Machine learning prediction of binary formation in three-body gravitational encounters
Ahmad Farhani Asl
Institute for Advanced Studies in Basic Sciences
astro-ph.GA, astro-ph.SR
Submitted: 2026-07-18
Comments: 10 pages, 6 figures
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Stability of Planetary Motion in Binary Star Systems
- XGBoost: A Scalable Tree Boosting System
- The Impact of Feature Scaling In Machine Learning: Effects on Regression and Classification Tasks
- New Hard-thresholding Rules based on Data Splitting in High-dimensional Imbalanced Classification
- Beyond Rebalancing: Benchmarking Binary Classifiers Under Class Imbalance Without Rebalancing Techniques
- Advancing Solutions for the Three-Body Problem Through Physics-Informed Neural Networks
- An empirical evaluation of imbalanced data strategies from a practitioner's point of view
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