Skip to main content
. 2021 Oct 7;27(4):710–736. doi: 10.1007/s10985-021-09532-6

Table 2.

Concordance from 5-fold cross-validation on real-world data sets

Model FLCHAIN METABRIC NWTCO Rot. & GBSG SUPPORT
Cox Regression 0.790 0.626 0.706 0.664 0.599
CoxCC 0.792 0.647 0.711 0.670 0.614
DeepSurv 0.792 0.640 0.709 0.674 0.615
Cox-Time 0.793 0.664 0.709 0.674 0.630
RSF 0.784 0.651 0.705 0.668 0.632
DeepHit 0.791 0.675 0.710 0.675 0.639
PMF 0.786 0.632 0.710 0.669 0.627
Logistic-Hazard 0.792 0.658 0.704 0.670 0.625
Logistic-Hazard (CHI) 0.790 0.656 0.714 0.673 0.628
Logistic-Hazard (CDI) 0.790 0.660 0.700 0.676 0.630
PC-Hazard 0.791 0.655 0.716 0.679 0.628

Largest values for each data are set in bold