Several functions for evaluating the accuracy of classification models. The package provide the following performance measures: "cv", "0.632" and "0.632+" estimation of the misclassification rate, sensitivity, specifity and auc. If an application is computationally intensive, parallel execution can be used to reduce the time taken.
| Version: | 1.0.0 |
| Depends: | R (≥ 2.6.0) |
| Suggests: | snow, multicore, MASS, rpart, ipred, e1071, randomForest, mboost |
| Published: | 2009-06-24 |
| Author: | Sergej Potapov, Werner Adler and Berthold Lausen. |
| Maintainer: | Sergej Potapov <sergej.potapov at googlemail.com> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| CRAN checks: | Daim results |
| Package source: | Daim_1.0.0.tar.gz |
| MacOS X binary: | Daim_1.0.0.tgz |
| Windows binary: | Daim_1.0.0.zip |
| Reference manual: | Daim.pdf |