CT-AI · Question #21
An engine manufacturing facility wants to apply machine learning to detect faulty bolts. Which of the following would result in bias in the model?
The correct answer is A. Selecting training data by purposely excluding specific faulty conditions. The syllabus defines bias as: "Bias is the systematic difference in treatment of certain objects, people or groups in comparison It also discusses: "Sample bias can occur if the data used for training the model does not represent the operational environment, or if some relevant…
Question
An engine manufacturing facility wants to apply machine learning to detect faulty bolts. Which of the following would result in bias in the model?
Options
- ASelecting training data by purposely excluding specific faulty conditions
- BSelecting training data by purposely including all known faulty conditions
- CSelecting testing data from a different dataset than the training dataset
- DSelecting testing data from a boat manufacturer's bolt longevity data
How the community answered
(28 responses)- A75% (21)
- B4% (1)
- C7% (2)
- D14% (4)
Explanation
The syllabus defines bias as: "Bias is the systematic difference in treatment of certain objects, people or groups in comparison It also discusses: "Sample bias can occur if the data used for training the model does not represent the operational environment, or if some relevant faulty conditions are excluded deliberately."
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