sklearn plot confusion matrix with labels

Question

I want to plot a confusion matrix to visualize the classifer\'s performance, but it shows only the numbers of the labels, not the labels themselves:

from skl         


        

Answer 1

As hinted in this question, you have to "open" the lower-level artist API, by storing the figure and axis objects passed by the matplotlib functions you call (the fig, ax and cax variables below). You can then replace the default x- and y-axis ticks using set_xticklabels/set_yticklabels:

from sklearn.metrics import confusion_matrix

labels = ['business', 'health']
cm = confusion_matrix(y_test, pred, labels)
print(cm)
fig = plt.figure()
ax = fig.add_subplot(111)
cax = ax.matshow(cm)
plt.title('Confusion matrix of the classifier')
fig.colorbar(cax)
ax.set_xticklabels([''] + labels)
ax.set_yticklabels([''] + labels)
plt.xlabel('Predicted')
plt.ylabel('True')
plt.show()

Note that I passed the labels list to the confusion_matrix function to make sure it's properly sorted, matching the ticks.

This results in the following figure: