Question

What is generalization error in terms of the SVM? a. How accurately the SVM can predict outcomes for unseen data b. How far the hyperplane is from the support vectors c. The threshold amount of error in an SVM

Answer 1

Answer:

a. How accurately the SVM can predict outcomes for unseen data

Explanation:

Generalization Error in terms of the SVM which is an acronym for Support Vector Machine, that deals with a form of administered learning standard, is a criterion of how accurately the Support Vector Machine algorithm can make a forecast of concluding information for formerly hidden data.

Hence, in this case, the correct answer is option A, which is Generalization error in terms of the SVM is "How accurately the SVM can predict outcomes for unseen data"