Provides functions that calculates common types of splitting criteria used in random forests for classification problems, as well as functions that make predictions based on a single tree or a Forest-R.K. model; the package also provides functions to generate importance plot for a Forest-R.K. model, as well as the 2D multidimensional-scaling plot of data points that are colour coded by their predicted class types by the Forest-R.K. model. This package is based on: Bernard, S., Heutte, L., Adam, S., (2008, ISBN:978-3-540-85983-3) "Forest-R.K.: A New Random Forest Induction Method", Fourth International Conference on Intelligent Computing, September 2008, Shanghai, China, pp.430-437.
Package details |
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Author | Hyunjin Cho [aut, cre], Rebecca Su [ctb] |
Maintainer | Hyunjin Cho <h56cho@uwaterloo.ca> |
License | GPL (>= 3) | file LICENSE |
Version | 0.0-5 |
Package repository | View on CRAN |
Installation |
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