Hard-Margin SVM

Hard-margin SVM

Hard-margin SVM is a type of support vector machine that aims to find the maximum margin hyperplane that perfectly separates the two classes without allowing any misclassification. It’s useful when the dataset is linearly separable and there are no outliers.

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