This is a private hackathon for participants in Instadeep's data science program in collaboration with Google. To participate please contact Instadeep.

The Tunisian Company of Electricity and Gas (STEG) is a public and a non-administrative company, it is responsible for delivering electricity and gas across Tunisia. The company suffered tremendous losses in the order of 200 million Tunisian Dinars due to fraudulent manipulations of meters by consumers.

Using the client’s billing history, the aim of the challenge is to detect and recognize clients involved in fraudulent activities.

The solution will enhance the company’s revenues and reduce the losses caused by such fraudulent activities.

About STEG (https://www.steg.com.tn/en/institutionnel/mission.html)

The Tunisian Company of Electricity and Gas (STEG) is a public and a non-administrative company. It is responsible for delivering electricity and gas across Tunisia.

About InstaDeep (https://www.instadeep.com/)

InstaDeep delivers AI-powered decision-making systems for the Enterprise. With expertise in both machine intelligence research and concrete business deployments, we provide a competitive advantage to our customers in an AI-first world. As one of the leading AI companies in Africa, InstaDeep knows first-hand what African talent is truly capable of.

InstaDeep has more than 70 employees spread across its headquarters in London, and offices in Paris, Tunis, Nairobi, and Lagos. In addition to its connections to African educational institutions, the company also possesses strong ties to elite French schools and top-rated universities in the UK.

This is a private hackathon for participants in Instadeep's data science program in collaboration with Google. To participate please contact Instadeep.

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).

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.

If external data is allowed you may only use data that is freely available to everyone. You must send it to Zindi to confirm that it is allowed to be used and then it will appear on the data page under additional data.

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 30 submissions per day.

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

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.

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 metric used for this challenge is AUC.

Then the submission file should be as follows:

client_id       target
test_Client_0   0.986
test_Client_1   0.011
test_Client_10  0.734

Competition closes on 27 August 2020.

Final submissions must be received by 11:59 PM (Tunisia time).

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

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