Skip to main content

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