Using an SVM for solving a multi-class classification problem

Description

In this experiment a linear SVM is trained on a data set consisting of three classes. The classification accuracy of the linear SVM is determined on the data set.

Input

Wine [UCI MLR]

Output

Figure 8.24. The kernel model of the linear SVM.

The kernel model of the linear SVM.

Figure 8.25. The classification accuracy of the linear SVM on the data set.

The classification accuracy of the linear SVM on the data set.

Interpretation of the results

The second figure shows that the linear SVM perfectly classifies all training examples.

Video

Workflow

svm_exp9.rmp

Keywords

SVM
supervised learning
classification

Operators

Apply Model
Normalize
Performance (Classification)
Read CSV
Support Vector Machine (LibSVM)