https://github.com/mathewyang/Wisconsin-Breast-Cancer

Classifying Breast Cancer Tumors
https://github.com/mathewyang/Wisconsin-Breast-Cancer

breast-cancer-prediction breast-cancer-wisconsin logisitic-regression svm svm-classifier

Last synced: about 2 months ago
JSON representation

Classifying Breast Cancer Tumors

• Host: GitHub
• URL: https://github.com/mathewyang/Wisconsin-Breast-Cancer
• Owner: mathewyang
• Created: 2017-12-11T16:55:28.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2018-01-11T05:42:54.000Z (about 7 years ago)
• Last Synced: 2024-08-04T10:01:25.840Z (5 months ago)
• Topics: breast-cancer-prediction, breast-cancer-wisconsin, logisitic-regression, svm, svm-classifier
• Language: HTML
• Homepage:
• Size: 2.29 MB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Support: SupportVectorClassification.R

Awesome Lists containing this project

• awesome-ai-cancer - mathewyang/Wisconsin-Breast-Cancer - Classifying benign and malignant breast tumor cells (Code / Repositories)

README

        
# Wisconsin-Breast-Cancer

Classifying benign and malignant breast tumor cells.

This is a project using the Wisconsin Breast Cancer (Diagnostic) dataset from the UCI Machine Learning Repository.

link: https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic) 

I will compare different machine learning models (Logistic Regression, Support Vector Machines) to see what would provide the best classification results in differentiating malignant tumors from benign tumors. 

TO DO: 

Cross Validation

ROC Curves

Matthews Correlation Comparison

Exploratory Data Analysis Step