Keyword Analysis & Research: svm

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Frequently Asked Questions

What is the main difference between a SVM and SVR?

Boundary line: In SVM there are two lines other than Hyper Plane which creates a margin . The support vectors can be on the Boundary lines or outside it. This boundary line separates the two classes. In SVR the concept is same. Support vectors: This are the data points which are closest to the boundary.

How does SVM work?

SVM works by mapping data to a high-dimensional feature space so that data points can be categorized, even when the data are not otherwise linearly separable. A separator between the categories is found, then the data are transformed in such a way that the separator could be drawn as a hyperplane.

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