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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

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BMC Infectious Diseases

ISSN: 1471-2334

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