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Fraudulent transaction detection based on several attributes of the proceeding.

Home Page: http://fraud-env.eba-qv2phvi7.us-east-2.elasticbeanstalk.com/

License: MIT License

Python 98.29% CSS 1.50% Procfile 0.21%
machine-learning xgboost fraud-detection python logistic-regression

fraud_detection_v2.00's Introduction

Open In Colab

Fraudulent Transaction Detector

This app detects fraudulent transactions based on a fitted Xtreme Gradient Boosting model (that takes logistic regression as the core model). The data is pulled from an IBM DB2 remote database. Click on the 'Open in Colab' badge to access the model building process.

Disclaimer

  1. The model is fitted with a synthesized data, thus should only be used for educational purpose.
  2. The outcome variable is highly imbalanced, thus model evaluation is extremely critical here.

fraud_detection_v2.00's People

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