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Outcome School · Other AI topics10 min read

by Amit Shekhar · 1 August 2026

Precision vs Recall

Precision vs Recall, the two numbers we use to measure how good a system is at making yes-or-no decisions. We will also see how Precision and Recall differ from each other and when to use which one, what the four possible outcomes of any such decision are, why these two numbers pull against each other, and how the cost of a mistake decides which one we must care about more.

1,959 words#ai#machine-learning4 recall cards

Precision vs Recall
Read on Outcome School ↗then come back to lock it in
Before you read, guess

What question does precision answer regarding the flagged items?

Ten seconds, a guess, then read — a wrong guess still makes the answer stick.

What this article covers

  1. The problem we are trying to solve
  2. The four possible outcomes
  3. What is Precision?
  4. What is Recall?
  5. Precision vs Recall
  6. When to use which one?
  7. A quick recap of the formulas
  8. Summary

The article lives on outcomeschool.com. Read it there, then come back: the tutor in the margin has read it and will answer questions, and the questions below check what stayed.

Before you go

In one sentence, what was this chapter about?

From memory, without scrolling up. Writing it is what makes it yours; the grade is only to show you what you had.

How sure?