ml-engineer-pro video for you recently developed a regression model based on a training dataset that does not contain personally identifiable information (PII)
You recently developed a regression model based on a training dataset that does not contain personally identifiable information (PII) data in compliance with regulatory requirements. Before deploying the model, you perform post-training analysis on multiple data slices and discover that the model is under-predicting for users who are more than 60 years old. You want to remove age bias while maintaining similar training offline performance. What should you do?