Table 2.

Comparisons of median C-indices of six machine learning algorithms across varying censoring rates (40% to 80%) under a nonlinear log hazard model using complete data. The table displays median C-index values from 100 experiments, along with their interquartile ranges.

	Censoring Rate
	40%	60%	70%	80%
Cox Model with Linear Log Hazards	65.6 (2.0)	67.8 (3.0)	69.0 (2.9)	72.5 (3.1)
Survival Support Vector Machines	73.0 (1.7)	74.6 (1.4)	76.3 (1.8)	78.7 (2.4)
Survival Gradient Boosting	72.6 (1.3)	74.2 (1.6)	75.7 (2.1)	78.0 (2.3)
Random Survival Forests	71.5 (1.5)	73.3 (1.6)	75.2 (2.0)	77.5 (1.9)
Naive Ensemble Averaging	71.5 (1.5)	73.4 (1.6)	75.3 (2.0)	77.6 (1.9)
Weighted Ensemble Averaging	73.1 (1.1)	74.8 (1.4)	76.6 (1.6)	78.9 (1.6)