Description Usage Arguments Details Value Note Author(s)
Getting an DIStest on a train object
Explore the accuracy of binary classifiers using distance from a perfect classifier
1 2 3 4 |
mod |
A model object to generate an |
testdata |
A dataframe to generate the ROC for the mode on |
... |
optional additional parameters. |
The object has the following items
thresh - the threshold for the ROC
auc - the area under the curve
confusematrix - the confusion matrix for the ROC fit
rarepercent - percent of rare class correct
falsepositive - percent of false rare class identifications
modtype - the class of the model object
modcall - the call to the model fitting function
datatype - whether the ROC was computed on the "train" or the "test" data
A DISit
object
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Jared E. Knowles
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