A new framework in improving prediction of class imbalance for student performance in Oman educational dataset using clustering based sampling techniques
According to the Oman Education Portal (OEP), data set imbalances are common in student performance. Most of the students are performing welI, while only small cases of students are underperformed. Classification techniques for the imbalanced dataset can yield deceivingly high prediction accuracy. T...
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| Format: | Thesis |
| Language: | English |
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2021
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| Online Access: | https://etd.uum.edu.my/10170/1/s902668_01.pdf |