32. Unpacking Into Precision and Recall

Question:

As you may now see, having imbalanced classes like we have in the Enron dataset (many more non-POIs than POIs) introduces some special challenges, namely that you can just guess the more common class label for every point, not a very insightful strategy, and still get pretty good accuracy!

Precision and recall can help illuminate your performance better. Use the precision_score and recall_score available in sklearn.metrics to compute those quantities.

What’s the precision?