What are the best practices for selecting a machine learning model?

What are the best practices for selecting a machine learning model?

When selecting a machine learning model, consider factors like the problem type, data quality, and performance metrics.

How do I determine the right model for my dataset?

Start by analyzing your data's characteristics, such as size, features, and distribution, then match them with suitable models.

Should I prioritize accuracy or interpretability?

It depends on your use case. If you need to explain decisions, prioritize interpretability; otherwise, focus on accuracy.

What role does cross-validation play in model selection?

Cross-validation helps assess a model's performance on unseen data, ensuring it generalizes well and avoids overfitting.