Which of the following is one of the reasons for data mislabelling?
Lack of domain knowledge
Expert knowledge
Interoperability error
Small datasets
The syllabus lists multiple reasons for mislabelled data, including the lack of domain knowledge:
"Lack of required domain knowledge may lead to incorrect labelling."
(Reference: ISTQB CT-AI Syllabus v1.0, Section 4.5.2, page 38 of 99)
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