Comparative Analysis of Computer Assisted Valuation of Descriptive Answers using WEKA with different classification algorithms

International Journal of Computer Science and Engineering

© 2017 by SSRG - IJCSE Journal

Volume 4 Issue 6

Year of Publication : 2017

Authors : Ruhi Dubey, Rajni Ranjan Singh Makwana

10.14445/23488387/IJCSE-V4I6P102

How to Cite?

Ruhi Dubey, Rajni Ranjan Singh Makwana, "Comparative Analysis of Computer Assisted Valuation of Descriptive Answers using WEKA with different classification algorithms," SSRG International Journal of Computer Science and Engineering , vol. 4,  no. 6, pp. 5-10, 2017. Crossref, https://doi.org/10.14445/23488387/IJCSE-V4I6P102

Abstract:

 Most of the exams conducted nowadays are online. Objective exams are the latest trends that are used for most of the competitive examinations. All India objective exams are one of the most successful exam patterns that are followed for different competitive examinations but a university exam are still theoritical type and at most of the places gets evaluated by using manual efforts. Here an comparative analysis is done by using weka tool and it’s in built classification algorithms to perform computer assisted valuation. An experiment is carried out in our academic organization to built required dataset. Dataset consist of 530 training samples and 159 test samples that are applied on some predefined algorithms. The algorithms that are used with their respective efficiency without using any threshold value are random forest classification- 61.63%,J48 classification- 51.57%, FT classification- 61.63%,naïve bayes classification - 49.68%, random tree classification - 59.11%, REPtree classification - 53.45%.

Keywords:

Random forest classification, J48 classification, FT classification, naïve bayes classification, random tree classification, reptree classification automated evaluation.

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