Explanation:
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.
Which default metric does Databricks AutoML use to assess the performance of regression models?
A
Mean squared error (MSE)
B
R-squared (R2)
C
Root mean squared error (RMSE)
D
Mean absolute error (MAE)
E
None of the above
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