# Method of Support Vector Regression

Method of Support Vector Regression

This Demonstration uses the method of support vector regression to calculate curves representing chemical data. The regression curve is shown in magenta. The margins (dashed green curves) are at distance from the regression curve. The circled black points outside of the margins are the support vectors; the points inside the margins could be deleted and the regression curve would not change. The method of support vector regression uses kernels: here either a polynomial kernel (of degree 1, 2 or 3) or a Gaussian kernel (with parameter ). You can vary the parameter to adjust the weights given to the fitting errors from the curve to the support vectors.

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