informedness
Informedness is a statistical measure used to assess the quality of a binary classifier or diagnostic test. It captures how well the test’s positive and negative classifications correspond to actual status, accounting for chance. The standard definition is informedness = sensitivity + specificity − 1, where sensitivity is TP/(TP+FN) and specificity is TN/(TN+FP) for a confusion matrix with true positives, false positives, true negatives, and false negatives.
The value of informedness ranges from −1 to +1. A value of +1 indicates perfect information (all
Origins and relationship to other measures: Informedness is commonly identified with Youden’s J statistic, named after
Applications and limitations: Informedness is widely used in diagnostic test evaluation, psychometrics, and machine learning to