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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