obsinfo {CMA} | R Documentation |
Some observations are harder to classify than others. It is frequently of interest to know which observations are consistenly misclassified; these are candiates for outliers or wrong class labels.
object |
An object of class evaluation , generated
with scheme = "observationwise" |
threshold |
threshold value of (observation-wise) performance measure,
s. evaluation that has to be exceeded
in order to speak of consistent misclassification.
If measure = "average probability" , then
values below threshold are regarded
as consistent misclassification. Note that the
default values 1 is not sensible in that case |
show |
Should the information be printed ? Default is TRUE . |
As not all observation must have been classified at least once, observations not classified at all are also shown.
A list with two components
misclassification |
A data.frame containing the indices
of consistenly misclassfied observations and
the corresponding performance measure. |
notclassified |
The indices of those observations not classfied at all, s. details. |
Martin Slawski martin.slawski@campus.lmu.de
Anne-Laure Boulesteix http://www.slcmsr.net/boulesteix