… In summary, this work considerably has extended the existing studies on machine learning
based student performance prediction, which only applied a few machine learning methods …

… identify students who would have difficulty in their learning … comparative analysis of the
most used machine learning classification models in the literature. We evaluate the performance …

… about student`s GPA prediction to increase their performance… In the future, Ensemble
Learning approach will be used as … a more robust model for students’ performance prediction. …

… study used several supervised machine learning algorithms to predict the academic performance
of students … A comparative study to obtain an adequate model in prediction of electricity …

… and performance. This research paper will present a comparison of performance of five
popular machine learning models used in predictive analytics—generalized linear model, …

… in student success prediction models is often the most difficult task. This study proposed a
model for predicting student performance dependent on the supervised learning technique …

… have been investigated and compared to get the optimized prediction model. … comparative
study of a statistical analysis techniques, machines learning (ML) algorithms, and one of deep …

… using active learning [8], predictions of student performance … [9], and predicting student
performance using advanced learning … , using the Fuzzy method is also done to predict student …

… in predicting student academic achievement based on a variety of parameters. In contrast to
Reptree, SimpleCart, Decision table, and J48 machine learning … -strategy machine learning …

… Abstract: Predicting academic performance of the student is crucial task as it depends on
various factors. To perform such predictions the machine learning and data mining algorithms …