Four categories of outcomes
Whenever your model generates a prediction, there will always be one of four categories of outcomes: true positives (TP), false positives (FP), true negatives (TN), and false negatives (FN). The business context behind each is important to know, as it informs your decision-making process about what you want your model to do, and how that translates into real-life outcomes. In this exercise, you will interpret each of the four outcomes.
This exercise is part of the course
Predicting CTR with Machine Learning in Python
Hands-on interactive exercise
Turn theory into action with one of our interactive exercises
