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Related Questions
- What are the differences between overfitting and underfitting, and how do they impact the model's ability to generalize in active learning?
- How can overfitting lead to poor generalizability in active learning, and what are some strategies to prevent it?
- In the context of active learning, what are the consequences of underfitting, and how can it be addressed?
- How does the model's capacity and the dataset's size affect the risk of overfitting and underfitting in active learning?
- What are some metrics to measure the model's generalizability in active learning, and how can they be used to identify overfitting and underfitting?
- Can you explain the relationship between overfitting, underfitting, and the model's training and testing error in active learning?
- In active learning, how can the model's performance on a validation set be used to detect overfitting and underfitting?
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