About the challenge

Dataset Characteristics
  • Year: Transactions from 2016 to 2018
  • Total size: 210,000 transactions
  • Additional challenge: Clients who committed fraud in the training set are different from those in the evaluation set
Files for Participants
  • transactions_train.csv: Transactions for training.
  • train_fraud_labels.json: Labels for the training transactions.
  • cards_data.csv: Payment card information.
  • users_data.csv: User information.
  • mcc_codes.json: MCC codes and descriptions.

 

  • evaluation_features.csv: Transactions for evaluation (without labels). (Note: This file is only to be used for model evaluation; it should not be used for training.)
Submission Format

Participants must submit a CSV file containing the following columns:

  • transaction_id: Transaction identifier (as in evaluation_features.csv)
  • fraud_prediction: Binary prediction (1 for fraud, 0 for non-fraud)
Important Note

This dataset presents a realistic challenge in bank fraud detection where models must generalize to new clients. Participants will need to develop algorithms capable of detecting fraud for clients never seen during training.

 

Link to Datas : https://ibm.box.com/s/cwaievqhezs5bs7zn3kzn1zbj54u5xkj

 

 

 

## Getting Started

### Prerequisites

- **Bob IDE**installed on your laptop ([Download here](https://www.ibm.com/products/bob))

- Basic familiarity with your operating system's terminal/command line

- Git installed for cloning the repository

 

Requirements

 

What to Submit

Submit your source code in a compressed file format (zip).
Ensure that your code is well-documented, including clear instructions on how to run and test your model.

Submission Fomat : 

  1. CSV file with transcation ID , prediction 
  2. Markdown explaining your approach 

 

Evaluation Metrics  
Projects will be evaluated based on:
  1. Quality of the provided application .
  2. Performance metrics: Confusion matrix, Accuracy, Precision, Recall, and F1-Score based on the submission CSV file.
  3. Presentation quality: For finalists only.

leaderborad : https://ibm.box.com/s/rnjzxiuh0bmekhm86m5bv71k494uricr

Hackathon Sponsors

Prizes

1 non-cash prize
IBM power
1 winner

congratulations you got my full respect

Devpost Achievements

Submitting to this hackathon could earn you:

Judges

mehdi bolaymen

mehdi bolaymen
IBM

Judging Criteria

  • performance

Questions? Email the hackathon manager

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