Description:

Classification, regression, feature evaluation and ordinal evaluation: 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 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 evaluation of data sets with ordinal features and class. Several algorithms support parallel multithreaded execution via OpenMP. The top level documentation is reachable through ?CORElearn.

Changes to previous version:

Fetched by r-cran-robot on 2014-12-01 00:00:04.936593

BibTeX Entry: Download

URL: Project Homepage

Supported Operating Systems: Agnostic

Tags: R-Cran

Archive: download here

Other available revisons

Version	Changelog	Date
0.9.44	Fetched by r-cran-robot on 2015-01-01 00:00:05.166996	January 1, 2015, 00:00:05
0.9.43	Fetched by r-cran-robot on 2014-12-01 00:00:04.936593	June 1, 2014, 00:00:04
0.9.42	Fetched by r-cran-robot on 2014-05-01 00:00:05.259764	November 1, 2013, 00:00:04
0.9.41	Fetched by r-cran-robot on 2013-10-01 00:00:05.909849	February 1, 2013, 00:00:04
0.9.40	Fetched by r-cran-robot on 2013-01-01 00:00:05.485081	August 1, 2012, 00:00:04
0.9.39	Fetched by r-cran-robot on 2012-07-01 00:00:03.972887	February 1, 2012, 00:00:05
0.9.35	Fetched by r-cran-robot on 2011-12-18 08:16:04.864087	August 21, 2011, 08:16:05
0.9.34	Fetched by r-cran-robot on 2011-08-14 08:16:03.953544	April 30, 2011, 08:16:04

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