How can I improve my model's generalization?

How can I improve my model's generalization?

To improve your model's generalization, consider techniques like regularization, data augmentation, and cross-validation.

What is regularization and how does it help?

Regularization adds a penalty for larger weights in your model, which helps prevent overfitting and improves generalization.

Can you explain data augmentation?

Data augmentation involves creating modified versions of your training data to increase diversity, helping the model generalize better.

What is cross-validation?

Cross-validation is a technique to assess how the results of a statistical analysis will generalize to an independent dataset.