The three best ways to handle imbalanced dataset are :
- Oversampling
- Undersampling
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Imbalanced data sets are a special case for classification problem where the class distribution is not uniform among the classes. Typically, they are composed by two classes: The majority (negative) class and the minority (positive) class.
Chandradithya8/Handling_Imbalanced_Dataset
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Imbalanced data sets are a special case for classification problem where the class distribution is not uniform among the classes. Typically, they are composed by two classes: The majority (negative) class and the minority (positive) class.
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