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Table 3 Possible parameters of the XGBoost model

From: Time series analysis of hemorrhagic fever with renal syndrome in mainland China by using an XGBoost forecasting model

Model
Parameters
Best
Rounds
Test
RMSE
Train
RMSE
SubSamp
Rate
ColSamp
Rate
Depth Eta MinChild
1 105 238.308 161.126 0.400 0.600 2 0.050 2
2 113 238.591 160.885 0.400 0.400 2 0.050 2
3 96 239.072 155.984 0.400 0.500 2 0.060 2
4 95 239.153 154.751 0.400 0.600 2 0.060 2
5 133 239.843 138.405 0.600 0.300 2 0.050 1
6 179 239.886 136.431 0.600 0.300 2 0.040 2