What is model generalization in AI?
Model generalization refers to a model's ability to perform well on unseen data, not just the data it was trained on.
Why is generalization important in machine learning?
Generalization is crucial because it ensures that the model can make accurate predictions on new, real-world data.
How can I improve my model's generalization?
You can improve generalization by using techniques like cross-validation, regularization, and ensuring a diverse training dataset.
What are some common pitfalls that lead to poor generalization?
Common pitfalls include overfitting, using a small or biased dataset, and not validating the model properly.
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