ACT Research Report: Predicting College Success from High School GPA and ACT Scores

Julie Noble's research report analyzes the relationship between high school GPA, ACT composite scores, and subsequent academic success in college. The dataset likely contains tabular data used for predictive modeling in educational outcomes. It is published on the paperswithcode platform, which aggregates resources for machine learning practitioners.

Use Cases

• Build a classifier to predict college GPA tiers from high school metrics (inferred from domain, verify after download)
• Analyze the relative predictive power of standardized test scores versus high school grades (inferred from domain, verify after download)
• Benchmark fairness or bias in academic performance prediction algorithms (inferred from domain, verify after download)

Strengths

• Published on the paperswithcode platform, which aggregates datasets for AI/ML use.
• Authored by a named researcher, Julie Noble, providing a point of reference.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, column details, and file formats are unknown, limiting suitability assessment.
• License is listed as 'closed', which may restrict usage.

Provenance

Source

Julie Noble, via paperswithcode