or categories to predict. This method is well-suited for situations where each instance needs to be classified into one of several categories, which aligns with the requirement to categorize patients into different risk levels​​.

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