Code and Dataset for "Filtering interlopers with photometry and diagnostic features"

This repository contains the key source code and derived dataset (primarily the subsample; a collaborative effort between SJTU and NAOC; the full dataset relies on data from Wen et al. 2024 and Sui et al. 2025 and is available upon reasonable request by contacting the authors) for the XGBoost classifier described in "Filtering Interlopers with Photometry and Diagnostic Features: A Machine Learning Framework Validated with CSST Slitless Spectroscopy". It reproduces the main results, including hyperparameter tuning, model evaluation, and ROC curve generation. See README for details.