Which of the following is BEST for analyzing true positives, true negatives, false positives, and...

A confusion matrix is explicitly defined in AAISM as the framework used to interpret classification performance by listing:

• true positives

• true negatives

• false positives

• false negatives

Precision (B) and recall (D) are derived metrics that use parts of the matrix but do not show the full picture. Hyperparameter tuning (A) is unrelated.