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Table 6 Random forest models for predicting CIN occurrence

From: Establishment of multifactor predictive models for the occurrence and progression of cervical intraepithelial neoplasia

NO.

Indicators

Factors

accuracy

AUC

OOB

8

All clinical features

age + menopause+HPV + gravidity+parity+TCT

60.00

75.20

28.89

9

Significant genes

TGFBR2+ FOXO1 + CTBP2

71.11

70.54

26.67

10

Significant genes + significant clinical features

TGFBR2 + CTBP2 + FOXO1 + HPV + TCT

77.78

92.09

26.67

11

Genes as the risk factors in unvariable logistic analysis

CTBP2 + FOXO1

73.33

74.51

40.00

12

Genes as the risk factors in unvariable logistic analysis + Significant genes

CTBP2 + FOXO1 + HPV + TCT

84.44

90.51

22.22

13

Genes as the independent factors in multivariable logistic analysis

CTBP2

/

/

/

14

Genes as the independent factors in multivariable logistic analysis

CTBP2 + HPV + TCT

75.56

85.38

26.67