Engineering & Technology

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A Hybrid Approach to Questionnaire Generation Using Las Vegas Algorithm and Naive Bayes Algorithm

Volume: 102  ,  Issue: 1 , June    Published Date: 07 June 2022
Publisher Name: IJRP
Views: 377  ,  Download: 272 , Pages: 367 - 377    
DOI: 10.47119/IJRP1001021620223304

Authors

# Author Name
1 Kyle Dominic Galima
2 Kyle Marin
3 Richard Regala
4 Mark Christopher Blanco
5 Dan Michael Cortez

Abstract

Examination plays an important role in testing the student?s knowledge. The conventional style of creating, preparing, and generation of test questions manually is intriguing and cumbersome. In this study, we introduce an automated questionnaire generation system that uses a hybrid approach using Na?ve Bayes (NB) and Las Vegas Algorithm (LVA). LVA is a randomized algorithm by Laslo Babai that always produces a correct result but has a running time that is based on a random value. While NB is one of the most well-known data mining algorithms for classification.

Keywords

  • Last vegas algorithm
  • Naive Bayes Algorithm
  • questionnaire generation
  • hybrid las vegas
  • hybrid naive bayes