Decreasing the complexity of a machine learning model reduces variance and:

The correct answer is A. Increases bias.. Reducing model complexity lowers variance but typically increases bias, reflecting a trade-off between underfitting and overfitting.

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Question

Options

AIncreases bias.
BIncreases accuracy.
CDecreases tolerance.
DDecreases interpretability.

How the community answered

(25 responses)

A
88% (22)
B
4% (1)
C
4% (1)
D
4% (1)

Explanation

Reducing model complexity lowers variance but typically increases bias, reflecting a trade-off between underfitting and overfitting.

Topics

#bias-variance tradeoff#model complexity#machine learning fundamentals#overfitting

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