evaloutput-class {CMA} | R Documentation

## "evaloutput"

### 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 `NA`s 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`

[Package CMA version 1.44.0 Index]