overfitting (de.: Überanpassung)

The generation of an ML model that corresponds too closely to the training dataset, resulting in a model that finds it difficult to generalise to new data.

ISO/IEC TR 29119-11:2020 generation of a ML model (3.1.46) that corresponds too closely to the training data (3.1.80), resulting in a model that finds it difficult to generalize to new data

ISTQB - CTAI Syllabus The generation of an ML model that corresponds too closely to the training dataset, resulting in a model that finds it difficult to generalize to new data (After 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: 2024-11-23

BibTeX-Information

@misc{aiglossary_overfitting_7x3sob,
author = {{AI-Glossary.org}},
title = {{overfitting}},
howpublished = "https://www.ai-glossary.org/index.php?p=7x3sob\&l=en",
year = "2024",
note = "online, accessed: 2024-11-23" }