Student Campus Recruitment Data with Academic and Work Experience Features

Placement data from a campus includes student academic performance and salary offers. The data likely contains secondary, higher secondary, and degree specializations, as well as work experience. It is hosted on OpenML under an Open Database license.

Use Cases

• Predicting student job placement based on academic performance and specialization.
• Analyzing the impact of work experience on salary offers for placed students.
• Identifying key academic factors for recruitment success using historical placement records.

Strengths

• Includes multiple academic performance metrics, such as secondary and higher secondary school percentages.
• Contains both student background features (specialization, work experience) and an outcome variable (salary offer).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

OpenML

Collection Method

Likely collected from a campus placement process.