https://github.com/srivathsanp23/ensemblemethod_smartdiseasepredictionsystem

An Ensemble Method to predict the disease
https://github.com/srivathsanp23/ensemblemethod_smartdiseasepredictionsystem

ensemble-model f1-score gridsearchcv logistic-regression machine-learning pickle precision random-forest-classifier recall smote-oversampler streamlit svm-classifier visualisation

Last synced: 3 months ago
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An Ensemble Method to predict the disease

• Host: GitHub
• URL: https://github.com/srivathsanp23/ensemblemethod_smartdiseasepredictionsystem
• Owner: SrivathsanP23
• License: mit
• Created: 2024-07-01T17:58:27.000Z (12 months ago)
• Default Branch: main
• Last Pushed: 2024-09-27T12:39:30.000Z (9 months ago)
• Last Synced: 2025-01-28T23:30:05.589Z (5 months ago)
• Topics: ensemble-model, f1-score, gridsearchcv, logistic-regression, machine-learning, pickle, precision, random-forest-classifier, recall, smote-oversampler, streamlit, svm-classifier, visualisation
• Language: Jupyter Notebook
• Homepage: https://smartdiseasepredictionsystem.streamlit.app/
• Size: 748 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
Requirements:

pip install -r requirements.txt



 

How to Run

streamlit run app.py


Samples


![image](https://github.com/user-attachments/assets/f308e2df-a911-48ef-b15a-9a38e89f2323)

![image](https://github.com/user-attachments/assets/4d56245b-f64c-40db-89f6-863f22d2e1e4)

![image](https://github.com/user-attachments/assets/eea2d9bf-34a1-4ca4-b9c8-faa4045ffe75)

![image](https://github.com/user-attachments/assets/e5515d9a-bfa9-4a30-a3a2-103b2ebf6992)