Question: A support vector machine has been built to predict whether a patient is at risk of cardiovascular disease. In the dataset used to train the

A support vector machine has been built to predict whether a patient is at risk of cardiovascular disease. In the dataset used to train the model, there are two target levels-high risk (the positive level, +1) or low risk (the negative level, -1)-and three descriptive features - AGE, BMI, and BLOOD PRESSURE. The support vectors in the trained model are shown in the table below (all descriptive feature values have been standardized).

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