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Results tagged with unbalanced-classes
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user 28051
Data organized into discrete categories or *classes* may present problems for certain analyses if the number of observations ($n$) belonging to each class is not constant across classes. Classes with unequal $n$ are *unbalanced*.
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Does GBM classification suffer from imbalanced class sizes?
In my experience, GBM does indeed suffer from imbalanced class sizes. I have had good success using SMOTE sampling, which creates synthetic data while oversampling the minority class. You can find it …
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