# Coefficients
URL: https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/experiment-insights/coefficients.html

> How to use the Coefficients tab, which shows the positive or negative impact of important variables, to help you refine and optimize your models.

# Coefficients

| Tab | Description |
| --- | --- |
| Explanations | Displays the relative effects of the 30 most important features in the dataset (feature list). |

For [supported models](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/experiment-insights/coefficients.html#supported-model-types) (linear and logistic regression), the Coefficients tab provides the relative effects of the 30 most important features, sorted (by default) in descending order of impact on the final prediction. Variables with a positive effect are displayed in red; variables with a negative effect are shown in blue. The Coefficients chart determines the following to help assess model results:

- Which features were chosen to form the prediction in the particular model?
- How important are each of these features?
- Which features have positive impact and which have negative impact?

> [!NOTE] Note
> 

The Coefficients tab is only available for a limited number of models because it is not always possible to derive the coefficients for complex models in short analytical form.

From the insight you can [export the parameters and coefficients](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/experiment-insights/coefficients.html#preprocessing-and-parameter-view) that DataRobot uses to generate predictions with the selected model.

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