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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Published Paper Details:
Paper Title
RAINFALL PREDICTION USING MACHINE LEARNING CLASSIFICATION ALGORITHMS
Authors
B.Revathi, C.Usharani
Keywords
Machine Learning, CART, IDA, Prediction.
Abstract
Machine learning entails artificial intelligence, and it's far used in fixing many problems in facts technology. One common Machine Learning application is the prediction of an outcome based upon existing data. Rainfall prediction is important as heavy rainfall can lead to many natural disasters. The main challenge is to build a model for long term rainfall prediction from the training data set. Decision tree classification is one of the best Machine Learning Algorithms. A decision tree is looks like a tree structure. Many decision trees have been formulated. In this paper we predict the rainfall data set using both CART and IDA decision tree algorithms. Using these algorithms which one provides highest predictive accuracy using performance measure.
IJCRT's Publication Details
Unique Identification Number - IJCRT2101363
Paper ID - 202548
Page Number(s) - 2963-2967
Pubished in - Volume 9 | Issue 1 | January 2021
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
B.Revathi, C.Usharani, "RAINFALL PREDICTION USING MACHINE LEARNING CLASSIFICATION ALGORITHMS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 1, pp.2963-2967, January 2021, Available at :http://www.ijcrt.org/papers/IJCRT2101363.pdf
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Volume 12 | Issue 7
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Volume 12 | Issue 7
Last Date :
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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