Classification Model Prediction App

Welcome to the Classification Model Prediction App, a simple and interactive web application built with Streamlit. This app allows users to input feature values and receive predictions from a pre-trained classification model.

🚀 Features

• User-Friendly Interface: Enter input values easily through the web UI.
• Instant Predictions: Get real-time predictions using the saved classification model.
• Error Handling: Provides clear messages if the model file is missing.

🛠️ Installation & Usage

1️⃣ Install Dependencies

Ensure you have Python installed, then install the required packages:

pip install streamlit numpy pickle5

2️⃣ Run the App

To launch the Streamlit app, use the following command:

streamlit run app.py

3️⃣ Input Features & Predict

• Enter values for each feature.
• Click the Predict button to get the model's classification.

📂 Model File

Make sure the classifier.pkl file (your trained classification model) is available in the project directory. If the file is missing, train and save a model first.

▶️ Try it now!

🔗 Try it here: Sleep Disorder Classification App

📜 License

This project is licensed under the MIT License - feel free to modify and use it!