An Evaluation of Four Resampling Methods Used in Machine Learning Classification
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Intelligent Systems"
DOI: 10.1109/mis.2020.2978066
Abstract: This article investigates resampling methods used to evaluate the performance of machine learning classification algorithms. It compares four key resampling methods: 1) Monte Carlo resampling, 2) the Bootstrap Method, 3) k-fold Cross Validation, and 4)… read more here.
Keywords: classification; machine learning; resampling methods; four resampling ... See more keywords