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Parametric vs non-parametric
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542.
Non-Parametric Models at Inference
medium
What is a key disadvantage of non-parametric models compared to parametric models at inference time?
A
They require more hyperparameter tuning since their complexity is not controlled by a fixed parameter set
B
They are more prone to underfitting since flexible models make weaker assumptions about the data
C
They are often slower at prediction since they may require storing and searching all training data
D
They are less accurate than parametric models since they cannot learn complex decision boundaries
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