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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.
Package details |
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Author | Sergej Potapov, Werner Adler, Benjamin Hofner and Berthold Lausen. |
Maintainer | Sergej Potapov <sergej.potapov@gmail.com> |
License | GPL-2 |
Version | 1.1.0 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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