NIRF RANK PREDICTOR

About NIRF Ranking and Our Predictor

What is NIRF Ranking?

The National Institutional Ranking Framework (NIRF) is an initiative by the Ministry of Education, Government of India, to rank higher education institutions across the country. It provides a standardized methodology to compare institutions based on objective parameters. The goal is to promote transparency, foster healthy competition, and help students make informed decisions about where to study.

NIRF assesses institutions based on five broad parameters, each with several sub-parameters. These include:

• Teaching, Learning and Resources (TLR): Evaluates faculty strength, qualifications, student-faculty ratio, and infrastructure.
• Research and Professional Practice (RP): Measures research output, quality of publications, IPR, and projects.
• Graduation Outcomes (GO): Assesses student performance in exams, graduation rates, and placement success.
• Outreach and Inclusivity (OI): Looks at regional and women diversity, support for disadvantaged students, and facilities for the disabled.
• Perception (PR): Gathers feedback from academic peers and employers.

How We Predict Ranking using Poisson Regression

Ranking can be viewed as a count – for example, the number of institutions ranked better than a given institution, or simply the rank number itself. Poisson Regression is a statistical technique commonly used to model count data.

Our predictor tool utilizes a Poisson Regression model trained on historical NIRF data (specifically for Engineering, based on the underlying data). This model learns the relationship between the input parameters (TLR, RPC, GO, OI, Perception, and the Overall Score) and the observed rankings.

When you enter the parameter values and click "Predict Ranking", the tool uses the trained model to estimate the expected ranking based on those inputs. The model provides a statistical prediction, indicating a likely rank given the provided scores across the different NIRF parameters.

*Please note: This is a predictive model based on historical data and the Poisson Regression method. Actual NIRF rankings can vary based on the official methodology, data verification, and the performance of all participating institutions in a given year.*