Standard Bank Tech Impact Challenge: Xente credit scoring challenge
2000 Zindi Points
Predict the likelihood of credit default of ecommerce clients
386 data scientists enrolled, 96 on the leaderboard
Financial ServicesPredictionStructured
Uganda
30 August 2019—2 December 2019
Nature of problem
published 25 Oct 2019, 15:41
edited 3 days later

Hi , just considering joining this competition and I have a question about the problem.

Why are we predicting for each TransactionId and not for each LoanId?

Could some explain the nature of the problem a bit more?