Why is underfitting also considered an undesirable property in a machine learning model?
- It enhances generalization
- It fails to capture underlying patterns
- It increases model complexity
- It reduces model bias
Underfitting is undesirable because it fails to capture the underlying patterns in the training data, leading to poor performance on both training and unseen data.
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