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Table 7 Prediction of mortality rate of Group I 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 0.6828 0.6908 0.6329 0.6763 0.6731 0.6989 0.7279 0.7198 0.7037
Precision 0.6792 0.6878 0.6431 0.6719 0.6658 0.6948 0.7237 0.7169 0.7017
Recall score 0.6822 0.6911 0.6439 0.6742 0.6599 0.6977 0.7268 0.7206 0.7056
F1 score 0.6796 0.6880 0.6328 0.6724 0.6613 0.6954 0.7246 0.7172 0.7015
ROC-AUC 0.6822 0.6911 0.6439 0.6742 0.6599 0.6977 0.7268 0.7206 0.7056