Mushrooms Classifications Dataset

This dataset contains detailed physical characteristics of mushrooms, designed to classify them as edible or poisonous.
With 8,124 observations and 23 categorical features, it is ideal for exploring classification algorithms and feature importance in machine learning.

🔑 Key Highlights of the Dataset

Binary Classification Target
class:
e → Edible
p → Poisonous
Rich Categorical Features
Includes cap shape, color, odor, gill structure, stalk properties, ring type, habitat, and population.
Clean & Well-Structured Data
No missing values
Fully categorical → perfect for encoding techniques (Label / One-Hot)
Machine Learning Friendly
Suitable for:
Logistic Regression
Decision Trees
Random Forest
Naive Bayes
Educational & Practical Use
Commonly used to:
Practice feature encoding
Compare classification models
Analyze feature importance and decision boundaries