Table 3.

The optimal hyper-parameter values of the proposed model, XG-ac4C.

The hyper-parameter	The optimal value
N-estimators	1200
Learning-rate	0.01
Min-child-wieght	5
Max-depth	5
Colsample-bytree	0.8
Gamma	5
Subsample	0.8
Scale-pos-weight	6