https://github.com/gandhasiri-rahul-mohan/decision-tree-q2-fraud_data

Use decision trees to prepare a model on fraud data treating those who have taxable_income <= 30000 as "Risky" and others are "Good"
https://github.com/gandhasiri-rahul-mohan/decision-tree-q2-fraud_data

data-science decision-trees machine-learning python

Last synced: 2 days ago
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Use decision trees 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/gandhasiri-rahul-mohan/decision-tree-q2-fraud_data
• Owner: Gandhasiri-Rahul-Mohan
• Created: 2023-01-06T15:43:07.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-01-06T15:44:43.000Z (almost 2 years ago)
• Last Synced: 2023-08-16T19:50:54.862Z (over 1 year ago)
• Topics: data-science, decision-trees, machine-learning, python
• Language: Python
• Homepage:
• Size: 9.77 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Decision-Tree-Q2-Fraud_Data

Use decision trees to prepare a model on fraud data  treating those who have taxable_income <= 30000 as "Risky" and others are "Good"

Data Description :

Undergrad : person is under graduated or not

Marital.Status : marital status of a person

Taxable.Income : Taxable income is the amount of how much tax an individual owes to the government 

Work Experience : Work experience of an individual person

Urban : Whether that person belongs to urban area or not