This is a private hackathon open to all students at Miva Open University who registered for the hackathon. If you would like to participate, send us an email to chinonso@miva.university.
Financial Inclusion remains one of the main obstacles to economic and human development in Africa. For example, across Kenya, Rwanda, Tanzania, and Uganda, only 9.1 million adults (or 13.9% of the adult population) have access to or use a commercial bank account.
Traditionally, access to bank accounts has been regarded as an indicator of financial inclusion. Despite the proliferation of mobile money in Africa and the growth of innovative fintech solutions, banks still play a pivotal role in facilitating access to financial services. Access to bank accounts enable households to save and facilitate payments while also helping businesses build up their credit-worthiness and improve their access to other finance services. Therefore, access to bank accounts is an essential contributor to long-term economic growth.
The objective of this competition is to create a machine learning model to predict which individuals are most likely to have or use a bank account. The models and solutions developed can provide an indication of the state of financial inclusion in Kenya, Rwanda, Tanzania and Uganda, while providing insights into some of the key demographic factors that might drive individuals’ financial outcomes.
About Miva University :
Miva Open University delivers an innovative and student-centred online learning experience designed for today’s dynamic world. We provide flexible, accessible, and personalized education that enables learners to balance their academic pursuits with professional, entrepreneurial, and personal commitments.
Licensed by the National Universities Commission (NUC) in 2023, Miva is fully accredited to offer quality tertiary education in Nigeria. Our digital-first model leverages modern learning technologies, interactive platforms, and expert faculty to ensure that students receive globally relevant, industry-aligned education, anytime, anywhere.
A key strength of Miva is its robust school of computing programmes, which equip students with practical and future-ready digital skills. Our offerings in areas such as B.Sc Computer Science, B.Sc Information Technology, B.Sc Software Engineering, B.Sc Data Science, B.Sc Cybersecurity and Masters in Information Technology are designed to meet industry demands and prepare graduates for careers in the global technology ecosystem.
At Miva, we are committed to expanding access to higher education, fostering innovation, and preparing graduates to thrive in a rapidly evolving global economy.
The evaluation metric for this challenge is Accuracy.
Your goal is to accurately predict the likelihood that an individual has a bank account or not, i.e. Yes = 1, No = 0.
Your submission file should look like:
unique_id bank_account <string> <number> uniqueid_1 x Kenya 1 uniqueid_2 x Kenya 0 uniqueid_3 x Kenya 1
This is a private hackathon open to all students at Miva Open University who registered for the hackathon. If you would like to participate, send us an email to chinonso@miva.university.
Teams and collaboration
You may participate in competitions as an individual.
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 immediately disqualified from the platform.
Code must not be shared privately. 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.
You may use pretrained models as long as they are openly available to everyone.
You are allowed to access, use and share competition data for any commercial,. 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.
You may make a maximum of 20 submissions for this hackathon.
Before the end of the competition you need to choose 2 submissions to be judged on for the private leaderboard. If you do not make a selection your 2 best public leaderboard submissions will be used to score on the private leaderboard.
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.
Note that to count, your submission must first pass processing. If your submission fails during the processing step, it will not be counted and not receive a score; nor will it count against your daily submission limit. If you encounter problems with your submission file, your best course of action is to ask for advice on the Competition’s discussion forum.
If you are in the top 5 at the time the leaderboard closes, the host of this hackathon will reach out to you via the Zindi inbox to request your code. On receipt of the message, 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 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).
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.
Zindi is committed to providing solutions of value to our clients and partners. To this end, we reserve the right to disqualify your submission on the grounds of usability or value. This includes but is not limited to the use of data leaks or any other practices that we deem to compromise the inherent value of your solution.
Zindi also reserves the right to disqualify you and/or your submissions from any competition if we believe that you violated the rules or violated the spirit of the competition or the platform in any other way. The disqualifications are irrespective of your position on the leaderboard and completely at the discretion of Zindi.
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.
Reproducibility of submitted code
Data standards:
Consequences of breaking any rules of the competition or submission guidelines:
Monitoring of submissions
This hackathon was curated to help students build on their hands-on skills in Data Science and Machine Learning.
You will receive 500 Zindi points on participation in this hackathon.
It will run throughout the semester. Be sure to join in and upskill in your studies.
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