This dataset is created for prediction of Graduate Admissions from an Indian perspective.
The dataset contains several parameters which are considered important during the application for Masters Programs.
The parameters included are :
GRE Scores ( out of 340 )
TOEFL Scores ( out of 120 )
University Rating ( out of 5 )
Statement of Purpose and Letter of Recommendation Strength ( out of 5 )
Undergraduate GPA ( out of 10 )
Research Experience ( either 0 or 1 )
Chance of Admit ( ranging from 0 to 1 )
This dataset is inspired by the UCLA Graduate Dataset. The test scores and GPA are in the older format.
The dataset is owned by Mohan S Acharya.
Please cite the following if you are interested in using the dataset :
Mohan S Acharya, Asfia Armaan, Aneeta S Antony : A Comparison of Regression Models for Prediction of Graduate Admissions, IEEE International Conference on Computational Intelligence in Data Science 2019
I would like to thank all of you for contributing to this dataset through discussions and questions. I am in awe of the number of kernels built on this dataset. Some results and visualisations are fantastic and makes me a proud owner of the dataset. Keep em' coming! Thank You.
Use the following R code to directly access this dataset in R.