Leaf Classification – IFT712 Project

Team Members

• Hadi Rahimi CIP : Hadr2302
• Sara Akhavan nasab CIP :akhs2502

Description

This project compares multiple machine learning classifiers on the Kaggle Leaf Classification dataset using Python and scikit-learn.

Models implemented

• Logistic Regression
• KNN
• Random Forest
• SVM
• Gaussian Naive Bayes
• Gradient Boosting

Installation

pip install -r requirements.txt