Maintaining models is crucial as they can deteriorate over time due to changing real-world conditions, such as shifts in population or regulations. Feature drift can significantly impact model performance, especially when new terms or behaviors emerge, highlighting the need for continuous monitoring. Additionally, the scale of input variables can affect model accuracy, making it essential to standardize inputs for optimal results.
