Prediction probability of getting an admission into a university using machine learning

A Sivasangari, V Shivani, Y Bindhu… - 2021 5th …, 2021 - ieeexplore.ieee.org
In the present conditions, students regularly have difficulty finding a fitting institution to
pursue higher studies based on their profile. There are some advisory administrations and …

Machine learning algorithms for predicting the graduation admission

K Mridha, S Jha, B Shah, P Damodharan… - … Conference on Electrical …, 2022 - Springer
With the rise in the number of graduates wishing to continue their education, it has become
more difficult for students to gain admission to their desired university. Typically, newly …

Improving student enrollment prediction using ensemble classifiers

SK Wanjau, GM Muketha - 2018 - repository.mut.ac.ke
In the recent years, data mining has been utilized in education settings for extracting and
manipulating data, and for establishing patterns in order to produce useful information for …

A statistical approach to graduate admissions' chance prediction

N Chakrabarty, S Chowdhury, S Rana - Innovations in Computer Science …, 2020 - Springer
In the current scenario, grad students often experience difficulty in choosing a proper
institution for pursuing masters based on their academic performances. Although there are …

[PDF][PDF] Classification algorithm accuracy improvement for student graduation prediction using ensemble model

AC Lagman, LP Alfonso, MLI Goh, JP Lalata… - International Journal of …, 2020 - ijiet.org
Statistics, almost half of the first-time freshmen full time students who began seeking a
bachelor's degree do not graduate. The imbalance between the student enrolment and …

[PDF][PDF] Predictive analytics of university student intake using supervised methods

MYI Basheer, S Mutalib, NHA Hamid… - … International Journal of …, 2019 - academia.edu
Nowadays, the streams of big data come from various sources and could produce in mass
volume of data. These data are valuable for organizations to gain an advantage edge if it is …

Apply machine learning algorithms to predict at-risk students to admission period

O Embarak - 2020 Seventh International Conference on …, 2020 - ieeexplore.ieee.org
Educational organizations have a high burden of treating students with poor academic
success (At-risk students). Many methods are pursued to help this group of pupils, such as …

[PDF][PDF] Machine learning algorithms and ensemble technique to improve prediction of students performance

R Singh, S Pal - International Journal of Advanced Trends in …, 2020 - academia.edu
Measuring Student's performance is necessary for the mordent society. Applications of
Machine learning algorithms increased the growth in various fields like disease prediction …

A comparison of regression models for prediction of graduate admissions

MS Acharya, A Armaan… - … international conference on …, 2019 - ieeexplore.ieee.org
Prospective graduate students always face a dilemma deciding universities of their choice
while applying to master's programs. While there are a good number of predictors and …

Classification Method to Predict Chances of Students' Admission in a Particular College

DJ Devarapalli - Proceedings of International Conference on Recent …, 2021 - Springer
Abstract There are many Predictor/Prediction systems or applications on the internet, but
most of these prediction systems do not use any Machine Learning algorithms in their …