The dataset contains race-level features used to predict whether a driver wins a race or not.

Each row represents a race instance. The `id` column uniquely identifies each row. The target variable `won_race` indicates the race outcome, where `1` represents a win and `0` represents a non-win.

Participants are expected to perform exploratory data analysis (EDA), handle potential class imbalance, and build a binary classification model to predict race winners.



## Files

*   **train.csv** - the training set
*   **test.csv** - the test set