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Confusion Matrix

[ kuhn-fyoo-zhuhn mey-triks]noun

A confusion matrix is a table used in machine learning to evaluate the performance of a classification model. It provides a detailed breakdown of the model's predictions, showing the true positive, true negative, false positive, and false negative values.

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