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sbfc (version 1.0.3)

Selective Bayesian Forest Classifier

Description

An MCMC algorithm for simultaneous feature selection and classification, and visualization of the selected features and feature interactions. An implementation of SBFC by Krakovna, Du and Liu (2015), .

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Install

install.packages('sbfc')

Monthly Downloads

171

Version

1.0.3

License

GPL (>= 2)

Issues

0

Pull Requests

0

Stars

16

Forks

4

Maintainer

Viktoriya Krakovna

Last Published

January 15th, 2022

Functions in sbfc (1.0.3)

sbfc

Selective Bayesian Forest Classifier (SBFC) algorithm
signal_var_proportion

Signal variable proportion
logposterior_plot

Log posterior plot
madelon

Madelon data set: synthetic data from NIPS 2003 feature selection challenge
sbfc-package

sbfc
corral_augmented

Augmented corral data set: synthetic data with correlated attributes augmented with noise features
data_disc

Data set discretization and formatting
signal_size_plot

Trace plot of Group 1 size
sbfc_graph

SBFC graph
edge_density_plot

Plots the density of edges in a given group over the MCMC iterations
heart

Heart disease data set: disease outcomes given health attributes