Students’ Performance Prediction Using Feature Selection and Supervised Machine Learning Algorithms

Juhi Gajwani; Pinaki Chakraborty

doi:10.1007/978-981-15-5113-0_25

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Students’ Performance Prediction Using Feature Selection and Supervised Machine Learning Algorithms

Juhi Gajwani Pinaki Chakraborty

Year: 2020 Advances in intelligent systems and computing Pages: 347-354 Publisher: Springer Nature

DOI: 10.1007/978-981-15-5113-0_25

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Keywords:

Machine learning Artificial intelligence Computer science Random forest Naive Bayes classifier Feature selection Decision tree Boosting (machine learning) Ensemble learning Classifier (UML) Educational data mining Voting Logistic regression Statistical classification Support vector machine

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Online Learning and Analytics

Physical Sciences → Computer Science → Computer Science Applications

Software System Performance and Reliability

Physical Sciences → Computer Science → Computer Networks and Communications

Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Students’ Performance Prediction Using Feature Selection and Supervised Machine Learning Algorithms

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