Artificial Intelligence, Data Science, Machine Learning, Technology, Algorithms.
non-fraudulent, 950 fraudulent. Undersampling+Oversampling Combining both techniques balances the dataset by reducing the majority class and increasing the minority class. Example: Original: 950 non-fraudulent, 50 fraudulent. After mixing: 300 non-fraudulent (under sampled), 300 fraudulent