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Table 8 Prediction of mortality rate of Group II before 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 0.8216 0.8230 0.7956 0.8236 0.8230 0.8383 0.8363 0.8337 0.8343
Precision 0.5549 0.4118 0.6077 0.6851 0.4118 0.7222 0.7147 0.7076 0.7152
Recall score 0.5018 0.4996 0.5708 0.6399 0.4996 0.6280 0.6372 0.6505 0.5958
F1 score 0.4584 0.4514 0.5796 0.6560 0.4514 0.6523 0.6601 0.6702 0.6158
ROC-AUC 0.5018 0.4996 0.5708 0.6399 0.4996 0.6280 0.6372 0.6505 0.5958