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. 2021 Nov 3;141:105003. doi: 10.1016/j.compbiomed.2021.105003

Fig. 3.

Fig. 3

Structural features of the proposed XGBoost + LR model. First, the XGBoost classifier is used as a feature selection model, whose result would be one-hot coded. Second, using the results of the XGBoost model as the LR model input, the final result is predicted.