seniorSVM
How does SVM behave with redundant support vectors?
Updated May 17, 2026
Short answer
Redundant support vectors increase computational cost without improving decision boundary.
Deep explanation
When multiple support vectors convey similar information, model becomes less efficient. However, decision boundary remains unchanged since redundancy does not alter margin geometry.
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