Underfitting

When a model is too simple or trained too little to capture the structure in the data — high error on both training and test sets.

Classical ML

BACKLOG · WORK IN PROGRESS

This term is being written.

The metadata and shape of this page are stable, but the body content isn't ready yet. We'll publish it once it meets the bar of teaching something new with worked examples and real tools.

Back to wiki Track progress on GitHub