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Parametric vs non-parametric
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541.
Non-Parametric Model Complexity and Data
easy
How does the complexity of a non-parametric model typically change as more training data is added?
A
It stays fixed since non-parametric models have a constant number of learned representations
B
It decreases since more data allows the model to simplify its decision boundary over time
C
It becomes undefined since non-parametric models cannot be evaluated on datasets above a fixed size
D
It grows with the data since the model retains more information to define its structure
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