Support Vector Machine is a Machine Learning algorithm used for both classifications as well as regression problems. In this algorithm, each data is plotted in such a way that the value of every feature is the same as the value of that co-ordinate. You can then perform classification by t finding the hyper-plane that helps in differentiating the two classes – hyper-plane, and line.
Also, Support vectors are the coordinates of the observation while the Support Vector Machine is a machine or a frontier that segregates the classes.
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