Prediction of Rainfall in Australia Using Machine Learning

Meteorological phenomena is an area in which a large amount of data generated and where it more difficult to make predictions about events that will occur due the high number variables on they depend. In general, for this, probabilistic models are used offer with margin error, so many cases not very good. Due aforementioned conditions, use machine learning algorithms can serve improve predictions. This article describes exploratory study phenomenon rain. To do set was taken as example measurements gathered rainfall main cities Australia last 10 years, some were applied (knn, decision tree, random forest, neural networks). The results show best model based networks.