From: Machine-learning based prediction of prognostic risk factors in patients with invasive candidiasis infection and bacterial bloodstream infection: a singled centered retrospective study
Model
Accuracy
Precision
Recall
F1
AUC
Logistic regression (LR)
0.716
0.559
0.760
0.644
0.753
Random forest (RF)
0.784
0.622
0.920
0.742
0.919
Support vector machine (SVM)
0.465
0.800
0.588
0.777