Certainly, here are the statements rewritten without plagiarism.1
Note
LLMs are sometimes used to rephrase boilerplate text in order to bypass plagiarism checkers, which are prone to false positives. The context of the quoted text is the authors explaining the terms of a formula for feature importance within a random forest model, which is precisely the sort of text that might be wrongly flagged by a plagiarism checker. In other words, while the authors failed to check the apparent AI output properly, this quotation may not be quite as incriminating as it sounds.
References
1Dubey A, Yadav P. Improving Diabetes Detection Using Machine Learning Random Forest Algorithm. Journal of Electrical Systems. 2024;20(3):1803-1811. doi:10.52783/jes.3674