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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Paper Title
PREDICTION OF PLACEMENT OF CANDIDATES USING KNN, LOGISTIC REGRESSION AND RANDOM FOREST MODEL
Authors
Yogadisha S, Sai Shruthi S, Antarjita Mandal
Keywords
placements, factors, Campus Placements, regression models, random forest, logistic regression, KNN, exploratory data analysis
Abstract
Job Placements provide an opportunity for candidates to find suitable work according to their educational qualification and past experience. The competition among the candidates for a job placement is extremely high . Thus it becomes necessary to analyze the various factors that influence the job placement of candidates. The motive behind this paper is to analyze the placement dataset of an educational institution and understand the academic and employability factors that affect the job placements. Further on, a methodology is proposed to predict the job placement of various candidates using KNN, Logistic Regression and Random Forest models. The accuracy of the models is found out and compared to determine the best fit for the problem statement in hand.
This proposed solution contributes towards identifying whether a particular candidate will secure a job placement or not.
IJCRT's Publication Details
Unique Identification Number - IJCRT2105762
Paper ID - 207651
Page Number(s) - h232-h237
Pubished in - Volume 9 | Issue 5 | May 2021
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Yogadisha S, Sai Shruthi S, Antarjita Mandal, "PREDICTION OF PLACEMENT OF CANDIDATES USING KNN, LOGISTIC REGRESSION AND RANDOM FOREST MODEL", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 5, pp.h232-h237, May 2021, Available at :http://www.ijcrt.org/papers/IJCRT2105762.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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