Predicting students performance using supervised machine learning based on imbalanced dataset and wrapper feature selection

S Alija, E Beqiri, AS Gaafar, AK Hamoud - Informatica, 2023 - informatica.si
For learning environments like schools and colleges, predicting the performance of students
is one of the most crucial topics since it aids in the creation of practical systems that, among …

A scalable machine learning-based ensemble approach to enhance the prediction accuracy for identifying students at-risk

S Verma, RK Yadav, K Kholiya - International Journal of …, 2022 - search.proquest.com
Among the educational data mining problems, the early prediction of the students' academic
performance is the most important task, so that timely and requisite support may be provided …

Comparing different resampling methods in predicting students' performance using machine learning techniques

R Ghorbani, R Ghousi - IEEE access, 2020 - ieeexplore.ieee.org
In today's world, due to the advancement of technology, predicting the students' performance
is among the most beneficial and essential research topics. Data Mining is extremely helpful …

Efficient hyperparameter tuning for predicting student performance with Bayesian optimization

S Albahli - Multimedia Tools and Applications, 2023 - Springer
Higher education is crucial as it introduces students to various fields and then guides them
to the next steps. Student's academic performance is critical and could lead to failure if it is …

[PDF][PDF] Managing student performance: A predictive analytics using imbalanced data

U Ashfaq, PM Booma, R Mafas - International Journal of Recent …, 2020 - researchgate.net
Big data has revolutionized every field of life, which accumulates human learning as well.
The field of education has progressed in past couple of decades, and addition to that, rapid …

[PDF][PDF] A prediction model based machine learning algorithms with feature selection approaches over imbalanced dataset

AK Hamoud, MBM Kamel, AS Gaafar… - Indonesian Journal …, 2022 - pdfs.semanticscholar.org
The educational sector faced many types of research in predicting student performance
based on supervised and unsupervised machine learning algorithms. Most students' …

Improved students' performance prediction for multi-class imbalanced problems using hybrid and ensemble approach in educational data mining

H Hassan, NB Ahmad, S Anuar - Journal of Physics: Conference …, 2020 - iopscience.iop.org
Among the problems raised in the data mining area, the class imbalance is a well-known
issue that always occurs. Many researchers studied this issue in several fields using three …

[PDF][PDF] Learning from Imbalanced Educational Data Using Ensemble Machine Learning Algorithms.

T Lenin, N Chandrasekaran - Webology, 2021 - webology.org
Student's academic performance is one of the most important parameters for evaluating the
standard of any institute. It has become a paramount importance for any institute to identify …

Prediction of student's academic performance using feedforward neural network augmented with stochastic trainers

T Thaher, R Jayousi - 2020 IEEE 14th International Conference …, 2020 - ieeexplore.ieee.org
The academic performance of students is of great interest to tutors and decision-makers in
educational institutions. The extensive use of information technology systems in education …

[PDF][PDF] Machine learning algorithms and ensemble technique to improve prediction of students performance

R Singh, S Pal - International Journal of Advanced Trends in …, 2020 - academia.edu
Measuring Student's performance is necessary for the mordent society. Applications of
Machine learning algorithms increased the growth in various fields like disease prediction …