As a Data Scientist working on a deep neural network model with TensorFlow to enhance customer satisfaction for after-sales services, you're tasked with optimizing the model's performance. Your coordinator emphasizes the importance of not only minimizing bias and increasing accuracy during Feature Engineering but also considering another critical factor to avoid potential pitfalls. This factor is crucial for ensuring the model's generalizability across different datasets. Which of the following factors should you also optimize to achieve a balanced model performance? (Choose two correct options)