Analysis of machine learning strategies for prediction of passing undergraduate admission test
This article primarily focuses on understanding the reasons behind the failure of undergraduate admission seekers using different machine learning (ML) strategies. An operative dataset has been equipped using the least significant attributes to avoid the complexity of the model. The procedure halted...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-11-01
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Series: | International Journal of Information Management Data Insights |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2667096822000544 |