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Mushroom Classification Project

This project is a web application for binary classification of mushrooms as edible or poisonous using machine learning algorithms. The app is built using Streamlit and includes three different classifiers: Support Vector Machine (SVM), Logistic Regression, and Random Forest.

Usage

streamlit run app.py

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