How to do it…

Let's see how to extract a performance report:

1. Add the following lines to a new Python file (load the performance_report.py file):

from sklearn.metrics import classification_report
y_true = [1, 0, 0, 2, 1, 0, 3, 3, 3]
y_pred = [1, 1, 0, 2, 1, 0, 1, 3, 3]
target_names = ['Class-0', 'Class-1', 'Class-2', 'Class-3']
print(classification_report(y_true, y_pred, target_names=target_names))

1. If you run this code, you will see the following on your Terminal:

Instead of computing these metrics separately, you can directly use the preceding function to extract those statistics from your model.