Performance Evaluation of Machine Learning Algorithms in Reduced Dimensional Spaces

Abstract

This paper investigates the impact of reducing feature-vector dimensionality on the performance of machine learning (ML) models. Dimensionality reduction and feature selection techniques can improve computational efficiency, ... | Find, read and cite all the research you need on Tech Science Press