evaluationResults-class

confusionMatrix-class

avg,evaluationResults-method

getConfusionMatrix

getConfusionMatrix,evaluationResults-method

getResults

getResults,evaluationResults-method

getModel

getModel,evaluationResults-method

getRuns

getRuns,evaluationResults-method

show,evaluationResults-method

Contains the evaluation results for several runs using the same recommender method in form of confusion matrices. For each run the used model might be avialable.

classes

Provides a research infrastructure to develop and evaluate
collaborative filtering recommender algorithms. This includes a sparse
representation for user-item matrices, many popular algorithms, top-N recommendations,
and cross-validation. Hahsler (2022) <doi:10.48550/arXiv.2205.12371>.

Michael Hahsler

recommenderlab

Lab for Developing and Testing Recommender Algorithms

Bregt Vereet

evaluationResults-class function

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

Objects from the Class

<dl>
 <dt><code>results</code>:</dt>
<dd>Object of class <code>"list"</code>: contains
	objects of class <code>"ConfusionMatrix"</code>, one for each run specified
	in the used evaluation scheme.</dd> 
</dl>

Slots

<dl>
 <dt>avg</dt>
<dd><code>signature(x = "evaluationResults")</code>: returns the evaluation metrics averaged of cross-validation folds.</dd> <dt>getConfusionMatrix</dt>
<dd><code>signature(x = "evaluationResults")</code>: 
	Deprecated. Use <code>getResults()</code>.</dd> <dt>getResults</dt>
<dd><code>signature(x = "evaluationResults")</code>: 
	returns a list of evaluation metrics with one element for each cross-valudation fold.</dd> <dt>getModel</dt>
<dd><code>signature(x = "evaluationResults")</code>: returns a
	list of used recommender models (if avilable).</dd> <dt>getRuns</dt>
<dd><code>signature(x = "evaluationResults")</code>: returns
	the number of runs/number of confusion matrices.</dd>% \item{plot}{\code{signature(x = "evaluationResults")}: plot }
 <dt>show</dt>
<dd><code>signature(object = "evaluationResults")</code></dd>	 
</dl>

Methods

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

<dl>
 <dt><code>results</code>:</dt>
<dd>Object of class <code>"list"</code>: contains
	objects of class <code>"ConfusionMatrix"</code>, one for each run specified
	in the used evaluation scheme.</dd>

 
</dl>

<dl>
 <dt>avg</dt>
<dd><code>signature(x = "evaluationResults")</code>: returns the evaluation metrics averaged of cross-validation folds.</dd>

 <dt>getConfusionMatrix</dt>
<dd><code>signature(x = "evaluationResults")</code>: 
	Deprecated. Use <code>getResults()</code>.</dd>

 <dt>getResults</dt>
<dd><code>signature(x = "evaluationResults")</code>: 
	returns a list of evaluation metrics with one element for each cross-valudation fold.</dd>

 <dt>getModel</dt>
<dd><code>signature(x = "evaluationResults")</code>: returns a
	list of used recommender models (if avilable).</dd>

 <dt>getRuns</dt>
<dd><code>signature(x = "evaluationResults")</code>: returns
	the number of runs/number of confusion matrices.</dd>

% \item{plot}{\code{signature(x = "evaluationResults")}: plot }
 <dt>show</dt>
<dd><code>signature(object = "evaluationResults")</code></dd>

	 
</dl>

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

Description

Arguments

Objects from the Class

Slots

Methods

See Also