Confusion Matrix
/kənˈfjuːʒən ˈmeɪtrɪks/
Definition
A table showing the counts of true/false positives and negatives for a classification model.
Example in context
"The confusion matrix showed high false negatives — we're missing real fraud cases. Lowering the threshold captures more."
Practice this term
Master Confusion Matrix in context by working through exercises in the Data Science & ML module. You'll see the term used in real engineering scenarios with multiple-choice, fill-in-the-blank, and matching drills.