A Support Vector Machine $($SVM$)$ is a discriminative classifier formally defined by a separating hyperplane. Support vectors are: $()$

Group of answer choices

data points that lie abnormal distances from other values

data points that lie closest to the decision surface and direct bearing on the optimum location of the decision surface

data points with large amount of additional meaningless information in them

data points most easy to classify