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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

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