Daim: Diagnostic accuracy of classification models. 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.
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References in zbMATH (referenced in 1 article )
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- Adler, Werner; Potapov, Sergej; Lausen, Berthold: Classification of repeated measurements data using tree-based ensemble methods (2011)