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SMOTE takes your entire dataset as an enter, nevertheless it will increase The proportion of only the minority cases. One example is, suppose you've an imbalanced dataset the place just 1 percent on the cases have the goal price A (the minority class), and ninety nine per cent of your cases have the value B.
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You'll be able to often recuperate final results if you cleanse missing values or use other transformations to repair details before you use SMOTE.
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