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. 2018 Mar 20;38(3):251–260. [Article in Chinese] doi: 10.3969/j.issn.1673-4254.2018.03.03

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随机森林方法建立模型与模型验证

Prediction model and the validation model random forest. A: Receiver operating characteristic curve (ROC) of classification of the Bifidobacterium changes based only on initial microbiome data (AUC=89.6%); B: Important factors attributed to changes of Bifidobacterium; C: Correlation between index and changes of Bifidobacterium after 5 days FOS and GOS supplement in prediction model; D: Correlation between index and changes of Bifidobacterium after 9 days GOS supplement in validation model.