I’m working on a machine learning project in which I’m evaluating the performance of a multiclass classification model. For this purpose, I’m using one common metric i.e. Area Under the Receiver Operating Characteristic (ROC) Curve (AUC)
. Previously, I was using the one-vs-rest (OvR)
strategy to calculate the AUC for each class separately. Let me show you below: