Table 3.

Comparison of the Integrated Calibration Index and the median of the absolute difference between the predicted survival probabilities and smoothed survival frequencies for each prediction model

Integrated calibration index (EC50)
Risk categoryGRFSOSRelapseaGVHDcGVHD
Cox-PH 0.139 (0.151) 0.283 (0.248) 0.055 (0.029) 0.218 (0.212) 0.263 (0.208) 
Random Survival Forest 0.142 (0.147) 0.365 (0.372) 0.048 (0.029) 0.173 (0.178) 0.345 (0.346) 
XGBoost 0.027 (0.007) 0.393 (0.381) 0.176 (0.163) 0.265 (0.264) 0.306 (0.265) 
Gradient Boosting 0.050 (0.047) 0.438 (0.449) 0.159 (0.129) 0.254 (0.256) 0.309 (0.275) 
Component-wise Gradient Boosting 0.061 (0.068) 0.397 (0.395) 0.171 (0.145) 0.261 (0.264) 0.324 (0.318) 
Dynamic DeepHit 0.054 (0.059) 0.405 (0.409) 0.152 (0.153) 0.106 (0.108) 0.319 (0.320) 
Stacked Ensemble Model 0.023 (0.017) 0.210 (0.194) 0.044 (0.018) 0.017 (0.018) 0.258 (0.226) 
Integrated calibration index (EC50)
Risk categoryGRFSOSRelapseaGVHDcGVHD
Cox-PH 0.139 (0.151) 0.283 (0.248) 0.055 (0.029) 0.218 (0.212) 0.263 (0.208) 
Random Survival Forest 0.142 (0.147) 0.365 (0.372) 0.048 (0.029) 0.173 (0.178) 0.345 (0.346) 
XGBoost 0.027 (0.007) 0.393 (0.381) 0.176 (0.163) 0.265 (0.264) 0.306 (0.265) 
Gradient Boosting 0.050 (0.047) 0.438 (0.449) 0.159 (0.129) 0.254 (0.256) 0.309 (0.275) 
Component-wise Gradient Boosting 0.061 (0.068) 0.397 (0.395) 0.171 (0.145) 0.261 (0.264) 0.324 (0.318) 
Dynamic DeepHit 0.054 (0.059) 0.405 (0.409) 0.152 (0.153) 0.106 (0.108) 0.319 (0.320) 
Stacked Ensemble Model 0.023 (0.017) 0.210 (0.194) 0.044 (0.018) 0.017 (0.018) 0.258 (0.226) 

EC50, the median of the absolute difference between the predicted survival probabilities and smoothed survival frequencies.

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