The package CORElearn is an R port of CORElearn data mining system. This document is a short description of the C++ part which can also serve as a standalone Linux or Windows data mining system, its organization and main classes and data structures.
● Data Source:
CranContrib
● Keywords: classif, models, regression, tree
● Alias: CORElearn-internal
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CoreModel
(Package: CORElearn) :
Build a classification or regression model
Builds a classification or regression model from the data and formula with given parameters. Classification models available are
● Data Source:
CranContrib
● Keywords: classif, loess, models, multivariate, nonlinear, regression, tree
● Alias: CoreModel
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The method plot visualizes the models returned by CoreModel() function or summaries obtained by applying these models to data. Different plots can be produced depending on the type of the model.
● Data Source:
CranContrib
● Keywords: cluster, robust, tree
● Alias: plot.CoreModel
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Random forest computes similarity between instances with classification of out-of-bag instances. If two out-of-bag cases are classified in the same tree leaf the proximity between them is incremented.
The function converts a given CoreModel model (decision or regression tree) into a rpart.object prepared for visualization with plot function.
● Data Source:
CranContrib
● Keywords: tree
● Alias: getRpartModel
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infoCore
(Package: CORElearn) :
Description of certain CORElearn parameters
Depending on parameter what the function prints some information on CORElearn, for example codes of available classification (or regression) attribute evaluation heuristics. For more complete description of the parameters see helpCore.
● Data Source:
CranContrib
● Keywords: classif, models, nonlinear, regression, tree
● Alias: infoCore
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testCore
(Package: CORElearn) :
Verification of the CORElearn installation
Performs a partial check of the classification part of CORElearn.
providing 
.