When using SVMs, what effect, in general, can you expect on the size of the margins when the C parameter is decreased?
options:
a.the margins may become wider
b.the margins may become narrower
c.no relation between C and margin sizes
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Answer:
When using SVMs, the margins become wider for decreased values of C parameter.
The Correct option is (a)
Explanation:
The C parameter defines the rate of avoidance from misclassifying training examples to the SVM optimization. In order to get small margins, large values of C are chosen for optimization. Similarly, decreased values of C are selected for getting wide margins.
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