Construction and Validation of Predictive Model to Identify Critical Genes Associated with Advanced Kidney Disease

Table 2

The optimal parameters of different models were calculated for the validation of the test dataset.

Models	Primary parameters	Accuracy rate	AUC
SVM	; ;	0.682	0.717
L1-LogisticRegression	; ;	0.606	0.715
GBDT	; ; ; ;	0.864	0.963
RandomForest	; ;	0.924	0.963
XGBoost	; ; ; ;	0.894	0.978