Credit Card Fraud Detection Challenge
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Credit Card Fraud Detection Challenge

Welcome to the Datathon Competition 2023

justChi123
Low/No Code
Beginner Friendly
Total Prize 100
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Datathon Type

winners_podium

Research and education

No. of Users

3

No. of Submission

3

No. of Teams

0

Event

(It's nearly impossible to predict the lottery winners, but we think that Machine Learning can solve the problem)

Description

Description of the competition

Imagine you are shopping for the latest trendy tech gadget at your favorite department store in a shopping mall. When you go to pay you hand your credit card to the cashier, and then the cashier tells you that your card has been declined, or even cancelled. This is a suspicion of fraud, because, for example, you have never made a purchase of more than $1,500 USD, so the transaction raises suspicions in the bank and the bank rejects the transaction and even blocks your credit card. 

It's a situation that, in theory, saves millions of dollars, and headaches, for your customers. However, when this system is not successful, it creates a bad experience with the consumer, making them feel embarrassed and frustrated, as they are unlikely to complete the purchase successfully. 

Banks and credit card providers must ensure that their systems are accurate, and that fraud detection is correct. That is the purpose of this competition, to improve those credit card fraud detection systems. 

Description of the competition

Imagine you are shopping for the latest trendy tech gadget at your favorite department store in a shopping mall. When you go to pay you hand your credit card to the cashier, and then the cashier tells you that your card has been declined, or even cancelled. This is a suspicion of fraud, because, for example, you have never made a purchase of more than $1,500 USD, so the transaction raises suspicions in the bank and the bank rejects the transaction and even blocks your credit card. 

It's a situation that, in theory, saves millions of dollars, and headaches, for your customers. However, when this system is not successful, it creates a bad experience with the consumer, making them feel embarrassed and frustrated, as they are unlikely to complete the purchase successfully. 

Banks and credit card providers must ensure that their systems are accurate, and that fraud detection is correct. That is the purpose of this competition, to improve those credit card fraud detection systems. 

Timeline

13

Challenge starts

October at 02:49 UTC

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20

Challenge ends (Public leaderboard)

October at 03:00 UTC

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15

Challenge ends (Private leaderboard)

October at 03:00 UTC

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Description of Timeline

This competition has a total duration of 2 days, within which you will be able to make your submissions and obtain results automatically. Once the first part of the competition is over, you will have one week to choose your best model and submit it to be graded and considered for cash or points prizes. 

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