ape {mlr3measures} | R Documentation |
Absolute Percentage Error (per observation)
Description
Calculates the per-observation absolute percentage error as
Measure to compare true observed response with predicted response in regression tasks.
Note that this is an unaggregated measure, returning the losses per observation.
Usage
ape(truth, response, ...)
Arguments
truth |
( |
response |
( |
... |
( |
Value
Performance value as numeric(length(truth))
.
Meta Information
Type:
"regr"
Range (per observation):
Minimize (per observation):
TRUE
Required prediction:
response
See Also
Other Regression Measures:
ae()
,
bias()
,
ktau()
,
mae()
,
mape()
,
maxae()
,
maxse()
,
medae()
,
medse()
,
mse()
,
msle()
,
pbias()
,
rae()
,
rmse()
,
rmsle()
,
rrse()
,
rse()
,
rsq()
,
sae()
,
se()
,
sle()
,
smape()
,
srho()
,
sse()