Using the decisions of the Random Forest algorithm for the purposes of forecasting pink salmon runs on north-eastern Kamchatka

Forecasting of pink salmon runs in Kamchatka uses modern powerful method of machine learning Random Forest (random forest of decision trees). Monthly data of climate indices are used as predictors. Forecasting applies iterative way of selection of the most important factors. Decision about the best model is based on the least error on test data. The algorithm of the method is written in R language.