# rss

Computes Residual Sum of Squares between two vectors. It is the sum of the error (squared to get rid of negative sign) made by the regression model, where the best value is 0 and the worst value tends to infinity (it increases as the deviation between predicted and actual value increases).

## Syntax

Score = rss(targets,predictions)

## Inputs

`targets`- Actual label for each observation.
`predictions`- Predicted value for each observation.

## Outputs

- Score
- RSS of the regression model.

## Example

Usage of rss

```
targets = [3.14, 0.1, 50, -2.5];
predictions = [3.1, 0.5, 50.3, -5];
score = rss(targets, predictions);
```

```
> score
score = 6.5016
```