Research Article
Using XGBoost to Discover Infected Hosts Based on HTTP Traffic
Table 5
Experimental parameters settings.
| Parameter | Description | Value |
| booster | Tree model | gbtree | gamma | For pruning | 1 | max_depth | Depth of decision tree | 12 | scale_pos_weight | Balance positive and negative sample weights | 1 | subsample, colsample_bytree | Proportion of random collected samples each time | 1 | min_child_weight | Number of leaf nodes in the decision tree | 1000 | eta | Learning rate | 0.1 |
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