{% extends "base.html" %} {% block title %}Submit Your Recommender - RevMax Competition{% endblock %} {% block content %}

Submit Your Recommender

Choose a unique team name for the leaderboard
We'll use this to contact you if needed
Upload your submission.py file (max 16MB)
Submission Guidelines
  • Your file must be named exactly submission.py
  • Implement your recommender as MyRecommender class
  • Follow the template structure provided in the course materials
  • Rankings are based on test_discounted_revenue metric
  • Evaluation may take several minutes to complete
  • Check the leaderboard for your results

Top Performers

View Full Leaderboard
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Competition Stats

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Total Submissions

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Successful

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Unique Teams

How It Works

1. Upload

Submit your submission.py file with your custom MyRecommender implementation.

2. Evaluate

Our server runs your recommender against the standardized test dataset using train-test split.

3. Rank

Results are ranked by test_discounted_revenue - the key performance metric.

4. Compete

See your position on the leaderboard and compete with your classmates!

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