Description:

Classification, Regression and Feature Evaluation: A suite of machine learning algorithms written in C++ with the R interface contains several learning techniques for classification and regression. Predictive models include e.g., classification and regression trees with optional constructive induction and models in the leaves, random forests, kNN, naive Bayes, and locally weighted regression. All predictions obtained with these models can be explained and visualized with the 'ExplainPrediction' package. This package 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, and DKM. These methods can be used for feature selection or discretization of numeric attributes. The OrdEval algorithm and its visualization is used for evaluation of data sets with ordinal features and class, enabling analysis according to the Kano model of customer satisfaction. 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 2018-01-01 00:00:07.164852

BibTeX Entry: Download

Supported Operating Systems: Agnostic

Tags: R-Cran

Archive: download here

Other available revisons

Version	Changelog	Date
1.51.2	Fetched by r-cran-robot on 2018-01-01 00:00:07.164852	September 1, 2017, 00:00:04
1.50.3	Fetched by r-cran-robot on 2017-08-01 00:00:04.065528	April 1, 2017, 00:00:04
1.48.0	Fetched by r-cran-robot on 2017-03-01 00:00:03.115145	August 1, 2016, 00:00:03
1.47.1	Fetched by r-cran-robot on 2016-07-01 00:00:04.771087	October 1, 2015, 00:00:05
0.9.46	Fetched by r-cran-robot on 2015-09-01 00:00:09.474369	July 1, 2015, 00:00:05
0.9.45	Fetched by r-cran-robot on 2015-06-01 00:00:04.554074	February 1, 2015, 00:00:05
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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