Databricks Certified Machine Learning - Associate

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Answer: R-squared (R2)

In Databricks AutoML, the default metric for evaluating regression models is R-squared (R2). This metric quantifies the proportion of variance in the dependent variable that's predictable from the independent variables, with values closer to 1 indicating a better model fit.

Author: LeetQuiz Editorial Team

Quick Answer

Answer-first summary for fast verification

Answer: R-squared (R2)

In Databricks AutoML, the default metric for evaluating regression models is R-squared (R2). This metric quantifies the proportion of variance in the dependent variable that's predictable from the independent variables, with values closer to 1 indicating a better model fit.

Author: LeetQuiz Editorial Team

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Which default metric does Databricks AutoML use to assess the performance of regression models?

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0

A

Mean squared error (MSE)

8.7%

B

R-squared (R2)

56.5%

C

Root mean squared error (RMSE)

26.1%

D

Mean absolute error (MAE)

4.3%

E

None of the above

4.3%

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