# `MlEvaluateDataFrameDataframeRegressionSummary` [interface-MlEvaluateDataFrameDataframeRegressionSummary]

| Name | Type | Description |
| - | - | - |
| `huber` | [MlEvaluateDataFrameDataframeEvaluationValue](./MlEvaluateDataFrameDataframeEvaluationValue.md) | Pseudo Huber loss function. |
| `mse` | [MlEvaluateDataFrameDataframeEvaluationValue](./MlEvaluateDataFrameDataframeEvaluationValue.md) | Average squared difference between the predicted values and the actual ( `ground truth`) value. |
| `msle` | [MlEvaluateDataFrameDataframeEvaluationValue](./MlEvaluateDataFrameDataframeEvaluationValue.md) | Average squared difference between the logarithm of the predicted values and the logarithm of the actual ( `ground truth`) value. |
| `r_squared` | [MlEvaluateDataFrameDataframeEvaluationValue](./MlEvaluateDataFrameDataframeEvaluationValue.md) | Proportion of the variance in the dependent variable that is predictable from the independent variables. |