Enhancing Student Performance Prediction Using a Combined SVM-Radial Basis Function Approach
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2024, Vol 12, Issue 3
Abstract
This research aims to improve student performance predictions using a combined SVM (Support Vector Machine) and radial basis function (RBF) approach. The developed model utilizes a combination of the strengths of SVM in handling class separation and the ability of RBF to capture complex patterns in data. Student assessment data, including math, reading, and writing scores, is used as a feature to predict student performance on tests. Preprocessing steps, including feature normalization and label encoding, are applied to prepare the data for model training. Next, the SVM model with the RBF kernel is initialized and optimized using GridSearchCV to find the best parameters. Model evaluation was carried out using the R2 metric to evaluate how well the model predicts student performance. Experimental results show that the combined SVM-RBF approach can improve student performance predictions with fairly accurate prediction results of 88%. The practical implication of this research is the development of a more accurate model for predicting student performance, which can be used as a tool to improve educational interventions and decision-making in educational institutions.
Authors and Affiliations
Yuan Anisa Winda Erika and Fadhillah Azmi
Keywords
Related Articles
- EP ID EP744963
- DOI 10.55524/ijircst.2024.12.3.1
- Views 18
- Downloads 0
Age Estimation Through Radiographs
The skeleton is an important part of the human body. It provides a definite shape and defines the stature of the human body along with it also plays an important role in forensic science. It aids forensic anthropologists...
Time and Motion Study of Oil Pump Assembly
The purpose of this study was to recommend the improvement methodologies for the productivity of oil pump in a manufacturing company. Any manufacturing company should use its resources in an efficient manner thus improvi...
An Enhanced AODV Routing Protocol to detect and isolate selfish nodes in Manets
The fact that security is a critical problem when implementing mobile ad hoc networks (MANETs) is widely acknowledged. One of the different kinds of misbehaviour a node may exhibit is selfishness. A selfish node is a nod...
A Review Paper on Digital Advertising
Despite the constantly increasing spending on digital advertising, the efficiency of the ecosystem's operating is becoming more apparent. This is because just a tiny portion of the money spent by businesses on different...
A Review of AI in Breast Cancer Detection
Cancer stands out as one of the most pressing global health challenges, and over the past decade, significant advancements have been made in diagnostic tests and methodologies. These tests fall into categories such as im...