Description Objects from the Class Slots See Also
Object includes the results of a performance evaluation from several cross-validation or bootstrapping runs.
Objects can be created by using the Daim
or performDaim
functions.
call
: the matched call.
formula
: the formula supplied.
method
: the list of control parameters.
err632p
: the 0.632+
estimation of the misclassification error.
err632
: the 0.632
estimation of the misclassification error.
errloob
: the LOOB
estimation of the misclassification error.
errapp
: the apparent error.
sens632p
: the 0.632+
estimation of the sensitivity.
spec632p
: the 0.632+
estimation of the specificity.
sens632
: the 0.632
estimation of the sensitivity.
spec632
: the 0.632
estimation of the specificity.
sensloob
: the LOOB
estimation of the sensitivity.
specloob
: the LOOB
estimation of the specificity.
sensapp
: the apparent sensitivity.
specapp
: the apparent specificity.
roc
: a data frame with estimated values of sensitivity and specificity for a variety of cutoffs.
sample.roc
: a list in which each entry contains the values of the ROC curve of this special sample or cross-validation run.
sample.data
: a data frame with the results of this particular sample or cross-validation run.
Daim
, performDaim
, auc.Daim
, roc.area.Daim
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