From: Time series analysis of hemorrhagic fever with renal syndrome in mainland China by using an XGBoost forecasting model
Parameters
Value
Booster
‘gbtree’
Objective
‘reg: squared error’
Early_stopping_rounds
5
Eval_metric
‘rmse’
Min_child_weight
2
Subsample
0.4
Colsample_bytree
0.6
Eta
0.05
Nrounds
200
Depth