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. 2022 Mar 17;10:853757. doi: 10.3389/fpubh.2022.853757

Table 3.

Model parameters for best performing XGBoost models.

Best models-XGBoost
Parameter VRE CRE MRSA MDRO
colsample_bytree 0.8 0.8 0.8 0.8
gamma 0 0 0 0
learning_rate 0.05 0.05 0.05 0.05
max_depth 5 5 5 5
min_child_weight 1 1 1 1
n_estimators 200 200 200 200
nthread 4 4 4 4
objective binary:logistic binary:logistic binary:logistic binary:logistic
seed 1337 1337 1337 1337
subsample 0.8 0.8 0.8 0.8
Threshold Bound 0.15 0.015 0.10 0.30