🍄 Mushroom Classification

This project applies multiple machine learning algorithms to classify mushrooms as edible or poisonous based on their features. The dataset contains categorical variables, which are preprocessed using LabelEncoder encoding.

📁 Dataset

• Mushrooms Classification Dataset by UCI Machine Learning Repository
• License: CC0 (Public Domain)

📌 Features

• 22 categorical features (e.g., cap shape, odor, habitat)
• Target: class — edible (e) or poisonous (p)

⚙️ Algorithms

• KNN
• Decision Tree
• Random Forest
• SVM
• Logistic Regression

📊 Evaluation Metric

• F1-Score

📄 License

This project is licensed under the MIT License — see the LICENSE file for details.