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imbalance-handling

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chipkarsaish / SMOTE-Technique-for-Handling-Imbalance-dataset

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SMOTHE is a technique used in machine learning to address imbalance datasets where the minority class has significant fewer instances than the majority class. SMOTHE involves generating Synthetic instances of the minority class by interpolating between existing instances.

pandas dataset numpy-arrays imblearn smote-oversampler oversampling-technique imbalance-handling
  • Updated Jun 20, 2025
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