# `MlDataframeEvaluationRegression` [interface-MlDataframeEvaluationRegression]

| Name | Type | Description |
| - | - | - |
| `actual_field` | [Field](./Field.md) | The field of the index which contains the ground truth. The data type of this field must be numerical. |
| `metrics` | [MlDataframeEvaluationRegressionMetrics](./MlDataframeEvaluationRegressionMetrics.md) | Specifies the metrics that are used for the evaluation. For more information on mse, msle, and huber, consult the Jupyter notebook on regression loss functions. |
| `predicted_field` | [Field](./Field.md) | The field in the index that contains the predicted value, in other words the results of the regression analysis. |