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Abstract
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Article Information:
Predicting Performance of Schools by Applying Data Mining Techniques on Public Examination Results
J. Macklin Abraham Navamani and A. Kannammal
Corresponding Author: J. Macklin Abraham Navamani
Submitted: July 24, 2014
Accepted: October 12, 2014
Published: February 05, 2015 |
Abstract:
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This study work presents a systematic analysis of various features of the higher grade school public examination results data in the state of Tamil Nadu, India through different data mining classification algorithms to predict the performance of Schools. Nowadays the parents always targets to select the right city, school and factors which contributes to the success of the results in schools of their children. There could be possible effects of factors such as Ethnic mix, Medium of study, geography could make a difference in results. The proposed work would focus on two fold factors namely Machine Learning algorithms to predict School performance with satisfying accuracy and to evaluate the data mining technique which would give better accuracy of the learning algorithms. It was found that there exist some apparent and some less noticeable attributes that demonstrate a strong correlation with student performance. Data were collected through the credible source data preparation and correlation analysis. The findings revealed that the public examinations results data was a very helpful predictor of performance of school in order to improve the result with maximum level and also improved the overall accuracy with the help of Adaboost technique.
Key words: Educational Data Mining, prediction of school performance, public examination, random forest, , ,
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Cite this Reference:
J. Macklin Abraham Navamani and A. Kannammal, . Predicting Performance of Schools by Applying Data Mining Techniques on Public Examination Results. Research Journal of Applied Sciences, Engineering and Technology, (4): 262-271.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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