https://github.com/fatimaafzaal/eartquake_magnitude_prediction

https://github.com/fatimaafzaal/eartquake_magnitude_prediction

catboost decision-tree earthquake-prediction knn linear-regression preprocessing visualization

Last synced: 1 day ago
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• Host: GitHub
• URL: https://github.com/fatimaafzaal/eartquake_magnitude_prediction
• Owner: fatimaAfzaal
• Created: 2024-05-31T17:45:15.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-06-13T14:07:28.000Z (5 months ago)
• Last Synced: 2024-06-13T17:01:46.294Z (5 months ago)
• Topics: catboost, decision-tree, earthquake-prediction, knn, linear-regression, preprocessing, visualization
• Language: Jupyter Notebook
• Homepage:
• Size: 1.24 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Eartquake_Magnitude_Prediction

This repository contains a Flask web application that uses a CatBoost regression model to predict earthquake magnitudes. The model is trained using a dataset containing various features related to earthquakes. This project demonstrates the process of loading data, preprocessing it, training a machine learning model, and deploying the model as a web service using Flask.

## Features

- **Data Preprocessing:** Load and clean the dataset, handle missing values, and prepare categorical features.

- **Model Training:** Train a CatBoost regression model using k-fold cross-validation for robust performance evaluation.

- **Model Evaluation:** Evaluate the model using metrics such as Mean Squared Error (MSE), R-squared (R²), and Mean Absolute Error (MAE).

- **Web Interface:** Provide a user-friendly web interface to input features and get earthquake magnitude predictions.

- **Model Persistence:** Save and load the trained model using pickle for easy reuse.

## File Descriptions

- `app.py`: The main Flask application file containing routes and model handling code.

- `dataset.csv`: The dataset file (not included, needs to be added by the user).

- `catboost_model.pkl`: The serialized CatBoost model file (generated after training).

- `templates/index.html`: The HTML template for the web interface.

- `requirements.txt`: The list of Python dependencies required to run the application.

## Dependencies

- Flask

- numpy

- pandas

- scikit-learn

- catboost

- pickle

## Output

![image](https://github.com/fatimaAfzaal/Eartquake_Magnitude_Prediction/assets/99525339/25cf5fbd-f705-4700-bb69-77fbc41d328f)

Feel free to contribute, provide feedback, or report issues related to this project.