Two-Stage PNN–SVM Ensemble for Higher Education Admission Prediction

Two-Stage PNN–SVM Ensemble for Higher Education Admission Prediction

In this paper, we investigate the methods used to evaluate the admission chances of higher education institutions’ (HEI) entrants as a crucial factor that directly influences the admission efficiency, quality of education results, and future students’ life-long trajectories. Due to the conditions of...

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Bibliographic Details
Main Authors: Khrystyna Zub, Pavlo Zhezhnych, Christine Strauss
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Big Data and Cognitive Computing
Subjects:
higher education institution
admission prediction
support vector machine
ensemble stacking
linear regression
probabilistic neural network
Online Access:https://www.mdpi.com/2504-2289/7/2/83

Internet

https://www.mdpi.com/2504-2289/7/2/83

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