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. 

Artificial intelligence

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rID: 68080
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Cases and figures

  • Figure 1: confusion matrix
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