Heart Disease Prediction Hackathon
classification
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import antigranular as ag
session = ag.login(
"********", "************",
competition = "Heart Disease Prediction Hackathon")About the competition
Caution: Excessive epsilon spending may significantly impact your score. To familiarize yourself with how the system works, practice spending epsilon efficiently in our sandbox competition.
Tip: Export important variables and save to a file for easy retrieval in case the kernel stops.
About the dataset
Submission
1)Using session object to submit and print the result
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result = session.submit_predictions(df_pred)
print(result)NOTE: session here is the session object assigned against ag.login
2)Using the ag_utils submit_predictions function
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submit_predictions(pd.DataFrame(y_pred))NOTE: here y_pred is the predicted (Private) DataFrame object
About the prize
Quick Start
Can't wait to start? Get everything you need from the Starter Notebok!
Prize
A total of €4500 in prizes is available, divided among 10 different prize categories. Prizes include flights to Boston, cash awards, and Antigranular and Oblivious swag. Participants can win multiple prizes depending on their performance in the competition.
Ranking Prizes (Can only win one)
- Top 1 (~€2000 Value): Tickets, flights and accommodation to Theory and Practice of Differential Privacy (TPDP) 2024 Workshop and Harvard’s OpenDP community meeting + Antigranular Swag + Oblivious Swag
- Top 2 (+€500 Value): €500 + Antigranular Swag + Oblivious Swag
- Top 3 (+€300 Value): €300 + Antigranular Swag
- Top 4-5: (+€400 Value): 2 prizes of €200 each
- Top 5-10: (+€500 Value): 5 prizes of €100 each
Library Prizes (Can win multiple)
- OpenDP Prize (€200): Best use of OpenDP
- Opacus Prize (€200): Best use of Opacus
- TF Prize (€200): Best use of TF Privacy
Fun Prizes (Can win multiple)
- Docs Prize (€100): Best documented notebook
- Lowest Epsilon (€100): Lowest Epsilon Budget Usage (Must be Inside Top 20)
Competition rules
Getting started
Sign Up and Log In!
First things first, create an account on the platform. You can register via email or just use your Google or GitHub credentials.
Explore the competitions
Dive into the available competitions and choose the one you're interested in. Seems you have already picked this one!
Get your Jupyter Notebook ready
You can use any available option, including Google Colab or your local system.
Install the Antigranular package
Type in a "pip install antigranula" command to connect to Antigranular.
Secure enclave access
Connect to the secure enclave by copying the code block at the top right corner of the competition page which includes your custom credentials. Paste them into your Jupyter Notebook to connect to the secure enclave. Check the sample notebooks if in doubt.
You're in!
Upon successful login, you'll see the session ID and the %%ag cell magic registered to your system.
Ready to make a submission?
Submit a prediction by simply typing “session.submit_predictions (your_prediction_dataframe)” to find out how you rank on the leaderboard.
Spend wisely
Antigranular is not just about accuracy but also about using the least amount of privacy budget. Navigate the trade-off like a boss to come out on top. Head to the Antigranular Docs for details of the scoring system and epsilon best practice.
Got questions?
Join our Discord channel, where our team is ready to give you guidance and troubleshoot problems.