# Adjusted Measures for Feature Selection Stability for Data Sets with Similar Features

arXiv: https://arxiv.org/abs/2009.12075 · HTML: https://mlsanity.com/paper/2009.12075/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 25 Sep 2020.

## Built on by (most cited first, 1 of 1)

- [Employing an Adjusted Stability Measure for Multi-Criteria Model Fitting on Data Sets with Similar Features](https://mlsanity.com/paper/2106.08105/) (2021)

## Abstract (arXiv)

For data sets with similar features, for example highly correlated features, most existing stability measures behave in an undesired way: They consider features that are almost identical but have different identifiers as different features. Existing adjusted stability measures, that is, stability measures that take into account the similarities between features, have major theoretical drawbacks. We introduce new adjusted stability measures that overcome these drawbacks. We compare them to each other and to existing stability measures based on both artificial and real sets of selected features. Based on the results, we suggest using one new stability measure that considers highly similar features as exchangeable.