A Paradigm for Potential Model Performance Improvement in Classification and Regression Problems. A Proof of Concept
Machine Learning
2024-02-06 v1
Abstract
A methodology that seeks to enhance model prediction performance is presented. The method involves generating multiple auxiliary models that capture relationships between attributes as a function of each other. Such information serves to generate additional informative columns in the dataset that can potentially enhance target prediction. A proof of case and related code is provided.
Cite
@article{arxiv.2402.02354,
title = {A Paradigm for Potential Model Performance Improvement in Classification and Regression Problems. A Proof of Concept},
author = {Francisco Javier Lobo-Cabrera},
journal= {arXiv preprint arXiv:2402.02354},
year = {2024}
}