Linear Support Vector Machine Classifier

Linear Support Vector Machine Classifier is similar to Support Vector Machine Classifier with the linear kernel but has more flexibility in the choice of penalties and loss functions.

Advantages:

• It performs well in higher dimension spaces
• It is robust to outliers

Disadvantages:

• It is computationally expensive
• It is tricky in selecting the appropriate kernel function