CrossValSummary-class: Class "CrossValSummary"

In CrossValidate: Classes and Methods for Cross Validation of "Class Prediction" Algorithms

Description

Represents the effect of summarizing a CrossValidate-class object by computing the performance of predictions on each split into training and test sets.

Objects from the Class

Objects are almost always created automatically by applying the summary method to an object of the CrossValidate-class.

Slots

call:

A "call" object recoding how the summary method was invoked.

parent:

A character vector containing the name of the CrossValidate object being summarized.

trainAcc:

A "list" containing five numeric vectors: the sensitivity, specificity, accuracy, PPV, and NPV on each training data set.

validAcc:

A "list" containing five numeric vectors: the sensitivity, specificity, accuracy, PPV, and NPV on each test data set.

Methods

show

signature(object = "CrossValSummary"): Summarizes the algorithm performance.

Author(s)

Kevin R. Coombes <[e-mail]>

See Also

CrossValidate-class

Examples

showClass("CrossValSummary")

Example output

Loading required package: Modeler
Loading required package: ClassDiscovery
Loading required package: cluster
Loading required package: oompaBase
Loading required package: ClassComparison
Class "CrossValSummary" [package "CrossValidate"]

Slots:
                                                              
Name:           call        parent      trainAcc      validAcc
Class:          call CrossValidate          list          list

CrossValidate documentation built on May 7, 2019, 1:02 a.m.