• Support Vector:The points which are closest to the hyperplane are called support vectors, and the seprating line is defined with the help of those points.
  • Margin: It is the distance between the hyperplane and the observations closest to the hyperplane(support vectors). In SVM a large margin is considered a good margin. There are two type of margins hard margin and soft margin. </br> svm

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