How do I choose a validation method for my model?

How do I choose a validation method for my model?

Choosing a validation method depends on your data size and model type. Are you working with a small dataset or a large one?

I have a small dataset.

For small datasets, k-fold cross-validation is often recommended. It helps in making the most of your data. Would you like to know how to implement it?

Yes, please explain how to implement k-fold cross-validation.

You can use libraries like scikit-learn in Python. You'd split your data into k subsets, train on k-1, and validate on the remaining one. Repeat this k times.

What if I have a large dataset?

For large datasets, a simple train-test split or stratified sampling might be sufficient. It reduces computation time while still providing reliable results.