sperrorest
summary.sperroresterror
calculates mean, standard deviation,
median etc. of the calculated error measures at the specified level
(overall, repetition, or fold).
summary.sperrorestreperror
does the same with the pooled error,
at the overall or repetition level.
# S3 method for sperroresterror summary(object, level = 0, pooled = TRUE, na.rm = TRUE, ...)
object |
|
---|---|
level | Level at which errors are summarized: 0: overall; 1: repetition; 2: fold |
pooled | If |
na.rm | Remove |
... | additional arguments (currently ignored) |
Depending on the level of aggregation, a list
or
data.frame
with mean, and at level 0 also standard deviation,
median and IQR of the error measures.
Let's use an example to explain the error_rep
argument.
E.g., assume we are using 100-repeated 10-fold cross-validation.
If error_rep = TRUE
(default), the mean and standard deviation calculated
when summarizing at level = 0
are calculated across the error estimates obtained for
each of the 100*10 = 1000
folds.
If error_rep = FALSE
, mean and standard deviation are calculated across
the 100
repetitions, using the weighted average of the fold-level
errors to calculate an error value for the entire sample.
This will essentially not affect the mean value but of course the
standard deviation of the error. error_rep = FALSE
is not recommended,
it is mainly for testing purposes; when the test sets are small
(as in leave-one-out cross-validation, in the extreme case),
consider running sperrorest with error_rep = TRUE
and
examine only the error_rep
component of its result.