🌳 Decision Tree Classification Demo

A hands-on demo of Decision Tree classification with pre-pruning and post-pruning techniques to prevent overfitting and boost model reliability.

🚀 Features

• Pre-Pruning (Early Stopping) ✅
• Post-Pruning (Cost Complexity Pruning) ✂️
• Hyperparameter tuning with GridSearchCV ⚙️
• Performance evaluation with Accuracy Score & Classification Report 📊

💻 Installation

1. Clone the repository:

   https://github.com/Sidra-009/decision-tree-classification.git
   

⚖️ Key Takeaway

Pruning keeps models efficient, reliable & generalizable across datasets.