Confusion matrices, precision and recall · MAAI7602 Applied Computer Vision

A confusion matrix counts which classes are confused with which. Precision asks how many predicted positives are right; recall asks how many true positives were found. Which errors does a classifier make, and how do precision, recall and the decision threshold describe them?

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