Understanding the Confusion Matrix in Machine Learning (opens in new tab)

A confusion matrix in machine learning is the difference between thinking your model works and knowing it does. Let's say you've just trained a classification model to detect credit card fraud. It scores 98% accuracy. Your stakeholders are thrilled. Then you discover the model is just labeling every single transaction as legitimate. In a dataset […]