A simple and interpretable performance measure for a binary classifier

Binary classification tasks are the bread and butter of machine learning. However, the standard statistic for its performance is a mathematical tool that is difficult to interpret -- the ROC-AUC. Here, a performance measure is introduced that simply considers the probability of making a correct binary classification.

Check out the full article at KDNuggets.com website
A simple and interpretable performance measure for a binary classifier