Table 7 P-values from Friedman and Nemenyi tests across four models on three evaluation metrics.

From: Survival analysis for sepsis patients: A machine learning approach to feature selection and predictive modeling

Test Type

Model Comparison

C-index

ACC

AUC

Friedman Test (4 models)

\(2.328 \times 10^{-6}\)

0.021

\(5.556 \times 10^{-6}\)

Nemenyi Test

Cox vs. RSF

0.307

0.954

0.072

Cox vs. GBM

0.002

0.160

0.029

Cox vs. XGBoost

\(3.000 \times 10^{-6}\)

0.954

0.986

RSF vs. GBM

0.226

0.046

\(1.200 \times 10^{-6}\)

RSF vs. XGBoost

0.006

1.000

0.029

GBM vs. XGBoost

0.508

0.046

0.072