Which of the following is one of the reasons for data mislabelling?

The correct answer is A. Lack of domain knowledge. The syllabus lists multiple reasons for mislabelled data, including the lack of domain knowledge: "Lack of required domain knowledge may lead to incorrect labelling."

Machine Learning (ML)

Question

Options

ALack of domain knowledge
BExpert knowledge
CInteroperability error
DSmall datasets

How the community answered

(39 responses)

A
82% (32)
B
10% (4)
C
3% (1)
D
5% (2)

Explanation

The syllabus lists multiple reasons for mislabelled data, including the lack of domain knowledge: "Lack of required domain knowledge may lead to incorrect labelling."

Topics

#data mislabelling#training data quality#domain knowledge#data labelling

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