This is a private hackathon open to UmojaHack Zimbabwe participants. If you are a university student in Zimbabwe and would like to participate, contact Zindi Ambassador Leonard Winter Mutambanengwe.

Giving loans is risky business. And the less you know about what loans will be paid, the harder it will be for you to manage that risk. For this competition, Zimnat has provided a sample dataset of over 12,000 loans, many of them with money overdue. Your challenge is to predict which loans will end in a missed payment, and which will not.

How to prepare for UmojaHack

1. Add your university to your profile. Watch this YouTube video.
2. Practice on a challenge and make your first Zindi submission. Watch this YouTube video.
3. Make a team in preparation for UmojaHack. Watch this YouTube video.

About Zimnat (zimnat.co.zw)

Zimnat has been a leading player in the Zimbabwean life assurance and short-term insurance industries since 1946. For over 70 years, Zimnat has been protecting the assets of Zimbabweans, managing their wealth and ensuring that their assets and funds are passed onto future generations, should that be their wish.

About Data Science Zimbabwe (twitter.com/datasciencezim)

DSZ is a platform for bringing together all those interested in the fields of data science, machine learning and AI as well as other computational technologies, to chart a path for increasing Zimbabwe's capacity to keep up with global advances in technology.

About U.Lab (twitter.com/ulabworks)

U.Lab is an innovation and experimentation lab focused on unlocking the power of deep tech to solve our toughest challenges.

This is a private hackathon open to UmojaHack Zimbabwe participants. If you are a university student in Zimbabwe and would like to participate, contact Zindi Ambassador Leonard Winter Mutambanengwe.

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. Automated machine learning tools such as automl are not permitted.

If the challenge is a computer vision challenge, image metadata (Image size, aspect ratio, pixel count, etc) may not be used in your submission.

You may use pretrained models as long as they are openly available to everyone.

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 100 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.

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 the other 50% of the test dataset, will be made public and will constitute the final ranking for the competition.

If your solution places 1st, 2nd, or 3rd in the final ranking, you will be required to submit your winning solution code to us for verification and you thereby agree to share all worldwide rights of copyright in and to such winning solution to Zindi.

Regardless of any public announcement of winners, Zindi reserves the right to disqualify any user, team, or university if the code does not reproduce the winning submission.

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.

Teams may win in one challenge category, and are encouraged to enter only one

• Participants may compete individually or in teams of up to four people.
• The teams will be judged based on their ranking on the dedicated Zindi leaderboard at the time of competition close.
• All participants in the hackathon must be registered students (undergraduate or graduate) at the university they represent. Lecturers, University staff, and alumni may participate in a mentorship or advisory capacity.
• Teams cannot collaborate or share information with each other.
• All solutions must use machine learning, but teams are permitted and encouraged to use exploratory data analysis in building their solutions.
• All solutions must use publicly-available, open-source packages only.
• Solutions must use only the allowed and available datasets.
• Participants caught cheating or breaking any competition rules will be immediately disqualified from the competition.
• Universities caught cheating or allowing teams to cheat will be immediately disqualified from the competition.
• The winning code must be submitted to Zindi for review and validation immediately at the close of the competition. In the interest of logistics, code review will take place only after the competition has closed and winners have been announced.

Please refer to the FAQs and Terms of Use for additional rules that may apply to this competition. We reserve the right to update these rules at any time.

The evaluation metric for this competition is the Area Under the ROC curve (AUC).

This error metric requires probabilities to be submitted, i.e. do not set thresholds (or round your probabilities) to improve your place on the leaderboard. In order to ensure that the client receives the best solution Zindi will need the raw probabilities. This will allow the clients to set thresholds to their own needs.

Your submission should look like this (numbers for illustrative purposes only):

Loan_ID    Target

00OADRP     0.2
012YMY8     0.6
014E83I     0.11

In order to win, you must:

• be a part of the UmojaHack Zimbabwe event on 17 October 2020
• be currently enrolled as a student at a Zimbabwean university
• have your affiliated university listed on your Zindi profile

1st prize: USD500 shared between members of the winning team, plus an interview for a Zimnat internship opportunity for all members of the team (Zimnat has one internship opportunity that will be offered to one of the winners)

2nd prize: USD300, plus an interview for a Zimnat internship opportunity for all members

3rd prize: USD200, plus an interview for a Zimnat internship opportunity for all members

Important to note: Only one team from each university will be allowed to win a prize. If more than one team from one university places in the top three, only the top team will win a prize. The remaining prizes will be awarded to the next top team/university.

This is a one day hackathon taking place on 17 October 2020 in Zimbabwe. All hours are given in local time.

09:00 – 09:30 Welcome and orientation (live video conference using Zoom)

09:30 – 10:00 Technical orientation to the platform and the challenges (live video conference using Zoom)

10:00 Competition opens (note that users can sign up for a competition and join teams before the time)

10:00 – 19:00 Students form teams and work on the challenge, questions and issues during this time can be addressed by local Zindi reps or via WhatsApp group

19:00 Submissions close

19:15 Announcement of local winners and prizes (live video conference using Zoom)