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A confusion matrix is a special contingency table used to evaluate the predictive accuracy of a classifier. Predicted classes are listed in rows and actual classes in columns, with counts of respective cases in each cell.
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Confusion matrix terminology
I am working on machine learning with a supervised problem with 2 classes: NO and YES, and I need some precision about confusion matrix. I read 2 differents terminologies, some writes matrix confusion …