Support Vector Classifier

This module belongs to the " Machine Learning algorithms" category.

Description

The Support Vector Classifier module is a parameterizable and trainable SVC model. SVCs take input data and shape them using different kind of algorithmic functions called kernels.

Parameters

There are different types of kernels to choose from:

  • rbf

  • linear

  • poly

  • sigmoid

  • precomputed

The decision function of shape cran be either Ovo or OvR.

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