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DY0-001 · Question #47

A data scientist wants to evaluate the performance of various nonlinear models. Which of the following is best suited for this task?

The correct answer is A. AIC. The Akaike Information Criterion (AIC) provides a relative measure of model quality by balancing goodness of fit against model complexity, making it ideal for comparing and selecting among multiple nonlinear models.

Modeling, Analysis, and Outcomes

Question

A data scientist wants to evaluate the performance of various nonlinear models. Which of the following is best suited for this task?

Options

  • AAIC
  • BChi-squared test
  • CMCC
  • DANOVA

How the community answered

(29 responses)
  • A
    83% (24)
  • B
    7% (2)
  • C
    7% (2)
  • D
    3% (1)

Explanation

The Akaike Information Criterion (AIC) provides a relative measure of model quality by balancing goodness of fit against model complexity, making it ideal for comparing and selecting among multiple nonlinear models.

Topics

#AIC#model evaluation#nonlinear models#model selection

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