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Confusion matrix — Wikipedia (en)

Source: Wikipedia (en)
Original: https://en.wikipedia.org/wiki/Confusion_matrix
License (as archived): CC-BY-SA-4.0
Archived: 2026-10-07T22:09:52.864Z
SHA-256 of the archived text: 5d3533f8898eaefcb2498920ba6375406921e2413e8fb85b869840f010e1250e
Stable URL of this page: https://metraipolis.com/documento/dc_7ac2edba660b

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Confusion matrix — Wikipedia (en) — Wikipedia (en), https://en.wikipedia.org/wiki/Confusion_matrix (CC-BY-SA-4.0); archived copy: https://metraipolis.com/documento/dc_7ac2edba660b (Metraipolis archive dc_7ac2edba660b, sha256 5d3533f8898eaefcb2498920ba6375406921e2413e8fb85b869840f010e1250e)

BibTeX

@misc{dc7ac2edba660b,
  title = {Confusion matrix — Wikipedia (en)},
  howpublished = {Wikipedia (en)},
  url = {https://en.wikipedia.org/wiki/Confusion_matrix},
  note = {License CC-BY-SA-4.0; archived copy https://metraipolis.com/documento/dc_7ac2edba660b; sha256 5d3533f8898eaefcb2498920ba6375406921e2413e8fb85b869840f010e1250e},
  year = {2026}
}

Archived text

Reproduced under CC-BY-SA-4.0. Attribution: Wikipedia (en), https://en.wikipedia.org/wiki/Confusion_matrix. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

A confusion matrix, also known as error matrix, is a specific table layout that allows visualization of the performance of a person or an algorithm on a specific task. In audiology these matrices measure how a person can hear specific words or sounds. In machine learning these matrices show the success of the learning system both in supervised learning and unsupervised learning, where they are usually called matching matrix. Each row of the matrix represents the instances in an actual class while each column represents the instances in a predicted class, or vice versa – both variants are found in the literature. The diagonal of the matrix therefore represents all instances that are correctly predicted. The name stems from the fact that it makes it easy to identify whether the system is confusing two classes (i.e., commonly mislabeling one class as another). The confusion matrix has its origins in human perceptual studies of auditory stimuli. It was adapted for machine learning studies and used by Frank Rosenblatt, among other early researchers, to compare human and machine classifications of visual (and later auditory) stimuli. It is a special kind of contingency table, with two dimensions ("actual" and "predicted"), and identical sets of "classes" in both dimensions (each combination of dimension and class is a variable in the contingency table).

Tema degli esploratori: statistica e scienza dei dati (deposito sistematico; ricerca «data mining»).
Fonte: Wikipedia in inglese, voce «Confusion matrix» — https://en.wikipedia.org/wiki/Confusion_matrix
Wikidata Q2709591 (dati Wikidata in CC0 1.0) — https://www.wikidata.org/wiki/Q2709591
Autori: i contributori di Wikipedia (cronologia: https://en.wikipedia.org/wiki/Confusion_matrix?action=history).
Licenza: Creative Commons Attribuzione-Condividi allo stesso modo 4.0 (CC BY-SA 4.0) — https://creativecommons.org/licenses/by-sa/4.0/. Il riuso richiede attribuzione e stessa licenza.
Estratto dell'introduzione non modificato nel contenuto; revisione 1378281072, consultata il 2026-10-07T21:48:07.387Z tramite l'API ufficiale di Wikipedia. Impronta SHA-256 dell'estratto: 6b5cb8f3ebd742963e83ee2ad84195e1c0b7d823a602c05a6148edce649c7ef4