binary classification for imbalanced data
You can use Synthetic Minority Oversampling Techniques(SMOTE) or Adasyn to tackle this. Try both methods and finalize based on your desired results.
In data mining, I use a machine learning algorithm to solve the binary classification.
However, the distribution of data samples is extremely imbalanced.
The ratio between good samples and bad samples is as high as 500:1.
Which methods can be used to solve the binary classification for imbalanced data?