underfitting (de.: Unteranpassung)

The generation of an ML model that does not reflect the underlying trend of the training dataset, resulting in a model that has diffculties with accurate predictions.

ISO/IEC TR 29119-11:2020 generation of a ML model (3.1.46) that does not reflect the underlying trend of the training data (3.1.80), resulting in a model that finds it difficult to make accurate predictions (3.1.56)

ISTQB - CTAI Syllabus The generation of an ML model that does not reflect the underlying trend of the training dataset, resulting in a model that finds it difficult to make accurate predictions (ISO/IEC TR 29119-11)

Source: AI-Glossary.org (https://www.ai-glossary.org), License of definition text (excl. standard references): CC BY-SA 4.0, accessed: 2024-11-21

BibTeX-Information

@misc{aiglossary_underfitting_10ynh1e,
author = {{AI-Glossary.org}},
title = {{underfitting}},
howpublished = "https://www.ai-glossary.org/index.php?p=10ynh1e\&l=en",
year = "2024",
note = "online, accessed: 2024-11-21" }