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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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