Conference
Open access
2026
Interpretable Machine Learning for Taxi Tipping Behavior Analysis in Urban Mobility Systems
The results show that FT-Transformer achieves the highest AUC for tipping occurrence prediction, while CatBoost achieves the strongest January holdout performance for conditional tip amount regression and remains close to the best external-test results.
Hui He, Ke-Feng Wang
· E3S Web of Conferences · 0 citations