### Change optimization metric {: #change-optimization-metric }

The optimization metric defines how DataRobot scores your models. After you choose a target feature, DataRobot selects an optimization metric based on the modeling task. Typically, [the metric DataRobot chooses](additional#change-the-optimization-metric) for scoring models is the best selection for your experiment. To build models using a different metric, overriding the recommended metric, use the Optimization metric dropdown:

![](images/wb-exp-31.png)

See the reference material for a complete list and descriptions of [available metrics](opt-metric).


### Change feature list (pre-modeling) {: #change-feature-list-pre-modeling }

Feature lists control the subset of features that DataRobot uses to build models. Workbench defaults to the [Informative Features](feature-lists#automatically-created-feature-lists){ target=_blank } list, but you can modify that before modeling. To change the feature list, click the **Feature list** dropdown and select a different list:

![](images/wb-exp-11.png)
