Package: ResIndex 0.1.0

ResIndex: Generate Simple yet Effective Metric of Feature Importance for Classification Problems

An intuitive and explainable metric of Feature Importance for Classification Problems. Resolution Index measures the extent to which a Feature clusters different classes when data is sorted on it. User provides a DataFrame, column name of the Class, sample size and number of iterations used for calculation. Resolution Index for each Feature is returned, which can be effectively used to rank Features and reduce Dimensionality of Training data. For more details on Feature Selection see Theng and Bhoyar (2023) <doi:10.1007/s10115-023-02010-5>.

Authors:Anand Jha [aut, cre]

ResIndex_0.1.0.tar.gz
ResIndex_0.1.0.zip(r-4.7)ResIndex_0.1.0.zip(r-4.6)ResIndex_0.1.0.zip(r-4.5)
ResIndex_0.1.0.tgz(r-4.6-any)ResIndex_0.1.0.tgz(r-4.5-any)
ResIndex_0.1.0.tar.gz(r-4.7-any)ResIndex_0.1.0.tar.gz(r-4.6-any)
ResIndex_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
ResIndex/json (API)

# Install 'ResIndex' in R:
install.packages('ResIndex', repos = c('https://anandorjha.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 188 downloads 1 exports 0 dependencies

Last updated from:6ca0de8843. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK97
source / vignettesOK115
linux-release-x86_64OK96
macos-release-arm64OK131
macos-oldrel-arm64OK127
windows-develOK84
windows-releaseOK59
windows-oldrelOK59
wasm-releaseOK85

Exports:ResIndex

Dependencies: