Q271
Suppose you are building a SVM model on data X. The data X can be error prone which means that you should not trust any specific data point too much. Now think that you want to build a SVM model which has quadratic kernel function of polynomial degree 2 that uses Slack variable C as one of it's hyper parameter.What would happen when you use very small C (C~0)?
A.
Misclassification would happen
AnswerB.
Data will be correctly classified
C.
Can't say
D.
None of these
Answer: Option A
Solution
Answer: Option A
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