Hi all,

I am facing the imbalanced classification problems. That means I have a
dataset, in which the ratio of majority data to minority data is 100:1 (or
more).

In addition, the independent variables are many and this is a binary
classification questions.

The model I built give poor predictive power for minor data, but for the
majority data the predictivity seems to overfitting.


Could you give me a suggestions to solve the imbalanced classification
problems?


Thanks in advance!

Kevin

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