Daim-package


Several functions for evaluating the accuracy of classification models. The package provides the following 
performance measures: repeated k-fold cross-validation, 0.632 and 0.632+ bootstrap estimation of the 
misclassification rate, sensitivity, specificity and AUC. If an application is computationally intensive, 
parallel execution can be used to reduce the computational effort.


Several functions for evaluating the accuracy of
classification models. The package provides the following
performance measures: repeated k-fold cross-validation,
0.632 and 0.632+ bootstrap estimation of the misclassification rate,
sensitivity, specificity and AUC. If an application is
computationally intensive, parallel execution can be used
to reduce the computational effort.

Daim-package: Diagnostic accuracy of classification models

Description

Arguments

Details

References