Deployment of ID3 decision tree algorithm for placement prediction

Prof. Neena Madan; Kirandeep

Title:
Deployment of ID3 decision tree algorithm for placement prediction

Authors:
Kirandeep | Prof. Neena Madan
DOI:
https://doi.org/10.31142/ijtsrd11073

Cite This Article :

Kirandeep | Prof. Neena Madan "Deployment of ID3 decision tree algorithm for placement prediction" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3, April 2018, pp.740-744, URL: https://www.ijtsrd.com/papers/ijtsrd11073.pdf

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Abstract :
This paper details the ID3 classification algorithm. Very simply, ID3 builds a decision tree from a fixed set of examples. The resulting tree is used to classify future samples. The decision node is an attribute test with each branch (to another decision tree) being a possible value of the attribute. ID3 uses information gain to help it decide which attribute goes into a decision node. The main aim of this paper is to identify relevant attributes based on quantitative and qualitative aspects of a student's profile such as CGPA, academic performance, technical and communication skills and design a model which can predict the placement of a student. For this purpose ID3 classification technique based on decision tree has been used.

Keywords :
Decision tree,Classification techniques,ID3 algorithm

Publication Details:

Unique Identification Number : IJTSRD11073

Published In : Volume-2 | Issue-3, April 2018

Page Number(s) : 740-744

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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