Description Details Objects from the Class See Also Examples
A glm
or train
object with a binary classification
with rare events can be easily summarized using a distance statistic.
This class provides an efficient mechanism to store and compare these results
across models and across test, train, and validation datasets.
The object has the following items
bestFit - best results from train
RMSE - best RMSE
datatype - whether the ROC was computed on the "train" or the "test" data
modtype - the class of the model object
modcall - the call to the model fitting function
Objects are created by calls to
DISit
.
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