The data set contains three species of flowers (classes) setosa, versicolour and virginica.
It contains 3 classes of 50 instances each, where each class refers to a type of iris plant. One class (setosa) is
linearly separable from the other 2; the latter are NOT linearly separable from each other. The database
contains the following attributes in cm: petal width, petal length, sepal width, and sepal length.
...Design and write a program for a 4x3 single layer perceptron network to predict the three species of flowers
setosa, versicolour and virginica in a language of your choice. Use training data for training and testing data
for testing the performance of your design.
a-1. What percentage of the training samples cannot be predicted correctly?