https://github.com/ammahmoudi/decision-tree-implementation

Implementing Decision Tree Classifer from scrath and then train it on breast cancer dataset from the University of Wisconsin Hospitals
https://github.com/ammahmoudi/decision-tree-implementation

breast-cancer-wisconsin decision-tree-algorithms decision-trees machine-learning ml

Last synced: 7 months ago
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Implementing Decision Tree Classifer from scrath and then train it on breast cancer dataset from the University of Wisconsin Hospitals

• Host: GitHub
• URL: https://github.com/ammahmoudi/decision-tree-implementation
• Owner: ammahmoudi
• Created: 2023-10-29T20:38:20.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-10-29T20:57:35.000Z (almost 2 years ago)
• Last Synced: 2025-01-15T07:31:25.837Z (9 months ago)
• Topics: breast-cancer-wisconsin, decision-tree-algorithms, decision-trees, machine-learning, ml
• Language: Jupyter Notebook
• Homepage:
• Size: 77.1 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Decision-Tree-Implementation

Implementing Decision Tree Classifer from scrath and then train it on breast cancer dataset from the University of Wisconsin Hospitals.

![tree](/concept.jpg)

## Data Documentation

Worldwide, breast cancer is the most common type of cancer in women and the second highest in terms of mortality rates.Diagnosis of breast cancer is performed when an abnormal lump is found (from self-examination or x-ray) or a tiny speck of calcium is seen (on an x-ray). After a suspicious lump is found, the doctor will conduct a diagnosis to determine whether it is cancerous and, if so, whether it has spread to other parts of the body.

This breast cancer dataset was obtained from the University of Wisconsin Hospitals, Madison from Dr. William H. Wolberg.

For more information please read the [data documentation](https://www.kaggle.com/datasets/merishnasuwal/breast-cancer-prediction-dataset).