Python Machine Learning Cookbook

Extracting the performance report

We also have a function in scikit-learn that can directly print the precision, recall, and F1 scores for us. Let's see how to do this.

How to do it…

1. Add the following lines to a new Python 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))

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

   Instead of computing these metrics separately, you can directly use this function to extract those statistics ...