To Study the Use of Machine Learning Algorithms for Employability Predictions of Undergraduate Students

Seema Sachin Patil; Prashant P Patil

doi:10.36948/ijfmr.2026.v08i02.74399

To Study the Use of Machine Learning Algorithms for Employability Predictions of Undergraduate Students

Author(s)	Ms. Seema Sachin Patil, Dr. Prashant P Patil
Country	India
Abstract	Predictions is a speculation about something which may happen in future. Predictions is not based on previous data, experience or knowledge but it is important to make right decisions for future. In order to get advantage of predictions and to automate the prediction process, machines are trained to make predictions and such field comes under machine learning. Various fields such as crime prediction, natural calamities, health care and weather forecasting are some of the applications of prediction. In Higher education institutions, Training and Placement officers who work as a human expertise to identify a skilled undergraduate for employment based on various factors. The researchers have applied various regression and classification machine Learning algorithm to calculate Employability score and make predictions about the employability of a BCA undergraduate Students of Mahila Mahavidyalaya, Satara. The objective of paper is to calculate employability score (numeric value) and predict employability (categorical value). This paper presents the use of various machine Learning algorithm and compares their performance to predict the employability of BCA undergraduates. A dataset of undergraduates was tested and results were discussed.
Keywords	Employability Prediction, Linear Regression, Multiple linear regression, Logistic Regression, Decision tree
Field	Computer Applications
Published In	Volume 8, Issue 2, March-April 2026
Published On	2026-04-16
DOI	https://doi.org/10.36948/ijfmr.2026.v08i02.74399

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To Study the Use of Machine Learning Algorithms for Employability Predictions of Undergraduate Students

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