The model may lack capacity, useful features, sufficient optimization, or an appropriate objective. Both training and validation performance typically remain poor until the constraint is addressed.
Underfitting occurs when a model fails to capture important patterns even in its training data.
The model may lack capacity, useful features, sufficient optimization, or an appropriate objective. Both training and validation performance typically remain poor until the constraint is addressed.