Choosing the Right Model
The quest for the best model starts with understanding your data and your goals. In this guide, we explore methods and strategies to make informed decisions about model selection.
For detailed understanding, visit our Data Preprocessing Guide, which lays the groundwork for effective model selection.
Model Selection Criteria
Key criteria include accuracy, interpretability, and computational efficiency. Balancing these often competing factors can drive the best results tailored to specific needs.
- Accuracy
- Interpretability
- Efficiency