APPLICATION OF SUPERVISED LEARNING
SUPPORT VECTOR MACHINE SVM
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Support vectors are the data points that lie closest to the decision surface.
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True
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False
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Either A or B
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None of the above
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Explanation:
Detailed explanation-1: -Support vectors are the data points that lie closest to the decision surface. Explanation: They are the points closest to the hyperplane and the hardest ones to classify. They also have a direct bearing on the location of the decision surface.
Detailed explanation-2: -Support vectors are the data points that lie closest to the decision surface. Suppose you are using a Linear SVM classifier with 2 class classification problem.
Detailed explanation-3: -SVM is not suited for finding nonlinear decision boundaries.
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