which support vector does not fall on a margin line predicting which support vector should fall on a margin what is the purpose of the decision boundary formula for a linear svm why can't support vector fall on margins? kernlab what is the margin of the hyperplane? r is a model that has no margins or support vectors what is support vector that is not falling on the margin lines in r when a support vector does not fall on a margin when does a support vector fall on the margin? which of the following is the support vectors which fall off each margin line? which r function would you use to find support vectors on a linear svm r what is the function of ksvm when the support vectors fall off the margin, what would the result mean what is svp r why do the support vectors fall on margins which r program can find the maximum margin in a linear svm svp definition r when support vector is not falling on a marginal line what is the r decision boundary in linear svm which direction does support vector fall on