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https://github.com/xiaowuc2/breast-cancer-prediction-a-machine-learning-approach
This proposed projec presents a comparison of six machine learning algorithms: XGBoost Classifier, Random Forest, KNN Classifier, Logistic Regression, SVM Classification, Decision Tree. Our research led to 94.96% accuracy.
https://github.com/xiaowuc2/breast-cancer-prediction-a-machine-learning-approach
breast-cancer-prediction classification-algorithm machine-learning
Last synced: about 1 month ago
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This proposed projec presents a comparison of six machine learning algorithms: XGBoost Classifier, Random Forest, KNN Classifier, Logistic Regression, SVM Classification, Decision Tree. Our research led to 94.96% accuracy.
- Host: GitHub
- URL: https://github.com/xiaowuc2/breast-cancer-prediction-a-machine-learning-approach
- Owner: xiaowuc2
- License: apache-2.0
- Created: 2021-10-24T17:49:37.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2021-11-27T09:06:25.000Z (about 3 years ago)
- Last Synced: 2023-03-05T14:09:05.465Z (almost 2 years ago)
- Topics: breast-cancer-prediction, classification-algorithm, machine-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 4.36 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 1