Adult Income Classification Project

Model Accuracy Comparison

• Logistic Regression: 0.8570
• Decision Tree: 0.8191
• KNN: 0.8386
• SVC: 0.8556

Best Model

• Logistic Regression: 0.8570

Project Explanation

This project uses classification pipelines with preprocessing and compares Logistic Regression, Decision Tree, SVC, and KNN. The best model is saved as model.pkl, exposed via FastAPI, and integrated into Streamlit frontend.