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Cost_Sensitive-Random-Forest

代价敏感的随机森林 1.该模型只能针对二分类问题 2.在CluACTree函数中,分子部分乘的系数可以根据个人调整,这个就是代价矩阵中C01和C10的值 3.采用的UCI的红酒数据集,Wine是训练集,Winet是测试集合,可以根据自己的实验目的更换数据集,但是格式要遵循

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