Weighted Hybrid Machine Learning Algorithm to predict Rainfall for Hyderabad Region

A Weighted Hybrid Machine Learning algorithm using Classification cum regression for the predicting the amount of rainfall in Hyderabad region is proposed. The classification models are used for predicting the occurrence of rainfall, and regression models are used for predicting the value of Rainfall in mm. The methodology involved the weighted average of two hybrid algorithm that estimates the occurrence of rain and the amount of rainfall over Hyderabad Region. Five-year Data was collected from Hyderabad Metrological station along with few related features responsible for rainfall over particular region. Experimental results reveal that the predictions using the proposed approach are consistently better than those obtained using the other methods. The Predicted data for rainfall is later compared with Real time actual data of rainfall for April and May 2020 and found to yield 75% accuracy in the above said period.