You recently deployed an ML model in a production environment. After monitoring its performance for three months, you notice that the model is underperforming on certain subgroups, leading to biased predictions. You suspect that this issue arises due to class imbalances in the training data, but collecting additional data is not an option. Given these constraints, what actions should you take to address the model's inequitable performance? (Choose two.)