Hybrid XGBoost model with hyperparameter tuning for prediction of liver disease with better accuracy

Figure 3 Predictor importance in classification and regression trees. The values of the predicators used in the classification and regression tree model. These predictors play important roles in liver disease prediction. 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.