Car Safety Prediction System using Decision Tree

This project predicts the safety category of a car based on multiple vehicle attributes using a Decision Tree classifier.

• Buying price
• Maintenance cost
• Number of doors
• Passenger capacity
• Luggage boot size
• Safety rating

• Decision Tree Classifier
• Criterion: Gini Index & Entropy

• Accuracy Score
• Confusion Matrix
• Feature Importance

data/ – dataset
notebooks/ – experiments
src/ – ML pipeline
results/ – model outputs

UCI Machine Learning Repository – Car Evaluation Dataset

1. Install dependencies: pip install -r requirements.txt
2. Run the notebook or train.py script

Packiaraj R