loocvRun-class: Class "loocvRun"

In DMwR: Functions and data for "Data Mining with R"

Description

This is the class of the objects holding the results of a leave one out cross validation experiment.

Objects from the Class

Objects can be created by calls of the form loocvRun(...). These objects contain information on the learner evaluated in the LOOCV experiment, the predictive task that was used, the leave one out cross validation settings, and the results of the experiment.

Slots

learner:

Object of class "learner"

dataset:

Object of class "task"

settings:

Object of class "loocvSettings"

foldResults:

Object of class "matrix" with the results of the experiment. The rows represent the different iterations of the experiment while the columns the different statistics evaluated on each iteration.

Methods

summary

signature(object = "loocvRun"): method used to obtain a summary of the results of the leave one out cross validation experiment.

Author(s)

Luis Torgo [e-mail]

References

Torgo, L. (2010) Data Mining using R: learning with case studies, CRC Press (ISBN: 9781439810187). http://www.dcc.fc.up.pt/~ltorgo/DataMiningWithR

See Also

loocvSettings, hldRun,cvRun,mcRun,bootRun,compExp

Examples

showClass("loocvRun")

Example output

Loading required package: lattice
Loading required package: grid
Class "loocvRun" [package "DMwR"]

Slots:
                                                              
Name:        learner       dataset      settings   foldResults
Class:       learner          task loocvSettings        matrix

DMwR documentation built on May 1, 2019, 9:17 p.m.