Description Usage Arguments Value Note
Extract a summary of an ROCit
object
1 2 |
object |
a |
... |
optional additional parameters |
A list with the following items:
datatype - whether the ROC was computed on the "train" or the "test" data
auc - the area under the curve
rarepercent - percent of rare class correct
falsepositive - percent of false rare class identifications
threshold - the optimal ROC threshold given by ROCtest
confusematrix - the confusion matrix for the ROC fit
The values presented are for the optimal threshold as computed by the roc
function.
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