In the context of preparing a dataset for a machine learning model that predicts housing prices, you are considering the step of data normalization. The dataset includes features such as square footage, number of bedrooms, and age of the property, each with varying scales. Your goal is to ensure that the model performs optimally by addressing the scale variance among features. Which of the following best describes the primary benefit of applying data normalization in this scenario? Choose the best option.