Machine Learning

Machine Learning Evaluation Checklist

A lightweight checklist for comparing models in product settings.

2026-05-28

Before shipping a model, I validate:

• Offline metrics on a representative validation set
• Error slices for high-risk user segments
• Latency and throughput constraints in production-like conditions
• Observability hooks for post-deployment drift

Good evaluation reduces expensive rollbacks later.