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©The Author(s) 2025.
World J Diabetes. Jul 15, 2025; 16(7): 104789
Published online Jul 15, 2025. doi: 10.4239/wjd.v16.i7.104789
Published online Jul 15, 2025. doi: 10.4239/wjd.v16.i7.104789
Table 2 Parameter optimization results of eXtreme Gradient Boosting model
Parameter | Default | Value |
Booster | Gbtree | Gbtree |
Objective | Reg: Linear | Binary: Logistic |
Eta | 0.3 | 0.1 |
Max_depth | 6 | 6 |
Eval_metric | Logloss | Logloss |
Colsample_bytree | 1.0 | 0.5 |
Subsample | 1.0 | 0.5 |
Min_child_weight | 1.0 | 1.0 |
- Citation: Gao L, Liu ZX, Wang JN. Predictive model and risk analysis for outcomes in diabetic foot ulcer using eXtreme Gradient Boosting algorithm and SHapley Additive exPlanation. World J Diabetes 2025; 16(7): 104789
- URL: https://www.wjgnet.com/1948-9358/full/v16/i7/104789.htm
- DOI: https://dx.doi.org/10.4239/wjd.v16.i7.104789