Tree Health Classification

This project implements a Decision Tree Classifier to predict the health status of trees based on various features. The model is trained using a dataset that includes information about different aspects of trees, allowing for a classification into three health categories: Good, Fair, and Poor.

Table of Contents

• Installation Python and pop
• Usage
• Dataset Attached with the project
• Model Evaluation
• Dependencies Open data URL - https://data.cityofnewyork.us/Environment/2015-Street-Tree-Census-Tree-Data/uvpi-gqnh/about_data
• License

Installation

1. Clone the repository:

   git clone https://github.com/Arya25/Tree-Health.git
   
   

• Run

  python3 Main.py