rse {Metrics} | R Documentation |

## Relative Squared Error

### Description

`rse`

computes the relative squared error between two numeric vectors.

### Usage

```
rse(actual, predicted)
```

### Arguments

`actual` |
The ground truth numeric vector. |

`predicted` |
The predicted numeric vector, where each element in the vector
is a prediction for the corresponding element in |

### Details

`rse`

divides `sse(actual, predicted)`

by `sse(actual, mean(actual))`

,
meaning that it provides the squared error of the predictions relative to a naive model that
predicted the mean for every data point.

### See Also

### Examples

```
actual <- c(1.1, 1.9, 3.0, 4.4, 5.0, 5.6)
predicted <- c(0.9, 1.8, 2.5, 4.5, 5.0, 6.2)
rse(actual, predicted)
```

[Package

*Metrics*version 0.1.4 Index]