original module
Intermediate
Data Foundations
ML Model Evaluation Basics
Learn how to measure whether a model actually helps users—metrics, baselines, error analysis, and when to stop tuning.
Outcomes
- Pick metrics aligned to user outcomes
- Run a simple error analysis
- Compare against a meaningful baseline