There are two types of monsoons or rainfall seasons in India: summer rainfall from October to March and winter rainfall from April to September. Rainfall plays a vital role in the cultivation, cropping, drinking and other purpose of human beings. Generally, in India, most of times the water source is from rain. In this paper, we are fitted isotonic regression model, linear regression, additive regression, Rep tree and simple linear regression by using machine learning models and are estimated using WEKA software for rainfall as dependent variable and time as an independent variable. The best model for the data is chosen using various accuracy measures like Absolute Mean Error, Root Mean Squared Error, Relative absolute error and Root Relative squared error.

Rainfall, Isotonic Regression, Rep tree, RMSE

[1] P.E.NailHomani, “Time series Analysis model for Rainfall data in Jordan case study for using Time series Analysis”, American Journal of environmental sciences vol. 5 no5, pp. 599-604, 2009.
[2] MostataDastorani, Mohammad Mirzawad, Mohammad TaghiDastorani, and Syed Javad Sadatinejad,“Comparative study among different time series models applied to monthly rainfall forecasting in semi-arid climate condition”, Natural Hazards, vol. 81, pp.1811–1827, 2016.
[3] N. Hasan, N. C. Nath and R. I. Rasel, “A support vector regression model for forecasting rainfall”, 2015 2nd International Conference on Electrical Information and Communication Technologies (EICT), Khulna, Bangladesh, pp. 554-559, 2015. doi: 10.1109/EICT.2015.7392014.
[4] Kin C. Luk, J.E. Ball and A. Sharma,“An application of Artificial Neural Networks for rainfall forecasting”, mathematical and computer modelling, vol 33, pp. 683-693, 2001.
[5] N.Q.Hung, M.S. Babel, S. Weejakul and N.K. Tripathi,“An Artificial Neural Network model for rainfall forecasting in Bangkok”, Thailand, Hydrology and earth sciences, vol. 13, pp.1413-1425, 2009.
[6] M. P. Darji, V. K. Dabhi and H. B. Prajapati, "Rainfall forecasting using neural network: A survey, “Proceedings of the International Conference on Advances in Computer Engineering and Applications, Ghaziabad, India, pp.706-713, 2015, doi: 10.1109/ICACEA.2015.7164782.
[7] B. Hari Mallikarjuna Reddy, S. Venkatramana Reddy, and B. Sarojamma, “Data Mining Techniques for estimation of wind speed using WEKA”, International Journal of Computer Sciences and Engineering(IJCSE), 9(9), 49-53. 2021.
DOI: https://doi.org/10.26438/ijcse/v9i9.4851
[8] S. Damodharan, S. Venkatramana Reddy, B.Sarojamma, “Quantile Regression Models for Rainfall Data”, International Journal of Computer Sciences and Engineering(IJCSE), 9(9), 83-85, 2021.
DOI: https://doi.org/10.26438/ijcse/v9i9.8385
[9] Data website: URL:http://www.imd.gov.in/Welcome%20To%20IMD/Welcome.php.