English

Adjusted Overfitting Regression

Machine Learning 2024-10-25 v1

Abstract

In this paper, I will introduce a new form of regression, that can adjust overfitting and underfitting through, "distance-based regression." Overfitting often results in finding false patterns causing inaccurate results, so by having a new approach that minimizes overfitting, more accurate predictions can be derived. Then I will proceed with a test of my regression form and show additional ways to optimize the regression. Finally, I will apply my new technique to a specific data set to demonstrate its practical value.

Keywords

Cite

@article{arxiv.2410.18950,
  title  = {Adjusted Overfitting Regression},
  author = {Dylan Wilson},
  journal= {arXiv preprint arXiv:2410.18950},
  year   = {2024}
}
R2 v1 2026-06-28T19:34:35.373Z