CORElearn (version 0.9.29)
CORElearn - classification, regression, feature evaluation and
ordinal evaluation
Description
CORElearn is machine learning suite ported to R from
standalone C++ package. It contains several model learning
techniques in classification and regression, for example
classification and regression trees with optional constructive
induction and models in the leafs, random forests, kNN, naive
Bayes, and locally weighted regression. It is especially strong
in feature evaluation algorithms where it contains several
variants of Relief algorithm and many impurity based attribute
evaluation functions, e.g., Gini, information gain, MDL, DKM,
... Its additional strength is ordEval algorithm and its
visualization used for ordinal features and class. Several
algorithms support parallel multithreaded execution via OpenMP.
The top level documentation is reachable through ?CORElearn.