Table 3 The 1-year mortality prediction performance of logistic regression models and random forest models for the training sample and test sample

Logistic regression

Train data

0.5

0.744

0.346

0.917

0.770

Optimal (0.307)

0.750

0.731

0.758

Test data

0.5

0.655

0.167

0.875

0.765

Optimal (0.195)

0.672

1.000

0.525

SMOTE logistic regression

Train data

0.5

0.686

0.692

0.683

0.760

Optimal (0.641)

0.756

0.615

0.817

Test data

0.5

0.741

0.722

0.750

0.843

Optimal (0.405)

0.741

0.889

0.675

SMOTE random forest

Train data

0.5

0.959

1.000

0.942

0.998

Optimal (0.596)

0.983

1.000

0.975

Test data

0.5

0.828

0.778

0.850

0.830

Optimal (0.487)

0.810

0.833

0.800