PRACTICE Intermediate Challenge
Can predict when an insurance policy will lapse in Zimbabwe?
Ended 11 months ago
17 active ยท 250 enrolled

The practice challenges have closed!

Enroll in the official UmojaHack 2022 Intermediate Challenge here - Monthly Insurance Claim Prediction Challenge (INTERMEDIATE)

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This is the official intermediate practice challenge for UmojaHack Africa 2022.

During a crisis like COVID-19, we recognize the crucial role that insurance can play in our ability to weather an unexpected storm. Insurance products help people and their families access the financial and medical support they need when they need the help the most.

Insurance companies rely on monthly premiums from their clients as their principal source of income; these premiums buy the client insurance against accidents, fires, injury or theft. However, insurance is a competitive market, and there are many factors that can cause a customer to leave an insurance provider, be it poor service delivery, competitive pricing, personal financial stress such, or other environmental factors. This customer loss is known in the business as ‘churn’.

In this competition, your objective is to develop a predictive model that determines the likelihood for an insurance customer to churn - to seek an alternative insurer or simply drop out of the insurance market altogether. In light of the current pandemic, churn prediction can be used to offer targeted support and tailored services to certain customers vulnerable to churning. This means more people can continue to be covered when they most need it most and insurance companies can be more efficient at serving and retaining their customers.

About Zimnat (

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.


The evaluation metric for this challenge is Log Loss.

The values can be between 0 and 1, inclusive.

Leave your predictions as probabilities with values between 0 and 1 and do not round them to 0s or 1s.

Policy ID    Lapse
PID_3Q5P60V   0.34
PID_0WLGDPI   0.11
PID_WKYV46C   0.97

This is a learning competition. Aside from knowledge, there are no prizes for this competition.


As this is a knowledge competition it will not close.

We reserve the right to update the contest timeline if necessary.


As this is a learning challenge, aside from the rules in the Terms of Use, no other particular rules apply. This challenge is open to all and not restricted to any country.

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.

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).

The Zindi user who sets up a team is the default Team Leader. The Team Leader can invite other data scientists to their team. Invited data scientists can accept or reject invitations. Until a second data scientist accepts an invitation to join a team, the data scientist who initiated a team remains an individual on the leaderboard. No additional members may be added to teams within the final 5 days of the competition or the last hour of a hackathon, unless otherwise stated in the competition rules

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 only use the data sets provided. External data is not allowed.

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.

Submissions and winning

You may make a maximum of 10 submissions per day.

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.

Note that there is no public/private leaderboard split for this challenge.

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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.