Prediction Of Rainfall Using Machine Learning

Rainfall Prediction is a challenging task due to irregular patterns of rainfall and climate variations all around the world. Rainfall forecasts helps to prevent floods and even helps in agriculture for growing crops. Machine learning aids in rainfall prediction by using unknown patterns from historical weather data. In this paper, classification technique of machine learning is used for rainfall prediction. The trained data is 80% and tested data is 20% of the whole data. The count of actual forecast and predicted forecast is analyzed. The classification model used is found to be 85% accurate. Many other machine learning algorithms are also compared on means of accuracy.