International Journal of Statistics and Applied Mathematics
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International Journal of Statistics and Applied Mathematics

2021, Vol. 6, Issue 3, Part B

Prediction of rainfall by using extreme gradient boost (XG boost) in Vishakapattanam area, Andhra Pradesh


Author(s): Dr. Kesavulu Poola and P Hema Sekhar

Abstract: Now-a-days the prophecy of rainfall in a particular time periods is scientifically challenging and tough jobs because, we found anomalous changes in climatic conditions. In the contemporary fast moving world, forecasting of Rainfall, it is very helpful for planning and satisfying Agricultural needs. There are many research institutes are rigorously trying to find the rainfall predictions by using different techniques. This paper describes, how XG Boost Analysis predicts the rainfall in Monthly Scales. In the paper we recommend that XG-Boost Model is best fit to forecast the rainfall up to 3 to 5 years with 95% accuracy by the evidence of Analyzing last 30 years of data (1987-2017) in Vishakapattanam region. The present article indicates that the XG-Boost Model provides Consistent and Satisfactory Prophecy for Rainfall on Monthly Scales in Vishakapattanam.

Pages: 83-86 | Views: 77 | Downloads: 5

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How to cite this article:
Dr. Kesavulu Poola, P Hema Sekhar. Prediction of rainfall by using extreme gradient boost (XG boost) in Vishakapattanam area, Andhra Pradesh. Int J Stat Appl Math 2021;6(3):83-86.
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