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University Admission Linear Regression Data
Education & Learning Analytics
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About
Jamboree has assisted thousands of students in securing admissions to top international colleges through unique problem-solving methods for exams such as GMAT, GRE, and SAT. This dataset supports a newly launched feature designed to estimate the probability of graduate admission from an Indian perspective, specifically targeting IVY league institutions. It facilitates the analysis of critical admission criteria, enabling learners to assess their chances based on academic and standardized testing profiles.
Columns
- Serial No.: Unique identifier for each applicant record.
- GRE Score: Score obtained in the Graduate Record Examination (continuous).
- TOEFL Score: Score obtained in the Test of English as a Foreign Language (continuous).
- University Rating: Rating of the target university on a scale of 1 to 5.
- SOP: Strength of the Statement of Purpose on a scale of 1 to 5.
- LOR: Strength of the Letter of Recommendation on a scale of 1 to 5.
- CGPA: Undergraduate Cumulative Grade Point Average on a scale of 10.
- Research: Binary indicator of research experience (0 for none, 1 for present).
- Chance of Admit: Estimated probability of admission ranging from 0.34 to 0.97.
Distribution
The dataset is structured as a CSV file containing 500 valid records and 9 columns. It includes continuous variables for test scores and GPA, ordinal variables for ratings, and a binary variable for research experience. The data exhibits a 100% valid rate with no missing or mismatched values across all fields.
Usage
- Predictive Modelling: Developing Linear Regression or Logistic Regression models to predict admission probabilities.
- Exploratory Data Analysis (EDA): Analysing the correlation between GRE/TOEFL scores and university ratings.
- Education Consultancy: Assisting students in understanding the metrics required for top-tier university admissions.
- Data Visualisation: Creating visual representations of admission trends and score distributions.
Coverage
The data represents the Indian perspective on graduate admissions. It covers applicants with varying GRE scores (290-340), TOEFL scores (92-120), and CGPAs (6.8-9.92). The dataset update frequency is listed as "Never", implying a static historical snapshot.
License
Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Who Can Use It
- Data Science Students: For practising regression analysis and data cleaning techniques.
- Educational Institutions: To benchmark student profiles against admission probabilities.
- Applicants: To gauge personal chances of admission based on their credentials.
Dataset Name Suggestions
- Jamboree Graduate Admission Probability Data
- Ivy League Admission Predictor Dataset
- Indian Student Graduate Admission Metrics
- University Admission Linear Regression Data
Attributes
Original Data Source: University Admission Linear Regression Data
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