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©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 5 Predicator impact on model output.
The figure depicts the impact of the SHapley Additive exPlanations value on the eXtreme Gradient Boosting model. As the number of observations available is limited, the subsample space was set to ‘1’ to consider all the datapoints during each iteration. tot_proteins: Total protein; tot_bilirubin: Total bilirubin; alkphos: Alkaline phosphatase; sgpt: Serum glutamic pyruvic transaminase; sgot: Serum glutamic-oxaloacetic transaminase; F: Female; M: Male.
- 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