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📱 Phone Addiction Level Prediction (ML Project)

📌 Problem Statement

This project predicts the level of phone addiction (numeric score) based on user behavior and screen-time features.

🛠 Tech Stack

  • Python
  • Pandas
  • NumPy
  • Scikit-learn
  • XGBoost
  • Matplotlib

🤖 Model Used

  • XGBoost Regressor

📊 Evaluation Metrics

  • Mean Absolute Error (MAE)
  • Mean Squared Error (MSE)
  • R² Score

📈 Features Used

  • Daily screen time
  • Social media usage
  • Sleep hours
  • Notifications count
  • App usage behavior

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Machine Learning model to predict phone addiction based on behavioral and usage features.

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