The researchers developed a new method to measure the performance of classification models using the length of the ROC curve. This method provides a standardized measure that can be used in various situations, including when the AUC value is below 0.5. By combining this new measure with existing AUC criteria, better discrimination performance can be achieved, even in challenging scenarios.