As a data scientist working for a bank, you are tasked with building a random forest model to detect fraudulent transactions. Your dataset contains transactional data, with only 1% of the transactions labeled as fraudulent. Due to the class imbalance, you need to choose an appropriate data transformation strategy to enhance the performance of your classifier. Which data transformation strategy should you use?