: It is a life-threatening emergency that requires early diagnosis via CT or MRI scans and rapid treatment involving surgical debridement and antifungal therapy [2, 5]. 4. Other Specialized Definitions
If your classes have an inherent order (e.g., "Low Risk," "Medium Risk," "High Risk"), standard ROC-M ignores the ordering. For ordinal data, consider or rank-based metrics. : It is a life-threatening emergency that requires
The next time you build a multi-class classifier, skip the accuracy trap. Implement ROC-M, and you will gain a far deeper understanding of your model's true strengths and weaknesses. For ordinal data, consider or rank-based metrics
Without ROC-M, the team might have deployed a model that missed the most critical class. Without ROC-M, the team might have deployed a
Typically, when practitioners say "ROC-M," they are referring to the of OvR ROC curves.
But what happens when your problem has three, ten, or even a thousand classes? Enter —the adaptation of the ROC curve for multi-class classification problems.