Randomized Balanced Oversampling (RBO) is a data augmentation technique for imbalanced datasets. It generates synthetic samples in the feature space to improve class balance, enhancing classification ...
This notebook focuses on credit card fraud detection using oversampling techniques to handle the imbalanced dataset Credit card fraud detection is a binary classification problem, where the dataset ...
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