Use of classification algorithms for the ice jams forecasting problem

Abstract

In the research the prediction of occurrence of ice jam based on the K Nearest Neighbor method was considered by example of the city of Velikiy Ustyug, located at the confluence of the Sukhona and Yug Rivers. A forecast accuracy of 82% was achieved based on selected most significant hydrological and meteorological features.