Thinking Data Science by Poornachandra Sarang

Author:Poornachandra Sarang
Language: eng
Format: epub
ISBN: 9783031023637
Publisher: Springer International Publishing

The hyperplanes generated for various C values can be seen in Fig. 8.6.

Fig. 8.6Hyperplanes for different C values

Observe how the contours and thereby the regions change with the increasing value of C parameter.

The Degree Parameter

This is of int type having a default value of 3. We apply this parameter only on the polynomial kernel and decide the degree of the polynomial used in the computation. If you specify this parameter for other kernels, it will ignore its value. If you use a higher value for this parameter, it will increase your training times. The following code snippet illustrates the effect of different values on the degree.

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