Table 3 Regression coefficients and model performance of the clinical, genetic and Super learner model in three datasets.

From: Dynamic prognostic model for kidney renal clear cell carcinoma (KIRC) patients by combining clinical and genetic information

  

Clinical model

Genetic model

Super learner model

Full dataset

Clinical (α1)

0.900

 

0.780

Gene (α2)

 

0.832

0.574

Model (χ2)

28.48

15.57

34.80

AUC

0.791

0.737

0.835

M0 dataset

Clinical (α1)

0.280

 

0.138

Gene (α2)

 

0.541

0.519

Model (χ2)

0.26

2.01

2.07

AUC

0.594

0.612

0.607

M1 dataset

Clinical (α1)

0.464

 

0.886

Gene(α2)

 

0.631

0.775

Model (χ2)

1.14

4.61

7.78

AUC

0.594

0.748

0.811

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