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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

Correct Answer: we can still classify the data correctly for given setting of hyper parameter c

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Machine Learning (ML) MCQ: 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 | Extra Education