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mushroom-classification-clean

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YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

with open("README.md", "w") as f: f.write("""--- license: mit task_categories: - tabular-classification language: - en

🍄 Mushroom Classification Dataset (Cleaned & ML Ready)

📌 Overview

This dataset is a cleaned and machine-learning-ready version of the popular mushroom classification dataset.
It is designed for classification tasks such as predicting whether a mushroom is edible or poisonous.

📊 Dataset Features

  • ✔ Fully cleaned dataset
  • ✔ No missing values handled
  • ✔ Label encoded categorical features
  • ✔ Structured for ML models
  • ✔ Ready for training and testing

📁 Dataset Structure

  • train.csv → Training data
  • test.csv → Testing data

Each row represents characteristics of a mushroom sample.

🎯 Target Variable

  • label
    • 0 → Edible
    • 1 → Poisonous

🧠 Use Cases

  • Machine Learning Classification
  • Data Preprocessing Practice
  • Feature Engineering
  • Model Evaluation

⚙️ How to Use 

import pandas as pd

train = pd.read_csv("train.csv")
test = pd.read_csv("test.csv")
Downloads last month
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Size of downloaded dataset files:
374 kB
Size of the auto-converted Parquet files:
103 kB
Number of rows:
8,124