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ResIndex  

Generate Simple yet Effective Metric of Feature Importance for Classification Problems
View on CRAN: Click here


Download and install ResIndex package within the R console
Install from CRAN:
install.packages("ResIndex")

Install from Github:
library("remotes")
install_github("cran/ResIndex")

Install by package version:
library("remotes")
install_version("ResIndex", "0.1.0")



Attach the package and use:
library("ResIndex")
Maintained by
Anand Jha
[Scholar Profile | Author Map]
First Published: 2025-03-18
Latest Update: 2025-03-18
Description:
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>.
How to cite:
Anand Jha (2025). ResIndex: Generate Simple yet Effective Metric of Feature Importance for Classification Problems. R package version 0.1.0, https://cran.r-project.org/web/packages/ResIndex. Accessed 04 May. 2025.
Previous versions and publish date:
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Complete documentation for ResIndex
Functions, R codes and Examples using the ResIndex R package
Full ResIndex package functions and examples
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