Support Vector Machine–Based Prediction System for a FootballMatch Result

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 3

Abstract

 Abstract: Different techniques have been used to develop result prediction systems. In particular, footballmatch result prediction systems have been developed with techniques such as artificial neural networks, naïveBayesian system, k-nearest neighbor algorithms (k-nn), and others. The choice of any technique depends on theapplication domain as well as the feature sets. The priority of a system developer or designer in most cases is toobtain a high prediction accuracy. The objective of this study is to investigate the performance of a SupportVector Machine (SVM) with respect to the prediction of football matches. Gaussian combination kernel type isused to generate 79 support vectors at 100000 iterations. 16 example football match results (data sets) weretrained to predict 15 matches. The findings showed 53.3% prediction accuracy, which is relatively low. Untilproven otherwise by other studies, an SVM-based system (as devised here) is not good enough in thisapplication domain.

Authors and Affiliations

Chinwe Peace Igiri

Keywords

Related Articles

 Clustering and Classification of Cancer Data Using Soft  Computing Technique

 Clustering and classification of cancer data has been used with success in field of medical side. In this paper the two algorithm K-means and fuzzy C-means proposed for the comparison and find the accuracy of &nb...

Intrusion Detection System using Apache Spark Analytic System

In this study, an Intrusion Detection System (IDS) is proposed based on the use of machine learning and distributed computing. The proposed system uses classification techniques that are implemented in the built-in machi...

 Class Diagram Extraction from Textual Requirements Using NLPTechniques

 Abstract: A new method for translating software requirements to object-oriented model is proposed. Softwarerequirements specified in a natural language using scenario like format will be transformed into class diag...

Robot Car for Exploring Dangerous environments controlled by Bluetooth

Car controlling one of the projects that get a lot of attention in this days. There are many challenges generated during implementation of system especially when the car connected with number of sensors and that mean the...

 Graphical Password Strength in Cloud Computing

Abstract: In a Network we have various issues to work with our services & data (maintenances) & today Cloud computing provides convenient on-demand network access to a shared pool of configurable enumerate resour...

Download PDF file
  • EP ID EP111323
  • DOI -
  • Views 120
  • Downloads 0

How To Cite

Chinwe Peace Igiri (2015).  Support Vector Machine–Based Prediction System for a FootballMatch Result. IOSR Journals (IOSR Journal of Computer Engineering), 17(3), 21-26. https://europub.co.uk/articles/-A-111323