admission_predict: Graduate Admissions Prediction Dataset A dataset for...

In TFM: Sparse Online Principal Component for Truncated Factor Model

Graduate Admissions Prediction Dataset A dataset for predicting postgraduate admission probability, integrating standardized test scores, academic performance, and application - related metrics.

Description

Graduate Admissions Prediction Dataset

A dataset for predicting postgraduate admission probability, integrating standardized test scores, academic performance, and application - related metrics.

Usage

admission_predict

Format

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.

TFM documentation built on June 9, 2025, 9:08 a.m.