Table 2 Clinical features combined with machine learning models for diagnostic performance
From: Research on multi-model imaging machine learning for distinguishing early hepatocellular carcinoma
| Â | Accuracy | |
|---|---|---|
| Â | Training group | Test group |
SVM | 0.701 | 0.750 |
KNN | 0.740 | 0.773 |
RandomForest | 0.870 | 0.727 |
XGBoost | 0.842 | 0.795 |
LightGBM | 0.701 | 0.750 |
MLP | 0.689 | 0.727 |