ENTRY 02 โ€” MACHINE LEARNING

F1 Race Winner Prediction

ML Pipeline ยท Formula 1 Data

PythonPandasscikit-learnXGBoostFastF1
Project image coming soon

This project predicts Formula 1 race winners using historical race data. Features are built from race results, qualifying positions, and driver/team statistics, then fed into XGBoost classifiers.

Overview

The pipeline handles class imbalance across train/test splits and evaluates model performance on held-out races. More detail on feature engineering and results will be added later.