Xente Fraud Detection Challenge
$4,500 USD
Accurately classify the fraudulent transactions from Xente's e-commerce platform
20 May–22 September 2019 23:59
1027 data scientists enrolled, 508 on the leaderboard
Perfect Score on Leaderboard
published 24 Jun 2019, 09:39
edited 1 minute later

Nikodim scored perfectly on Public Leaderboard. Possibilty of Data Leak?

Given that there only under 100 fraud cases the possibility arent that slim

Let's see how Zindi responds, otherwise its game over!

replying to KuntaKinte
edited less than a minute later

@KuntaKinte Data leaks are 'normal' but not so common in data and its upto the participants to detect this otherwise private leaderboard score will be worse than the public. if you have done Kaggle competitions then you must know this.

@steph_en_DataHack4Fi How do you get data leaks from data you don't have yet - test data isn't provided to participants. I think I'm missing your point, please explain.

@Ivor that type of leakage is a target leakage meaning that the predictors include data that won't be available at the time of prediction. To handle such a leakage, any variable that's created after the target value is realized should be excluded in training.

Hi everyone. Sorry for the delay on weighing in! @yohza37's makes a very good point here. We want to reassure you there is no data leakage and no "trick". Keep up the good work on this challenge!

Thanks for explaining it. Much appreciated.