Description
Object includes the results of a performance evaluation
from several cross-validation or bootstrapping runs.Objects from the Class
Objects can be created by using the Daim or performDaim functions.Slots
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.