CompTIA
DY0-001 · Question #5
The most likely concern with a one-feature, machine-learning model is high error due to:
The correct answer is A. bias. A model with only one feature is unlikely to capture the true complexity of the data's underlying relationships, leading to systematic underfitting - i.e., high bias.
Machine Learning
Question
The most likely concern with a one-feature, machine-learning model is high error due to:
Options
- Abias
- Bdimensionality.
- Cvariance.
- Dprobability.
How the community answered
(35 responses)- A91% (32)
- C6% (2)
- D3% (1)
Explanation
A model with only one feature is unlikely to capture the true complexity of the data's underlying relationships, leading to systematic underfitting - i.e., high bias.
Topics
#bias#underfitting#model complexity#single-feature model
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