Additive models

An additive model is a statistical modeling method that represents complex nonlinear relationships by adding multiple simple functions, aiming to enhance the interpretability and predictive accuracy of the model. This model is particularly effective in handling high-dimensional data, as it can break down complex problems, making it easier to identify the independent contributions of each variable to the response variable. It is widely used in regression analysis, classification tasks, and machine learning fields.