Table 3 Average precision (AP) for each ML model.
ML model | AP |
|---|---|
RF | 0.84 ± 0.13 |
LR | 0.81 ± 0.18 |
SVM | 0.81 ± 0.21 |
NN | 0.77 ± 0.21 |
XGBoost | 0.76 ± 0.15 |
Ridge | 0.75 ± 0.16 |
Lasso | 0.75 ± 0.16 |
ElasticNet | 0.75 ± 0.19 |
k-NN | 0.73 ± 0.20 |