rrecsys (version 0.9.7.3.1)

getAUC: Returns the Area under the ROC curve.

Description

Computes the Area Under the ROC curve for a recommendation task of an algorithm with its given configuration and based on the given evaluation model.

Usage

getAUC(model, ...)
# S4 method for evalModel
getAUC(model, alg, ... )

Arguments

model

Object of type evalModel. See evalModel-class.

alg

The algorithm to be used in the evaluation. Of class character.

…

other attributes specific to the algorithm to be deployed. Refer to rrecsys.

Value

Returns a data frame with the AUC for each of the k-folds defined in the evaluation model and the overall average.

References

T. Fawcett, <U+201C>ROC Graphs: Notes and Practical Considerations for Data Mining Researchers ROC Graphs : Notes and Practical Considerations for Data Mining Researchers,<U+201D>, HP Inven., p. 27, 2003.

See Also

evalModel-class, rrecsys.

Examples

# NOT RUN {
  x <- matrix(sample(c(NA, 1:5), size = 200, replace = TRUE, 
        prob = c(.6,.8,.8,.8,.8,.8)), nrow = 20, byrow = TRUE)
  
  x <- defineData(x)
        
  e <- evalModel(x, 5)
  
  auc <- getAUC(e, "FunkSVD", k = 4) 
  
  auc         
  
  
# }