adeputr4/mental-health-gaming-dataset

Mental Health Gaming Behavior Dataset

Synthetic dataset of gaming behavior and mental health indicators used to predict depression_score (0–10) through model chaining.

Tugas 4: Modeling Experiments — Kelompok 3

Dataset Summary

• —Size: 968,287 rows × 39 columns
• —Source: Kaggle (synthetic data)
• —File: gaming_mental_health.csv
• —Target: depression_score (0–10, continuous)

Disclaimer

This is a synthetic dataset generated for educational purposes. It does not represent real individuals and should not be used to draw conclusions about actual mental health conditions.

Key Columns

Use Case

This dataset is used with a Model Chaining architecture:

1. 1.Imputer predicts addiction_level from daily_gaming_hours + competitive_rank
2. 2.Scaled features fed to predictor (Linear Regression / Random Forest)
3. 3.Output: depression_score prediction

Models

Trained models are available at: adeputr4/mental-health-gaming-predictor

Team