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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM36720

FUTURE SCHOLAR PREDICTION

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM36720

Volume:

8 |

7 |

Jul 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AKSI

Athiya Kousar S I

DSBB

Dr. Shankargowda B B

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Abstract

Under the current circumstances, individuals frequently struggle to identify an appropriate university for their requirements. Certain internet applications and advising services suggest institutions, however, such applications are inaccurate as well as charge exorbitant consulting costs. Therefore, the goal of the current study is to create an equation that can precisely forecast the proportion of applicants to universities. Additionally, considering prior data, this approach offers a breakdown of results v/s predictive probability, enabling individuals to determine whether the feasibility of their resume is appropriate. The suggested model makes use of the random woodland and linear correlation techniques, although the animal improvement approach yields the best effectiveness.

KEYWORDS

admissions graduate studies Regression Classification Ensemble methods coefficient of determination

Cite This Article

Athiya Kousar S I, Dr. Shankargowda B B, "FUTURE SCHOLAR PREDICTION," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 7, Jul 2024.

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Publication Date

7/23/2024

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The authors declare no conflict of interest related to this research work.

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