Implementation of Ensemble Learning to Predict Learner’s Attainment—A Random Forest Classifier
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9531-8_22
Reference22 articles.
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3. Pallathadka H et al (2023) Classification and prediction of student performance data using various machine learning algorithms. Mater Today Proc 80:3782–3785
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5. Lu Q, Chai Y, Ren L, Ren P, Zhou J, Lin C (2023) Research on quality evaluation of innovation and entrepreneurship education for college students based on random forest algorithm and logistic regression model. Peer J Comput Sci
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