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Table 10 Prediction of mortality rate of group II after down sampling according to machine learning methods

From: Machine learning-based survival rate prediction of Korean hepatocellular carcinoma patients using multi-center data

Classifier

Voting

LR

KNN

DT

SVM

RF

XGBoost

LightGBM

NGBoost

Accuracy

0.6850

0.7179

0.6429

0.7271

0.7033

0.7692

0.7802

0.7601

0.7784

Precision

0.6936

0.7275

0.6585

0.7318

0.7282

0.7708

0.7813

0.7598

0.7788

Recall score

0.6804

0.7137

0.6361

0.7240

0.6967

0.7674

0.7787

0.7595

0.7772

F1 score

0.6777

0.7121

0.6269

0.7237

0.6903

0.7679

0.7792

0.7596

0.7776

ROC-AUC

0.6804

0.7137

0.6361

0.7240

0.6967

0.7674

0.7787

0.7595

0.7772

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BMC Gastroenterology

ISSN: 1471-230X

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