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An empirical assessment of smote variants techniques and interpretation methods in improving the accuracy and the interpretability of student performance models

Hayat Sahlaoui, El Arbi Abdellaoui Alaoui, Saïd Agoujil, Anand Nayyar

2023Education and Information Technologies31 citationsDOI

Topics & Concepts

InterpretabilityComputer scienceMachine learningOversamplingArtificial intelligenceInterpretation (philosophy)Classifier (UML)Random forestClass (philosophy)Data miningBandwidth (computing)Computer networkProgramming languageImbalanced Data Classification TechniquesOnline Learning and AnalyticsMachine Learning and Data Classification
An empirical assessment of smote variants techniques and interpretation methods in improving the accuracy and the interpretability of student performance models | Litcius