What is overfitting in the context of machine learning?
- Enhancing generalization
- Fitting the model too closely to the training data
- Fitting the model too loosely to the data
- Reducing model complexity
Overfitting occurs when a model fits the training data too closely, capturing the noise and outliers, making it perform poorly on unseen data.
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