rminer (1.3.1)

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). Versions: 1.3.1 minor corrections; 1.3 - new classification and regression metrics (improved mmetric function); 1.2 - new input importance methods (improved Importance function); 1.1 - minor error corrections; 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 over 5 years ago.