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, ...)
truth | ( |
---|---|
response | ( |
na_value | ( |
... | ( |
Performance value as numeric(1)
.
Type: "regr"
Range: \((-\infty, \infty)\)
Minimize: NA
Required prediction: response
Other Regression Measures:
bias()
,
ktau()
,
mae()
,
mape()
,
maxae()
,
maxse()
,
medae()
,
medse()
,
mse()
,
msle()
,
rae()
,
rmse()
,
rmsle()
,
rrse()
,
rse()
,
rsq()
,
sae()
,
smape()
,
srho()
,
sse()
#> [1] 0.02898378