This package facilitates the use of data mining algorithms in classification and regression tasks by presenting a short and coherent set of functions. While several DM algorithms can be used, it is particularly suited for Neural Networks (NN) and Support Vector Machines (SVM). Version 1.3 - new classification and regression metrics (improved mmetric function); version 1.2 - new input importance methods (improved Importance function); version 1.1 - minor error corrections; version 1.0 - first version.
| Version: | 1.3 |
| Depends: | nnet, kknn, kernlab, rpart, grDevices, graphics, plotrix, lattice, methods |
| Suggests: | randomForest, MASS, mda |
| Published: | 2013-03-19 |
| Author: | Paulo Cortez |
| Maintainer: | Paulo Cortez <pcortez at dsi.uminho.pt> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://www3.dsi.uminho.pt/pcortez/rminer.html |
| NeedsCompilation: | no |
| In views: | MachineLearning |
| CRAN checks: | rminer results |
| Package source: | rminer_1.3.tar.gz |
| MacOS X binary: | rminer_1.3.tgz |
| Windows binary: | rminer_1.3.zip |
| Reference manual: | rminer.pdf |
| Old sources: | rminer archive |