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

Figure 1 Chi-square automated interaction detection tree. Chi-square automated interaction detection tree consists of multiple decision nodes (node 0 to node 8). The branch of the decision tree is levelled by three parameters (adjusted P value, χ², and df). These parameters play a very important role in decision making.