csot '26/quant track

Predict.
Score on R².

Upload a CSV with columns id and target — your predictions for each row in the test set. We score against ground truth and rank by coefficient of determination.

How it works

  1. 01
    Build your model

    Train on the cohort dataset. Export one prediction per test id.

  2. 02
    Format your CSV

    Header row id,target — ids must match the test set exactly.

  3. 03
    Upload & compete

    Drop the file on your dashboard. R² appears in seconds; best score counts on the leaderboard.

Live top three

No scored submissions yet. Upload a predictions CSV from the dashboard. Leaderboard

id,target 1989,0.42 1990,-0.1