Coverage bias: Revision history

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19 March 2023

  • curprev 19:1419:14, 19 March 2023Walle talk contribs 3,445 bytes +3,445 Created page with "{{see also|Machine learning terms}} ==Coverage Bias in Machine Learning== Coverage bias, also referred to as sampling bias, is a form of bias that occurs in machine learning when the data used to train a model does not accurately represent the target population or the problem space. This leads to models that may perform well on the training data, but poorly on the general population, ultimately resulting in biased predictions or decisions. The primary cause of coverage b..."