Beyond Accuracy: Why Your AI Model Needs a Confusion Matrix

Relying solely on accuracy can be dangerously misleading when dealing with imbalanced datasets such as fraud detection or medical diagnosis. A Confusion Matrix offers a granular breakdown of errors, enabling developers to distinguish between false alarms and critical misses to build truly reliable models.