Table 7 Area under curve of the predictive models based on eight machine learning algorithms for overall survival.

From: Development and validation of a machine learning-based survival prediction model for Asian glioblastoma patients using the SEER database and Chinese data

 

6-month

12-month

24-month

Training set

Validation set

Test set

Training set

Validation set

Test set

Training set

Validation set

Test set

GBM

0.837

0.838

0.856

0.809

0.735

0.777

0.750

0.664

0.691

RSF

0.805

0.756

0.848

0.788

0.699

0.809

0.780

0.659

0.709

Lasso Cox

0.797

0.814

0.795

0.762

0.714

0.737

0.703

0.659

0.668

Coxboost

0.804

0.817

0.817

0.764

0.720

0.751

0.705

0.655

0.689

Survivalsvm

0.729

0.740

0.759

0.707

0.656

0.716

0.641

0.623

0.543

Xgboost

0.823

0.835

0.817

0.793

0.742

0.753

0.734

0.667

0.691

Superpc

0.709

0.722

0.729

0.703

0.644

0.710

0.642

0.616

0.554

PlsRcox

0.803

0.817

0.828

0.765

0.719

0.762

0.706

0.652

0.696

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