Authors :
Yeluri Kiranmai; Thota Kedhara Varshini; Tarun Kumar Kodali; Venigalla Sai Teja; N. Md. Jubair Basha
Volume/Issue :
Volume 7 - 2022, Issue 6 - June
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/38TUEno
DOI :
https://doi.org/10.5281/zenodo.6618458
Abstract :
Rainfall prognosis is one of the most important
technique to anticipate the climatic conditions across
globe. Heavy Rainfall is a major issue for meteorological
department as it is closely connected to the economy and
life of human beings. It is a source for natural disasters
like flood and drought which are encountered by people
across the globe every year. Prompt and explicit
predictions can assist proactively reduce human and
financial loss.
The paper introduces a Rainfall prediction model
using Multi Linear Regression, Random Forest
Regression and KNN Regression. The given input data is
having numerous inputs and to anticipate the rainfall in
more specific. The Mean Squared Error (MSE), accuracy
score of training and testing, R2_Score for the
parameters used to verify the proposed model. The
comparative outcome among various algorithms is also
presented in this paper.
Keywords :
Rainfall, Prediction, Machine Learning.
Rainfall prognosis is one of the most important
technique to anticipate the climatic conditions across
globe. Heavy Rainfall is a major issue for meteorological
department as it is closely connected to the economy and
life of human beings. It is a source for natural disasters
like flood and drought which are encountered by people
across the globe every year. Prompt and explicit
predictions can assist proactively reduce human and
financial loss.
The paper introduces a Rainfall prediction model
using Multi Linear Regression, Random Forest
Regression and KNN Regression. The given input data is
having numerous inputs and to anticipate the rainfall in
more specific. The Mean Squared Error (MSE), accuracy
score of training and testing, R2_Score for the
parameters used to verify the proposed model. The
comparative outcome among various algorithms is also
presented in this paper.
Keywords :
Rainfall, Prediction, Machine Learning.
