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Related Questions
- Can early stopping cause the model to overfit the training data, leading to poor performance on unseen data?
- How does early stopping interact with regularization techniques to prevent overfitting?
- Can you explain the relationship between early stopping and model capacity in terms of overfitting?
- How does the choice of patience parameter in early stopping affect the model's ability to generalize?
- Can early stopping lead to underfitting if the model is not complex enough to capture the underlying patterns in the data?
- How does early stopping impact the model's ability to adapt to changing data distributions?
- Can you discuss the trade-offs between early stopping and other regularization techniques, such as dropout and L1/L2 regularization?
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