Warm Up: Predict Blood Donations
Can you predict whether a donor will return to donate blood given their donation history? This is the smallest, least complex dataset on DrivenData, and a great place to dive into the world of data science competitions. Competition hosted by DrivenData. #health
Can you predict whether a donor will return to donate blood given their donation history? This is the smallest, least complex dataset on DrivenData, and a great place to dive into the world of data science competitions.
The importance of donating blood
Here at DrivenData, we believe donating blood is important. Good data-driven systems for tracking and predicting donations and supply needs can improve the entire supply chain, making sure that more patients get the blood transfusions they need.
In the United States, the American Red Cross is a good resource for information about donating blood. According to their website:
- Every two seconds someone in the U.S. needs blood.
- More than 41,000 blood donations are needed every day.
- A total of 30 million blood components are transfused each year in the U.S.
- The blood used in an emergency is already on the shelves before the event occurs.
- Sickle cell disease affects more than 70,000 people in the U.S. About 1,000 babies are born with the disease each year. Sickle cell patients can require frequent blood transfusions throughout their lives.
- More than 1.6 million people were diagnosed with cancer last year. Many of them will need blood, sometimes daily, during their chemotherapy treatment.
- A single car accident victim can require as many as 100 pints of blood.
For more information, you can look at the website of the American Red Cross: http://www.redcrossblood.org/donating-blood/why-donate-blood
Warm Up: Predict Blood Donations: Rules and Terms of Data Use
DrivenData Competition Rules
One account per participant
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Private sharing of code
Privately sharing code or data outside of teams is not permitted.
Public dissemination of entries
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Open licensing of winners
Winning solutions need to be made available under The MIT License (an open source software license commonly described at http://opensource.org/licenses/MIT) in order to be eligible for recognition and prize money if offered.
Documentation for winning solutions
Winning solutions must be documented using the provided Winning Model Documentation Template in order to be eligible for recognition and prize money if offered.
The number of submissions per day is restricted to a fixed value on a per-competition basis. Any attempt to circumvent this limit will result in disqualification.
External data is not allowed unless otherwise noted explicitly on these competition pages. Participants agree to make no attempt to use additional data or data sources not provided on these competition pages.
These are the complete, official rules for the Competition (the 'Competition Rules') and incorporate by reference the contents of the Competition Website listed above.
By downloading a dataset linked from the Competition Website, submitting an entry to this Competition, or joining a Team in this Competition, you are agreeing to be bound by these Competition Rules which constitute a binding agreement between you and DrivenData and, if applicable, any rules and restrictions that may be imposed by the Competition Sponsor.
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Selection of winners
This Competition is a challenge of skill and the final results are determined solely by leaderboard ranking on the private leaderboard (subject to compliance with these Competition Rules). Participants' scores and ranks on the Competition Website at any given stage of the Competition will be based on the evaluation metric described on the Competition Website, as determined by applying the predictions in the Submission to the ground truth of a validation dataset whose instances were a fixed set sampled from the Data.
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- disqualify your Submission(s); or
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Prizes and conditions
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Data use and code sharing
DATA. "Data" means the Data or Datasets linked from the Competition Website for the purpose of use by Participants in the Competition. For the avoidance of doubt, Data is deemed for the purpose of these Competition Rules to include any prototype or executable code provided to Participants by DrivenData or Competition Sponsor via the Website. Participants must use the Data only as permitted by these Competition Rules and any associated data use rules specified on the Competition Website.
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CODE SHARING. Participants are prohibited from privately sharing source or executable code developed in connection with or based upon the Data, and any such sharing is a breach of these Competition Rules and may result in disqualification. Participants are permitted to publicly share source or executable code developed in connection with or based upon the Data, or otherwise relevant to the Competition, provided that such sharing does not violate the intellectual property rights of any third party. By so sharing, the sharing Participant is thereby deemed to have licensed the shared code under the MIT License (an open source software license commonly described at http://opensource.org/licenses/MIT).
OPEN-SOURCE CODE. A Submission will be ineligible to win a prize if it was developed using code containing or depending on software licensed under an open source license:
- other than an Open Source Initiative-approved license (see http://opensource.org/licenses); or
- an open source license that prohibits commercial use.
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