Risk Assessment of Biological Asset Mortgage Loans of China’s New Agricultural Business Entities

Table 9

Classification index value of each model before and after tuning.

Model	AUC (%)	Negative class accuracy (%)	Positive accuracy (%)	F1-score (%)
Before parameter optimization
XGBoost	93.63	82.28	90.99	92.37
LR	82.84	54.43	92.27	88.84
SVM		16.46	98.71	86.96
RF	92.88	60.76	96.14	91.80
After parameter optimization
XGBoost	94.93	83.54	90.13	92.11
LR	82.82	50.63	93.13	88.75
SVM		67.09	93.13	91.18
RF	95.31	68.35	97.42	93.61