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I'm currently working on imbalanced classification problem. However i found different result between SMOTE in rapidminer and SMOTE in imblearn (python). rapidminer SMOTE give 15-20% improvement on cross validation, but imblearn only give 5%. is it possible? i'm using random forest as basic learner with default config for both

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