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Earthquake Prediction Models

This repository contains multiple machine learning models for earthquake prediction, including XGBoost, LightGBM, and ensemble models.

πŸ“ Files Overview

Main Models

  • lgbxgbm_model.pkl - Primary ensemble model (37.4 MB)
  • xgb_model.joblib - XGBoost model
  • lgb_model.joblib - LightGBM model (5.36 MB)
  • vgb_model.joblib - Additional model (8.97 MB)

Preprocessing Tools

  • scaler.joblib - Feature scaler
  • label_encoder.joblib - Label encoder
  • num_imputer.joblib - Missing value imputer
  • target_encoder.joblib - Target encoder

Support Files

  • features.joblib - Feature list
  • num_cols.joblib, ohe_cols.joblib, tc_cols.joblib - Column definitions

Code Files

  • prediction.py - Prediction script (2.99 MB)
  • app.py - Web application (2.67 MB)
  • requirements.txt - Python dependencies

πŸš€ Quick Start

# Clone repository
git clone https://huggingface.co/jshu824/earthquake-predict-xgboost
cd earthquake-predict-xgboost

# Install dependencies
pip install -r requirements.txt

# Run prediction
python prediction.py
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