Artificial Intelligence, Data Science, Machine Learning, Technology, Algorithms.
950 non-fraudulent, 50 fraudulent. After under sampling: 50 non-fraudulent, 50 fraudulent. Oversampling Oversampling increases the number of instances in the minority class by duplicating or generating new instances. Example: Original: 950 non-fraudulent, 50 fraudulent. After oversampling: 950