A dataset for predicting dropout risk, published on Kaggle. The specific number of records, features, and temporal coverage are unknown. The author and organization are not specified.
Use Cases
- Train a binary classifier to predict student dropout (inferred from domain, verify after download)
- Analyze factors correlated with course completion (inferred from domain, verify after download)
- Build an early warning system for at-risk students (inferred from domain, verify after download)
Strengths
- Published on Kaggle, a major platform for open data sharing.
- Explicitly intended for predicting dropout risk.
Limitations
- Metadata is minimal; actual content requires verification after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.