what is the svm algorithm what is the original two lines what is the support vector algorithm what is the original two lines that pass through the support vectors which statement best describes the support vector machine algorithm? which statement best illustrates the importance of the support vector machine algorithm in analyzing data? what is the purpose of the support vector what is difference between support vectors and boundary lines which svm classifying algorithm should be considered minimizing what do you mean by original two lines how to get original line passing through svm which statement is not true about svm algorithm define support vector machine what two lines are actually defined by the support vectors? what is two support vectors what is the difference between support vectors and decision boundary lines what is meant by the original two lines passing through the support vectors of the two classes what is the initial two lines in the support vector machine classifying algorithm? support vector machine definition what is the minimizing generalization error argument in svm how to do a support vector machine