Table of Contents
In this experiment a perceptron is trained on a linearly separable two-dimensional data set consisting of two classes, that is a subset of the Wine data set. The classification accuracy of the perceptron is determined on the data set.
Figure 8.1. A linearly separable subset of the Wine data set [UCI MLR] used in the experiment (2 of the total of 3 classes and 2 of the total of 13 attributes was selected).
The second figure shows that the perceptron perfectly classifies all training examples.