Q.

In SVM which has quadratic kernel function of polynomial degree 2 that has slack variable C as one hyper paramenter. What would happen if we use very large value for C

A. we can still classify the data correctly for given setting of hyper parameter c
B. we can not classify the data correctly for given setting of hyper parameter c
C. we can not classify the data at all
D. data can be classified correctly without any impact of c
Answer» A. we can still classify the data correctly for given setting of hyper parameter c
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