https://github.com/jesly-joji/money-laundering-classification

Money Laundering Classification on IBM Transactions
https://github.com/jesly-joji/money-laundering-classification

binary-classificaiton eda

Last synced: about 2 months ago
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Money Laundering Classification on IBM Transactions

• Host: GitHub
• URL: https://github.com/jesly-joji/money-laundering-classification
• Owner: Jesly-Joji
• Created: 2024-10-31T13:38:45.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2024-11-08T07:41:57.000Z (about 2 months ago)
• Last Synced: 2024-11-08T08:32:16.373Z (about 2 months ago)
• Topics: binary-classificaiton, eda
• Language: Jupyter Notebook
• Homepage:
• Size: 312 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Money-Laundering-Classification

DATASET:


EDA https://www.kaggle.com/code/jeslyjoji/eda-money-laundering-check-on-ibm-transactions 


CODE


Models trained on imbalanced datasets tend to focus on predicting the majority class well, often neglecting the minority class. It becomes biased

The Dataset is not balanced hence needs to be handled.

Used Undersampling technique as the dataset is huge


BEFORE Undersampling



    

    



F1-Score 10%

AFTER Undersampling 





    

    



F1-Score- 89%