In the context of developing a machine learning model for a financial services company, the team is considering feature engineering to enhance model performance. The dataset includes transaction amounts, frequencies, and timestamps, among other variables. The primary goal is to detect fraudulent transactions with high accuracy while ensuring the model remains interpretable for regulatory compliance. Given these constraints, what are the two main advantages of applying feature engineering in this scenario? Choose two correct options.