CT-AI · Question #79
An image classification system is being trained for classifying faces of humans. The distribution of the data is 70% ethnicity A and 30% for ethnicities B, C and D. Based ONLY on the above…
The correct answer is B. This is an example of sample bias. Sample bias occurs when the training data is not representative of the overall population that the model will encounter in practice. In this case, the over-representation of ethnicity A (70%) compared to B, C, and D (30%) creates a sample bias, as the model may become biased…
Question
An image classification system is being trained for classifying faces of humans. The distribution of the data is 70% ethnicity A and 30% for ethnicities B, C and D. Based ONLY on the above information, which of the following options BEST describes the situation of this image classification system?
Options
- AThis is an example of expert system bias.
- BThis is an example of sample bias.
- CThis is an example of hyperparameter bias.
- DThis is an example of algorithmic bias.
How the community answered
(29 responses)- A3% (1)
- B79% (23)
- C10% (3)
- D7% (2)
Explanation
Sample bias occurs when the training data is not representative of the overall population that the model will encounter in practice. In this case, the over-representation of ethnicity A (70%) compared to B, C, and D (30%) creates a sample bias, as the model may become biased towards better performance on ethnicity A.
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