Imbalanced classification methods for student grade prediction: a systematic literature review
Student success is essential for improving the higher education system student outcome.
One way to measure student success is by predicting students' performance based on their …
One way to measure student success is by predicting students' performance based on their …
Educational data mining to predict students' academic performance: A survey study
Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …
education and informatics. It has become an imperative research area due to many …
Predicting the academic progression in student's standpoint using machine learning
MS Sassirekha, S Vijayalakshmi - Automatika: časopis za automatiku …, 2022 - hrcak.srce.hr
Sažetak Graduate students are unaware of their final qualification for a course. Even though
there were many models available, few works with feature selection and prediction with no …
there were many models available, few works with feature selection and prediction with no …
Prediction of student exam performance using data mining classification algorithms
Student outcomes are of great importance in higher education institutions. Accreditation
bodies focus on them as an indicator to measure the performance and effectiveness of the …
bodies focus on them as an indicator to measure the performance and effectiveness of the …
Classification of Student Graduation using Naï ve Bayes by Comparing between Random Oversampling and Feature Selections of Information Gain and Forward …
D Fahrudy - JOIV: International Journal on Informatics Visualization, 2022 - joiv.org
Class-imbalanced data with high attribute dimensions in datasets frequently contribute to
issues in a classification process as this can affect algorithms’ performance in the …
issues in a classification process as this can affect algorithms’ performance in the …
Student Study Timeline Prediction Model Using Naïve Bayes Based Forward Selection Feature
The student study period is one of the factors that show a student's academic performance.
Universities are required to be able to keep students able to complete their studies on time …
Universities are required to be able to keep students able to complete their studies on time …
Predicting students academic performance using a hybrid of machine learning algorithms
R Ayienda, R Rimiru, W Cheruiyot - 2021 IEEE AFRICON, 2021 - ieeexplore.ieee.org
Educational data mining (EDM) has become a very interesting field of study in machine
learning (ML), since it has enabled searchers to mine knowledge from educational …
learning (ML), since it has enabled searchers to mine knowledge from educational …
Preprocessing Data dan Klasifikasi untuk Prediksi Kinerja Akademik Siswa
T Gori, A Sunyoto, H Al Fatta - Jurnal Teknologi Informasi dan Ilmu …, 2024 - jtiik.ub.ac.id
Pendidikan merupakan aspek penting dalam kehidupan masyarakat dan memiliki peran
yang sangat vital untuk menciptakan sumber daya manusia yang handal dan berkualitas …
yang sangat vital untuk menciptakan sumber daya manusia yang handal dan berkualitas …
Effective deep learning based grade prediction system using gated recurrent unit (GRU) with feature optimization using analysis of variance (ANOVA)
S Lakshmi, CP Maheswaran - Automatika, 2024 - Taylor & Francis
The prediction of final semester grades is a crucial undertaking in education, offering
insights into student performance and enabling timely interventions to support their …
insights into student performance and enabling timely interventions to support their …
Deep Learning based Weight Guided Wrapper Feature Subset Method for Multiclass Data Classification
S Sivasankari, S Sukumaran… - …, 2022 - search.proquest.com
Real-world data is messy so Data Preprocessing is an important step in Machine Learning
to transforms the data in a format that can be understood and analyzed with less …
to transforms the data in a format that can be understood and analyzed with less …