
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 ranging from 0 to 1. Higher values indicate a model that explains a greater proportion of the variance. Other metrics listed, while useful, are not the default for regression model evaluation in AutoML.
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