Version 1 (Original Post)
Published by Gaurav Bhasin · Aug 9, 2026 5:37 AM
Original Publication
Events Log
Post originally created and published to the Global Hub.
Original Title
How to evaluate regression models beyond simple R-Squared (RMSE, MAE, MAPE)?
Original Summary
Practical answer and configuration guide for How to evaluate regression models beyond simple R-Squared (RMSE, MAE, MAPE)?.
Original Content
Here is the recommended approach for **How to evaluate regression models beyond simple R-Squared (RMSE, MAE, MAPE)?**:
1. **Identify the Core Bottleneck**: Check if the bottleneck is caused by unindexed database queries, missing execution timeouts, or payload formatting issues.
2. **Implement Guardrails & Fallbacks**: Always add input validation at the boundary layer and set explicit timeouts on third-party service calls.
```bash
# Verify system status
php artisan --version
```
3. **Keep Infrastructure Simple**: Avoid adding external infrastructure until your current framework setup (PostgreSQL, Redis, or job queues) hits clear limits.
**Best Practice**: Monitor query response times and error rates continuously using APM tools to catch degradations early.
Original Sources
https://scikit-learn.org/stable/
https://optuna.org/