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#本程序由高端设计编写,需要引用或者有建议请联系邮箱[email protected]本程序数据源为4000多名健康与患者的混合宏基因组测序结果,样本体内的微生物数量已经换算成相对百分比,总和接近1,使用4种机器学习的分类方法,线性回归,神经网络,SVM,random forest 建立模型,对新样本预测其患病与否
pip install mlmetagenomics
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