Percent Bias

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).

Meta Information

• Type: "regr"

• Range: \((-\infty, \infty)\)

• Minimize: NA

• Required prediction: response

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

set.seed(1)
truth = 1:10
response = truth + rnorm(10)
pbias(truth, response)
#> [1] 0.02898378