Fix input for caret::confusionMatrix

Sensitivity, Specificity, ... are nor correctly computed.
See examples in ?caret::confusionMatrix

Output with SMOTE:

print(conf)
Confusion Matrix and Statistics

         observed
predicted    0    1
        0 2238   15
        1   81   48

               Accuracy : 0.9597
                 95% CI : (0.951, 0.9672)
    No Information Rate : 0.9736
    P-Value [Acc > NIR] : 1

                  Kappa : 0.4816

 Mcnemar's Test P-Value : 3.266e-11

            Sensitivity : 0.76190
            Specificity : 0.96507
         Pos Pred Value : 0.37209
         Neg Pred Value : 0.99334
             Prevalence : 0.02645
         Detection Rate : 0.02015
   Detection Prevalence : 0.05416
      Balanced Accuracy : 0.86349

       'Positive' Class : 1

Change-Id: I7009c6b3a1e81f4f912ce13cbbde825abc490ee7
1 file changed
tree: 5afae9e0cb514c5f9879645a380c13fbfffb21f8
  1. data/
  2. R/