Regression measure defined as $$
\frac{1}{n} \sum_{i=1}^n \frac{\left( t_i - r_i \right)}{\left| t_i \right|}.
$$
Good predictions score close to 0.

pbias(truth, response, na_value = NaN, ...)

## Arguments

truth |
(`numeric()` )
True (observed) values.
Must have the same length as `response` . |

response |
(`numeric()` )
Predicted response values.
Must have the same length as `truth` . |

na_value |
(`numeric(1)` )
Value that should be returned if the measure is not defined for the input
(as described in the note). Default is `NaN` . |

... |
(`any` )
Additional arguments. Currently ignored. |

## Value

Performance value as `numeric(1)`

.

## See also

Other Regression Measures:
`bias()`

,
`ktau()`

,
`mae()`

,
`mape()`

,
`maxae()`

,
`maxse()`

,
`medae()`

,
`medse()`

,
`mse()`

,
`msle()`

,
`rae()`

,
`rmse()`

,
`rmsle()`

,
`rrse()`

,
`rse()`

,
`rsq()`

,
`sae()`

,
`smape()`

,
`srho()`

,
`sse()`

## Examples

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