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International Journal of Research and Analytical Reviews (IJRAR)

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E-ISSN 2348-1269, P- ISSN 2349-5138 | ESTD Year: 2014

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  Paper Title  

WATER LEVEL PREDICTION OF LAKE USING WEIGHTEDSUM ENSEMBLE (ADABOOST) MACHINE LEARNING

  Authors

  Anjali Ramani,  Apurv Verma

  Keywords

SVM,NB,KNN,boosting

  Abstract


Lake water elevation changes seasonally example that, high in the soaked summer and low in the dried out winter with sharp falling/ rising limbs through typhoon events, but not in a straightforward periodic mode except for the seiche oscillation that occurs mostly in huge lakes. Effectual forecasting tools play an significant role in the studies of lakes level measures. Hence it is the vital research area. In this paper we have proposed the use of ensemble machine learning classification because, dataset is of heterogenous in nature, so one classifier cannot achieve desirable accuracy. In proposed prediction model dataset is divided into subset and boosting (Adaboost) applied to get accurate classifier. Proposed method achieved average accuracy as 98%

  Cite this article

  Anjali Ramani,  Apurv Verma,   "WATER LEVEL PREDICTION OF LAKE USING WEIGHTEDSUM ENSEMBLE (ADABOOST) MACHINE LEARNING", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.8, Issue 1, Page No pp.64-67, January 2021, Available at : http://www.ijrar.org/IJRAR21A1010.pdf  

  IJRAR's Publication Details

  Unique Identification Number - IJRAR21A1010

  Paper ID - 212860

  Page Number(s) - 64-67

  Pubished in - Volume 8 | Issue 1 | January 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJRAR | www.ijrar.org | E-ISSN 2348-1269, P- ISSN 2349-5138

  E-ISSN 2348-1269, P- ISSN 2349-5138

  Cite this article

  Anjali Ramani,  Apurv Verma,   "WATER LEVEL PREDICTION OF LAKE USING WEIGHTEDSUM ENSEMBLE (ADABOOST) MACHINE LEARNING", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.8, Issue 1, Page No pp.64-67, January 2021, Available at : http://www.ijrar.org/IJRAR21A1010.pdf

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The IJRAR - International Journal of Research and Analytical Reviews (IJRAR) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world.


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