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"
It should be noted that generalization error in terms of the SVM base on How accurately the SVM can predict outcomes for unseen data.
Generalization error can be regarded as the error which serves as a measure of how accurately an algorithm is, when predicting outcome values as regards the previously unseen data.
Therefore, option A is correct, generalization error serves as how accurately the SVM can predict outcomes for unseen data.
Learn more about generalization error at;
https://brainly.com/question/17220524
