Table 2 Performance comparison of machine learning models.

From: Exploring the influence of age on the causes of death in advanced nasopharyngeal carcinoma patients undergoing chemoradiotherapy using machine learning methods

Model

C

Brier

 

AUC

3-year

P

5-year

P-value

10-year

P-value

3-year

5-year

10-year

COX

0.682

0.201

0.006

0.222

0.004

0.217

0.002

0.671

0.680

0.705

DT

0.69

0.318

< 0.001

0.349

< 0.001

0.303

< 0.001

0.659

0.659

0.700

RF

0.701

0.201

0.007

0.224

0.008

0.215

< 0.001

0.732

0.751

0.748

GBM

0.681

0.208

0.100

0.230

0.059

0.239

0.607

0 0.667

0.680

0.711

SVM

0.567

0.222

0.063

0.251

0.223

0.262

0.002

0.544

0.527

0.527

XGboost

0.682

0.210

0.374

0.233

0.325

0.220

0.015

0.671

0.680

0.706

  1. AUC, area under the ROC curve.