Copyright
©The Author(s) 2023.
World J Gastroenterol. Nov 21, 2023; 29(43): 5804-5817
Published online Nov 21, 2023. doi: 10.3748/wjg.v29.i43.5804
Published online Nov 21, 2023. doi: 10.3748/wjg.v29.i43.5804
Figure 6 Forest plot of the area under the curve scores of the six models.
The XGBoost model achieved a smaller (better) SD compared with the other models. GNB: Complement NB; MLP: Multilayer perceptron; SVM: Support vector machine.
- Citation: Zhang YB, Yang G, Bu Y, Lei P, Zhang W, Zhang DY. Development of a machine learning-based model for predicting risk of early postoperative recurrence of hepatocellular carcinoma. World J Gastroenterol 2023; 29(43): 5804-5817
- URL: https://www.wjgnet.com/1007-9327/full/v29/i43/5804.htm
- DOI: https://dx.doi.org/10.3748/wjg.v29.i43.5804