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
B. Data will be correctly classified
C. Can’t say
D. None of these
Answer» A. Misclassification would happen
Do you find this helpful?

View all MCQs in

Machine Learning (ML)


No comments yet

Related MCQs