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 …
to the next steps. Student's academic performance is critical and could lead to failure if it is …
A scalable machine learning-based ensemble approach to enhance the prediction accuracy for identifying students at-risk
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 …
performance is the most important task, so that timely and requisite support may be provided …
Predicting students performance using supervised machine learning based on imbalanced dataset and wrapper feature selection
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 …
is one of the most crucial topics since it aids in the creation of practical systems that, among …
[PDF][PDF] Managing student performance: A predictive analytics using imbalanced data
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 …
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
The educational sector faced many types of research in predicting student performance
based on supervised and unsupervised machine learning algorithms. Most students' …
based on supervised and unsupervised machine learning algorithms. Most students' …
[PDF][PDF] Accuracy Enhancement of Prediction Method using SMOTE for Early Prediction Student's Graduation in XYZ University
Culture of the Republic of Indonesia's regulations from 2014, one of the essential elements
in implementing higher education is the student's study duration. Higher education …
in implementing higher education is the student's study duration. Higher education …
Improving student academic performance prediction models using feature selection
W Nuankaew, J Thongkam - 2020 17th International …, 2020 - ieeexplore.ieee.org
This paper presents methods to improve the prediction of student academic performance
using feature selection by removing misclassified instances and Synthetic Minority Over …
using feature selection by removing misclassified instances and Synthetic Minority Over …
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 …
is among the most beneficial and essential research topics. Data Mining is extremely helpful …
Multiclass prediction model for student grade prediction using machine learning
Today, predictive analytics applications became an urgent desire in higher educational
institutions. Predictive analytics used advanced analytics that encompasses machine …
institutions. Predictive analytics used advanced analytics that encompasses machine …
Prediction of student's academic performance using feedforward neural network augmented with stochastic trainers
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 …
educational institutions. The extensive use of information technology systems in education …