Construction and evaluation of RF, SVM, GLM, and XGB machine models.

<p>(A) Boxplots showed the residuals of each machine learning model. Red dot represented the root mean square of residuals (RMSE). (B) ROC analysis of four machine learning models based on 5-fold cross-validation in the testing cohort.</p>

Saved in:
Bibliographic Details
Main Author: Hongmin Luo (2142307) (author)
Other Authors: Yuxuan Cao (12490494) (author), Liping Guo (596697) (author), Hui Li (32376) (author), Yingying Yuan (9674249) (author), Fan Lu (490738) (author)
Published: 2025
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:<p>(A) Boxplots showed the residuals of each machine learning model. Red dot represented the root mean square of residuals (RMSE). (B) ROC analysis of four machine learning models based on 5-fold cross-validation in the testing cohort.</p>