Model complexity refers to the level of sophistication and intricacy in a machine learning model. Higher complexity can lead to better performance on complex tasks but may also increase the risk of overfitting and computational demands.
AI predictions can be highly accurate, but the level of accuracy depends on various factors such as data quality, model…