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https://github.com/amhsirak/breast-cancer-detection
Breast Cancer Detection using various machine learning algorithms
https://github.com/amhsirak/breast-cancer-detection
breast-cancer-prediction jupyter-notebook machine-learning python xgboost
Last synced: about 1 month ago
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Breast Cancer Detection using various machine learning algorithms
- Host: GitHub
- URL: https://github.com/amhsirak/breast-cancer-detection
- Owner: amhsirak
- Created: 2022-02-10T01:07:32.000Z (almost 3 years ago)
- Default Branch: master
- Last Pushed: 2022-04-29T16:25:50.000Z (over 2 years ago)
- Last Synced: 2024-04-08T04:39:32.229Z (9 months ago)
- Topics: breast-cancer-prediction, jupyter-notebook, machine-learning, python, xgboost
- Language: Jupyter Notebook
- Homepage:
- Size: 1.59 MB
- Stars: 3
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Breast Cancer Detection
Dataset: https://www.kaggle.com/datasets/uciml/breast-cancer-wisconsin-data
## Algorithms
1. K-Nearest Neighbor (KNN)
2. Random Forest (RF)
3. Logistic Regression (LR)
4. XG Boost## Results
### 1. K-Nearest Neighbor (KNN)
### Classification Report
### Confusion Matrix
![knn](https://user-images.githubusercontent.com/76456498/165811486-a957d13c-cd9f-4378-870d-e1a9db6f4783.png)### Accuracy: 95.2% at 5th epoch
### 2. Random Forest (RF)
### Classification Report
### Confusion Matrix
![rf](https://user-images.githubusercontent.com/76456498/165811733-700dc651-f6f3-446c-adaa-69dd0016cc46.png)### Accuracy: 97.3%
### 3. Logistic Regression (LR)
### Classification Report
### Confusion Matrix
![lr](https://user-images.githubusercontent.com/76456498/165811755-c3d85e7b-0b50-4e51-82af-632a79bc9043.png)### Accuracy: 97.3%
### 4. XG Boost
### Classification Report
### Confusion Matrix
![xgb](https://user-images.githubusercontent.com/76456498/165811775-de2f171e-825e-433f-af00-b8109fd1161f.png)
### Accuracy: 98.2%
XG Boost performs the best! 🎉🎉🎉