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©The Author(s) 2024.
World J Gastrointest Surg. Jun 27, 2024; 16(6): 1571-1581
Published online Jun 27, 2024. doi: 10.4240/wjgs.v16.i6.1571
Published online Jun 27, 2024. doi: 10.4240/wjgs.v16.i6.1571
Figure 2 Predictor variable selection based on the least absolute shrinkage and selection operator regression method.
A: Optimal parameter (lambda) selection in the least absolute shrinkage and selection operator (LASSO) model; B: LASSO coefficient profiles of the candidate features.
- Citation: Yang KF, Li SJ, Xu J, Zheng YB. Machine learning prediction model for gray-level co-occurrence matrix features of synchronous liver metastasis in colorectal cancer. World J Gastrointest Surg 2024; 16(6): 1571-1581
- URL: https://www.wjgnet.com/1948-9366/full/v16/i6/1571.htm
- DOI: https://dx.doi.org/10.4240/wjgs.v16.i6.1571