What are the specific indications in the validation performance that might signal an underfitting model?
- High training and validation errors
- High training error and low validation error
- Low training and validation errors
- Low training error and high validation error
Specific indications of an underfitting model are "high training and validation errors." This is a sign that the model is too simple and has failed to capture the underlying patterns in the data.
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