obsinfo {CMA}R Documentation

Classifiability of observations

Description

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.

Arguments

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.

Details

As not all observation must have been classified at least once, observations not classified at all are also shown.

Value

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.

Author(s)

Martin Slawski martin.slawski@campus.lmu.de

Anne-Laure Boulesteix http://www.slcmsr.net/boulesteix

See Also

evaluation


[Package CMA version 1.0.0 Index]