Generalized additive models reduce the total cost of misclassification. Abstract This study uses data on consumer credit provided by a German retail and trading company along with generalized additive ...

GAMs (Generalized Additive Models) are a type of adaptation that allows us to model non-linear data while keeping it explainable. When compared to Generalised Linear Models like Linear Regression, a ...

Some models, such as linear regression, are easily interpretable, but inflexible, in that they don't capture many real-world relationships accurately. Other models, such as neural networks, are quite ...

Neural partially linear additive model. Higher Education Press . Journal Frontiers of Computer Science DOI 10.1007/s11704-023-2662-3 ...