midR
How do you evaluate models in R?
Updated May 24, 2026
Short answer
Models are evaluated using metrics like RMSE and accuracy.
Deep explanation
Cross-validation improves reliability of evaluation.
Real-world example
Evaluating churn prediction models.
Common mistakes
- Evaluating on training data only.
Follow-up questions
- What is cross-validation?
- What is RMSE?