Summary method for the confusion matrix

Summary method for the confusion matrix

# S3 method for confusion
summary(object, dec = 3, ...)

Arguments

object	Return value from confusion
dec	Number of decimals to show
...	further arguments passed to or from other methods

Details

See https://radiant-rstats.github.io/docs/model/evalbin.html for an example in Radiant

See also

confusion to generate results

plot.confusion to visualize result

Examples

data.frame(buy = dvd$buy, pred1 = runif(20000), pred2 = ifelse(dvd$buy == "yes", 1, 0)) %>%
  confusion(c("pred1", "pred2"), "buy") %>%
  summary()
#> Confusion matrix
#> Data       : . 
#> Results for: All 
#> Predictors : pred1, pred2 
#> Response   : buy 
#> Level      : yes in buy 
#> Cost:Margin: 1 : 2 
#> 
#>  Type Predictor    TP    FP     TN    FN  total   TPR   TNR precision Fscore
#>   All     pred1 2,703 7,388  7,366 2,543 20,000 0.515 0.499     0.268  0.352
#>   All     pred2 5,246     0 14,754     0 20,000 1.000 1.000     1.000  1.000
#> 
#>  Type Predictor accuracy kappa profit  index   ROME contact   AUC
#>   All     pred1    0.503 0.011 -4,685 -0.893 -0.464   0.505 0.508
#>   All     pred2    1.000 1.000  5,246  1.000  1.000   0.262 1.000