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 Blood Transfusion Service Center Dataset
The UCI Machine Learning Repository is a great resource for practicing your data science skills. They provide a wide range of datasets for testing machine learning algorithms. Finding a subject matter you're interested in can be a great way to test yourself on real-world data problems. Given our mission, we're interested in predicting if a blood donor will donate within a given time window.
Here's what the first few rows of the training set look like:
|Months since Last Donation||Number of Donations||Total Volume Donated (c.c.)||Months since First Donation||Made Donation in March 2007|
Predict if the donor will give in March 2007
The goal is to predict the last column, whether he/she donated blood in March 2007.
Use information about each donor's history
Months since Last Donation: this is the number of monthis since this donor's most recent donation.
Number of Donations: this is the total number of donations that the donor has made.
Total Volume Donated: this is the total amound of blood that the donor has donated in cubuc centimeters.
Months since First Donation: this is the number of months since the donor's first donation.
This competitions uses log loss as its evaluation metric, so the predictions you submit are the probability that a donor made a donation in March 2007.
The submission format is a csv with the following columns:
|Made Donation in March 2007|
To be explicit, you need to submit a file like the following with predictions for every ID in the Test Set we provide:
,Made Donation in March 2007 659,0.5 276,0.5 263,0.5 303,0.5 ...
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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