Comparison of generalised additive models and neural networks in applications: A systematic review (Dataset)
Abstract
Data collected for a systematic review analysing the performance between generalised additive models and neural networks on tabular data. A total of 445 papers were retrieved from a Scopus search string; of these, 143 papers were included, comprising 430 datasets that compared generalised additive models and neural networks. The paper "Comparison of generalised additive models and neural networks in applications: A systematic review" analyses these datasets.
Fields of Study & Subjects
Neural Networks and Applications
Statistical Methods and Applications
Machine Learning and Data Classification
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 13 January 2026
- Document type
- Dataset