Table 1 Artificial intelligence model fitting parameters
From: Mechanisms of HRAS regulation of liver hepatocellular carcinoma for prognosis prediction
Accuracy | Precision | Recall | F1 | AUC | Sensitivity | |
|---|---|---|---|---|---|---|
Training set | ||||||
SVM | 0.899396378 | 0.924242424 | 0.948186528 | 0.936061381 | 0.946716146 | 0.948186528 |
KNN | 0.893360161 | 0.958677686 | 0.901554404 | 0.929238985 | 0.947801428 | 0.901554404 |
RF | 0.867203219 | 0.890243902 | 0.945595855 | 0.917085427 | 0.925769033 | 0.945595855 |
Test set | ||||||
SVM | 0.859813084 | 0.90797546 | 0.90797546 | 0.90797546 | 0.868880067 | 0.90797546 |
KNN | 0.841121495 | 0.916129032 | 0.871165644 | 0.893081761 | 0.891014074 | 0.871165644 |
RF | 0.85046729 | 0.883040936 | 0.926380368 | 0.904191617 | 0.884879105 | 0.926380368 |