Woohoo! This competition has come to a close!
Many thanks to the participants for all of their hard work and commitment to using data for good!
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.
Predicting Blood Donations
We've all got to start somewhere. This is the smallest, least complex dataset on DrivenData. That makes it a great place to dive into the world of data science competitions. Get your blood pumping and try your hand at predicting donations.
Blood donation has been around for a long time. The first successful recorded transfusion was between two dogs in 1665, and the first medical use of human blood in a transfusion occurred in 1818. Even today, donated blood remains a critical resource during emergencies.
Our dataset is from a mobile blood donation vehicle in Taiwan. The Blood Transfusion Service Center drives to different universities and collects blood as part of a blood drive. We want to predict whether or not a donor will give blood the next time the vehicle comes to campus.
Competition End Date:
March 21, 2019, 11:59 p.m.
|This competition is for learning and exploring, so the deadline may be extended in the future.|
Data is courtesy of Yeh, I-Cheng via the UCI Machine Learning repository:
Yeh, I-Cheng, Yang, King-Jang, and Ting, Tao-Ming, "Knowledge discovery on RFM model using Bernoulli sequence, "Expert Systems with Applications, 2008, doi:10.1016/j.eswa.2008.07.018.
Warm Up: Predict Blood Donations: Rules and Terms of Data Use
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