evaluationResultList-class

coerce,list,evaluationResultList-method

avg,evaluationResultList-method

[,evaluationResultList,ANY,missing,missing-method

show,evaluationResultList-method

Contains the evaluation results for several runs using multiple recommender methods in form of confusion matrices. For each run the used models might be avialable.

classes

Provides a research infrastructure to test and develop
    recommender algorithms including UBCF, IBCF, FunkSVD and association
    rule-based algorithms.

Michael Hahsler

recommenderlab

Lab for Developing and Testing Recommender Algorithms

evaluationResultList-class function

Objects are created by <code>evaluate</code>.

Objects from the Class

Class <code>"<links4class>list</links4class>"</code>, from data part.

evaluationResultList-class: Class "evaluationResultList": Results of the Evaluation of a Multiple Recommender Methods

Description

Arguments

Objects from the Class

Extends

See Also