Modes of Entry as Predictors of Academic Performance of Engineering Students in a Nigerian University

Olorunmaiye, J.A.; Ogunniyi, Olalekan J.; Yahaya, Taiwo; Olaoye, Joshua Olanrewaju; Ajayi-Banji, Ademola Ayodeji

doi:10.1109/weef-gedc49885.2020.9293683

2020 IFEES World Engineering Education Forum - Global Engineering Deans Council (WEEF-GEDC) 2020

DOI: 10.1109/weef-gedc49885.2020.9293683

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Modes of Entry as Predictors of Academic Performance of Engineering Students in a Nigerian University

J.A. Olorunmaiye

Olalekan J. Ogunniyi

Taiwo Yahaya

et al.

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Validate students performance based on enrolled module using classification technique of novel naive bayes comparing with logistic regression

Krishna,

Ashokkumar

2023

INTERNATIONAL CONFERENCE ON SCIENCE, ENGINEERING, AND TECHNOLOGY 2022: Conference Proceedings

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Modes of Entry as Predictors of Academic Performance of Engineering Students in a Nigerian University

Cited by 3 publications

References 0 publications

Validate students performance based on enrolled module using classification technique of novel naive bayes comparing with logistic regression

Validate students performance based on enrolled module using classification technique of novel naive bayes comparing with logistic regression

Student performance Prediction using Ensemble Technique

Using the Ensemble Approach, Predict Students' Achievement

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