Balanced Accuracy

Balanced accuracy measures how well an AI model predicts all classes equally, which is ideal for unbalanced datasets. For example, if 99% of parts are OK and 1% are NOK, an AI model that always predicts OK will get an accuracy of 99%, but is not useful. The balanced accuracy weights OK and NOK predictions equally.