Copyright
©The Author(s) 2022.
World J Gastroenterol. Dec 14, 2022; 28(46): 6551-6563
Published online Dec 14, 2022. doi: 10.3748/wjg.v28.i46.6551
Published online Dec 14, 2022. doi: 10.3748/wjg.v28.i46.6551
Figure 7 Model output value.
The model output value in the eXtreme Gradient Boosting model. These parameters make a direct impact on the output generated by the eXtreme Gradient Boosting model. tot_proteins: Total protein; tot_bilirubin: Total bilirubin; ag_ratio: Ratio of compound albumin to globulin; alkphos: Alkaline phosphatase; sgpt: Serum glutamic pyruvic transaminase; sgot: Serum glutamic-oxaloacetic transaminase.
- Citation: Dalal S, Onyema EM, Malik A. Hybrid XGBoost model with hyperparameter tuning for prediction of liver disease with better accuracy. World J Gastroenterol 2022; 28(46): 6551-6563
- URL: https://www.wjgnet.com/1007-9327/full/v28/i46/6551.htm
- DOI: https://dx.doi.org/10.3748/wjg.v28.i46.6551