https://github.com/moindalvs/assignment_random_forest_1

Use Random Forest to prepare a model on fraud data treating those who have taxable income <= 30000 as "Risky" and others are "Good"
https://github.com/moindalvs/assignment_random_forest_1

bagging-ensemble bagging-trees data-science hyperparameter-tuning random-forest-classifier

Last synced: 4 months ago
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Use Random Forest to prepare a model on fraud data treating those who have taxable income <= 30000 as "Risky" and others are "Good"

• Host: GitHub
• URL: https://github.com/moindalvs/assignment_random_forest_1
• Owner: MoinDalvs
• Created: 2022-06-05T09:19:47.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2022-06-05T09:24:15.000Z (almost 4 years ago)
• Last Synced: 2025-03-22T20:46:21.502Z (about 1 year ago)
• Topics: bagging-ensemble, bagging-trees, data-science, hyperparameter-tuning, random-forest-classifier
• Language: Jupyter Notebook
• Homepage:
• Size: 5.11 MB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
## **Problem Statement** 

# Use Random Forest to prepare a model on fraud data  

## treating those who have taxable_income <= 30000 as "Risky" and others are "Good"