Confusion matrix
Last revised by Andrew Murphy on 30 May 2019
Citation, DOI, disclosures and article data
Citation:
Moore C, Murphy A, Weerakkody Y, et al. Confusion matrix. Reference article, Radiopaedia.org (Accessed on 16 Apr 2024) https://doi.org/10.53347/rID-68080
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rID:
68080
Article created:
11 May 2019,
Candace Makeda Moore
Disclosures:
At the time the article was created Candace Makeda Moore had no recorded disclosures.
View Candace Makeda Moore's current disclosures
Last revised:
30 May 2019,
Andrew Murphy ◉
Disclosures:
At the time the article was last revised Andrew Murphy had no recorded disclosures.
View Andrew Murphy's current disclosures
Revisions:
7 times, by
4 contributors -
see full revision history and disclosures
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Confusion matrices, a key tool to evaluate machine learning algorithm performance in classification, are a statistical tool.
Contingency tables, a type of confusion matrix, are used in the evaluation of many diagnostic exams for sensitivity, specificity, positive and negative predictive values. A contingency table is an example of a confusion matrix that is made for a binary classifier.
Confusion matrices can also show the performance of models with many classes including AI classifiers for radiology studies.
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