Suppose you have trained an SVM with linear decision boundary after training SVM, you correctly infer that your SVM model is under fitting. Which of the following is best option would you more likely to consider iterating SVM next time?

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Admin · Accepted Answer

you will try to calculate more variables

Admin · Answer

you want to increase your data points

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you want to decrease your data points

Admin · Answer

you will try to reduce the features

Q. Suppose you have trained an SVM with linear decision boundary after training SVM, you correctly infer that your SVM model is under fitting. Which of the following is best option would you more likely to consider iterating SVM next time?

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