rminer (1.3)
Simpler use of data mining methods (e.g. NN and SVM) in classification and regression..
http://www3.dsi.uminho.pt/pcortez/rminer.html
http://cran.r-project.org/web/packages/rminer
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.
Maintainer:
Paulo Cortez
Author(s): Paulo Cortez
License: GPL (>= 2)
Uses: kernlab, kknn, lattice, nnet, plotrix, rpart, mda, randomForest, MASS
Released 2 months ago.
3 previous versions
- rminer_1.2. Released 7 months ago.
- rminer_1.1. Released about 2 years ago.
- rminer_1.0. Released over 2 years ago.
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