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Prediction of Study Track using Decision Tree and Aptitude Test

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Deepali Joshi
10.5120/ijca2016911911

Deepali Joshi. Prediction of Study Track using Decision Tree and Aptitude Test. International Journal of Computer Applications 152(8):33-36, October 2016. BibTeX

@article{10.5120/ijca2016911911,
	author = {Deepali Joshi},
	title = {Prediction of Study Track using Decision Tree and Aptitude Test},
	journal = {International Journal of Computer Applications},
	issue_date = {October 2016},
	volume = {152},
	number = {8},
	month = {Oct},
	year = {2016},
	issn = {0975-8887},
	pages = {33-36},
	numpages = {4},
	url = {http://www.ijcaonline.org/archives/volume152/number8/26343-2016911911},
	doi = {10.5120/ijca2016911911},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

In order to succeed in the competitive environment it is essential to be successful in academics. The basic education is from 1st to 10th standard and once 10th standard is complete there are various courses that can be selected by the students such as Science, Commerce, Arts and Diploma. It becomes difficult to identify the suitable stream. The proposed system can be used to solve the problem. The proposed system implements two methods to generate solution. The Aptitude Test predicts the suitable stream depending upon the intellectual capability of the student. Apart from this prediction is done depending on the ssc marks obtained by the student. The combination of these two methods is also implemented to get more accurate results. The proposed system not only predicts the stream but also specifies the colleges for the predicted stream depending upon the location of student and also gives information about vocational courses that the student can pursue after 10th.

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Keywords

Data Mining, C4.5, NBTree, ssc, ssc-marks, Precision, Recall, fMeasure