deception matrix

A deception matrix is a tool used to evaluate the effectiveness of an identification or classification system, such as in security or diagnostics. It compares the system’s predictions against actual outcomes, categorizing results into four groups: true positives (correctly identified cases), false positives (incorrectly identified cases), true negatives (correctly rejected cases), and false negatives (missed cases). This helps assess accuracy, reliability, and potential weaknesses, allowing improvements. Think of it as a detailed report card that shows how well a system distinguishes between different conditions or states, highlighting both successes and errors.