hldRun-class: Class "hldRun"

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

Description

This is the class of the objects storing the results of a hold out experiment.

Objects from the Class

Objects can be created by calls of the form hldRun(...). The objects contain information on the learner evaluated in the holdout experiment, the predictive task that was used, the holdout settings, and the results of the experiment.

Slots

learner:

Object of class "learner"

dataset:

Object of class "task"

settings:

Object of class "hldSettings"

foldResults:

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

Methods

plot

signature(x = "hldRun", y = "missing"): method used to visualize the results of the holdout experiment.

summary

signature(object = "hldRun"): method used to obtain a summary of the results of the holdout 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

hldSettings, cvRun,loocvRun,mcRun,bootRun,compExp

Examples

showClass("hldRun")

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