evaloutput-class: "evaloutput"

Description Slots Methods Author(s) See Also

Description

Object returned by the method evaluation.

Slots

score:

A numeric vector of performance scores whose length depends on "scheme", s.below. It equals the number of iterations (number of different datasets) if "scheme = iterationwise" and the number of all observations in the complete dataset otherwise. As not necessarily all observation must be predicted at least one time, score can also contain NAs for those observations not classified at all.

measure:

performance measure used, s. evaluation.

scheme:

scheme used, s. evaluation

method:

name of the classifier that has been evaluated.

Methods

show

Use show(evaloutput-object) for brief information.

summary

Use summary(evaloutput-object) to apply the classic summary() function to the slot score, s. summary,evaloutput-method

boxplot

Use boxplot(evaloutput-object) to display a boxplot of the slot score, s. boxplot,evaloutput-method.

obsinfo

Use obsinfo(evaloutput-object, threshold) to display all observations consistenly correctly or incorrectly classified (depending on the value of the argument threshold), s. obsinfo.

Author(s)

Martin Slawski ms@cs.uni-sb.de

Anne-Laure Boulesteix boulesteix@ibe.med.uni-muenchen.de

See Also

evaluation


chbernau/CMA documentation built on May 17, 2019, 12:04 p.m.