The importance of model complexity lies in its ability to accurately represent real-world scenarios. Simple models, while easier to understand and parameterize, may overlook critical dynamics and interactions. Conversely, overly complex models can become unwieldy, difficult to interpret, and computationally intensive. Striking a balance is crucial for producing reliable and actionable insights.
