The competition is part of a one-day hackathon hosted by the Busara Center for Behavioral Economics on 17 November 2018 in Nairobi. Welcome to the hackathon participants!
This competition will be open for the entire Zindi community to make submissions for approimately 2 months. The top 10 winners will receive up to 500 Zindi Points.
The World Health Organization estimates that 1.3 million Kenyans suffer from untreated major depressive disorder (MDD; commonly known as depression) every year, and that sub-Saharan Africa has the highest prevalence of the illness of any region in the world. Yet mental health treatment in Kenya suffers from a lack of resources and stigmatization. There are only two certified psychiatrists per million people in Kenya. Few facilities exist outside of urban areas and people are unlikely to know about or access them.
Can machine learning help alleviate this problem? Smart targeting of potential cases could help enable scarce resources to reach those who most need it and improve or save an untold number of lives.
With this in mind, the Busara Center for Behavioral Economics has decided to challenge the data science community in Nairobi, across Africa, and around the world to predict depression cases from routine survey data.
A model which accurately predicts which individuals are likely to be depressed from the survey data could be used by mental health providers such as local clinics, NGOs or community health volunteers to reach out to those at risk. We look forward to your solutions to this pressing problem.
This competition is hosted by the Busara Center for Behavioral Economics in partnership with AI Kenya, Women in Machine Learning and Data Science, Tulaa and ALX Launchpad.
About Busara (www.busaracenter.org)
The Busara Center for Behavioral Economics is a research and advisory nonprofit organization founded in 2012 and headquartered in Nairobi. We are dedicated to applying and advancing behavioral science in the Global South.
The Busara Center partners with academic institutions around the world to close the global research gap and serves clients in the health, governance and financial inclusion sectors from offices in Kenya, Uganda, Tanzania, Ethiopia and Nigeria.
About AI Kenya (www.aikenya.io)
AI Kenya is a group for all enthusiasts, learners and developers in Machine Learning, Data Science and Artificial Intelligence in general. We are a community of AI practitioners & Data Scientists across East Africa that come together to share knowledge & challenges in the field.
About WiMLDS (www.wimlds.org)
The mission of WiMLDS is to support and promote women and gender minorities who are practicing, studying or are interested in the fields of machine learning and data science. We create opportunities for members to engage in technical and professional conversations in a positive, supportive environment by hosting talks by women and gender minority individuals working in data science or machine learning, as well as hosting technical workshops, networking events and hackathons.
About Tulaa (www.tulaa.io)
A mobile commerce solution built for rural Africa. We combine mobile technology and last mile agent networks to connect agri-input suppliers, financial service providers and commodity buyers to smallholder farmers.
About ALX (www.alx.app)
ALX is a lifelong learning community that seeks to empower high-potential youth, recent graduates and rising professionals into high-impact leaders.
Teams and collaboration
You may participate in this competition as an individual or in a team of up to four people. When creating a team, the team must have a total submission count less than or equal to the maximum allowable submissions as of the formation date. A team will be allowed the maximum number of submissions for the competition, minus the highest number of submissions among team members at team formation. Prizes are transferred only to the individual players or to the team leader.
Multiple accounts per user are not permitted, and neither is collaboration or membership across multiple teams. Individuals and their submissions originating from multiple accounts will be disqualified.
Code must not be shared privately outside of a team. Any code that is shared, must be made available to all competition participants through the platform. (i.e. on the discussion boards).
Datasets and packages
The solution must use publicly-available, open-source packages only. Your models should not use any of the metadata provided.
You may use only the datasets provided for this competition.
The data used in this competition is the sole property of Zindi and the competition host. You may not transmit, duplicate, publish, redistribute or otherwise provide or make available any competition data to any party not participating in the Competition (this includes uploading the data to any public site such as Kaggle or GitHub). You may upload, store and work with the data on any cloud platform such as Google Colab, AWS or similar, as long as 1) the data remains private and 2) doing so does not contravene Zindi’s rules of use.
You must notify Zindi immediately upon learning of any unauthorised transmission of or unauthorised access to the competition data, and work with Zindi to rectify any unauthorised transmission or access.
Your solution must not infringe the rights of any third party and you must be legally entitled to assign ownership of all rights of copyright in and to the winning solution code to Zindi.
Submissions and winning
You may make a maximum of 10 submissions per day. Your highest-scoring solution on the private leaderboard at the end of the competition will be the one by which you are judged.
As the challenge has now closed, the maximum number of submissions per day is 30.
Zindi maintains a public leaderboard and a private leaderboard for each competition. The Public Leaderboard includes approximately 50% of the test dataset. While the competition is open, the Public Leaderboard will rank the submitted solutions by the accuracy score they achieve. Upon close of the competition, the Private Leaderboard, which covers 100% of the test dataset, will be made public and will constitute the final ranking for the competition.
If you are in the top 20 at the time the leaderboard closes, we will email you to request your code. On receipt of email, you will have 48 hours to respond and submit your code following the submission guidelines detailed below. Failure to respond will result in disqualification.
If your solution places 1st, 2nd, or 3rd in the final ranking, will NOT be required to assign rights of copyright to Zindi. We will however encourage the winners to share their code on GitHub as a public good to the sector.
If two solutions earn identical scores on the leaderboard, the tiebreaker will be the date and time in which the submission was made (the earlier solution will win).
The winners will be paid via bank transfer, PayPal, or other international money transfer platform. International transfer fees will be deducted from the total prize amount, unless the prize money is under $500, in which case the international transfer fees will be covered by Zindi. In all cases, the winners are responsible for any other fees applied by their own bank or other institution for receiving the prize money. All taxes imposed on prizes are the sole responsibility of the winners.
You acknowledge and agree that Zindi may, without any obligation to do so, remove or disqualify an individual, team, or account if Zindi believes that such individual, team, or account is in violation of these rules. Entry into this competition constitutes your acceptance of these official competition rules.
- All data used
- Output data and where they are stored
- Explanation of features used
- Your solution must include the original data provided by Zindi and validated external data (no processed data)
- All editing of data must be done in a notebook (i.e. not manually in Excel)
- You must use the most recent versions of packages. Custom packages in your submission notebook will not be accepted.
- You may only use tools available to everyone i.e. no paid services or free trials that require a credit card.
Consequences of breaking any rules of the competition or submission guidelines:
Monitoring of submissions
Further updates and rulings of note:
We reserve the right to update these rules at any time.
There are no cash prizes for this challenge.
However, the top 10 submissions will earn up to 500 Zindi Points.
The error metric used will be the percentage of survey respondents for whom you predict the 'depressed' variable incorrectly. Therefore the closer to zero, the better your score.
Your submission file should look like this:
surveyid depressed <string> <number> 532 1 901 0 65 0
This competition starts 17 November, in line with the Busara hackathon in Nairobi.
After the hackathon on 17 November, this competition will remain open until 27 January 2019.
Final submissions must be received by 11:59 PM GMT.
Up to 500 Zindi points will be awarded for the top 10 submissions within 2 weeks of the close of the competition.
We reserve the right to update the contest timeline if necessary.