Phase 7 · Model Evaluation & Tuning
TopicsModel Selection Strategy
Part of the Data Science Roadmap.
Summary
Choosing the final model isn't just picking the highest metric — interpretability needs, training/inference speed, and maintenance complexity all matter for a real production decision.
How to Learn This
- 1List the trade-offs (accuracy, speed, interpretability) for 3 models you've trained.
- 2Practice justifying a model choice that isn't simply 'the one with the highest score'.
- 3Learn when a simpler, more interpretable model is the right business choice, even if slightly less accurate.
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