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Related Questions
- What are the common hyperparameters that contribute to overconfidence in models, and how can they be adjusted?
- Can you explain the concept of calibration and its relation to overconfidence in machine learning models?
- How does ensemble methods, such as bagging and boosting, help to reduce overconfidence in models?
- What is the role of regularization techniques, such as L1 and L2 regularization, in reducing overconfidence in models?
- How can data augmentation techniques, such as rotation and flipping, help to reduce overconfidence in models?
- What is the impact of early stopping on model overconfidence, and how can it be implemented effectively?
- Can you discuss the effect of different activation functions, such as ReLU and sigmoid, on model overconfidence and how to choose the right one?
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