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CMA (version 1.30.0)

obsinfo: 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.

Value

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.

Details

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

References

Slawski, M. Daumer, M. Boulesteix, A.-L. (2008) CMA - A comprehensive Bioconductor package for supervised classification with high dimensional data. BMC Bioinformatics 9: 439

See Also

evaluation