📊 Machine Learning (ML)
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
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✅ Correct Answer: (A) we can still classify the data correctly for given setting of hyper parameter c

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