Measure to compare true observed response with predicted response in regression tasks.
Usage
sse(truth, response, ...)
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.
- ...
(any)
Additional arguments. Currently ignored.
Value
Performance value as numeric(1).
Details
The Sum of Squared Errors is defined as $$
\sum_{i=1}^n \left( t_i - r_i \right)^2.
$$
See also
Other Regression Measures:
ae(),
ape(),
bias(),
ktau(),
linex(),
mae(),
mape(),
maxae(),
maxse(),
medae(),
medse(),
mse(),
msle(),
pbias(),
pinball(),
rae(),
rmse(),
rmsle(),
rrse(),
rse(),
rsq(),
sae(),
se(),
sle(),
smape(),
srho()
Examples
set.seed(1)
truth = 1:10
response = truth + rnorm(10)
sse(truth, response)
#> [1] 5.658606