Shubham Gupta

Auditing Evaluation Leakage in Formula 1 Race-Strategy Machine Learning: A Track-Identity Confound and a Corrected Protocol

Machine learning models for Formula 1 race strategy are typically evaluated with random train/test splits over lap-level data, which lets adjacent laps from the same race leak between train and test. We quantify this directly on lap time and pit-stop prediction using 2023 FastF1...

Auditing Evaluation Leakage in Formula 1 Race-Strategy Machine Learning: A Track-Identity Confound and a Corrected Protocol

Machine learning models for Formula 1 race strategy are typically evaluated with random train/test splits over lap-level data, which lets adjacent laps from the same race leak between train and test. We quantify this directly on lap time and pit-stop prediction using 2023 FastF1...