Table 5 Random forest models for predicting CIN progression
NO. | Indicators | Factors | accuracy | AUC | OOB |
|---|---|---|---|---|---|
1 | All clinical features | age + menopause+HPV + gravidity+parity+TCT | 65.85 | 67.75 | 36.59 |
2 | Significant genes | TGFBR2 + CSKN1A1 + PRKCI+FOXO1 + CTBP2 | 73.17 | 86.75 | 29.27 |
3 | Significant genes + significant clinical features | TGFBR2 + CSKN1A1 + PRKCI+FOXO1 + CTBP2+ menopause+parity+age | 75.61 | 86.25 | 29.27 |
4 | Genes as the risk factors in unvariable logistic analysis | CSKN1A1 + PRKCI+CTBP2 | 68.29 | 72.75 | 24.39 |
5 | Genes as the risk factors in unvariable logistic analysis + Significant genes | CSKN1A1 + PRKCI+CTBP2+ menopause+parity+age | 68.29 | 78.75 | 26.83 |
6 | Genes as the independent factors in multivariable logistic analysis | CSKN1A1 + PRKCI | 70.73 | 68.25 | 21.95 |
7 | Genes as the independent factors in multivariable logistic analysis | CSKN1A1 + PRKCI+ menopause+parity+age | 68.29 | 76.75 | 26.83 |