Vocabulary

Understand the term. Connect the concept.

A practical dictionary of 512 AI, machine learning, mathematics, and programming terms from HerbDev’s AI Vocabulary app. Start with a definition, explore an example, then follow the concepts behind it.

Linked concepts open in a new tab. Audio reads the definition and example.

Precision

Model Evaluation · Level 2 of 5

Precision

The fraction of predicted positives that are truly positive.

It asks how often a positive prediction is right.

Example

Eight of ten flagged messages are actually spam.

Listen to the definition and example

Audio transcript

Precision. The fraction of predicted positives that are truly positive. It asks how often a positive prediction is right. For example: Eight of ten flagged messages are actually spam.

Explore this concept

A useful analogy

Of the alarms that rang, how many were justified?

Why it matters

This helps you ask what a reported score counts and which errors it can hide.

Technical detail

Precision = TP / (TP + FP). If there are no predicted positives, the ratio is undefined without an explicit reporting convention.

Common misconception

High precision does not mean that most actual positives were found.

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Related concepts

Quick recall question

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Put the terminology into context: How AI works · Machine-native representations · All learning paths

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