A problem that occurs in machine learning in which a machine learning model oversimplifies its predictions based on the training data, and as a result provides too many errors when generalizing well to other data. See overfitting.
Glossary of Artificial Intelligence (AI), Machine Learning (ML), and Big Data Terms
Underfitting
