<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>anandorjha.r-universe.dev</title><link>https://anandorjha.r-universe.dev</link><description>Recent package updates in anandorjha</description><generator>R-universe</generator><image><url>https://github.com/anandorjha.png</url><title>R packages by anandorjha</title><link>https://anandorjha.r-universe.dev</link></image><lastBuildDate>Tue, 18 Mar 2025 15:10:15 GMT</lastBuildDate><item><title>[anandorjha] ResIndex 0.1.0</title><author>anandorjha18@gmail.com (Anand Jha)</author><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)
&lt;doi:10.1007/s10115-023-02010-5&gt;.</description><link>https://github.com/r-universe/anandorjha/actions/runs/26146715545</link><pubDate>Tue, 18 Mar 2025 15:10:15 GMT</pubDate><r:package>ResIndex</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://anandorjha.r-universe.dev</r:repository><r:upstream>https://github.com/cran/ResIndex</r:upstream></item></channel></rss>