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Machine Learning Support Vector Machines
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What is the primary objective of a Support Vector Machine (SVM)?
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A
To find the optimal decision boundary that separates the data points with the largest margin.
💡 Explanation:
The primary objective of an SVM is to find the optimal decision boundary, also known as the hyperplane, that separates the data points of different classes with the largest margin. This margin is the distance between the hyperplane and the closest data points of each class.