Internship Selection Prediction Simulating Skills and Behavior

Simulated data modeling how candidate skills, projects, and behavior affect internship selection outcomes. The dataset originates from Kaggle, but its author, size, and creation date are unknown. Its structure and specific variables must be inferred from the description.

Use Cases

• Predict internship selection outcomes based on simulated skill profiles.
• Analyze the relative impact of behavioral factors on hiring decisions.
• Train classification models to rank candidate attributes for internship roles.
• Benchmark fairness or bias in simulated hiring scenarios.

Strengths

• Focuses on a specific, practical prediction task for career development.
• Description explicitly mentions skills, projects, and behavior as modeled factors.

Limitations

• Row count and file size are unknown, limiting suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle

Collection Method

Simulated data, as stated in the description.

Time Range

null

Freshness

Last updated date is unknown.

Geography

null