When using SVMs, what effect, in general, can you expect on the size

1.	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 widerb.the margins may become narrowerc.no relation between C and margin sizes
Answer» 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. I hope this answer may help you

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 widerb.the margins may become narrowerc.no relation between C and margin sizes

Answer»

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.

I hope this answer may help you

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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 widerb.the margins may become narrowerc.no relation between C and margin sizes​

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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 widerb.the margins may become narrowerc.no relation between C and margin sizes