Table 3. Multivariate Cox model performance for the progression outcome under different data partition settings.
The two settings include (a) Using NEPTUNE as training dataset, and CureGN as validation dataset; (b) Using 80% NEPTUNE+CureGN as training dataset and remaining as validation dataset.
Data split settings (training : validation) |
Training performance (C-index) |
Validation performance (C-index) |
---|---|---|
100% NEPTUNE: 100% CureGN |
0.864±0.030 | 0.736±0.072 |
80% (NEPTUNE+CureGN) : 20% (NEPTUNE+CureGN) | 0.822±0.015 | 0.757±0.071 |