training
Underfitting
When a model is too simple to capture the underlying patterns in the data, resulting in poor performance on both training and test data. Underfitting indicates the model lacks sufficient capacity or has not been trained long enough.
In practice
Using a linear model to classify images would underfit because a straight line cannot capture complex visual patterns.