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.
- 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
- Clone the repository:
git clone https://github.com/Arya25/Tree-Health.git
- Run
python3 Main.py