# Improving the Predictive Performances of k Nearest Neighbors Learning by Efficient Variable Selection

arXiv: https://arxiv.org/abs/2211.02600 · HTML: https://mlsanity.com/paper/2211.02600/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 0 of its 14 references that are in the map.
- First posted on arXiv 4 Nov 2022.

## Abstract (arXiv)

This paper computationally demonstrates a sharp improvement in predictive performance for k nearest neighbors thanks to an efficient forward selection of the predictor variables. We show both simulated and real-world data that this novel repeatedly approaches outperformance regression models under stepwise selection