Students' performance analysis system using cumulative predictor algorithm

JD Rose, K Vijayakumar… - International Journal of …, 2019 - inderscienceonline.com
… In this study C4.5 classifier and proposed algorithm with ensemble techniques such as …
SPAS is developed as incremental modules. There is several research studies carried out by …

An Incremental Ensemble of Classifiers based on Hypothesis Strength and Ambiguity Grade

PR Deshmukh, R Ade - Communications on Applied Electronics, 2016 - caeaccess.org
career is one of the most important aspects of the studentstechnique, called as an incremental
ensemble of classifiers. … Let, given a class label 𝑦𝑖, the predicted label 𝑦𝑡 of any test …

An Advanced Machine Learning Approach for Student Placement Prediction and Analysis

KE Rao, BM Pydi, TP Vital, PA Naidu… - International Journal …, 2023 - ijpe-online.com
… to help decision-makers. In this study, we use ML classification approaches to predict the
career a … and Deshmukh, PR An Incremental Ensemble of Classifiers as a Technique for …

Student Career Prediction Using Algorithms Of Machine Learning

A Sinha, A Singh - Ashish, Student Career Prediction Using …, 2023 - papers.ssrn.com
… , they predict the grades of the students in the next courses. For this, decision tree classification
and Naive Bayes method … , “An Incremental Ensemble Of Classifiers As A Technique For …

Predicting engineering students' academic performance using ensemble classifiers-a preliminary finding/A'zraa Afhzan Ab Rahim and Norlida Buniyamin

N Buniyamin - Journal of Electrical and Electronic Systems …, 2022 - ir.uitm.edu.my
… of different single classifiers such as in Table 1 against ensemble classifiers such as … (RF),
and Heterogeneous Ensemble Method (HEM) in predicting engineering students' academic …

Predicting students academic performance using an improved random forest classifier

S Jayaprakash, S Krishnan… - … conference on emerging …, 2020 - ieeexplore.ieee.org
… a technique named improved random forest classifier. This … and ensemble learners are
used to build the model to predict … used the voting methodology and combined the incremental

[PDF][PDF] Early prediction of students at risk in a virtual learning environment using ensemble machine learning techniques

R Soobramoney - 2021 - openscholar.dut.ac.za
… than each of the individual classifiers on their own. The use of ensemble ML techniques for
this study will provide an improved solution to the problem of predicting SAR. To this end, this …

[PDF][PDF] Performance Comparison of the Optimized Ensemble Model with Existing Classifier Models.

M Kumar, A Quteishat, A Qtaishat - International Journal of Modern …, 2022 - academia.edu
… of various classifiers and ensembles of classifiers in predicting … of ensemble techniques
that employ several classifiers … employing ensemble learning to predict student performance …

Ensemble learning using fuzzy weights to improve learning style identification for adapted instructional routines

C Troussas, A Krouska, C Sgouropoulou, I Voyiatzis - Entropy, 2020 - mdpi.com
… To this end, this paper presents an ensemble method for … A linear learning progress and
learning in small incremental … Our approach employing ensemble of classifiers managed to …

Predicting students' academic performance by mining the educational data through machine learning-based classification model

P Nayak, S Vaheed, S Gupta, N Mohan - Education and Information …, 2023 - Springer
… learning-based classification models through the feature selection method and to … classification
algorithm was based on an online ensemble of classifiers that integrates an incremental