Machine learning weather prediction

Abstract

Weather prediction is a crucial tool for a wide range of applications, including ag-riculture, transportation, and disaster preparedness and response. It remains one of the most complex scientific and technological challenges worldwide. In the current study, we investigate the effectiveness of one of the most accurate and adopted machine learning algorithms in various fields, which is K-Nearest Neighbors (KNN), the obtained results demonstrate that KNN is a promising method for weather prediction, achiving an accuracy=85,07 on weatherHistory dataset.