How To Choose Kernel In SVM

There is no one rule to define the kernel.

Choosing kernel for SVM depends on,

1. Data distribution
2. Size
3. Data characteristics
4. Noise
5. Outliers

• If Linear, use standard Support Vector Machine (SVM)
• If Non-Linear,
  • Use Cross Validation to find which one to use - Polynomial Kernel, Radial Basis Kernel