Table 5.

Performance comparisons of AUC for the survival prediction in both models

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*

* representing significance data