Modeling Decisions in Blockchain Analytics: A Leakage-Aware Evaluation of Tree-Based vs. Sequential Models
This work contributes a framework for leakage-aware Ethereum actor classification and a Transaction Grammar representation of wallet behavior, and demonstrates that, under leakage-aware evaluation, XGBoost outperforms Transformer-based sequence models while providing lower latency and estimated energy use.