Mushroom Classification

📝Description

This project aims to determine if a certain mushroom is edible or poisonous by its specifications like cap shape, cap color, gill color, etc. using different classifiers

🚀Libraries used:

• pandas
• numpy
• seaborn
• matplotlib
• pickle
• sci-kit learn

🎯Models used:

• Decision Tree Classifier
• Logistic Regression Classifier
• k-Nearest Neighbor Classifier
• Support Vector Machine Classifier
• Naive Bayes Classifier
• Random Forest Classifier

📜Dataset:

mushrooms.csv

💡Steps to run the project

• open the app.py file
• run the python file
• local host link will be generated
• click on the link
• in the input page give the input values
• click the predict button
• the predicted output will be shown in the output page
• (Or)
• you can run the python file in virtual environment
• for that first create virtual environment using the command "python -m venv venv"
• then activate the virtual environment using the command "venv\Scripts\activate"
• now install the required libraries in the virtual environment
• Now run the python file

📷Output screenshots:

Output page if the mushroom is edible

Output page if the mushroom is poisonous

🎓Authors

• @Arun sreeram R

• @Chandru M

• @Prathiban V

• @Lokesh R