Table 5 Performance comparisons of AUC for the survival prediction in both models
From: Leveraging hybrid biomarkers in clinical endpoint prediction
Classifiers | CBM (AUC) | IBM (AUC) | IDI | P-value |
|---|---|---|---|---|
 Logistic Regression | 0.75 | 0.93 | 0.47 | 0.002* |
Random Forest | 0.61 | 0.83 | 0.54 | < 0.001* |
Support Vector Machine | 0.74 | 0.92 | 0.50 | < 0.001* |
Artificial Neural Network | 0.59 | 0.82 | 0.52 | < 0.001* |