The in situ data used for model cross-validation are derived from the Kuroshio Extension System Study (KESS) and regular oceanographic survey data from the Japan Meteorological Agency. The KESS project, funded by the National Science Foundation of the United States, is a large-scale observation re...
The R project of statistical computing (Wirtschaftsuniversität, Wien, Austria) was used for classification analysis to develop the algorithms. The RF ensemble learning method, proposed by Breiman, is a combination of tree predictors where each tree depends on the values of a random vector ...