Learning from Imbalanced Classes
https://www.svds.com/learning-imbalanced-classes/
下采样即 从大类负类中随机取一部分,跟正类(小类)个数相同,优点就是降低了内存大小,速度快!
http://www.tuicool.com/articles/r2ee2ie
Learn more about SMOTE, see the original 2002 paper titled “ SMOTE: Synthetic Minority Over-sampling Technique “.
There are a number of implementations of the SMOTE algorithm, for example:
- In Python, take a look at the “ UnbalancedDataset ” module. It provides a number of implementations of SMOTE as well as various other resampling techniques that you could try.
- In R, the DMwR package provides an implementation of SMOTE.
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