Get confusion matrix

Returns the confusion matrix and validation scores for a binary reference variable, and a binary prediction variable.

Usage

confuse(reference, prediction)

Arguments

reference

A binary reference vector.

prediction

A binary prediction vector.

Value

A confusionMatrix object from caret::confusionMatrix().

Details

The values of reference and prediction must be 0 or 1. Both variables can be stored in a data.frame or as vectors of equal length. Can be of type numeric or factor.

See also

get_prediction(), caret::confusionMatrix()

Examples

mtcars$pred <- get_prediction(mtcars, mtcars$am, mtcars$drat)
confuse(mtcars$am, mtcars$pred)
#> Confusion Matrix and Statistics
#> 
#>    
#>      0  1
#>   0 16  2
#>   1  3 11
#>                                           
#>                Accuracy : 0.8438          
#>                  95% CI : (0.6721, 0.9472)
#>     No Information Rate : 0.5938          
#>     P-Value [Acc > NIR] : 0.002273        
#>                                           
#>                   Kappa : 0.68            
#>                                           
#>  Mcnemar's Test P-Value : 1.000000        
#>                                           
#>               Precision : 0.7857          
#>                  Recall : 0.8462          
#>                      F1 : 0.8148          
#>              Prevalence : 0.4062          
#>          Detection Rate : 0.3438          
#>    Detection Prevalence : 0.4375          
#>       Balanced Accuracy : 0.8441          
#>                                           
#>        'Positive' Class : 1               
#>