Copyright
©The Author(s) 2024.
World J Gastroenterol. Jun 21, 2024; 30(23): 2991-3004
Published online Jun 21, 2024. doi: 10.3748/wjg.v30.i23.2991
Published online Jun 21, 2024. doi: 10.3748/wjg.v30.i23.2991
Figure 2 Comparative analysis of model performance and complexity across feature selection and regularization techniques.
A: Training performance vs model complexity; B: Error rate vs number of features; C: Lasso model selection via cross-validation.
- Citation: Cai LQ, Yang DQ, Wang RJ, Huang H, Shi YX. Establishing and clinically validating a machine learning model for predicting unplanned reoperation risk in colorectal cancer. World J Gastroenterol 2024; 30(23): 2991-3004
- URL: https://www.wjgnet.com/1007-9327/full/v30/i23/2991.htm
- DOI: https://dx.doi.org/10.3748/wjg.v30.i23.2991