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DY0-001 · Question #39

A data scientist is performing a linear regression and wants to construct a model that explains the most variation in the data. Which of the following should the data scientist maximize when…

The correct answer is B. R2. R² directly measures the proportion of variance in the dependent variable explained by the model; maximizing R² ensures you explain as much variation in the data as possible.

Mathematics and Statistics

Question

A data scientist is performing a linear regression and wants to construct a model that explains the most variation in the data. Which of the following should the data scientist maximize when evaluating the regression performance metrics?

Options

  • AAccuracy
  • BR2
  • Cp value
  • DAUC

How the community answered

(30 responses)
  • A
    3% (1)
  • B
    90% (27)
  • C
    7% (2)

Explanation

R² directly measures the proportion of variance in the dependent variable explained by the model; maximizing R² ensures you explain as much variation in the data as possible.

Topics

##linear regression#regression metrics#model fit

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