Table 1.

Comparisons of median C-indices of six machine learning algorithms across varying censoring rates (40% to 80%) under a linear 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	85.9 (1.6)	87.9 (1.6)	88.0 (1.8)	90.1 (1.5)
Survival Support Vector Machines	85.8 (1.6)	87.8 (1.6)	87.8 (1.9)	89.8 (1.4)
Survival Gradient Boosting	84.6 (1.7)	86.3 (1.8)	86.1 (2.1)	88.0 (1.9)
Random Survival Forests	83.1 (2.0)	84.8 (1.9)	85.3 (2.3)	86.9 (2.3)
Naive Ensemble Averaging	83.1 (2.0)	85.0 (1.9)	85.5 (2.3)	87.3 (2.1)
Weighted Ensemble Averaging	85.6 (1.4)	87.4 (1.7)	87.4 (1.8)	89.5 (1.5)