evaluationResults-class: Class "evaluationResults": Results of the Evaluation of a...

In recommenderlab: Lab for Developing and Testing Recommender Algorithms

Class "evaluationResults": Results of the Evaluation of a Single Recommender Method

Description

Contains evaluation results for several runs of the same recommender method, represented as confusion matrices. The model used for each run may also be available.

Objects from the Class

Objects are created by evaluate.

Slots

results:

Object of class "list": contains objects of class "ConfusionMatrix", one for each run specified in the used evaluation scheme.

Methods

avg

signature(x = "evaluationResults"): returns evaluation metrics averaged across cross-validation folds.

getConfusionMatrix

signature(x = "evaluationResults"): Deprecated. Use getResults().

getResults

signature(x = "evaluationResults"): returns a list of evaluation metrics with one element for each cross-validation fold.

getModel

signature(x = "evaluationResults"): returns a list of recommender models used, if available.

getRuns

signature(x = "evaluationResults"): returns the number of runs/number of confusion matrices.

show

signature(object = "evaluationResults")

See Also

evaluate

Other evaluation: calcPredictionAccuracy(), error, evaluate(), evaluationResultList-class, evaluationScheme(), evaluationScheme-class, plot()

recommenderlab documentation built on Oct. 5, 2026, 9:08 a.m.