PREDICTION OF RAINFALL USING LINEAR REGRESSION, RANDOM FOREST AND KNN ALGORITHMS

Authors:

A. Akashnath Ganesh , K. Sowmya , BH. Prema Padmaja , A. Prasanna Kumari, A. Gowthami Priya

Page No: 765-771

Abstract:

In this paper,we present the Predicting rainfall is essential since excessive rains may cause a variety of calamities. Taking preventative actions is made easier with the aid of prediction. Moreover, the forecast should be correct. Because heavy precipitation is strongly connected with the economy and human lifespan, it might be a severe negative for earth science departments. Individuals all around the world square measure confronted with natural calamities like floods and droughts every year. For nations like India, whose economy is largely based on agriculture, the accuracy of rainfall estimates is of great importance. We are unable to accurately predict precipitation due to the nature of the atmosphere and the equations used. Regression may be used to forecast precipitation using machine learning approaches. Non-experts will have access to techniques and approaches used in precipitation prediction. A comparison study will be conducted among the various machine learning techniques.

Description:

Rainfall, Prediction, Machine Learning.

Volume & Issue

Volume-12,ISSUE-3

Keywords

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