The Iris data set has $N=150$ items. We split the data into a training set and a testing set, and

train and evaluate a classifier. In the confusion matrix shown below, we see that the accuracy under

the $0-1$ loss function is $\frac{32}{38}=\frac{16}{19}.$

Confusion matrix, without normalization