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解决imbalanced dataset的一些方法

updated by xlj on Dec 16

  1. sampling一个比例合理的子集作为训练集,或在不同batch中取样比例均衡 https://content.iospress.com/articles/intelligent-data-analysis/ida184327(4.1)

  2. 用已有数据生成新的样例,补充minority set (1)GAN生成 https://linkinghub.elsevier.com/retrieve/pii/S0925231219309257 (2)k-均值聚类+遗传算法 https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8602972

  3. cost-sensitive classifier 给不同类的loss加一个权值,使其有偏向

  4. thredshold 在stackoverflow看到的,大概是控制概率输出的范围???

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