Why Accuracy Is a Lie: Evaluating ML Models in Production

The Problem with Accuracy

When Accuracy Looks Good but Models Fail

Precision, Recall, and Business Cost

Choosing the Right Metric for the Job

Case Study: Predictive Maintenance

False Positives vs False Negatives in Production

What I Would Monitor After Deployment

Closing Thoughts