OPTIMIZATION ALGORITHM IN THE CLASSIFICATION MODELS TO PREDICT THE RAINFALL EFFECTIVELY

Floods, extreme precipitation, and storms account for 90% of all weatherrelated natural catastrophes. Extreme rainfall results in massive losses and damages, which in turn result in irreparable losses for humanity. Using RapidMiner and SPSS, we developed a trained, tested, and validated rainfall prediction model (RPM), artificial neural network (ANN), and regression technique (RT) to forecast this potentially disastrous meteorological phenomena. Natural disasters have a direct bearing on the security of our society and are thus an essential component of our daily lives. Contributes to the common good if it may be anticipated in time to be used before it becomes outdated.