/Dataset-Balancing-Card-Fraud

Addressing highly imbalanced datasets in credit card fraud detection: Four balancing techniques are explored: Random Upsampling, Random Downsampling, SMOTE, and ADASYN, aiming to enhance predictive model performance by improving minority class representation

Primary LanguageJupyter Notebook

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