Blurb::
Choice of error metric to satisfy
Description::
The cross-validation score that the auto-refinement routine seeks
to satisfy is based on an error metric. Any of the surrogate diagnostic
:dakkw:`model-surrogate-global-metrics` may be used. These include:


- root_mean_squared

- mean_abs

- rsquared

- sum_squared

- mean_squared

- sum_abs

- max_abs

*Default Behavior*
The default metric is the the root mean squared error ('root_mean_squared').
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