In conclusion, we demonstrated the applicability of PythiaCHEM in developing accurate ML models for assessing the transport activity of synthetic anion transporters. Both GP and ET show comparable predictive performance, achieving high accuracy in classifying the transporters. Analysis with SHAP and feature importance extraction revealed that GP emphasizes experimental conditions, while ET prioritizes specific molecular properties.