Detecting wide binaries using machine learning algorithms (data repository)

This dataset contains the pretrained model parameters and the data used for training the ML models developed for the tool available at WBS-GAIA. The accompaning paper is titled "Detecting wide binaries using machine learning algorithms" (Amoy Ashesh, Harsimran Kaur, Sandeep Aashish, 2025). The work has been published in The Open Journal of Astrophysics and can be accessed here: 10.33232/001c.146027The folder for anomaly detection contains the repository made available by Chae, Kyu-Hyun and El-Badry, Kareem: Chae, K.-H. (2024). Python scripts to test gravity with the dynamics of wide binary stars. Zenodo. https://doi.org/10.5281/zenodo.10652994 El-Badry, K. (2021). Wide binaries from Gaia eDR3 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4435257