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Prediction of Secondary School Students’ Alcohol Addiction using Random Forest

by B. Hariharan, R. Krithivasan, Angel Deborah
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 149 - Number 6
Year of Publication: 2016
Authors: B. Hariharan, R. Krithivasan, Angel Deborah
10.5120/ijca2016911423

B. Hariharan, R. Krithivasan, Angel Deborah . Prediction of Secondary School Students’ Alcohol Addiction using Random Forest. International Journal of Computer Applications. 149, 6 ( Sep 2016), 21-25. DOI=10.5120/ijca2016911423

@article{ 10.5120/ijca2016911423,
author = { B. Hariharan, R. Krithivasan, Angel Deborah },
title = { Prediction of Secondary School Students’ Alcohol Addiction using Random Forest },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2016 },
volume = { 149 },
number = { 6 },
month = { Sep },
year = { 2016 },
issn = { 0975-8887 },
pages = { 21-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume149/number6/26001-2016911423/ },
doi = { 10.5120/ijca2016911423 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:54:00.332784+05:30
%A B. Hariharan
%A R. Krithivasan
%A Angel Deborah
%T Prediction of Secondary School Students’ Alcohol Addiction using Random Forest
%J International Journal of Computer Applications
%@ 0975-8887
%V 149
%N 6
%P 21-25
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Teenage alcohol addiction poses a major problem to the well-being of the individual as well as the society. Prevention of this requires identifying the factors causing this addiction. The existing systems mainly rely on decision trees and are able to isolate the factors causing the addiction. The proposed system will be able to predict whether a student with a set of conditions will get addicted to alcohol or not with high accuracy and thereby verify the extent to which the isolated factors are correct.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Student alcohol behavior Prediction data mining patterns Knowledge patterns

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