https://github.com/moindalvs/assignment_decision_tree_2
https://github.com/moindalvs/assignment_decision_tree_2
adasyn-sampling data-science decision-trees imbalanced-data smote-oversampler smoteenn smotetomek
Last synced: 8 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/moindalvs/assignment_decision_tree_2
- Owner: MoinDalvs
- Created: 2022-05-31T16:47:58.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2022-05-31T16:56:19.000Z (about 4 years ago)
- Last Synced: 2025-09-07T17:49:16.938Z (9 months ago)
- Topics: adasyn-sampling, data-science, decision-trees, imbalanced-data, smote-oversampler, smoteenn, smotetomek
- Language: Jupyter Notebook
- Homepage:
- Size: 11.5 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 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