Daim-class: Class "Daim"

In Daim: Diagnostic accuracy of classification models.

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.

See Also

Daim, performDaim, auc.Daim, roc.area.Daim

Daim documentation built on May 29, 2017, 9:08 a.m.