Confusion matrix

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. 

Share article

Article information

rID: 68080
Synonyms or Alternate Spellings:

Support Radiopaedia and see fewer ads

Cases and figures

  • Figure 1: confusion matrix
    Drag here to reorder.
  • Updating… Please wait.

     Unable to process the form. Check for errors and try again.

     Thank you for updating your details.