Confusion Matrix

A 2×2 table for binary classification: True Positives, True Negatives, False Positives, False Negatives. From these four numbers, you can compute accuracy, precision, recall, F1, and specificity. Always look at the confusion matrix, not just aggregate metrics, when evaluating a classifier.

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