admission_predict | R Documentation |
Graduate Admissions Prediction Dataset
A dataset for predicting postgraduate admission probability, integrating standardized test scores, academic performance, and application - related metrics.
admission_predict
A data frame with 'n' observations (rows) and 8 variables:
GRE.Score
Graduate Record Examinations (GRE) score. A standardized test for graduate admissions (score range varies by exam version; common scales: 260–340 or old 130–170 per section).
TOEFL.Score
Test of English as a Foreign Language (TOEFL) score. Measures English proficiency (standard range: 0–120).
University.Rating
Target university’s academic rating (1–5 scale). A higher score indicates stronger institutional reputation/resources.
SOP
Statement of Purpose (SOP) rating (1–5 scale). Reflects the quality of the applicant’s research motivation and fit with the program.
LOR
Letter of Recommendation (LOR) rating (1–5 scale). Captures the referee’s evaluation of the applicant’s academic potential.
CGPA
Cumulative Grade Point Average (CGPA). Summarizes undergraduate academic performance (scale depends on institution; e.g., 4.0 or 10.0).
Research
Research experience indicator (0
= no research, 1
= has research). A binary flag for involvement.
Chance.of.Admit
Admission probability (continuous value between 0 and 1). The target variable, with higher values indicating greater admission likelihood.
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