AI Glossary: Letter "U"

Underfitting is a training error that occurs when a machine learning model is too simple to capture the underlying structure and patterns in the training dataset, resulting in poor performance on both training and validation data.

Unsupervised Learning is a machine learning category where a model is trained on an unlabeled dataset. The algorithm attempts to discover hidden structures, groupings, or distributions within the input data without external guidance.