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.
|Author||Sergej Potapov, Werner Adler, Benjamin Hofner and Berthold Lausen.|
|Date of publication||2013-09-13 14:18:09|
|Maintainer||Sergej Potapov <firstname.lastname@example.org>|
|Package repository||View on CRAN|
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