LHUThacSi/synthetic_dropout_dataset_vietnam_100k_final_lhu

Student Dropout Prediction Dataset (Lac Hong University - Synthetic)

This dataset is a synthetically generated dataset representing student academic and behavioral data at Lac Hong University. It is intended for machine learning tasks that predict student dropout risks.

📊 Features

• StudentID: Unique student identifier (format: 1YYxxxxxx)
• LUC: Lack of University Commitment (Likert 1–5)
• DCC: Degree Commitment Conflict (Likert 1–5)
• ITM: Ineffective Time Management (Likert 1–5)
• CD: Curriculum Design dissatisfaction (Likert 1–5)
• IALE: Inability to Adapt to Learning Environment (Likert 1–5)
• LCP: Low Class Participation (Likert 1–5)
• PC: Personal Circumstances (Likert 1–5)
• SDI: Student Dropout Intention (score 1–5)
• Dropout: Target label (1 = high dropout risk, 0 = low risk)
• GPA_10: GPA on a 10-point scale
• Year: Current academic year (1 to 4)
• RepeatCount: Number of failed courses
• DebtCredits: Total credits currently failed
• Major: Student's field of study
• TotalCredits: Total credits required for the major

📁 Dataset Summary

• Samples: 100,000
• File Format: CSV
• License: MIT
• Use Case: Tabular classification - dropout risk prediction

🧪 Example Use Cases

• Train classification models to predict dropout
• Analyze correlation between GPA, failed credits, and dropout risk
• Use in academic dashboards or student early-warning systems

🛡 Disclaimer

This dataset is synthetically generated for academic and research purposes. It does not contain any real or personally identifiable student data.