Create, visualise, and test fast and frugal decision trees (FFTrees). FFTrees are very simple decision trees for classifying cases (i.e.; breast cancer patients) into one of two classes (e.g.; no cancer vs. true cancer) based on a small number of cues (e.g.; test results). FFTrees can be preferable to more complex algorithms because they are easy to communicate, require very little information, and are robust against overfitting.
|Depends:||R (≥ 2.10)|
|Imports:||rpart, yarrr, MASS, circlize, mlbench, graphics, randomForest, igraph, snow, snowfall, e1071, glmnet|
|Author:||Nathaniel Phillips [aut, cre]|
|Maintainer:||Nathaniel Phillips <Nathaniel.D.Phillips.is at gmail.com>|
|CRAN checks:||FFTrees results|
FFTrees tree construction algorithms
Examples of FFTrees
Visualizing FFTrees with plot()
FFTrees package overview
|Windows binaries:||r-devel: FFTrees_1.2.2.zip, r-release: FFTrees_1.2.2.zip, r-oldrel: FFTrees_1.2.2.zip|
|OS X El Capitan binaries:||r-release: FFTrees_1.2.2.tgz|
|OS X Mavericks binaries:||r-oldrel: FFTrees_1.2.2.tgz|
|Old sources:||FFTrees archive|
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