https://github.com/reshmaaiman/liver-patient-prediction

Liver Disease Prediction
https://github.com/reshmaaiman/liver-patient-prediction

data data-science data-visualization dataanalysis jupyter-notebook numpy pandas python seaborn

Last synced: 12 days ago
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Liver Disease Prediction

• Host: GitHub
• URL: https://github.com/reshmaaiman/liver-patient-prediction
• Owner: ReshmaAiman
• Created: 2025-02-04T15:55:57.000Z (16 days ago)
• Default Branch: main
• Last Pushed: 2025-02-04T16:10:51.000Z (16 days ago)
• Last Synced: 2025-02-04T17:23:49.464Z (16 days ago)
• Topics: data, data-science, data-visualization, dataanalysis, jupyter-notebook, numpy, pandas, python, seaborn
• Language: Jupyter Notebook
• Homepage:
• Size: 1.35 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Liver-Patient-Prediction

### Creating a predictive model with implementation of different classifier on Liver Patient dataset to predict the liver diseases.

### For EDA performed the Univariate, Bivariate and Multivariate analysis.

### After preprocessing, confirmed that there is no high correlation between each columns.

### After noticed that the data is imbalanced, tried with oversampling and tried checking with different models to get the best model.

### Random Forest - training accuracy -> 100% and testing accuracy -> 82%

### Decision Tree - training accuracy -> 95% and testing accuracy -> 77%

### SVM - training accuracy -> 100% and testing accuracy -> 92%

### Logistic Regression - training accuracy -> 71% and testing accuracy -> 75%

### We notice that SVM gives the best results.