AI Glossary

Confusion matrix

What does “Confusion matrix” mean?

Confusion matrix: A table that counts predictions by their actual and predicted classes. For a binary classifier it shows correct positives, false positives, correct negatives, and false negatives.

Confusion matrix visual guide: A table that counts predictions by their actual and predicted classes. For a binary classifier it shows correct positives, false positives, correct negatives, and false negatives.
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What is an example of “Confusion matrix”?

A confusion matrix shows whether an image model regularly mistakes vans for trucks.

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See also

PrecisionTermRecallTermClassificationTermF1 scoreTerm

Same topic

Content provenance (C2PA)TermConfidence scoreTermCovariate shiftTermConcept driftTermCross-validationTerm