Rainfall Prediction a Novel Approach

Main Article Content

Sheetal Rasal, Bhavesh Rao, Saqlain Chaus, Prof. Umesh Mohite

Abstract

The proposed framework is a prescient model for precipitation forecast. It is a framework which will foresee the future climate condition in light of the over a wide span of time climate conditions. The proposed framework makes utilization of more number of characteristics than the current framework which makes the forecast more precise. The framework utilizes the classifier calculation that is Naïve Bayes Algorithm for ordering the datasets. The system makes use of the huge dataset of weather condition of various location. The system uses the classifier algorithm called Decision tree classifier for classifying the dataset into a tree format which is used for the purpose of decision making.

Article Details

How to Cite
, S. R. B. R. S. C. P. U. M. “Rainfall Prediction a Novel Approach”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 6, no. 1, Jan. 2018, pp. 174-7, doi:10.17762/ijritcc.v6i1.1402.
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Articles