Confusion matrix

Confusion matrix and statistics.

Usage

blr_confusion_matrix(model, cutoff = 0.5, data = NULL, ...)

# Default S3 method
blr_confusion_matrix(model, cutoff = 0.5, data = NULL, ...)

Arguments

model

An object of class glm.

cutoff

Cutoff for classification.

data

A tibble or a data.frame.

...

Other arguments.

Value

Confusion matix.

See also

Other model validation techniques: blr_decile_capture_rate(), blr_decile_lift_chart(), blr_gains_table(), blr_gini_index(), blr_ks_chart(), blr_lorenz_curve(), blr_roc_curve(), blr_test_hosmer_lemeshow()

Examples

model <- glm(honcomp ~ female + read + science, data = hsb2,
            family = binomial(link = 'logit'))

blr_confusion_matrix(model, cutoff = 0.4)
#> Confusion Matrix and Statistics 
#> 
#>           Reference
#> Prediction   0   1
#>          0 125  16
#>          1  22  37
#> 
#> 
#>                 Accuracy : 0.8100 
#>      No Information Rate : 0.7350 
#> 
#>                    Kappa : 0.5293 
#> 
#> McNemars's Test P-Value  : 0.4173 
#> 
#>              Sensitivity : 0.6981 
#>              Specificity : 0.8503 
#>           Pos Pred Value : 0.6271 
#>           Neg Pred Value : 0.8865 
#>               Prevalence : 0.2650 
#>           Detection Rate : 0.1850 
#>     Detection Prevalence : 0.2950 
#>        Balanced Accuracy : 0.7742 
#>                Precision : 0.6271 
#>                   Recall : 0.6981 
#> 
#>         'Positive' Class : 1